diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 90f4bde3..54bacd6d 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -47,6 +47,7 @@ jobs: - run: tests/image_test.sh - run: tests/host_setup_test.sh - run: tests/eat_test.sh + - run: tests/eas_test.sh - run: tests/platforms_doc_test.sh - run: tests/reserved_cpus_test.sh - run: tests/experimental_test.sh diff --git a/EXPERIMENTS.md b/EXPERIMENTS.md index c9689b5f..1d944d2f 100644 --- a/EXPERIMENTS.md +++ b/EXPERIMENTS.md @@ -72,7 +72,7 @@ setup too weak to decide). Only `SUPPORTED` backs a claim. | H52b | After `k3d-gpu host-setup --apply` configures the host's DSA, IAA and QAT (the fix that adds that path, merged first), a plain `k3d-gpu up` also advertises them, and each one reaches a pod; the host is then restored exactly. | Written 2026-10-20, before the fix exists. DSA, IAA and QAT allocatable > 0, each at the count host-setup reports configuring; their test pods see `/dev/dsa`, `/dev/iax`, `/dev/vfio` (0.6). The other rows read as H52's expected table, media labels included ([amendment D1](#h52-amendment-d1-the-fixes-and-h52b-2026-10-20)). | Runs after H52, once the host-setup fix is merged; same procedure plus `host-setup --apply` before `up` and its printed revert after. SUPPORTED: the three engines advertised and reached, the H52 rows unchanged, and the host inventory read back equal to the one taken before. REFUTED: any of these fails. The host-setup command (`--apply --with-kernel-wqs`), the plan read first, the counts, the plain `up`'s node image and the revert per [amendment D2](#h52-amendment-d2-h52bs-host-setup-step-on-crescent-2026-10-29); the runner and deploy commit per [amendment D3](#h52-amendment-d3-h52bs-runner-and-deploy-commit-2026-10-29). Result ([H52b run](#h52b-run-xeon-6741p-2026-10-29)): one hold at k3d-gpu 0.1.79; the plan passed D2's gate (8 commands) and applied. DSA advertised 3 of the 3 configured work queues and its pod saw `/dev/dsa`; IAA got no work queue and no resource (as D2 item 4 disclosed); QAT got 48 VFs, but its plugin crash-looped and advertised none; `gpu.intel.com/xe` read 2, not 4: the serving pairs hold about half the VRAM of all four cards, and `up`'s busy-card filter (half the VRAM) left out the two just over half (16.1, 16.2 GiB) and kept the two just under it (15.4, 15.5 GiB), which the pairs also hold, so two enumeration pods ran, not four. Media labels (`vcs` 2, `vecs` 2), AMX, the 14 AVX-512/VNNI labels, CPU 96 and no other vendor read as expected. The third inventory equals the first. Three clauses fail, so REFUTED. | REFUTED | | H53 | Inside EAT's banking flow on the Arc Pro B70s with Qwen3.8-27B (thinking off), k3d-gpu's own GPU choice AG (OVMS int4 on one card, `agent manifest`, auto device) delivers far more B24 tasks within the 120 s turn budget than B2, "EAT PR #21 nearest profile (Qwen3.6-27B) on Qwen3.8 weights, fp16" (vLLM XPU v0.28.0, TP 4). A stack-vs-stack claim. | Written 2026-10-20, before any H53 measurement. AG >= 0.70 (0.6); B2 boots by ladder rung (b) (0.6); B2 >= 0.50 (0.5); block mean AG - B2 in [-0.15, +0.30] (0.5). INCONCLUSIVE (0.6), REFUTED (0.3), SUPPORTED (0.1). | Solo holds in the order AG, B2, B2, AG, AG, B2 (up to 8), blocks = hold pairs (2k-1, 2k), block-level inference: mean of per-block d over >= 3 counted blocks, t-interval. SUPPORTED: lower bound >= +30 points and AG >= 0.6, L3 gates passed. REFUTED: upper bound < +30 points. Else INCONCLUSIVE. `bench/eatflow/crescent/solo-hold.sh N ARM`, `agentbench solo-report --hyp H53 --arm-a AG --arm-b B2`. See [H53 pre-registration](#h53-pre-registration-eats-banking-flow-on-arc-pro-b70-2026-10-20). | PENDING | | H54a | On the Xeon 6741P, Gemma 4 26B-A4B (QAT weights) single-stream: the best optimized CPU arm, chosen by the pre-registered source and speed rule, decodes at N=1 at least 3x faster than EAT stock B1g (vLLM CPU v0.24.0 bf16, `xeon-values.yaml`'s Gemma entry on the QAT bf16 weights), with a 50-item quality spot-check no more than 10 points below B1g's. A microbench, not an agent claim. | Written 2026-10-20, before any H54 measurement. N=1 median decode tok/s: B1g in [4, 15] (0.6); Lg (llama.cpp CPU, Google QAT Q4_0) in [25, 70] (0.6); A1g (k3d-gpu auto, OVMS CPU, QAT-matched IR) in [15, 60] (0.5), A1g/A1o in [0.85, 1.02] (0.6); Vq (vLLM CPU v0.32.0 bf16) in [6, 18] (0.5), Vq-mtp/Vq in [1.4, 2.5] (0.5); Lg-mtp/Lg in [1.2, 2.2] (0.4); Sg (SGLang CPU AMX) deliverable (0.6). The chosen arm is Lg or Lg-mtp (0.55). B3g not deliverable (0.8). SUPPORTED (0.65), INCONCLUSIVE (0.25), REFUTED (0.1). Not gated: TTFT on a 1,000-token prompt, aggregate tok/s at N=4 and 16 (A1g N=16/N=1 <= 1.5, 0.5), J/token. | [H54 pre-registration](#h54-pre-registration-gemma-4-26b-a4b-qat-and-qwen38-microbenches-on-crescent-2026-10-20): `bench/llm_load.py` per arm (N=1: 8 requests, N=4: 16, N=16: 32, 256 tokens, greedy, `ignore_eos`), `bench/energy.sh` RAPL per phase, GSM8K items 0-49 graded by exact match, one arm serving at a time, at most 3 holds of at most 40 min. Statistic: ratio of the chosen arm's median N=1 decode to B1g's, 95% bootstrap CI over requests. SUPPORTED: CI lower bound >= 3.0 and the quality gate passed. REFUTED: CI upper bound < 3.0, or every arm with a point ratio >= 3.0 fails the quality gate. Otherwise INCONCLUSIVE (also: B1g not deliverable, or a void phase not re-run). Run 2026-10-21, 3 holds ([H54a run](#h54a-run-xeon-6741p-2026-10-21)): stock B1g stalled in both its holds (vLLM v0.24.0 `EngineDeadError` mid-decode, cause open; no scored phase, 0/50 GSM8K, all errored), so `h54.py score-a` has no base and no chosen arm. Measured: Lg 48.74, Lg-mtp 54.52, A1g 23.25, A1o 21.73 tok/s N=1 median, GSM8K 50, 50, 49, 49 of 50; each scored phase exists only under amendment R4 (its own foreign CPU 4.4-4.8 CPU-s/s). Vq, Vq-mtp, Vi, Sg, B3g not run (cap). Descriptive, not scored: Lg-mtp over B1g's 2 hold-2 rates 3.02 ~~(CI 2.90-3.06)~~ (descriptive only: n=2 base rates from an engine that died minutes later, no CI; correction 2026-10-28, [H54a run](#h54a-run-xeon-6741p-2026-10-21)). | INCONCLUSIVE | -| H54q | QAT matters at int4 on this model: on GSM8K items 0-199, the QAT-matched OpenVINO IR OVQ (INT4_SYM, group 32, built from Google's QAT bf16 weights) is non-inferior to the bf16 QAT reference R within 5 points, and the published base-model IR OVB (`OpenVINO/gemma-4-26b-a4b-it-int4-ov`; ~~INT4_ASYM group 128~~ AWQ INT4 asymmetric group 64, router layers unquantized, per its `openvino_config.json`: [note N1](#h54-note-n1-what-ovb-is-2026-10-21)) scores below OVQ. | Written 2026-10-20, before any measurement. R accuracy in [0.85, 0.96] (0.6). OVQ - R in [-0.03, +0.02] (0.6). GGUF Q4_0 (Lg) - R in [-0.03, +0.02] (0.6). OVB - R in [-0.07, 0] (0.5). The OVB < OVQ part resolves on 200 items (0.2). INCONCLUSIVE (0.65), SUPPORTED (0.2), REFUTED (0.15). | As H54a's quality protocol on items 0-199 of `openai/gsm8k` `main` test @ `740312ad`; items 0-49 come from H54a's runs of the same arm configs; ~~at most 1 hold of at most 40 min for the rest~~ the rest in at most 3 holds of at most 40 min, R answering all 200 items because H54a never ran its config ([amendment Q1](#h54-amendment-q1-h54qs-reference-arm-hold-cap-and-order-2026-10-29)). Paired bootstrap 95% CI over items (10,000 resamples, seed 1). SUPPORTED: CI lower bound of OVQ - R >= -0.05 and CI upper bound of OVB - OVQ < 0. REFUTED: CI upper bound of OVQ - R < -0.05, or CI lower bound of OVB - OVQ > 0. Otherwise INCONCLUSIVE. | PENDING | +| H54q | QAT matters at int4 on this model: on GSM8K items 0-199, the QAT-matched OpenVINO IR OVQ (INT4_SYM, group 32, built from Google's QAT bf16 weights) is non-inferior to the bf16 QAT reference R within 5 points, and the published base-model IR OVB (`OpenVINO/gemma-4-26b-a4b-it-int4-ov`; ~~INT4_ASYM group 128~~ AWQ INT4 asymmetric group 64, router layers unquantized, per its `openvino_config.json`: [note N1](#h54-note-n1-what-ovb-is-2026-10-21)) scores below OVQ. | Written 2026-10-20, before any measurement. R accuracy in [0.85, 0.96] (0.6). OVQ - R in [-0.03, +0.02] (0.6). GGUF Q4_0 (Lg) - R in [-0.03, +0.02] (0.6). OVB - R in [-0.07, 0] (0.5). The OVB < OVQ part resolves on 200 items (0.2). INCONCLUSIVE (0.65), SUPPORTED (0.2), REFUTED (0.15). | As H54a's quality protocol on items 0-199 of `openai/gsm8k` `main` test @ `740312ad`; items 0-49 come from H54a's runs of the same arm configs; ~~at most 1 hold of at most 40 min for the rest~~ the rest in at most 3 holds of at most 40 min, R answering all 200 items because H54a never ran its config ([amendment Q1](#h54-amendment-q1-h54qs-reference-arm-hold-cap-and-order-2026-10-29); runner: [amendment Q2](#h54-amendment-q2-h54qs-runner-2026-10-29)). Paired bootstrap 95% CI over items (10,000 resamples, seed 1). SUPPORTED: CI lower bound of OVQ - R >= -0.05 and CI upper bound of OVB - OVQ < 0. REFUTED: CI upper bound of OVQ - R < -0.05, or CI lower bound of OVB - OVQ > 0. Otherwise INCONCLUSIVE. Result ([H54q run](#h54q-run-xeon-6741p-2026-10-29)): 3 holds of the 3 permitted. R answered items 0-199, and OVQ, OVB and Lg answered items 50-199, in holds 1 and 2, with no errored item. Items 0-49 of OVQ, OVB and Lg are H54a's (Q1 item 2). Hold 3 ran only Vi, which was not deliverable (vLLM v0.32.0 could not load the AutoRound checkpoint). Correct of 200: R 194 (0.970), OVQ 191, OVB 192, Lg 193. OVQ - R -0.015 (95% CI -0.035 to 0.000): its lower bound clears -0.05. OVB - OVQ +0.005 (CI -0.015 to +0.025): its upper bound is not below 0, and its lower bound is not above 0. Neither the SUPPORTED bounds nor a REFUTED bound hold, so INCONCLUSIVE, the expected verdict (0.65). | INCONCLUSIVE | | H54b | On Arc Pro B70 with Qwen3.8-27B single-stream: the best optimized arm on ONE card (k3d-gpu auto OVMS int4, Intel's llm-scaler vLLM, or llama.cpp SYCL, with and without each one's documented MTP) decodes at N=1 at least 2x faster than EAT #21's XPU path B2q on TWO cards (vLLM XPU v0.28.0, the `xpu-qwen36-27b` profile's flags on the Qwen3.8-27B weights, TP 2). | Written 2026-10-20, before any measurement. N=1 median decode tok/s: X1q (OVMS GPU int4) in [15, 28] (0.5), X1q-mtp/X1q in [1.3, 2.2] (0.4); Sq (llm-scaler 1.5, online FP8, TP 1) deliverable (0.5), in [10, 18]; Sq-mtp/Sq in [1.4, 2.3] (0.5); Lsq (llama.cpp SYCL, Intel Q4_K_M) in [12, 24] (0.5); B2q deliverable at TP 2 (0.4), in [5, 12] (0.5). Chosen/B2q >= 2 (0.6). Cards free for a window (0.5). INCONCLUSIVE (0.6), SUPPORTED (0.3), REFUTED (0.1). | H54a's protocol on the B70s, cards only when `~/k3dgpu-bench/gpu-state.txt` lists them free; at most 2 holds of at most 40 min. Same statistic and quality gate (against B2q, or the official-weights arm Sq when B2q is not deliverable, for the gate only). SUPPORTED: CI lower bound of chosen one-card arm / B2q >= 2.0 and the gate passed. REFUTED: CI upper bound < 2.0. Otherwise INCONCLUSIVE (also: B2q not deliverable, or no free card before the campaign ends). Gemma 4 QAT on one B70 (X1g, X1o, B2g, Sgg) is described if hold time remains, never gated. Run 2026-10-21, 2 holds ([H54b and H54c run](#h54b-and-h54c-run-arc-pro-b70-2026-10-21)): INCONCLUSIVE, not delivered as pre-registered: the pinned "one card" pods saw all 4 cards. B2q, Sq, Sq-mtp (Qwen bf16, 80.6 GB with its guard) and Rq were not deliverable (disk); X1q and X1q-mtp failed on two `h54b.sh` runner bugs before any engine started; Lsq ran, but its pod listed every render node and llama.cpp split the model over all four B70s, two of them serving the live `qwen38-a-hr`, so no one-card arm exists. Lsq-mtp was not run: its GGUF carries the MTP (`nextn`) tensors, but G1's runner has no such arm; nor were the described-only Gemma arms. `score.py`: "no gate reference (B2q and Sq missing)". Descriptive only, a 4-card run and not a one-card or B70 result: Lsq 27.3 tok/s N=1 median, GSM8K 48/50. | INCONCLUSIVE | | H54c | Hybrid placement ("use the fast DRAM"): llama.cpp with Gemma 4 26B-A4B QAT Q4_0, routed experts on the Xeon and everything else on one B70 (Hg, `-ngl 99 -ot exps=CPU`), decodes at N=1 within 25% of a pre-stated byte-split model built from the same image's full-CPU (Cg) and full-GPU (Gg) runs. Qwen3.8-Flash-Next falls back to Gemma 4 QAT (reasons in the pre-registration). | Written 2026-10-20, before any measurement. Model: t_Hg = t_Cg x (B_exp / B_tot) + t_Gg x (B_rest / B_tot) + 60 x 30 us, bytes from the GGUF tensor table. Within 25% (0.45). Hg < Gg (0.8). Hg / Cg in [0.8, 1.6] (0.5). Gg in [30, 90] tok/s (0.4). SUPPORTED (0.45), INCONCLUSIVE (0.3), REFUTED (0.25). | One hold of at most 40 min on one free card: Cg, Gg, Hg in that order, then Gg again (drift check), all in `ghcr.io/ggml-org/llama.cpp:server-intel-b11749`, H54a's N=1 phase only. SUPPORTED: abs(Hg measured / predicted - 1) <= 0.25. REFUTED: > 0.40. Otherwise INCONCLUSIVE (also: any of the three arms not delivered, or the two Gg runs differ by > 10%). Run 2026-10-21, 1 hold ([H54b and H54c run](#h54b-and-h54c-run-arc-pro-b70-2026-10-21)): INCONCLUSIVE, not delivered as pre-registered: the pinned "one card" pods saw all 4 cards. Gg, Hg and Gg2 split their GPU layers over four B70s (two serving the live `qwen38-a-hr`), and Cg (`-ngl 0`) also allocated about 0.5 GB on one of those cards, so t_Cg and the prediction are confounded. The verdict does not come from `predict.py`'s band test, whose inputs are these 4-card and confounded runs. Descriptive only, not one-card or hybrid results: Cg 36.8, Gg 58.0, Hg 56.3, Gg2 57.4 tok/s N=1 median. | INCONCLUSIVE | | H54d | Inside EAT's banking flow with Gemma 4 26B-A4B (QAT), the best H54a CPU arm A* delivers far more B24 tasks within budget than EAT stock B1g, under H50's design, statistic, gates and thresholds (rule L2, amendment C1). Runs only when A* is not H50's A1 config. | Written 2026-10-20, before any measurement. A* within-budget success >= 0.60 (0.55). B1g >= 0.50 (0.6). Paired A* - B1g in [-0.10, +0.30] (0.6). A* serves B24's tool calls without a parser change (0.6). Fewer than 16 matched pairs in 3 holds (0.5). REFUTED (0.4), INCONCLUSIVE (0.5), SUPPORTED (0.1). | H50's procedure with arm A = A*, arm B = B1g; at most 3 holds of at most 40 min, until 24 pairs. SUPPORTED: paired difference CI lower bound >= +30 points and A* >= 0.6, L2, void and idle-arm checks passed. REFUTED: CI upper bound < +30 points. Otherwise INCONCLUSIVE. Not run (and so recorded) when A* is H50's A1 config: H50 answers it. Not run 2026-10-21, no hold used ([H54d: not run](#h54d-not-run-2026-10-21)): A* is undefined (H54a chose no arm), B1g stalled in both H54a holds, and H54q has not run; the caps rule makes a row with its stock or chosen arm missing INCONCLUSIVE. | INCONCLUSIVE | @@ -81,8 +81,8 @@ setup too weak to decide). Only `SUPPORTED` backs a claim. | H57da | On an AMX-less client CPU (i9-13900T, the 16 P-core CPUs, AVX2 and VNNI, no AVX-512), with the Gemma 4 26B-A4B QAT family, k3d-gpu's own CPU pick Od (`agent manifest` auto on the P-cores: OVMS 2026.4.1, `OpenVINO/gemma-4-26b-a4b-it-int4-ov`) is the fastest single-stream arm: no other arm passing the quality gate (llama.cpp with Google's QAT Q4_0 GGUF, with or without the QAT MTP drafter) decodes at N=1 5% or more faster. A microbench, not an agent claim. | Written 2026-10-20, before any H57d measurement. N=1 median decode tok/s: Od in [8, 20] (0.5); Ld (llama.cpp Q4_0, 8 threads) in [12, 30] (0.5); Ld/Od in [1.1, 1.8] (0.5); every arm's GSM8K 0-49 score >= 0.80 (0.6). REFUTED (0.55), SUPPORTED (0.25), INCONCLUSIVE (0.2). Not gated: TTFT on a 1,000-token prompt, aggregate tok/s at N=4, package J/token gross and net of idle. | [H57d pre-registration](#h57d-pre-registration-gemma-4-26b-a4b-qat-on-the-amx-less-client-cpu-i9-13900t-2026-10-20): H54's measurement protocol per arm (`bench/llm_load.py`, 256 tokens, greedy, `ignore_eos`; RAPL per phase; GSM8K items 0-49 graded as H54), one arm serving at a time, arm order rotated over 3 performance holds, quality in a 4th, at most 5 holds of at most 45 min. Statistic: R = median N=1 decode of the fastest other gate-passing arm X / Od's, over the pooled requests of the 3 holds, 95% bootstrap CI (H54's). REFUTED: Od fails the quality gate, or CI lower bound >= 1.05 and X faster than Od in each of the 3 holds. SUPPORTED: Od passes the gate and CI upper bound < 1.05. INCONCLUSIVE otherwise, or when Od or every other arm is not delivered, or the load gate fails. Run 2026-10-21 ([H57d run](#h57d-run-i9-13900t-2026-10-21)): Ld-mtp/Od 0.785 (95% CI 0.692-1.561), per hold 0.72, 0.79, 1.44; Od 6.90, Ld 3.50, Ld-mtp 5.41 tok/s pooled N=1; all 50/50 on GSM8K; load matched (1.80 <= 2.0). The strict-pinned llama.cpp arms tracked host load 2.3-2.7x, Od 1.3x. | INCONCLUSIVE | | H57dm | On the same client and model, the CPU Fast Draft rule extends to Gemma 4's MTP drafter: llama.cpp Ld-mtp (Ld plus Google's QAT MTP assistant, converted to Q4_0 GGUF here, `--spec-type draft-mtp`, default draft length) decodes at N=1 at least 1.20x Ld (H34's bar) with the quality gate passed. | Written 2026-10-20, before any H57d measurement. Ld-mtp/Ld in [0.8, 1.3] (0.6): Google's MTP note says the 26B A4B drafter may not pay at batch 1, and llama.cpp's MTP PR saw no MoE gain. REFUTED (0.65), INCONCLUSIVE (0.15), SUPPORTED (0.2). Not gated: the N=4 ratio and the J/token ratio. | As H57da (same holds and records). Statistic: Rm = median N=1 decode Ld-mtp / Ld, pooled, H54's bootstrap CI. SUPPORTED: Rm >= 1.20, CI lower bound > 1.0, Ld-mtp faster in each of the 3 holds, and Ld-mtp passes the gate. REFUTED: CI upper bound < 1.20, or Ld-mtp fails the gate. INCONCLUSIVE otherwise, or when either arm is not delivered or the load gate fails. Run 2026-10-21 ([H57d run](#h57d-run-i9-13900t-2026-10-21)): Ld-mtp/Ld 1.548 (95% CI 1.057-3.017), faster in each hold (1.47, 1.58, 1.52), 50/50 quality. Scope: llama.cpp b11749, default draft length 3, i9-13900T P-cores, single stream, busy shared host. | SUPPORTED | | H57db | Inside EAT's banking flow (B24) with Gemma 4 26B-A4B QAT on the i9-13900T, k3d-gpu auto on the P-cores delivers far more tasks within budget than EAT stock CPU (vLLM CPU bf16 on the QAT bf16 weights, `xeon-values.yaml` entry `cpu-gemma4-26b-a4b`), interleaved pairs under rule L3. | Written 2026-10-20: not runnable here as registered (memory), so INCONCLUSIVE (not run) is expected (0.9). | [H57d pre-registration](#h57d-pre-registration-gemma-4-26b-a4b-qat-on-the-amx-less-client-cpu-i9-13900t-2026-10-20), H57db: runs only if the memory gate passes at a hold's start (MemAvailable >= 100 GiB: 51.6 GB of bf16 weights resident plus `VLLM_CPU_KVCACHE_SPACE` 40 GiB), with H50's procedure, rule L3 (PR #157) and at most 1 hold, where fewer than 16 complete pairs read INCONCLUSIVE by L3; otherwise INCONCLUSIVE (not run), with the reading recorded. Not run ([H57d run](#h57d-run-i9-13900t-2026-10-21)): memory gate failed, MemAvailable 42.9 GB at the campaign's start (< 100 GiB). | INCONCLUSIVE | -| H57dp | On the i9-13900T P-cores under the shared host's own load, llama.cpp with Gemma 4 QAT Q4_0 and the QAT MTP drafter decodes faster unpinned (8 threads, no `-C`/`--cpu-strict`) than strictly pinned one thread per physical P-core: N=1 ratio >= 1.10. | Written 2026-10-21, after H57d, before any H57dp measurement. SUPPORTED (0.5); Ld-mtp-u/Ld-mtp in [1.0, 1.8] (0.6). | [H57dp pre-registration](#h57dp-pre-registration-llamacpp-thread-pinning-on-the-busy-client-i9-13900t-2026-10-21): 2 holds of at most 75 min, H57d's protocol. SUPPORTED: pooled median ratio >= 1.10, CI lower bound > 1.0, faster in both holds. REFUTED: CI upper bound < 1.10. Else INCONCLUSIVE, or when the load gate fails. | PENDING | -| H57de | H57da with the unpinned llama.cpp arm: no arm decodes Gemma 4 QAT at N=1 5% or more faster than k3d-gpu's OVMS pick Od on the i9-13900T P-cores. | Written 2026-10-21, before any H57de measurement. REFUTED (0.5); Ld-mtp-u/Od in [1.0, 1.6] (0.5). | [H57dp pre-registration](#h57dp-pre-registration-llamacpp-thread-pinning-on-the-busy-client-i9-13900t-2026-10-21): same holds as H57dp. REFUTED: Ld-mtp-u/Od CI lower bound >= 1.05 and faster in both holds. SUPPORTED: CI upper bound < 1.05. Else INCONCLUSIVE, or when the load gate fails. | PENDING | +| H57dp | On the i9-13900T P-cores under the shared host's own load, llama.cpp with Gemma 4 QAT Q4_0 and the QAT MTP drafter decodes faster unpinned (8 threads, no `-C`/`--cpu-strict`) than strictly pinned one thread per physical P-core: N=1 ratio >= 1.10. | Written 2026-10-21, after H57d, before any H57dp measurement. SUPPORTED (0.5); Ld-mtp-u/Ld-mtp in [1.0, 1.8] (0.6). | [H57dp pre-registration](#h57dp-pre-registration-llamacpp-thread-pinning-on-the-busy-client-i9-13900t-2026-10-21): 2 holds of at most 75 min, H57d's protocol. SUPPORTED: pooled median ratio >= 1.10, CI lower bound > 1.0, faster in both holds. REFUTED: CI upper bound < 1.10. Else INCONCLUSIVE, or when the load gate fails. Run 2026-10-29 ([H57dp run](#h57dp-run-i9-13900t-2026-10-29)): load unmatched, foreign P-core load spread 2.97 > 2.0 CPU-s/s (Od 0.45, Ld-mtp 3.42, Ld-mtp-u 3.11), so the scorer stops before the statistic. Not gated: Ld-mtp-u/Ld-mtp 1.108 (95% CI 1.072-1.142), faster in both holds (1.108, 1.100); Ld-mtp-u 13.39, Ld-mtp 12.09 tok/s pooled N=1; affinity as registered. | INCONCLUSIVE | +| H57de | H57da with the unpinned llama.cpp arm: no arm decodes Gemma 4 QAT at N=1 5% or more faster than k3d-gpu's OVMS pick Od on the i9-13900T P-cores. | Written 2026-10-21, before any H57de measurement. REFUTED (0.5); Ld-mtp-u/Od in [1.0, 1.6] (0.5). | [H57dp pre-registration](#h57dp-pre-registration-llamacpp-thread-pinning-on-the-busy-client-i9-13900t-2026-10-21): same holds as H57dp. REFUTED: Ld-mtp-u/Od CI lower bound >= 1.05 and faster in both holds. SUPPORTED: CI upper bound < 1.05. Else INCONCLUSIVE, or when the load gate fails. Run 2026-10-29 ([H57dp run](#h57dp-run-i9-13900t-2026-10-29)): load unmatched (the same gate, spread 2.97 > 2.0). Od also ran without the P-core balloon (cpuset 0-15,17-31: the runner's `agent manifest` call named no cluster, so after #183 it missed the hold's kube context), so it was not the registered Od. Not gated: Ld-mtp-u/Od 1.369 (1.345-1.396), Od 9.78 tok/s pooled N=1. | INCONCLUSIVE | | H52w | A plain `k3d-gpu up` on wildct, a client Raptor Lake host (i7-13700, 8 P-cores + 8 E-cores, AVX2 and AVX-VNNI, no AVX-512, no AMX, one NUMA node), with only the box owner's GPU opt-out (`K3D_GPU_VENDORS=auto,-nvidia,-intel`), detects every CPU engine actually present and advertises each usable one, with nothing missing and nothing phantom; the two NVIDIA cards and the Intel iGPU are named as detected and opted out, and nothing in the cluster mounts or advertises a GPU. | Written 2026-10-20 from an inventory read from sysfs, /proc and PCI sysfs, not from k3d-gpu. Hybrid active, balloons policy running, the P-core test pod inside CPUs 0-15 and the E-core one inside 16-23 (0.8); launcher ISA labels exactly AVXVNNI, VAES, GFNI, SHA, CETIBT, CETSS, and no AVX512 or AMX label from any source (0.85); no NUMA, DSA, IAA, QAT, NPU or Gaudi object (0.9); `up` names nvidia and intel as opted out, no GPU resource, no GPU plugin pod, no pod mounting `/dev/dri` or `/dev/nvidia*` (0.85, given the opt-out fix). SUPPORTED (0.6), REFUTED (0.4). | The table in [the wildct pre-registration](#wildct-pre-registration-client-raptor-lake-i7-13700-2026-10-20): `bench/wildct/h52w.sh` under `bench/wildct/hold.sh` (inventory, `detect` as found, `doctor`, `up`, node object, pod GPU scan, `k3d-gpu test`, `down`, inventory again), the installed release. SUPPORTED: every row matches. REFUTED: any row does not. | PENDING | | H18w | H18's hypothesis on wildct: `k3d-gpu sandbox up` keeps agent sandboxes on the E-cores and inside a default-deny egress policy on k3d (kube-router), while public egress (PyPI) still works. A replication: H18's runner, image source (the release node image) and parts (a), (b), (c). | Written 2026-10-20, before any H18w measurement. Every run meets (a), (b) and (c) (0.8): sandbox `Cpus_allowed_list` inside 16-23; TCP to `100.66.38.121:22` (tailscale CGNAT) and `192.168.8.238:22` (host LAN) refused from the sandbox with the drop-log counter > 0, connected from the control pod; `pip install --user tomli_w==1.2.0` exits 0. | H18's `bench/sandbox_round.sh`, n = 3 runs in one hold, unchanged except as listed in [the wildct pre-registration](#wildct-pre-registration-client-raptor-lake-i7-13700-2026-10-20): cluster `k3dgpu-w-sbx`, the GPU opt-out, rule W3, the release node image, RAPL through rule W4. Outcome table: H18's. | PENDING | | H25w | H25's hypothesis (T part) on wildct: agents that send a byte-identical system prompt and tools to one OVMS CPU server reuse one prefix KV, so an added agent's first chunk arrives at least 4x sooner with the shipping prefix caching on than with `--enable_prefix_caching=false`. A replication: original model, prefix shape, probe, scorer and thresholds. | Written 2026-10-20, before any H25w measurement. Added-agent median TTFT OFF 10 s (7-15), ON 1.0 s (0.6-1.6), ratio 10x (6-14), CI lower bound >= 4x; c/OFF >= 0.8. SUPPORTED 0.8. | H25's `bench/shared-prefix/run.sh` and `probe.py score` (A3 first-chunk TTFT, A4 amendment-27 load rule), ON OFF interleaved 3+3 rounds at `typical`, unchanged except as listed in the wildct pre-registration: cluster `k3dgpu-w-h25`, the GPU opt-out, rule W2 (load on E-cores 20-23 only), W3, W4, new seeds (`SEED_BASE=2560`). | PENDING | @@ -93,6 +93,8 @@ setup too weak to decide). Only `SUPPORTED` backs a claim. | H57wb | H57db's hypothesis on wildct: inside EAT's banking flow (B24) with Gemma 4 26B-A4B QAT, k3d-gpu auto on the P-cores delivers far more tasks within budget than EAT stock CPU (vLLM CPU bf16 on the QAT bf16 weights). | Written 2026-10-20: not runnable here as registered (disk and memory), so INCONCLUSIVE (not run) is expected (0.95). | H57db's design and gates; runs only if at a hold's start / has >= 15 + 70 GB available (51.6 GB of bf16 weights plus images) and MemAvailable >= 100 GiB; otherwise INCONCLUSIVE (not run), with both readings recorded and no bf16 download. | PENDING | | F2a | Open WebUI in a k3d-gpu cluster reaches a public remote endpoint by name: `k3d-gpu quickstart --remote https://gaudi.farmgpu.net` (no hostAliases) gives a chat through Open WebUI's own API that returns. An earlier run saw `Temporary failure in name resolution` for gaudi.farmgpu.net from a pod. | Pre-registered 2026-10-17, before measuring: the in-cluster failure is a cluster DNS gap (CoreDNS forwarding to an upstream the node container cannot use), not the endpoint; once fixed, one `POST /api/chat/completions` returns `finish_reason=stop` with non-empty content (0.7). | Fresh cluster `k3dgpu-f2-*` (scratch KUBECONFIG, node CPUs 8-15), `nslookup` from a pod before any change, CoreDNS Corefile and node `/etc/resolv.conf` read; root cause fixed in the product if it is a k3d-gpu config gap (regression test first); then one chat through Open WebUI's API with the generated admin account, max_tokens <= 64, temperature 0.6. SUPPORTED: chat returns. REFUTED: no chat returns after the fix. Run (2026-10-17, i9-13900T, k3s v1.35.5, node CPUs 8-15): the prediction's mechanism was wrong. CoreDNS forwarding works (node resolv.conf is k3d's 192.168.32.1 DNAT to Docker's 127.0.0.11; busybox and glibc lookups from pods resolve). The failure is a startup race: `k3d-gpu up` returned on node Ready, when the CoreDNS Deployment was 1 s old (image still pulling); a glibc pod started then got `gaierror(-3, 'Temporary failure in name resolution')` for 11 s (4 tries), first success at 13 s. Fix: `up` waits for the CoreDNS rollout; after it, the same pod resolved on its first try (0.0 s). Then `quickstart --remote https://gaudi.farmgpu.net` with no hostAliases: Open WebUI listed `zai-org/GLM-5.3` and one `POST /api/chat/completions` returned finish_reason=stop, content 'OK', 0.41 s; 0 name resolution errors in its log. | SUPPORTED | | F2b | EAT's LiteLLM gateway serves the remote model registered by `integrations/eat/eat-remote.sh`, with the key only as an env reference. | Pre-registered 2026-10-17, before measuring: one completion through LiteLLM returns (0.7); the key string appears 0 times in the gateway DB dump, `kubectl describe` of the gateway Deployment/pods/Secret, and events (0.9). | `eat-remote.sh --remote https://gaudi.farmgpu.net --model zai-org/GLM-5.3` against EAT's genai-gateway in the same cluster, then one chat through LiteLLM (max_tokens <= 64, temperature 0.6), then `grep -c` of the key over `pg_dump`, `kubectl describe` and `kubectl get events -A`. SUPPORTED: completion returns and 0 key hits. REFUTED: any key hit, or no completion. Run (2026-10-17, same host, EAT release-1.0.3-hotfix, LiteLLM v1.83.14-stable.patch.2): first with eat-remote.sh as shipped, REFUTED: the chat came back 401 from the endpoint. LiteLLM resolves `os.environ/` only for config-file models; a `/model/new` model is loaded from its database with the reference string as the api_key (proxy_server.py `_add_deployment` decrypts only). Fixed eat-remote.sh to write a config-file `model_list` entry instead and delete the stale database entry; rerun: `eat-check.sh` passed (chat, tool call get_weather, sandbox printed 385), and the key (raw and base64) had 0 hits in `pg_dumpall` of the gateway's Postgres (169 KB), `kubectl describe` of the gateway namespace's Deployments, pods, Secrets and ConfigMaps, the Deployment YAML and `kubectl get events -A`. The verdict is for the fixed script. | SUPPORTED | +| F4 | `integrations/eat/eat-up.sh` on EAT `release-1.1.0` (`0c726f5`) runs on a single non-Xeon machine: H1b's user path, unchanged except that `eat-up.sh` now deploys `release-1.1.0` (guardrail, vLLM Semantic Router, OpenShell, Kata, Ceph and rack-scale explicitly off; vLLM CPU `v0.28.0` by digest). Functional, n = 1, not a performance row. | Pre-registered 2026-10-29, before any F4 step. SUPPORTED (0.6): steps 1-4 exit 0 and `eat-check.sh` passes. The risks, read from source and not run: the GenAI Gateway's new hybrid-router callback, loaded into LiteLLM `v1.83.14-stable.patch.2` from a ConfigMap, fails to import and the gateway never turns Ready (0.15); vLLM CPU `v0.28.0` on this AVX2-only CPU does not load or answer Qwen3-1.7B inside the wait (0.15); anything else (0.1). | i9-13900T, one fresh cluster `k3dgpu-f4-eat`, scratch `KUBECONFIG`, empty `EAT_WORK`, the README's user path run once, each step timed: (1) `k3d-gpu up` with the README's EAT env; (2) `eat-up.sh`; (3) `eat-up.sh model cpu-qwen3-1-7b`; (4) `kubectl wait --for=condition=Ready pod -A --field-selector=status.phase!=Succeeded --timeout=30m`; (5) `eat-check.sh`; (6) `k3d-gpu down`. SUPPORTED only if steps 1-4 exit 0 and step 5 prints `EAT check passed` (non-empty chat, a `get_weather` tool call, sandbox stdout exactly `385`) with no Xeon-only instruction or node label needed. REFUTED by any of steps 1-3 or 5 failing, or by step 4 ending non-zero with a Deployment, StatefulSet, DaemonSet, ReplicaSet or Sandbox pod not Ready. Grading, lock and the INCONCLUSIVE cases in [F4 pre-registration](#f4-pre-registration-i9-13900t-2026-10-29). Until this row is SUPPORTED no doc says the `release-1.1.0` path is verified. | PENDING | +| F3 | `k3d-gpu eas up --agent-toolkit` takes a fresh, default k3d-gpu cluster on one non-Xeon host to Intel EAS's platform, inference and agent-toolkit (EAT 2.0) layers at the pinned upstream commits with no hand edits, and its own check and teardown work. | Pre-registered 2026-10-29, before any F3 step ([F3 pre-registration](#f3-pre-registration-i9-13900t-2026-10-29)): on the i9-13900T at the `main` profile pins (EAS `97f6157`, enterprise-inference `3e8a244`, EAT `release-2.0.0` `036b662`), `eas up` exits 0 with every PLAY RECAP `failed=0`; its choices and patch decisions equal the pre-registered table (`istio_platform: k3d`, MetalLB off, `best-effort`, NFD off, `require_amx: false`, k3s CIDRs, Kata off, accelerator `cpu`, agent sandbox on; 0002 and 0006 variant a applied, 0003, 0004 and 0005 skipped) and the model pick follows the fit rule; every pod not in phase Succeeded turns Ready; `eas check` passes through the EAS gateway; no secret value appears in a log or in sampled argv; `eas down` exits 0 within 15 min (0.35). | One fresh cluster `k3dgpu-f3-eas` from plain `k3d-gpu up`, then `eas up --agent-toolkit --dry-run`, `eas up --agent-toolkit`, a Ready wait, `eas check`, `eas status`, a secret scan, `eas down` and `k3d-gpu down`, each once, inside the host lock, from the first `main` commit that holds `k3d-gpu eas`. SUPPORTED, REFUTED and INCONCLUSIVE are fixed in the section. | PENDING | | H27x | H27's hypothesis on an AMX host (H27's "re-open for an AMX host"): on the Xeon 6741P (Granite Rapids, AMX), the <=60 s on-box probe (`bench/amx-autoquant/probe.sh`) picks the weight precision for agents better than the static int4 default. Same weights (`OpenVINO/Qwen3-4B-{int4,int8,fp16}-ov` at H27's commits), same parts (a) fidelity, (b) value, (c) cost. A replication: the original model is kept. | Written 2026-10-20, before any H27x measurement. (a) holds (0.85). (b) REFUTED (0.65, outcomes O1 + O2): the quality gate is a property of the weights (NLL at `INFERENCE_PRECISION_HINT=f32`), so int4 fails it again and the pick is int8, and decode stays bandwidth-bound, so int8 stays slower than int4 on the turn (outcome O2 again). (c) holds (0.9). Numbers: decode int4 25-45, int8 18-35, fp16 (bf16 on AMX) 10-22 tok/s; TTFT on 396 tokens 0.15-1.0 s for every arm; turn int4 2-4.5 s, int8 2.5-6 s, fp16 4-9 s. Priors: O1 0.05, O2 0.6, O3 0.05, O4 (int8 beats int4) 0.15, O5 0.15. | H27's row, outcome table and amendments A1-A3, unchanged except as listed in [the cross-host pre-registration](#cross-host-pre-registration-h25x-h27x-h28x-h34x-on-the-xeon-6741p-2026-10-20): OVMS containers on CPUs 0-23,48-71 (the CPUs outside `load.py`'s load set), `typical` only, weights downloaded at H27's pinned commits. Scorer `bench/amx-autoquant/summarize.py`. Run 2026-10-20 ([H27x run](#h27x-run-xeon-6741p-2026-10-20)): load MATCHED, int4 failed the gate again (dNLL +0.072), the probe and the reference both picked fp16 (bf16 on AMX; 5/5 rounds over int8, 3/3 repeats, 4 s per probe), and fp16's 4.23 s median turn is 1.24 s slower than the int4 default's 2.99 s (int4 faster in 5/5 rounds): (a) and (c) hold, (b) fails. | REFUTED | | H34x | H34's hypothesis on the Xeon 6741P: same-engine CPU Fast Draft (OVMS 2026.4.1, `OpenVINO/Qwen3-0.6B-int4-ov` draft on the CPU) beats the `OpenVINO/Qwen3-4B-int4-ov` target alone on single-stream decode, under matched background load. A replication: the original models are kept. | Written 2026-10-20, before any H34x measurement. At `typical`: median paired B/A decode tok/s 1.40 (1.15-1.70) and median paired B/A package J/token 0.75 (0.60-0.95); SUPPORTED by H34's rule (tok/s >= 1.20 with its CI above 1.0, J/token <= 0.85 with its CI below 1.0) at 0.6, REFUTED 0.25 (the draft's share of a faster target step grows), INCONCLUSIVE 0.15. | H34's `bench/hetero-spec/h34.sh` and `h34.py`, n = 12 pairs A B / B A, 5 s load window per request, unchanged except as listed in the cross-host pre-registration: cluster `k3dgpu-x-h34`, `K3D_GPU_VENDORS=none`, node container on CPUs 0-23,48-71, crescent amendment C1, `typical` only. Run 2026-10-20 ([H34x run](#h34x-run-xeon-6741p-2026-10-20)): load MATCHED, 12/12 pairs; B/A decode tok/s 0.758 (CI 0.688-0.809) and package J/token 1.241 (CI 1.168-1.347), B slower and costlier in 12/12 pairs (A 37.2, B 28.0 tok/s): the draft slows decode on this Xeon. | REFUTED | | H25x | H25's hypothesis (T part) on the Xeon 6741P: agents that send a byte-identical system prompt and tools to one OVMS CPU server reuse one prefix KV, so an added agent's first chunk arrives at least 4x sooner with the shipping prefix caching on than with `--enable_prefix_caching=false`. A replication: the original model and prefix shape are kept. | Written 2026-10-20, before any H25x measurement. Added-agent median TTFT OFF 1.2 s (0.5-2.5), ON 0.15 s (0.06-0.4), ratio 8x (4.5-14), the ratio's 95% CI lower bound >= 4x; c/OFF >= 0.8. SUPPORTED 0.75; the risk is fixed per-request overhead, which a 5-10x faster prefill leaves as a larger share of the ON time. M (memory per agent) not measured, as in H25 run 4. | H25's `bench/shared-prefix/run.sh` and `probe.py score` (A3 first-chunk TTFT, A4 amendment-27 load rule), ON OFF interleaved 3+3 rounds, unchanged except as listed in the cross-host pre-registration: cluster `k3dgpu-x-h25`, `K3D_GPU_VENDORS=none`, node container on CPUs 0-23,48-71 (`NODE_CPUS`), crescent amendment C1, `typical` only. Run 2026-10-21 ([H25x run](#h25x-run-xeon-6741p-2026-10-21)): load MATCHED (amendment 27), no round void; added agent's first chunk 0.245 s ON vs 1.724 s OFF (7.05x, CI 6.94-7.13, n = 15 per arm), c/OFF 0.99, every round pair >= 4x: T SUPPORTED; M not measured (A3). | SUPPORTED | @@ -112,6 +114,7 @@ new evidence (new hardware, new driver, new model, changed method). | Date | Hypothesis | Attack | Result | DO-NOT-RE-ATTACK | |------|------------|--------|--------|------------------| +| 2026-10-29 | H54q | Xeon 6741P: `bench/h54/qcampaign.sh` (amendment Q2), GSM8K items 0-199 through R (vLLM CPU v0.32.0, QAT bf16), OVQ, OVB and Lg (H54a's manifests, items 0-49 from H54a's records) and the probe-first Vi, after a discarded wiring smoke; 3 holds of 3 ([H54q run](#h54q-run-xeon-6741p-2026-10-29)) | INCONCLUSIVE: OVQ - R -0.015 (CI -0.035 to 0.000) stays inside the 5-point margin, but OVB - OVQ +0.005 (CI -0.015 to +0.025) is not below 0. R 194/200, OVQ 191, OVB 192, Lg 193. Vi not deliverable (vLLM v0.32.0 cannot load the AutoRound MoE checkpoint) | DO-NOT-RE-ATTACK on GSM8K items 0-199 with these builds: all four sit at 95.5-97%, too near the ceiling to separate OVB from OVQ. Re-open only with a harder or larger pre-registered item set, another OVB build, or other engine pins | | 2026-10-29 | H50o | Xeon 6741P: `bench/eatflow/crescent/pairs-hold.sh H50o 1`, A1 against B3 (EAT's OVMS chart, OVMS 2025.4, `OpenVINO/gemma-4-26b-a4b-it-int4-ov` @ `4e5885c3`), after a discarded wiring smoke; then B3's server in a plain container as an unscored control ([H50o run](#h50o-run-xeon-6741p-2026-10-29)) | INCONCLUSIVE (not deliverable): A1 was ready; B3's pull matched the Hub, but its server failed on all 14 starts (5 in the smoke, 7 in hold 1, 2 outside k3d with and without the chart's limits); the 5 exits recorded are 139 (SIGSEGV), and the 5 logs recorded end at the same line, a second into loading the model. No pair ran | DO-NOT-RE-ATTACK with OVMS 2025.4. A re-attack needs an EAT OVMS chart whose pinned server loads Gemma 4 | | 2026-10-21 | H25x | Xeon 6741P: `bench/shared-prefix/run.sh`, OVMS agent pod on node CPUs 0-23,48-71 under matched `typical` load on 24-47,72-95, 3+3 rounds ([H25x run](#h25x-run-xeon-6741p-2026-10-21)) | SUPPORTED (T), load matched: 7.05x (CI 6.94-7.13), smaller than the i9's 10.61x because the Xeon's OFF prefill is faster | DO-NOT-RE-ATTACK T for this prompt shape on this host | | 2026-10-20 | H34x | Xeon 6741P: `bench/hetero-spec/h34.sh`, OVMS pod on node CPUs 0-23,48-71 under matched `typical` load on 24-47,72-95, 12 pairs A B / B A ([H34x run](#h34x-run-xeon-6741p-2026-10-20)) | REFUTED, load matched: B/A tok/s 0.758 (CI 0.688-0.809), J/token 1.241 (1.168-1.347), 12/12 pairs B worse; target alone 37.2 tok/s, with the draft 28.0 | DO-NOT-RE-ATTACK same-engine CPU Fast Draft (0.6B draft, gamma 5, OVMS 2026.4.1) for this target on a Xeon with this many cores. Re-open with another gamma, draft or OVMS release | @@ -4868,6 +4871,117 @@ regression tests, merged before its first hold. fix, so the v0.24.0 stall of H54 note N2 (PR #209) is not expected in R. The image is not on crescent; the hold's cluster pulls it, as for every H54 arm. +### H54 amendment Q2: H54q's runner (2026-10-29) + +Recorded 2026-10-29, before any H54q hold or smoke. This is the runner amendment +[amendment Q1](#h54-amendment-q1-h54qs-reference-arm-hold-cap-and-order-2026-10-29) asks for. +Mechanics only. Q1's arms, models, item set, prompt, grader, statistic, thresholds, cap, order and +predictions do not change. + +**Files.** `bench/h54/h54.py` gains the `q-*` commands and `score-q`. `arm.sh` gains an item mode, +which `hold.sh` turns on for row `q` and its smoke row `smokeq`. `reproduce.sh` adds the sha256 of +each H54q manifest. `qcampaign.sh` runs the holds. `q-smoke.jsonl` holds the smoke's two +non-GSM8K questions. `test_h54.py` covers it all and already runs in CI. + +**Configs.** + +- OVQ, OVB and Lg apply the manifests H54a's scored runs applied, byte for byte: + `results/2026-10-21/H54a/hold3/A1g/deploy.yaml`, `hold3/A1o/deploy.yaml` and + `hold2/Lg/deploy.yaml`. + - These are not rendered again because `agent manifest` sizes OVMS from the host's memory at + render time. A1o's `--max_num_seqs=55`, `--cache_size=285` and 333Gi limit came from + crescent on 2026-10-21. A render on another day can write other values, and Q1 asks for the + same configs. + - Rendered on 2026-10-29 away from crescent, A1g's manifest was unchanged and A1o's was not. +- R and Vi run `derive_vllm`, unchanged since R2, on H54a's recorded B1g render + (`hold2/B1g/deploy.yaml`, equal to hold 1's). That is the transform `arm.sh` applies to a fresh + B1g render, without running EAT's chart through helm again. + - R's manifest is byte-identical to the Vq manifest that H54a's second wiring smoke booted on + 2026-10-21 (ready in 114 s). +- The cluster is H54a's: `hold-run.sh` is unchanged, with the 0.1.63 node image, AMX only, C1's + kubelet thresholds and the shim's model volume. The tools are the H54a runner's + (`~/k3dgpu-gemma/h54a/bin`, `~/k3dgpu-gemma/bin`: k3d v5.9.0 behind the shim, kubectl v1.35.2). + No arm is rendered with helm. + +**One arm's turn in a hold (`arm.sh` with `H54Q`).** + +- Times: + - The item stop is 90 s before the hold's arm deadline (2,370 s after the hold starts). + - An arm starts only with at least 300 s before the item stop. Otherwise it is not reached in + that hold. + - Readiness is the model list and a 16-token chat, polled every 10 s up to the arm's limit + (1,500 s for R, 900 s for the others), cut 60 s before the item stop. Past the limit the arm + is not deliverable, or not reached when the cut ended it. + - These replace R1's 900 s and 600 s. R1 sized them for an arm's full phase set; H54q keeps + items one by one across holds (Q1 item 4), so the end of a hold is not wasted on an arm that + cannot finish. +- Items: the arm's items still to answer, items that errored once first, then the rest in item + order. + - Asked 16 in flight with H54a's chat and grader, unchanged: prompt, temperature 0, + `max_tokens` 1024, thinking off, and the last number against the `####` answer. + - Each finished request is written to `items.jsonl` at once. + - No request starts after the item stop. A request still running then is cut and leaves no + row, so its item is not answered. +- Errors (Q1 item 5): an item's first error puts it back at the end of the same turn. If the + turn ends first, it heads the arm's next turn. A second error is recorded as a wrong answer. +- A server that stops answering (Q1 item 4, R3): + - The server is probed (model list and a 16-token chat, 300 s) in three cases: after 16 errors + in a row, after 600 s with requests in flight and none finishing, and when a turn's queue + ends on an error. A probe ends 5 s before the item stop, and none starts with less than 30 s + left. + - A failed probe ends the turn. The arm is failed with "server stopped answering", and the + errors since its last answer are discarded, so those items stay not answered. + - After a passing probe the errors stand. +- The item window's void check is recorded, not gated. H54a never voided quality items, and no + H54q statistic is timed. Teardown is R1's. + +**Holds (`qcampaign.sh`).** + +- Before each hold, `h54.py q-plan` reads the records so far. It names the arms with items left, + in Q1's order R, OVQ, OVB, Lg, Vi. + - An arm not deliverable or failed in two holds is not run again (R3 carries once). + - Vi, the probe-first arm, is not run again after its first loss. +- The hold then runs with `hold.sh q `. The lock, the H50 hold-start rule, the 97% + disk line and `timeout -k 30 2400` are unchanged. +- The campaign stops early when no arm has items left. Each `hold.sh` run counts toward Q1's cap + of 3. + +**Wiring smoke.** One smoke, before hold 1, under the lock: row `smokeq`, cluster +`k3dgpu-g-h54smokeq-1`, records under `~/k3dgpu-gemma/smoke/`. + +- R, OVQ and Lg each go through readiness, then answer `q-smoke.jsonl`'s two non-GSM8K questions. +- No GSM8K item is asked. +- It is discarded and disclosed in the run section, as H54a's three smokes were. It is not a hold. + +**Scorer (`h54.py score-q`).** + +- Each arm's items 0-199 come from H54a's records (OVQ, OVB and Lg, items 0-49) and from the + H54q rows. The first answer counts, a second error is wrong, and discarded rows are left out. +- A test exists only when both of its arms answered all 200 items. +- The paired bootstrap: d_i = a_i - b_i per item; 10,000 resamples of the 200 items with + replacement (Python's `random.Random(1).choices`); each test seeded 1 on its own. The CI is the + sorted means' entries 250 and 9,749, the same percentile indices as H54a's `boot_ratio`. +- The verdict, as the row states: + - REFUTED when a present test crosses a REFUTED bound. + - SUPPORTED when both tests are present and both SUPPORTED bounds hold. + - Otherwise INCONCLUSIVE. +- Lg - R, OVB - R and Vi - R are computed the same way and reported, not gated. + +**Records.** `~/k3dgpu-gemma/results/H54q/hold//` holds `items.jsonl`, `q.json`, +`status.json`, `deploy.yaml`, `server.log` and the readiness files. Each hold also keeps +`reproduce.txt`, `serving.jsonl`, `pre.txt` and `post.txt`. The campaign keeps `plan-hold.txt`, +`not-run.txt` and `score-q.json`. In the repository they go under +`bench/h54/results/2026-10-29/H54q/`. + +**Deploy commit.** The holds run from this amendment's branch head, pushed before the smoke and +hold 1, in a clean, detached checkout at `~/k3dgpu-gemma/h54q/repo`. It is not merged when they +run. [Amendment E2](#crescent-amendment-e2-pins-deploy-commits-order-and-the-restore-check-for-the-pending-crescent-rows-2026-10-29) +item 2 asks for `origin/main` at or after the runner amendment. This is the same deviation H50's +E3 and H51's S1 disclosed. + +**Predictions.** None is edited. Written with the H54q row's predictions in view and before any +H54q data existed. H54a's items 0-49 for OVQ, OVB and Lg were already known (49, 49 and 50 of 50). + ### H54a run (Xeon 6741P, 2026-10-21) ```text @@ -5089,6 +5203,153 @@ H54d is recorded INCONCLUSIVE (not run). Running it would need a dated amendment without B1g's score (or a working B1g), a runner amendment (the pairs runner has no llama.cpp arm A), and the tool-call wiring smoke. Record: `bench/h54/results/2026-10-21/H54d/not-run.txt`. +### H54q run (Xeon 6741P, 2026-10-29) + +**Reproduce:** + +```text +# provenance +date: hold 1 2026-10-29T19:46:09Z (lock; no wait, load1 7.41) .. 20:20:00Z (cluster + k3dgpu-g-h54q-1 deleted); hold 2 20:20:10Z (lock; load1 30.44, waited 120 s) .. + 20:59:42Z (k3dgpu-g-h54q-2); hold 3 20:59:42Z (lock; load1 5.66, no wait) .. 21:15:39Z + (k3dgpu-g-h54q-3). Every hold under flock -w 21600 ~/k3dgpu-bench.lock; / at 29% before + and after each. Wiring smoke (not a hold): 19:40:54Z .. 19:45:48Z, k3dgpu-g-h54smokeq-1 +pre-registered: H54 pre-registration (#158); Q1 (#225, merged 2026-10-29T09:24:56Z); Q2, the runner, + pushed 19:34:33Z (11e076db) on this branch, before the smoke and hold 1, and not merged + when the holds ran +hypothesis: H54q +host: crescent: Intel(R) Xeon(R) 6741P, 96 CPUs, 1 socket, 1 NUMA node, microcode 0xa000133, + AMX (amx_bf16 amx_int8 amx_tile), governor performance, SMT on, 527767144 kB RAM, no + swap; kernel 7.0.0-31-generic; Docker 29.8.0 +cpuset: none on the node; R binds its 48 OpenMP threads to CPUs 0-47 (server.log: core ids + 0-47), Lg runs -t 48 -Cr 0-47, the OVMS arms as H54a rendered them +k3d-gpu commit: 85e77267 (11e076db, the Q2 runner, plus qcheck.sh, which no hold runs), 0 uncommitted, + detached at ~/k3dgpu-gemma/h54q/repo; k3d v5.9.0 behind H54a's shim, kubectl v1.35.2 +node image: cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f6...4b76, K3D_GPU_VENDORS=amx, C1's + K3D_GPU_K3S_ARGS (hold-run.sh, unchanged since H54a) +images: R, Vi vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba398...be05 (pulled into each cluster) + OVQ, OVB openvino/model_server@sha256:a928903f...fc58 (2026.4.1-gpu, H54a's pin) + Lg ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d...f312 +manifests: h54.py q-render (Q2), sha256 R 15b0996d..., OVQ 453c8d62..., OVB b7840780..., + Lg 720eaf9c..., Vi 95bc51d6...; OVQ, OVB and Lg byte-identical to H54a's + hold3/A1g, hold3/A1o and hold2/Lg deploy.yaml; R byte-identical to the Vq manifest + H54a's second wiring smoke booted +models: R google/gemma-4-26B-A4B-it-qat-q4_0-unquantized f1e06dc5 (bf16); OVQ + models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov (H54a's build, R1); + OVB OpenVINO/gemma-4-26b-a4b-it-int4-ov 4e5885c3; Lg + google/gemma-4-26B-A4B-it-qat-q4_0-gguf d1c082be (gemma-4-26B_q4_0-it.gguf + 3eca3b8f...); Vi Intel/gemma-4-26B-A4B-it-int4-AutoRound edff6272. Read under the lock + before the smoke (weights-verify.txt): every file in the pre-registration's sha256 + lists matches, and OVQ's 20 files match its manifest.json +data: bench/h54/gsm8k-test-0-199.jsonl 45e54be2... (openai/gsm8k main test @ 740312ad); + items 0-49 of OVQ, OVB and Lg from H54a's records (Q1 item 2) +command: bench/h54/qcheck.sh verify; qcheck.sh frontdoor pre; SMOKE=1 bench/h54/hold.sh smokeq 1 + R OVQ Lg; bench/h54/qcampaign.sh 1; qcheck.sh frontdoor post. Scorer, on the desktop + from the committed records: python3 bench/h54/h54.py score-q + bench/h54/results/2026-10-29/H54q (byte-identical to the score-q.json written on crescent) +serving load: serving.py beside each hold: non-campaign CPU mean 4.71 (hold 1), 4.42 (hold 2) and 2.57 + (hold 3) CPU-s/s; aiperf active in 0 of 521 windows +raw results: bench/h54/results/2026-10-29/H54q/ (hold1-hold3: per arm items.jsonl, q.json, + status.json, deploy.yaml, server.log, readiness records, phases.jsonl; per hold + reproduce.txt, pre.txt, post.txt, serving.jsonl.gz, hold.log, up.log, node.json; + plan-hold1-3.txt, not-run.txt, score-q.json, weights-verify.txt, frontdoor-pre.txt, + frontdoor-post.txt, campaign.log; smoke/hold1/). Logs over 20 kB are gzipped; + kubeconfigs are not kept. +``` + +**Wiring smoke (discarded, not a hold).** R was ready in 114 s, OVQ and Lg in 34 s. Each answered +the two non-GSM8K questions in `q-smoke.jsonl` correctly, and no GSM8K item was asked. + +**What ran.** + +| Hold | Arm | Ready after | Items asked | Answered | Errored | Item wall | +|---|---|---|---|---|---|---| +| 1 | R | 125 s | 0-199 | 200 | 0 | 542 s | +| 1 | OVQ | 34 s | 50-199 | 150 | 0 | 1,253 s | +| 1 | OVB, Lg, Vi | not reached: 259 s before the item stop (< 300) | | | | | +| 2 | OVB | 35 s | 50-199 | 150 | 0 | 1,098 s | +| 2 | Lg | 34 s | 50-199 | 150 | 0 | 672 s | +| 2 | Vi | not reached: readiness cut at 315 s by the hold's time | | | | | +| 3 | Vi | not deliverable: no model list and chat within 900 s | | | | | + +- No item errored or was cut, no server stopped answering, and no probe ran. R answered items + 0-199, and OVQ, OVB and Lg answered items 50-199, in holds 1 and 2, with no errored item. Items + 0-49 of OVQ, OVB and Lg are H54a's (Q1 item 2). +- Hold 3 ran only Vi, as Q2's plan reads. Vi's hold 2 turn was not reached, which costs nothing + under Q2, so hold 3 gave it its first full boot. +- In both of Vi's boots, vLLM v0.32.0 stopped loading the AutoRound checkpoint with "Layer + language_model.model.layers.0.experts has no parameter 'w2_qweight'", as in H54a's third wiring + smoke. Vi is descriptive, and nothing is scored from it. +- The cap: 3 holds of the 3 Q1 allows. The H54 campaign has now used 9 of its 10 holds (H54a 3, + H54b 2, H54c 1, H54q 3). + +**Result (`score-q.json`).** + +| Arm | Correct of 200 | Accuracy | Items 0-49 from H54a | +|---|---|---|---| +| R | 194 | 0.970 | none (R ran all 200 here) | +| OVQ | 191 | 0.955 | 49 of 50 correct | +| OVB | 192 | 0.960 | 49 of 50 correct | +| Lg | 193 | 0.965 | 50 of 50 correct | + +The tests use a paired bootstrap over items (10,000 resamples, seed 1). + +- **OVQ - R: -0.015, 95% CI -0.035 to 0.000.** OVQ was right on no item R missed, and wrong on 3 + items R got right. The lower bound clears -0.05, so the SUPPORTED half holds. The upper bound is + not below -0.05, so this test does not refute. +- **OVB - OVQ: +0.005, CI -0.015 to +0.025.** OVB alone was right on 3 items, OVQ alone on 2. The + upper bound is not below 0, so the SUPPORTED half fails. The lower bound is not above 0, so this + test does not refute either. +- **Verdict: INCONCLUSIVE.** Both tests exist, but only one SUPPORTED bound holds and no REFUTED + bound does. +- Not gated: Lg - R -0.005 (CI -0.025 to +0.015); OVB - R -0.010 (CI -0.035 to +0.015). Vi - R is + missing. +- Three items (85, 119 and 187) defeated all four arms; OVB alone answered 182. + +| Prediction (confidence) | Read | Held | +|---|---|---| +| R accuracy in [0.85, 0.96] (0.6) | 0.970 | no, above the range | +| OVQ - R in [-0.03, +0.02] (0.6) | -0.015 | yes | +| Lg - R in [-0.03, +0.02] (0.6) | -0.005 | yes | +| OVB - R in [-0.07, 0] (0.5) | -0.010 | yes | +| The OVB < OVQ part resolves on 200 items (0.2) | did not resolve (CI -0.015 to +0.025) | the 0.8 side held | +| INCONCLUSIVE (0.65), SUPPORTED (0.2), REFUTED (0.15) | INCONCLUSIVE | yes | + +**What this says.** On these 200 items, the QAT-matched INT4_SYM group-32 IR (OVQ) stays within the +pre-registered 5-point margin of the bf16 QAT reference: at 95%, it is at most 3.5 points worse. +The published base-model IR (OVB, AWQ INT4 asymmetric group 64 per note N1) answered one item more +than OVQ, so this item set shows no advantage from matching the QAT recipe. Every int4 build here, +and the bf16 reference, scored 95.5-97%. Near that ceiling, GSM8K items 0-199 leave too few +discordant items (5 between OVB and OVQ) to separate two builds by the pre-registered margin. That +is why the falsification log closes this item set for these builds. + +**Disclosed.** + +- Deploy commit. Q2 was pushed, not merged, before the data, and the holds ran from this branch. + That is the same deviation from E2 item 2 that H50's E3 and H51's S1 disclosed. Q2 changes no arm, + item, grader, statistic or threshold. +- Item window void check. In every arm's item window it reads void: non-campaign CPU 4.90-5.07 + CPU-s/s, over 4. The arm's own load raises the SGLang pairs' busy polling, R4's mechanism. Q2 + records this check and does not gate on it; no aiperf process ran in any hold. +- Two runs paired by item. Items 0-49 of OVQ, OVB and Lg come from H54a's 2026-10-21 runs at + k3d-gpu 6edf1bb7. Items 50-199 come from these runs, with the same manifests, node image and + images; `k3d-gpu up` came from 85e77267. Greedy decoding is deterministic per engine only up to + batch composition, and the two days batched items differently. +- Truncated replies. A few replies stopped at `max_tokens` 1024: 3 each for R, OVQ and OVB, and 5 + for Lg, among the items asked here. They are graded as written, as H54a graded them. +- Hold 2's start. It waited 120 s for load1 to fall below 12; load1 was 30.44, the tail of hold + 1's own arms. + +**Crescent after the run.** + +- No k3d cluster is left, no lock is held, and no process of this run is running. +- Both serving pairs answered through Dynamo :8100, each with its own request counter rising: + - before the smoke, at 19:37:01Z: :30000 157 to 158, :30001 52 to 53; + - after hold 3, at 21:15:57Z: :30000 158 to 159, :30001 54 to 55. +- H54q used no GPU and stopped no container. +- `~/k3dgpu-gemma/h54q/` stays on crescent: the checkout at 85e77267 and the run's console output. + Every record is also committed here. + ### H60 pre-registration: Qwen3.8-Flash-Next from host DRAM on the Xeon 6741P (2026-10-21) Written 2026-10-21, before any H60 step (no download, no server); revised the same day after a @@ -6138,6 +6399,147 @@ for h in 1 2; do LOCK=~/k3dgpu-bench.lock H57D_ROW=H57dp bench/h57d/hold.sh $h p python3 bench/h57d/h57d.py score-p ~/k3dgpu-h57d/results/H57dp > verdict.json ``` +### H57dp run (i9-13900T, 2026-10-29) + +**Reproduce:** + +```text +# provenance +date: 2026-10-29T19:33:20Z (hold 1 start) to 2026-10-29T20:41:54Z (hold 2 end), 2 lock holds +hypothesis: H57dp, H57de +host cpu: 13th Gen Intel(R) Core(TM) i9-13900T (P = CPUs 0-15, E = 16-31), no amx_*, no avx512*, + avx_vnni; microcode 0x133; PL1 = PL2 = 117 W; governor powersave, EPP performance +host kernel: 6.6.128-1-MANJARO +host memory: MemAvailable 58,117,164 kB of 131,521,428 kB at hold 1's start; SwapFree 73,689,528 of + 196,607,996 kB +k3d-gpu commit: c4407a2c (origin/main, carries #207, #215 (amendments R1 and R2), #180 and #183), node image + cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76 +runtimes: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312; + openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 (2026.4.1) +models: H57d's revisions, downloaded again: google/gemma-4-26B-A4B-it-qat-q4_0-gguf @ d1c082be; + OpenVINO/gemma-4-26b-a4b-it-int4-ov @ 4e5885c3; QAT drafter @ 95371415 -> Q4_0 GGUF rebuilt by + convert.sh, sha256 8eb21d5b7efad6e9761b81066e0b094b73623c60e46ba4c0925cdbbf49c93ca9, + 321,145,696 bytes (H57d's); Od's graph.pbtxt sha256 c57ecf35... (H57d's); all 10 LFS files + equal the committed weights.sha256 (sha256sum -c: 10 OK) +lock: ~/k3dgpu-bench.lock (amendment R2), for the downloads and check, convert.sh, the smoke and both holds +energy source: RAPL package-0 through energy.sh and sudo +co-tenants: qwen35-9b (vLLM v0.19.1, 13,530 MiB of GPU 1): running, 0 restarts, 0 requests during the campaign + (request_success_total stop = 1 and generation_tokens_total = 11 before and after); + gpustack-worker: running, crash-looping, RestartCount 4921 -> 4924 over hold 1 and 4924 -> 4927 over + hold 2; neither touched (cotenants-*.txt) +records: bench/h57d/results/2026-10-29/ (per hold reproduce.txt, load.jsonl, node.json, pre.txt, post.txt, per + arm deploy.yaml, cpus.txt, load-*.json, energy-*.json, phases.jsonl, pod.json), verdict.json, + weights.sha256, drafter-check.txt, cotenants-*.txt; SHA256SUMS also covers the logs not committed +``` + +Commands (from this commit, as amendment R2 lists them, `SUDO_ASKPASS` for RAPL): + +```bash +mkdir -p "/home/andrew/docker&models/k3dgpu-h57d/models" && ln -sfnT "/home/andrew/docker&models/k3dgpu-h57d" ~/k3dgpu-h57d +install -D -m 0755 bench/h57d/k3d-shim.sh ~/k3dgpu-h57d/bin/k3d +# under flock ~/k3dgpu-bench.lock: the three hf downloads at H57d's revisions, the .pinned-revision +# files, sha256sum -c against bench/h57d/results/2026-10-21/weights.sha256, the copy to ~/k3dgpu-h57d +LOCK=~/k3dgpu-bench.lock G=~/k3dgpu-h57d bench/h57d/convert.sh +SMOKE=1 LOCK=~/k3dgpu-bench.lock bench/h57d/hold.sh smoke-p perf Ld-mtp-u # discarded +for h in 1 2; do LOCK=~/k3dgpu-bench.lock H57D_ROW=H57dp bench/h57d/hold.sh $h perf; done +python3 bench/h57d/h57d.py score-p ~/k3dgpu-h57d/results/H57dp > verdict.json +``` + +The model step took the lock from 19:24:59Z to 19:30:34Z; the four pinned images (the two llama.cpp +images, OVMS and the node image) were pulled inside the same lock hold. `convert.sh` ran 19:30:41Z +to 19:31:18Z under the lock. Re-scoring the committed records (`score-p +bench/h57d/results/2026-10-29`) reproduces `verdict.json` byte for byte. + +One wiring smoke ran first under the lock and is discarded (19:31:19Z to 19:33:13Z, R1's `SMOKE=1`): +Ld-mtp-u ready after 55 s, one streamed 16-token request and one `chat_template_kwargs` chat +answered, and its affinity table had 43 threads on 0-15 and none on a single CPU. Both holds were +measured in their registered orders (hold 1: Ld-mtp-u, Od, Ld-mtp; hold 2: Ld-mtp, Ld-mtp-u, Od); +all 6 arm runs read `measured`, 8/8 N=1 requests each. Neither hold waited or was flagged (`load1` +<= 24 at both starts). Hold 1 took 34 min, hold 2 35 min. The P-core load sampler read `load1` +5.3-21.0 (mean 15.3) in hold 1 and 6.4-37.3 (mean 16.3) in hold 2; package temperature peaked at +95 C and 100 C. These are the last 2 holds of H57d's 6-hold cap. + +N=1 decode tok/s (8 requests per hold, 256 tokens, greedy, `ignore_eos`): + +| Arm | Hold 1 | Hold 2 | Pooled median (16) | Foreign P-core load, N=1 mean CPU-s/s | Server cgroup cpuset | +|---|---|---|---|---|---| +| Ld-mtp-u (unpinned, 8 threads) | 13.57 | 13.23 | 13.39 | 3.11 | 0-15 | +| Ld-mtp (as H57d, `-C 0x5555 --cpu-strict 1`) | 12.25 | 12.03 | 12.09 | 3.42 | 0-15 | +| Od (OVMS int4 OVB) | 9.69 | 9.94 | 9.78 | 0.45 | 0-15,17-31 (not as registered, below) | + +Affinity check (amendment R1): passed in both holds. Ld-mtp's single-CPU threads sat on exactly +CPUs 0, 2, ..., 14 (9 threads, 2 on CPU 0), and Ld-mtp-u had none (43 threads on 0-15). + +Load gate (H57d's, over the three delivered arms): spread of the arms' foreign P-core load 2.97 +CPU-s/s > max(2.0, 25% of the mean), **unmatched**. Od's foreign load was 0.44 and 0.46 in the two +holds, the llama.cpp arms' 2.74-3.79. Quality: inherited as registered, not gated (`quality_records`: +H57d hold 4, Ld-mtp 50/50 for Ld-mtp-u and Ld-mtp, Od 50/50 for Od). + +**H57dp: INCONCLUSIVE** (`h57d.py score-p`): load unmatched, foreign P-core load spread 2.97 > 2.00 +CPU-s/s. The scorer stops before the statistic. + +**H57de: INCONCLUSIVE** (`h57d.py score-p`): the same load gate, unmatched. Separately, Od was not +the registered Od (below), so H57de would not have been read against the registered arm in any case. + +Reported, not gated (the statistics the rows would have read, from the same records): Ld-mtp-u/Ld-mtp +1.108, 95% bootstrap CI 1.072-1.142, per hold 1.108 and 1.100, the two arms' foreign load 0.30 +CPU-s/s apart (their pair alone would pass the gate). Ld-mtp-u/Od 1.369 (1.345-1.396), per hold +1.400 and 1.331; Ld-mtp/Od 1.236 (1.203-1.275). Predictions: H57dp's verdict (SUPPORTED, 0.5) did +not come true; its ratio range [1.0, 1.8] held. H57de's verdict (REFUTED, 0.5) did not come true; +its range for Ld-mtp-u/Od [1.0, 1.6] held for the number, with Od as run. +TTFT on the 1,000-token prompt (holds 1/2): Ld-mtp-u 19.9/20.3 s, Ld-mtp 15.8/16.5 s, Od 26.3/25.4 s. +N=4 aggregate tok/s: Ld-mtp-u 20.7/20.0, Ld-mtp 21.4/20.5, Od 18.4/18.2. Package J/output token over +N=1, gross: Ld-mtp-u 7.1/7.7, Ld-mtp 8.2/8.5, Od 10.0/9.8 at 91-95 W; net of the arm's idle power +0.58-0.83 J/token, which, as in H57d, the shared host's idle draw (84-88 W) leaves unresolved. + +What the numbers show, beside the verdicts. The load gate failed on Od's foreign load, not on the +H57dp pair: during Od's phases the P-core busy time minus the node's CPU fell to about 0.45 CPU-s/s, +against 2.7-3.8 during the llama.cpp arms' and 3.0-3.9 during every arm's 60 s idle phase. H57d's +quietest hold showed the same gap with Od on the P-core balloon (Od 0.92, Ld 3.68, Ld-mtp 3.31 in +hold 3); its busier holds 1-2 did not (Od 6.28 and 5.14, Ld 6.89 and 6.28), so H57d's pooled gate +passed at 1.80. In the +pair the row asks about, the unpinned arm was faster in both holds, by 10.8% and 10.0%, at matched +load; the 1.10 bar sits inside that range, so even a matched gate would have read SUPPORTED only +narrowly. Unpinned Ld-mtp-u used more node CPU than pinned Ld-mtp over N=1 (6.8 against 5.8 CPU-s/s). +Ld-mtp in H57d's quiet hold 3 (mean `load1` 15.5) read 12.28 tok/s; here, at mean `load1` 15.3 and +16.3, it read 12.25 and 12.03. + +**Deviation: Od did not get the P-core balloon.** `arm.sh` renders Od by running +`scripts/k3d-gpu agent manifest` against the hold's own kubeconfig without `K3D_GPU_CLUSTER`. Since +PR #183 (`a7f95676`, 2026-10-21, after H57d's holds) every kubectl call of `k3d-gpu` names the +context `k3d-${K3D_GPU_CLUSTER:-gpu}`, that is `k3d-gpu`, and a hold's kubeconfig holds only +`k3d-k3dgpu-d-h57d-` (`kubectl --context k3d-gpu` answers "context was not found"). The +manifest's node queries failed silently, so it saw no hybrid node and no allocatable CPU: Od's +`deploy.yaml` lacks the `k3d-gpu.io/cores: performance` label and requests 1 CPU (H57d: 16); +`agent.err` reads "on CPU, 1 CPU(s)" where H57d's named the P-cores. Its memory limit and +`agent-fit` follow the host's free memory at render time: 36Gi and `cpu 6x131072` in hold 1, 39Gi +and `cpu 7x131072` in hold 2 (H57d: 25-30Gi, 4 sequences). Its serving arguments and the read-only +`graph.pbtxt` are H57d's in both holds. The pod ran in the node's shared pool, cgroup cpuset +0-15,17-31 (31 CPUs), in both holds. Its node CPU over N=1 was 7.96 and 7.85 CPU-s/s and never +exceeded the P-core busy time, which fits OVMS staying on the P-cores but does not show it. The two +llama.cpp arms are rendered by `h57d.py` with the label and the 16-CPU request and got cpuset 0-15, +as the affinity check confirms. The deviation was found while hold 2 ran; both holds kept the same +Od placement, image and arguments, so the pooled records are of one treatment, and no hold or arm +was repeated (none was left). The amendments' tests render Od with stand-in tools and could not see +it. Any later row that renders Od through `arm.sh` (the H57w rows on wildct use the same runner) +needs `K3D_GPU_CLUSTER=${CLUSTER}` on that call, in a dated amendment before its holds. + +Confounds: + +- Shared host: other sessions and about 50 containers ran throughout; arms were rotated over the two + holds, not interleaved per request. The two GPU co-tenants were left running (no row uses a GPU); + qwen35-9b served no request, and gpustack-worker restarted 3 times in each hold (about 24 CPU-s per + restart, read on 2026-10-29 before the campaign), which the sampler counts as foreign load. +- Hybrid vendor: from `c4407a2c` (with #180) the node ran no intel-gpu-plugin (amendment R2), unlike + H57d's nodes; no arm requested a `gpu.intel.com` resource either way. +- Od placement, above. Ld-mtp-u's quality is inherited from Ld-mtp's H57d record, as registered. + +Cleanup: both holds' clusters (`k3dgpu-d-h57d-1`, `-2`) and the smoke's were deleted at each hold's +end; no `k3dgpu-d-*` cluster or container remains. The campaign directory on the second disk (models, +drafter, records, 30 GB) and the four images it pulled are removed. cpufreq was not changed: the +`bench/prefill-guard/cpufreq.sh snapshot` before the downloads and after hold 2 are byte-identical +(and equal H5's campaign snapshot). + ### Wildct pre-registration: client Raptor Lake (i7-13700, 2026-10-20) Written 2026-10-20, before any H52w, H18w, H25w, H28w, H34w or H57w measurement on this host. @@ -9533,6 +9935,211 @@ integrations/eat/eat-check.sh # expect: ==> E scripts/k3d-gpu down; bench/load/load.py stop ``` +### F4 pre-registration (i9-13900T, 2026-10-29) + +Written 2026-10-29, before any F4 step, in the change that moves `integrations/eat/eat-up.sh` +from `release-1.0.3-hotfix` (`0d3438d`) to `release-1.1.0` (`0c726f5`). H1b keeps its verdict: +it ran the old tag and says nothing about the new one. F4 is a new row, run once, and graded +only by what is written here. + +Why a new row. The move changes what the path deploys, and none of it has run: + +- `eat-up.sh` clones `release-1.1.0` and refuses any other HEAD. +- `agentic-config.cfg` sets `deploy_guardrails`, `deploy_vllm_sr`, `deploy_openshell`, + `deploy_kata_containers`, `deploy_ceph` and `rack_scale_mode` to `off`. +- `brownfield.sh` hands the config's `deploy_guardrails` to `DEPLOY_GUARDRAILS`, the variable + that gates the guardrail step (`core/lib/cluster/deployment/fresh-install.sh:419` at + `0c726f5`). `deploy-agentic-stack.sh:195` sets it to `on` when the script is sourced, and only + its `main()` (`:1138`), which a sourced run skips, reads the config key. Without the hand-off, + the brownfield path deploys `Qwen/Qwen3Guard-Gen-0.6B` whatever the config says. +- `vllm-values.yaml` pins `vllm/vllm-openai-cpu:v0.28.0`, the tag `release-1.1.0`'s + `xeon-values.yaml:34` names, to its index digest + `sha256:197354e6475e638eb5ccca09beb078488046a82de0e204e7429bf1a804df9647` (Docker Hub, + read 2026-10-29). +- EAT's own changes on the path: the GenAI Gateway chart turns on `customRouter.enabled` and + adds the `custom_hybrid_router.proxy_handler_instance` callback, whose code LiteLLM loads + from a ConfigMap; the config moves to `/app/proxy_config.yaml` through a `subPath` mount; + the vLLM chart's pod gains `fsGroup: 1001` and its PVC loses `storageClassName: local-path` + (k3s's default class is `local-path`). + +Unchanged from H1b: the node labels, the `5 / 1 / yes` menu answers +(`core/lib/brownfield/` has no diff between the tags), the gateway pins (`gateway-charts.py` +runs clean on `release-1.1.0`'s charts and pins the same images), the bastion image, the KV cache +(6 GiB), the P-core balloon, and `eat-check.sh`. + +- **Host.** The shared i9-13900T. No load generator: F4 is functional, not graded against a + time budget. The host's other tenants keep running; `uptime`, `free -g` and the count of + running containers are recorded before step 1 and after step 6. +- **One fresh cluster.** `k3dgpu-f4-eat`, created by this run and deleted after it, scratch + `KUBECONFIG` (never `~/.kube/config`), an empty `EAT_WORK`. Every step runs once; nothing is + retried and nothing is uninstalled between steps. +- **Steps, each timed (wall s) and logged in order.** (0) before the host lock: `docker build` + of the node image at the commit under test (the README's note), the EAT clone at + `release-1.1.0` and the bastion build (no cluster touched); (1) `k3d-gpu up` with + `K3D_GPU_CLUSTER=k3dgpu-f4-eat` and the README's EAT env; (2) `eat-up.sh`, with every + `PLAY RECAP` line and the guardrail line ("Skipping content-safety guardrail deployment...") + recorded; (3) `eat-up.sh model cpu-qwen3-1-7b`; (4) `kubectl wait --for=condition=Ready pod + -A --field-selector=status.phase!=Succeeded --timeout=30m`, output and exit code recorded + verbatim; (4j) every Job on its own line (namespace/name, `Complete` or `Failed`, succeeded + and failed counts), and the pod list with each container's image ID; (5) `eat-check.sh`, + output verbatim; (6) `k3d-gpu down`. Host lock: `flock` on the shared live lock, at most + 45 min from taking it to releasing it; the cluster is deleted before release. +- **Recorded, not graded.** The vLLM pod's image digest; the gateway pod's log line + `[HybridRouterProxy] litellm.router.Router patched`; `helm list -A` (no guardrail release + expected). +- **Grading, fixed now.** SUPPORTED only if steps 1-4 exit 0, step 5 exits 0 and prints + `EAT check passed` (a non-empty chat reply, a `get_weather` tool call with + `finish_reason: tool_calls`, sandbox stdout exactly `385`), and no Xeon-only instruction or + node label is needed. REFUTED by any of steps 1-3 failing, by step 5 failing, or by step 4 + ending non-zero while a pod owned by a Deployment, StatefulSet, DaemonSet, ReplicaSet or + Sandbox is not Ready. INCONCLUSIVE when step 4 ends non-zero and every pod not Ready is a Job + pod or the wait ends on a pod deleted during it, when the lock runs out before step 5, or + when an image pull is refused by a registry rate limit (HTTP 429 in the pod's events, recorded + verbatim). A failure is not fixed and regraded inside F4; a fix lands in its own change with + a new row. +- **Prediction.** P(SUPPORTED) = 0.6. The two named risks, read from source and not run: the + hybrid-router callback fails to import in LiteLLM `v1.83.14-stable.patch.2` and the gateway + never turns Ready (0.15; against it, every name the callback imports or patches is defined in + that tag's `litellm/router.py` and `litellm/router_strategy/complexity_router/config.py`), and + vLLM CPU `v0.28.0` does not load or answer Qwen3-1.7B on this AVX2-only CPU inside the wait + (0.15; H1b's `v0.24.0` did). Anything else, REFUTED or INCONCLUSIVE: 0.1. + +```bash +# Reproduce on one fresh cluster. Host needs docker, k3d, kubectl, curl, jq. +lscpu | grep 'Model name'; uname -r; git rev-parse HEAD; uptime; free -g +export KUBECONFIG=$PWD/f4.kubeconfig K3D_GPU_CLUSTER=k3dgpu-f4-eat EAT_WORK=$PWD/eat-work +IMAGE=k3d-gpu:eat-$(git rev-parse --short HEAD) +docker build -q -t "$IMAGE" . && docker image inspect --format '{{.Id}}' "$IMAGE" +K3D_GPU_IMAGE="$IMAGE" \ +K3D_GPU_NODE_LABELS=ei-infra-eligible=true,ei-inference-eligible=true \ +K3D_GPU_K3S_ARGS=--disable=servicelb scripts/k3d-gpu up +integrations/eat/eat-up.sh +integrations/eat/eat-up.sh model cpu-qwen3-1-7b +kubectl wait --for=condition=Ready pod -A --field-selector=status.phase!=Succeeded --timeout=30m +kubectl get jobs -A; helm list -A +integrations/eat/eat-check.sh # expect: ==> EAT check passed. +scripts/k3d-gpu down; uptime; free -g +``` + +### F3 pre-registration (i9-13900T, 2026-10-29) + +Written 2026-10-29 and committed before any F3 step. F3 is a functional check of +`k3d-gpu eas` ([docs/intel/eas.md](docs/intel/eas.md)): one scored run, graded only by +what is written here. Nothing below is edited after the run starts; a change is a dated +amendment written before the step it changes. + +**Why.** Gate 2 ran EAS's platform and inference layers on k3d once, by hand, at EAS +`e8f3ebc` and enterprise-inference `aaca1e5` +([upstream-eat.md](docs/intel/upstream-eat.md#test-plan)). The agent-toolkit layer (EAT +2.0, EAT #19) has not run on k3s or k3d in this repo's records. `k3d-gpu eas` makes every +k3d choice from what it reads in the cluster and applies the k3d patches as an overlay, +all read from source. F3 checks that whole path on one host, with nothing done by hand. + +**When.** F3 runs from the first `origin/main` commit that holds this section, the +`k3d-gpu eas` command (`cmd_eas` in `scripts/k3d-gpu`, `integrations/eas/`) and the +`eat-up.sh` move to `release-1.1.0`; that SHA is the run header's `k3d-gpu commit`. The +`eas` CLI PR's unscored wiring smoke on a throwaway cluster comes first and is recorded in +that PR, not here; anything it changed in the product is in that commit. If +`integrations/eas/pins.json` at that commit names other SHAs than the pins below, F3 does +not start until an amendment names the new ones. + +- **Pins (profile `main`).** EAS `97f6157d6a72f7173c698c474d4e51d2c79f1fd6`, + enterprise-inference `3e8a24486b6ee812adf2bf452f8ba5751c16c8bd`, EAT `release-2.0.0` + `036b66234801e9bd950afd90830821859780d668`. No `--eas-ref`, `--ei-ref`, `--eat-ref` or + `--model`. +- **Host.** The shared i9-13900T (8 P-cores, 16 E-cores, 32 CPUs, 125.4 GiB MemTotal, no + AMX, no AVX-512, UHD 770). Its sysctls stay as they are; on 2026-10-29 they were + `fs.inotify.max_user_instances=1024` and `max_user_watches=524288`, below EAT's + 8192/1048576, and `eas up` is expected to warn and print the line, not apply it. No + synthetic background load: F3 checks function, not speed. Other tenants keep running; + `uptime`, `MemAvailable` and the count of running containers are recorded at the start + and end of the lock. +- **One fresh cluster.** `K3D_GPU_CLUSTER=k3dgpu-f3-eas`, created by this run and deleted + after it, through its own kubeconfig (never `~/.kube/config`). Plain `k3d-gpu up`: no + `K3D_GPU_K3S_ARGS`, `K3D_GPU_BALLOONS` or `K3D_GPU_NODE_LABELS`. `HF_TOKEN` is set in the + environment if the operator has one, and recorded only as set or unset. Every step runs + once; nothing is retried; no file in the EAS state dir and no object in the cluster is + edited by hand at any point. +- **Steps, each timed (wall s) and logged in order, exit code recorded.** (0) Before the + lock: `docker build` of the node image at the deploy commit, and `git ls-remote` of the + three pins (recorded; a moved branch head does not matter, the SHAs are pinned). + (1) `k3d-gpu up`. (2) `k3d-gpu eas up --agent-toolkit --dry-run`; `choices.txt` and + `overlay.txt` copied into the record. (3) `k3d-gpu eas up --agent-toolkit`, full log, + with the bastion image tag it built or reused. (4) `kubectl wait --for=condition=Ready + pod -A --field-selector=status.phase!=Succeeded --timeout=30m`, output verbatim, then + every Job's condition on its own line and the pod list. (5) `k3d-gpu eas check`, output + verbatim. (6) `k3d-gpu eas status`, recorded, not graded. (7) Secret scan, below. + (8) `k3d-gpu eas down`, then `kubectl get ns` recorded. (9) `k3d-gpu down`. During + steps 3, 5 and 8, `ps -eo args` is sampled every 2 s into a scan file. +- **Secret scan (step 7).** The values are read from the cluster: Secret + `litellm-master-key` (namespace `litellm`), Secret `sandbox-router-auth` + (`agent-sandbox-system`), Secret `keycloak-admin-secret` if the install made one, and + `HF_TOKEN` if set. Each value, raw and base64, is counted with a fixed-string `grep -c` + over the step logs, the `ps` samples and every file under + `${STATE_DIR}/eas-k3dgpu-f3-eas/logs/`. Only the counts are recorded; no value is + printed, and a file with a hit is deleted after counting. +- **Lock.** `flock -w 21600 /live.lock`, at most 180 min from taking it to + releasing it. Step 3 is stopped 100 min after it starts. The cluster is deleted before + release, also on failure. + +**Predicted choices on this host (from step 2, graded).** Each is a value in `choices.txt` +or the overrides, not a wording: + +| Fact `eas up` should read | Choice | +|---|---| +| a k3d-gpu cluster | `existing_kubernetes` set to the mounted per-cluster kubeconfig | +| node CNI `bin_dirs` `["/usr/bin"]` | `istio_platform: k3d` | +| ServiceLB on | `metallb_enabled: false` | +| k3d-gpu's baked hybrid balloons DaemonSet | `kubernetes_cpu_policy: best-effort` | +| k3d-gpu's NFD in `node-feature-discovery` | `nfd_enabled: false` | +| no AMXBF16 label | `require_amx: false` | +| no CIDR flags in `k3s.io/node-args` | `kubernetes_cluster_cidr: 10.42.0.0/16`, `kubernetes_service_cidr: 10.43.0.0/16` | +| BYO cluster | `kata_containers_enabled: false` | +| `gpu.intel.com/i915` allocatable | `kubernetes_accelerator: cpu`, with the line pointing at `k3d-gpu agent up` | +| no agent-sandbox CRDs | `agent_sandbox_enabled: true` | +| 24 cores; inotify limits as read at step 2 | a core-count warning; an inotify warning with the `sysctl` line if either limit is below 8192/1048576; the host unchanged | +| overlay at EAS `97f6157` | 0002 apply, 0006 apply (variant a), 0003 skip, 0004 skip, 0005 skip | + +The model is recorded and graded against the rule, not a name: EAT's default needs about +131 GiB, more than this node has, so the pick must be the first of `qwen2-5-coder-7b`, +`llama-3-1-8b` that `k3d-gpu fit` says fits, with the node allocatable memory and the fit +JSON it came from recorded. Predicted: `qwen2-5-coder-7b`. + +**Grading, fixed now.** + +- **SUPPORTED** only if all hold: steps 1, 2 and 3 exit 0 and every `PLAY RECAP` line in + step 3's log reads `failed=0`; step 2's choices and overlay decisions equal the table + above, and step 3 applied the same; the model pick follows the rule; step 4 exits 0; + step 5 exits 0 (its chat through the EAS gateway returns HTTP 200 with non-empty + content, and its sandbox step passes); every count in step 7 is 0; step 8 exits 0 within + 15 min; and no step needed a hand edit, a retry, or a flag not named here. +- **REFUTED** if any of: step 1, 2 or 3 exits non-zero, or the overlay STOPs; a choice or + decision differs from the table (recorded; the run goes on so the rest is observed); + step 4 ends non-zero with a pod owned by a Deployment, StatefulSet, DaemonSet, + ReplicaSet or Sandbox not Ready; step 3 stopped at 100 min with a pod Pending on + insufficient CPU or memory, or in CrashLoopBackOff; step 5 fails while every such pod + is Ready; any count in step 7 above 0; step 8 non-zero or over 15 min. +- **INCONCLUSIVE** if: the rule picks no model (`llm_services_autodeploy_models: []`) + because `fit` says none fits at that moment, so no chat is possible (`MemAvailable` and + the fit JSON recorded); an image or model download fails with a registry or Hugging Face + error (HTTP 429 or 5xx, recorded verbatim); step 3 is stopped at 100 min while every pod + not Ready is still pulling an image or downloading a model; step 4 ends non-zero and + every pod not Ready is a Job pod; or the lock runs out before step 8. +- **Precedence** (written 2026-10-29 in review, before any F3 step). A REFUTED condition + that follows only from an INCONCLUSIVE one grades INCONCLUSIVE: step 3's non-zero exit + when it was stopped at 100 min while every pod not Ready was still pulling an image or + downloading a model; a failure of any step caused only by the recorded registry or + Hugging Face error; and step 5's failure when the rule picked no model. Every other + REFUTED condition, a choice or decision that differs from the table above included, + grades REFUTED whatever else happened. + +**Prediction.** SUPPORTED. Prior P(SUPPORTED) = 0.35. The open risks, none observed yet: +agent-sandbox v0.5.0 on Kubernetes 1.37 (EAS tests 1.34.3); the CPU requests of the +whole stack, Qwen3Guard's 8 included, on a 32-CPU node; helm v3.22.1 with +`kubernetes.core` 6.3.0; a BYO task that needs `sudo` inside the bastion; inotify at 1024 +instances with this many pods; EAS #71 at teardown; and host memory taken by other +tenants. + ### H2 run (i9-13900T, 2026-10-16) ```text diff --git a/README.md b/README.md index e704433b..8e7aad3f 100644 --- a/README.md +++ b/README.md @@ -920,7 +920,8 @@ that of every variant the trusted orgs publish of it, found by name and by for Q4_0: symmetric int4, blocks of 32) also gets a self-built candidate: an OpenVINO IR at INT4_SYM group 32, made by a pinned one-time conversion (`console/convert-pins.json`, moved nightly to the newest compatible releases). - It ranks below the official IR until H54q measures it, and + It ranks below the official IR until a quality row promotes it (H54q is that + row, and its run did not promote it), and `K3D_GPU_AGENT_VARIANT=qat-convert` forces it. `plan --explain` prints the commands. A QAT target only takes a QAT drafter, as the model card requires. - **Speculative decoding.** It uses the engine's documented method and stays inside @@ -1420,9 +1421,19 @@ the in-process stub in `bench/test_agent_trace.py`. node through EAT's own brownfield path, on a non-Xeon client CPU. Its vLLM pod joins the hybrid balloons policy's `performance` balloon through EAT's own chart annotation, so EAT's CPU balloons stay off and `hybrid` stays on. It deploys the -pinned tag `release-1.0.3-hotfix` (the latest, `release-1.1.0`, adds OpenShell; -`eat-up.sh` refuses `deploy_openshell=on` because its pinned tag has no OpenShell -role). See [docs/platforms.md](docs/platforms.md). +pinned tag `release-1.1.0`, the latest, with its guardrail, vLLM Semantic Router, +OpenShell, Kata and rack-scale mode off. That path is pre-registered as F4 and has +not run yet; the previous pin, `release-1.0.3-hotfix`, passed end to end +[ledger:H1b]. See [docs/platforms.md](docs/platforms.md#intel-enterprise-agent-toolkit-eat). + +EAT 2.0 installs through Intel's AI for Enterprise Solutions (EAS) installer instead. +`k3d-gpu eas up --agent-toolkit` runs it against the k3d-gpu cluster in EAS's +bring-your-own-cluster mode, choosing each k3d setting from the cluster and applying the +k3d patches EAS has not merged yet. It covers EAS's platform, inference and agent-toolkit +layers on the Xeon CPU path, where EAS and EAT ship them today; EAS's Enterprise RAG +layer is not wired in yet, and an Arc or Gaudi card stays with `k3d-gpu agent up`. It has +not run end to end yet: F3 in [EXPERIMENTS.md](EXPERIMENTS.md#f3-pre-registration-i9-13900t-2026-10-29) is PENDING. +See [docs/intel/eas.md](docs/intel/eas.md). ### Experimental features (auto-adapting) diff --git a/bench/h54/arm.sh b/bench/h54/arm.sh index e7783c93..58ee2076 100755 --- a/bench/h54/arm.sh +++ b/bench/h54/arm.sh @@ -7,6 +7,9 @@ # CLUSTER the hold's cluster; KUBECONFIG its scratch kubeconfig # DEADLINE epoch second the hold's arms must end by # SERVING the hold's serving.jsonl (bench/eatflow/crescent/serving.py) +# H54Q set: an H54q arm (amendment Q2): ARM is R, OVQ, OVB, Lg or Vi, its manifest comes +# from H54a's records (h54.py q-render), and after readiness it answers its GSM8K +# items (h54.py q-items) until the item stop, 90 s before DEADLINE; no phases # status.json: measured | not_deliverable | not_reached | failed, with the reason. set -uo pipefail ARM=$1 OUT=$2 @@ -19,8 +22,10 @@ now() { date +%s; } stamp() { echo "$(date -u +%FT%TZ) ${ARM} $*" | tee -a "${OUT}/arm.log"; } status() { ${PY} -c 'import json,sys; json.dump({"status": sys.argv[1], "reason": sys.argv[2], "at": sys.argv[3]}, open(sys.argv[4], "w"))' \ "$1" "$2" "$(date -u +%FT%TZ)" "${OUT}/status.json"; stamp "status $1: $2"; } -field() { ${PY} "${H}/h54.py" arms | ${PY} -c 'import json,sys; a=json.load(sys.stdin); print(a["arms"][sys.argv[1]].get(sys.argv[2], ""))' "${ARM}" "$1"; } -served() { ${PY} "${H}/h54.py" arms | ${PY} -c 'import json,sys; print(json.load(sys.stdin)["served"][sys.argv[1]])' "${ARM}"; } +B=${ARM} # the H54a arm whose server this is +[ -z "${H54Q:-}" ] || B=$(${PY} "${H}/h54.py" q-base "${ARM}") || exit 1 +field() { ${PY} "${H}/h54.py" arms | ${PY} -c 'import json,sys; a=json.load(sys.stdin); print(a["arms"][sys.argv[1]].get(sys.argv[2], ""))' "${B}" "$1"; } +served() { ${PY} "${H}/h54.py" arms | ${PY} -c 'import json,sys; print(json.load(sys.stdin)["served"][sys.argv[1]])' "${B}"; } NODE=k3d-${CLUSTER:?}-server-0 NSP=$(field ns) SVC=$(field svc) SPORT=$(field port) API=$(field api) BOOT=$(field boot) DEPLOY=$(field deploy) MODEL=$(served) @@ -40,9 +45,18 @@ pf_loop() { cleanup_pf() { [ -z "${pf}" ] || kill "${pf}" 2>/dev/null; pf=""; } trap cleanup_pf EXIT -left=$(( DEADLINE - $(now) )) -if [ "${left}" -lt 900 ]; then status not_reached "${left} s of the hold left (< 900)"; exit 0; fi -stamp "start (${left} s of the hold left)" +# H54a: an arm starts with at least 900 s of the hold left, and readiness ends 600 s before the +# hold does. H54q (Q2): no item is asked after STOP; an arm starts with at least 300 s before +# STOP, and readiness ends 60 s before it. +if [ -n "${H54Q:-}" ]; then + STOP=$(( DEADLINE - 90 )) + END=${STOP} NEED=300 EDGE=$(( STOP - 60 )) WHAT="before the item stop" +else + END=${DEADLINE} NEED=900 EDGE=$(( DEADLINE - 600 )) WHAT="of the hold left" +fi +left=$(( END - $(now) )) +if [ "${left}" -lt "${NEED}" ]; then status not_reached "${left} s ${WHAT} (< ${NEED})"; exit 0; fi +stamp "start (${left} s ${WHAT})" # ---- render -------------------------------------------------------------------------------- M=${OUT}/deploy.yaml @@ -57,7 +71,9 @@ eat_vllm() { # B1g: EAT's chart at 0d3438d as its playbook installs cpu-gemma4- --set ingress.enabled=false --set route.enabled=false > "${OUT}/eat.yaml" || return 1 ${PY} "${REPO}/bench/apb/stage.py" vllm "${OUT}/eat.yaml" "$1" google_gemma-4-26B-A4B-it-qat-q4_0-unquantized 8192 } +[ -z "${H54Q:-}" ] || DEPLOY=q case ${DEPLOY} in + q) ${PY} "${H}/h54.py" q-render "${ARM}" "${M}" ;; eat-vllm) eat_vllm "${M}" ;; derive-vllm) eat_vllm "${OUT}/b1g.yaml" && ${PY} "${H}/h54.py" derive-vllm "${ARM}" "${OUT}/b1g.yaml" "${M}" ;; eat-ovms) @@ -75,7 +91,7 @@ kubectl apply -f "${M}" > "${OUT}/apply.log" 2>&1 || { status failed "apply fail # ---- readiness: the model list and a 16-token chat ------------------------------------------ t_apply=$(now) -limit=$(( BOOT < DEADLINE - t_apply - 600 ? BOOT : DEADLINE - t_apply - 600 )) +limit=$(( BOOT < EDGE - t_apply ? BOOT : EDGE - t_apply )) base="http://127.0.0.1:${PORT}${API}" ready="" while [ $(( $(now) - t_apply )) -lt "${limit}" ]; do @@ -133,6 +149,30 @@ kubectl -n "${NSP}" get pod "${pod}" -o json > "${OUT}/pod.json" kubectl -n "${NSP}" exec "${pod}" -c "$(kubectl -n "${NSP}" get pod "${pod}" -o jsonpath='{.spec.containers[0].name}')" -- \ sh -c 'grep -c amx_tile /proc/cpuinfo; nproc' > "${OUT}/isa.txt" 2>&1 +if [ -n "${H54Q:-}" ]; then + # H54q (Q2): the arm's GSM8K items, or in a wiring smoke two non-GSM8K questions; no phases. + # The item window's void check is recorded, not gated (H54a never voided its quality items). + t0=$(date +%s.%N) + if [ -n "${SMOKE:-}" ]; then + ${PY} "${H}/h54.py" q-smoke "${base}" "${MODEL}" "${OUT}" "${STOP}" >> "${OUT}/arm.log" 2>&1 + status smoke "ready; wiring check in smoke-items.jsonl (rc $?)" + else + stamp "items: $(${PY} "${H}/h54.py" q-todo "$(dirname "$(dirname "${OUT}")")" "${ARM}" | wc -w) to ask" + ${PY} "${H}/h54.py" q-items "${base}" "${MODEL}" "$(dirname "$(dirname "${OUT}")")" "${ARM}" "${OUT}" "${STOP}" >> "${OUT}/arm.log" 2>&1 + rc=$? + if [ -s "${OUT}/q.json" ]; then + status "$(${PY} -c 'import json,sys; print(json.load(open(sys.argv[1]))["status"])' "${OUT}/q.json")" \ + "$(${PY} -c 'import json,sys; print(json.load(open(sys.argv[1]))["reason"])' "${OUT}/q.json")" + else + status failed "q-items exited ${rc} without a record" + fi + fi + t1=$(date +%s.%N) + echo "{\"phase\": \"items\", \"t0\": ${t0}, \"t1\": ${t1}, \"check\": $(${PY} "${H}/h54.py" void "${SERVING:?}" "${t0}" "${t1}")}" >> "${OUT}/phases.jsonl" + teardown + exit 0 +fi + if [ -n "${SMOKE:-}" ]; then # A wiring smoke (discarded, disclosed): one streamed 16-token request with ignore_eos, and one # chat with chat_template_kwargs, then the arm is deleted. No scored request. diff --git a/bench/h54/h54.py b/bench/h54/h54.py index 9c083a37..4a9462f8 100644 --- a/bench/h54/h54.py +++ b/bench/h54/h54.py @@ -17,8 +17,19 @@ h54.py carry RESULTS_DIR HOLD ARM... the arms HOLD carries to the next hold's front h54.py recheck RESULTS_DIR apply `served` to every arm recorded measured -Python 3 standard library only, except render/derive-vllm (PyYAML).""" - +H54q (amendments Q1 and Q2): quality only, items scored one by one and paired by item. + h54.py q-base ARM the H54a arm whose config an H54q arm runs + h54.py q-render ARM OUT.yaml the arm's manifest, from H54a's records + h54.py q-todo RESULTS_DIR ARM the items ARM still has to answer, in order + h54.py q-items URL MODEL RESULTS_DIR ARM OUT STOP + ask them, 16 in flight, until epoch STOP + h54.py q-smoke URL MODEL OUT STOP the wiring smoke's two non-GSM8K questions + h54.py q-plan RESULTS_DIR the arms the next hold runs, in order + h54.py score-q RESULTS_DIR the H54q tests and verdict + +Python 3 standard library only, except render/derive-vllm/q-render (PyYAML).""" + +import collections import concurrent.futures import glob import json @@ -28,6 +39,7 @@ import statistics import struct import sys +import threading import time import urllib.request @@ -505,6 +517,298 @@ def score_a(results): return rep +# ---- H54q (amendment Q1, runner amendment Q2) -------------------------------------------------- +# Each H54q arm runs an H54a config. OVQ, OVB and Lg apply the manifest H54a's scored run applied, +# byte for byte; R and Vi derive from H54a's recorded B1g render as H54a's arm.sh does. Items 0-49 +# of OVQ, OVB and Lg are H54a's records of those runs (Q1 item 2). + +HERE = os.path.dirname(os.path.abspath(__file__)) +H54A = os.path.join(HERE, "results", "2026-10-21", "H54a") +Q_N = 200 +Q_ORDER = ["R", "OVQ", "OVB", "Lg", "Vi"] +Q_ARMS = { + "R": dict(base="Vq", first=0, derive="hold2/B1g/deploy.yaml"), + "OVQ": dict(base="A1g", first=50, copy="hold3/A1g/deploy.yaml", h54a="hold3/A1g"), + "OVB": dict(base="A1o", first=50, copy="hold3/A1o/deploy.yaml", h54a="hold3/A1o"), + "Lg": dict(base="Lg", first=50, copy="hold2/Lg/deploy.yaml", h54a="hold2/Lg"), + "Vi": dict(base="Vi", first=0, derive="hold2/B1g/deploy.yaml", probe=True), +} +LOST = ("not_deliverable", "failed") # statuses of a hold in which the arm did not serve its turn + + +def q_render(arm, out, h54a=H54A): + a = Q_ARMS[arm] + if "copy" in a: + with open(os.path.join(h54a, a["copy"]), "rb") as f, open(out, "wb") as g: + g.write(f.read()) + return + import yaml + with open(os.path.join(h54a, a["derive"])) as f: + docs = derive_vllm(a["base"], [d for d in yaml.safe_load_all(f) if d]) + with open(out, "w") as f: + yaml.safe_dump_all(docs, f, sort_keys=False) + + +def holds(results): + """The hold numbers recorded under RESULTS_DIR, ascending.""" + out = [] + for d in glob.glob(os.path.join(results, "hold*")): + tail = os.path.basename(d)[4:] + if tail.isdigit(): + out.append(int(tail)) + return sorted(out) + + +def q_rows(path): + """(rows, discarded seqs) of one items.jsonl: the rows of finished requests, and the seqs a + `stopped` event discards.""" + rows, discard = [], set() + if not os.path.exists(path): + return rows, discard + with open(path) as f: + for line in f: + if not line.strip(): + continue + try: + r = json.loads(line) + except ValueError: + continue # a line cut by a kill; its item stays unanswered + if r.get("event") == "stopped": + discard.update(r.get("discard") or []) + elif "idx" in r: + rows.append(r) + return rows, discard + + +def q_state(results, arm, h54a=H54A): + """{idx: {"ok": True/False/None, "errors": n, "src": where}} over H54a's imported items and + every H54q hold. The first answer counts; a second error is a wrong answer (Q1 item 5).""" + a = Q_ARMS[arm] + st = {} + if a.get("h54a"): + for r in jload(os.path.join(h54a, a["h54a"], "quality.json"))["rows"]: + if r["idx"] < a["first"]: + st[r["idx"]] = {"ok": bool(r["ok"]), "errors": 0, "src": "H54a/" + a["h54a"]} + for h in holds(results): + rows, discard = q_rows(os.path.join(results, f"hold{h}", arm, "items.jsonl")) + for r in sorted(rows, key=lambda x: x.get("seq", 0)): + if r.get("seq") in discard or not (a["first"] <= r["idx"] < Q_N): + continue + s = st.setdefault(r["idx"], {"ok": None, "errors": 0, "src": None}) + if s["ok"] is not None: + continue + if r.get("error"): + s["errors"] += 1 + if s["errors"] >= 2: + s.update(ok=False, src=f"hold{h}", final_error=True) + else: + s.update(ok=bool(r["ok"]), src=f"hold{h}") + return st + + +def q_todo(results, arm, h54a=H54A): + """[(idx, errors so far)] still to ask: the items that errored once first, then the items not + asked yet, each in item order.""" + st = q_state(results, arm, h54a) + left = [(i, st.get(i, {}).get("errors", 0)) for i in range(Q_ARMS[arm]["first"], Q_N) + if st.get(i, {}).get("ok") is None] + return [x for x in left if x[1]] + [x for x in left if not x[1]] + + +def q_lost(results, arm): + """The number of holds in which ARM was not deliverable or failed.""" + n = 0 + for h in holds(results): + try: + if jload(os.path.join(results, f"hold{h}", arm, "status.json")).get("status") in LOST: + n += 1 + except (OSError, ValueError): + pass + return n + + +def q_plan(results, h54a=H54A): + """The arms the next hold runs, in Q1's order: every arm with items left, except an arm lost in + two holds (R3 carries a stopped arm once) and the probe-first Vi once it is lost.""" + return [a for a in Q_ORDER if q_todo(results, a, h54a) + and q_lost(results, a) < (1 if Q_ARMS[a].get("probe") else 2)] + + +def ready(url, model, timeout=300): + """The readiness check: the model list and a 16-token chat.""" + try: + with urllib.request.urlopen(url.rstrip("/") + "/models", timeout=10) as r: + r.read() + body = {"model": model, "max_tokens": 16, "messages": [{"role": "user", "content": "Say hello."}]} + req = urllib.request.Request(url.rstrip("/") + "/chat/completions", data=json.dumps(body).encode(), + headers={"Content-Type": "application/json"}) + with urllib.request.urlopen(req, timeout=timeout) as r: + r.read() + return True + except Exception: # noqa: BLE001 - any failure reads as not answering + return False + + +def q_ask(todo, out, stop, ask, probe, workers=16, stall_s=600, streak_max=16, probe_s=300, clock=time.time, + tick=0.5): + """Ask items `workers` in flight and append one JSON row per finished request to `out`. + + todo: [(item, errors so far)]. ask(item, timeout) returns (reply, usage) or raises; + probe(timeout) returns True when the server answers. No request starts at or after epoch `stop`; a request + still running then is cut and leaves no row, so its item stays unanswered. An item's first + error queues it once more at the back (Q1 item 5). The server is probed after `streak_max` + errors in a row, after `stall_s` s with requests in flight and none finishing, and when the + queue ends on an error, each probe given at most `probe_s` s and ending 5 s before `stop` (none + starts with less than 30 s left). A failed probe stops the arm: a `stopped` event discards the + run of errors that ended there, whose items stay unanswered.""" + def probe_by_stop(): + t = min(probe_s, stop - clock() - 5) + return None if t < 30 else probe(t) + + pending = collections.deque(todo) + lock = threading.Lock() + st = {"seq": 0, "inflight": 0, "last": clock(), "streak": [], "closed": False, "answered": 0, "errors": 0} + t_start = clock() + f = open(out, "a") + + def write(row): + f.write(json.dumps(row) + "\n") + f.flush() + + def work(it, prior): + t0 = clock() + try: + reply, usage = ask(it, max(1.0, min(1800.0, stop - t0))) + err = None + except Exception as e: # noqa: BLE001 - recorded per item + reply, usage, err = "", {}, f"{type(e).__name__}: {e}" + t1 = clock() + with lock: + st["inflight"] -= 1 + if st["closed"]: + return + st["seq"] += 1 + write({"seq": st["seq"], "idx": it["idx"], "ok": err is None and grade(reply, it["answer"]), + "gold": gold(it["answer"]), "reply": reply, "usage": usage, "error": err, "prior_errors": prior, + "t0": round(t0, 3), "t1": round(t1, 3), "s": round(t1 - t0, 2)}) + st["last"] = t1 + if err is None: + st["streak"] = [] + st["answered"] += 1 + else: + st["streak"].append(st["seq"]) + st["errors"] += 1 + if prior == 0: + pending.append((it, 1)) + + stopped, end = None, "queue empty" + while True: + now = clock() + with lock: + if now >= stop: + end = "item stop" + break + if not pending and st["inflight"] == 0: + break + while pending and st["inflight"] < workers: + it, prior = pending.popleft() + st["inflight"] += 1 + threading.Thread(target=work, args=(it, prior), daemon=True).start() + streak = len(st["streak"]) + stalled = st["inflight"] > 0 and now - st["last"] >= stall_s + if streak >= streak_max or stalled: + if probe_by_stop() is False: + stopped = f"{streak} errors in a row" if streak >= streak_max else f"no request finished in {stall_s} s" + break + with lock: + st["streak"] = [] + st["last"] = clock() + time.sleep(tick) + with lock: + trailing = bool(st["streak"]) + if stopped is None and end == "queue empty" and trailing and probe_by_stop() is False: + stopped = "the queue ended on an error" + with lock: + st["closed"] = True + if stopped: + write({"event": "stopped", "reason": f"{STOPPED}: {stopped}", "discard": st["streak"], "at": round(clock(), 3)}) + summary = {"todo": len(todo), "answered": st["answered"], "errors": st["errors"], + "discarded": len(st["streak"]) if stopped else 0, "cut": st["inflight"], + "not_asked": len({it["idx"] for it, _ in pending}), + "stopped": f"{STOPPED}: {stopped}" if stopped else None, "end": "stopped" if stopped else end, + "t0": round(t_start, 3), "t1": round(clock(), 3)} + f.close() + return summary + + +def q_items(url, model, results, arm, out, stop, h54a=H54A): + """One arm's turn in a hold: ask its q_todo items; write OUT/items.jsonl and OUT/q.json.""" + with open(os.path.join(HERE, "gsm8k-test-0-199.jsonl")) as f: + items = {r["idx"]: r for r in (json.loads(x) for x in f if x.strip())} + todo = [(items[i], e) for i, e in q_todo(results, arm, h54a)] + s = q_ask(todo, os.path.join(out, "items.jsonl"), stop, + ask=lambda it, t: chat(url, model, it["question"], timeout=t), probe=lambda t: ready(url, model, t)) + s["first_items"] = [it["idx"] for it, _ in todo[:20]] + s["status"] = "failed" if s["stopped"] else "measured" + s["reason"] = s["stopped"] or (f"{s['answered']} answered, {s['errors']} errored, {s['cut']} cut, " + f"{s['not_asked']} not asked ({s['end']})") + with open(os.path.join(out, "q.json"), "w") as f: + json.dump(s, f, indent=1) + return s + + +def paired_boot(d, n=10000, seed=1): + """95% percentile bootstrap CI of mean(d), resampling items, with H54a's percentile indices.""" + rng = random.Random(seed) + m = len(d) + means = sorted(sum(rng.choices(d, k=m)) / m for _ in range(n)) + return means[int(0.025 * n)], means[int(0.975 * n) - 1] + + +def score_q(results, h54a=H54A, n=10000, seed=1): + """The H54q row's two tests (OVQ - R, OVB - OVQ) and verdict, plus descriptive differences.""" + rep = {"arms": {}, "tests": {}, "descriptive": {}} + full = {} + for arm in Q_ORDER: + st = q_state(results, arm, h54a) + ans = {i: s["ok"] for i, s in st.items() if s["ok"] is not None} + rep["arms"][arm] = {"answered": len(ans), "correct": sum(ans.values()), + "accuracy": sum(ans.values()) / len(ans) if ans else None, + "not_answered": Q_N - len(ans), + "from_h54a": sum(1 for s in st.values() if str(s.get("src")).startswith("H54a")), + "wrong_by_error": sum(1 for s in st.values() if s.get("final_error")), + "lost_holds": q_lost(results, arm)} + if len(ans) == Q_N: + full[arm] = [int(ans[i]) for i in range(Q_N)] + + def test(a, b): + if a not in full or b not in full: + return {"missing": f"{' and '.join(x for x in (a, b) if x not in full)} did not answer all {Q_N} items"} + d = [x - y for x, y in zip(full[a], full[b])] + lo, hi = paired_boot(d, n, seed) + return {"n": Q_N, "diff": sum(d) / Q_N, "ci95": [lo, hi], + "a_only": sum(1 for x in d if x > 0), "b_only": sum(1 for x in d if x < 0)} + t1, t2 = test("OVQ", "R"), test("OVB", "OVQ") + rep["tests"] = {"OVQ-R": t1, "OVB-OVQ": t2} + for a, b in (("Lg", "R"), ("OVB", "R"), ("Vi", "R")): + rep["descriptive"][f"{a}-{b}"] = test(a, b) + ref = [] + if "ci95" in t1 and t1["ci95"][1] < -0.05: + ref.append("CI upper bound of OVQ - R < -0.05") + if "ci95" in t2 and t2["ci95"][0] > 0: + ref.append("CI lower bound of OVB - OVQ > 0") + if ref: + rep.update(verdict="REFUTED", reason="; ".join(ref)) + elif "ci95" in t1 and "ci95" in t2 and t1["ci95"][0] >= -0.05 and t2["ci95"][1] < 0: + rep.update(verdict="SUPPORTED", reason="CI lower bound of OVQ - R >= -0.05 and CI upper bound of OVB - OVQ < 0") + else: + missing = [k for k, t in rep["tests"].items() if "missing" in t] + rep.update(verdict="INCONCLUSIVE", + reason=("tests missing: " + ", ".join(missing)) if missing + else "neither the SUPPORTED bounds nor a REFUTED bound hold") + return rep + + def main(argv): if not argv: raise SystemExit(__doc__) @@ -546,6 +850,27 @@ def main(argv): print(" ".join(carry(a[0], int(a[1]), a[2:]))) elif cmd == "score-a": print(json.dumps(score_a(a[0]), indent=1)) + elif cmd == "q-base": + print(Q_ARMS[a[0]]["base"]) + elif cmd == "q-render": + q_render(a[0], a[1]) + elif cmd == "q-todo": + print(" ".join(f"{i}" + ("*" if e else "") for i, e in q_todo(a[0], a[1]))) + elif cmd == "q-items": + s = q_items(a[0], a[1], a[2], a[3], a[4], float(a[5])) + print(f"q-items {a[3]}: {s['reason']}") + return 3 if s["stopped"] else 0 + elif cmd == "q-smoke": + with open(os.path.join(HERE, "q-smoke.jsonl")) as f: + rows = [json.loads(x) for x in f if x.strip()] + s = q_ask([(r, 0) for r in rows], os.path.join(a[2], "smoke-items.jsonl"), float(a[3]), + ask=lambda it, t: chat(a[0], a[1], it["question"], timeout=t), probe=lambda t: ready(a[0], a[1], t)) + print(f"q-smoke: {json.dumps(s)}") + return 3 if s["stopped"] else 0 + elif cmd == "q-plan": + print(" ".join(q_plan(a[0]))) + elif cmd == "score-q": + print(json.dumps(score_q(a[0]), indent=1)) else: raise SystemExit(f"h54.py: unknown command {cmd}") return 0 diff --git a/bench/h54/hold.sh b/bench/h54/hold.sh index d9d08291..e9894ec3 100755 --- a/bench/h54/hold.sh +++ b/bench/h54/hold.sh @@ -15,6 +15,8 @@ HERE=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) REPO=$(cd "${HERE}/../.." && pwd) export REPO G case ${ROW} in smoke*) R=${G}/smoke/${ROW}/hold${HOLD} ;; *) R=${G}/results/H54${ROW}/hold${HOLD} ;; esac +# H54q's arms and its wiring smoke run arm.sh's item mode (amendment Q2). +case ${ROW} in q | smokeq) export H54Q=1 ;; esac mkdir -p "${R}" export PATH=${G}/h54a/bin:${G}/bin:${PATH} EAT=${G}/h54a/eat-src export CLUSTER=k3dgpu-g-h54${ROW}-${HOLD} KUBECONFIG=${R}/kubeconfig diff --git a/bench/h54/q-smoke.jsonl b/bench/h54/q-smoke.jsonl new file mode 100644 index 00000000..047b8938 --- /dev/null +++ b/bench/h54/q-smoke.jsonl @@ -0,0 +1,2 @@ +{"idx": 1000, "question": "A box holds 3 red pens and 4 blue pens. How many pens are in the box?", "answer": "3 + 4 = 7\n#### 7"} +{"idx": 1001, "question": "Sam has 10 apples and gives away 4. How many apples does Sam have left?", "answer": "10 - 4 = 6\n#### 6"} diff --git a/bench/h54/qcampaign.sh b/bench/h54/qcampaign.sh new file mode 100755 index 00000000..a9dde40e --- /dev/null +++ b/bench/h54/qcampaign.sh @@ -0,0 +1,25 @@ +#!/usr/bin/env bash +# qcampaign.sh [FIRST_HOLD]: H54q's holds from FIRST_HOLD (default 1) to 3 (amendment Q1's cap, +# runner amendment Q2). Before each hold, `h54.py q-plan` reads the records so far and names the +# arms with items left, in Q1's order R, OVQ, OVB, Lg, Vi; a hold runs them with hold.sh q. Items +# an arm has not answered stay at the front of its next turn. Stops early when no arm is left. +# Then not-run.txt (arms with items left after the cap) and score-q.json. +# shellcheck disable=SC2046 # the arm list splits into words on purpose +set -u +G=${HOME}/k3dgpu-gemma +H=$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd) +R=${G}/results/H54q +mkdir -p "${R}" +for h in $(seq "${1:-1}" 3); do + arms=$(python3 "${H}/h54.py" q-plan "${R}") + if [ -z "${arms}" ]; then + echo "== H54q: no arm has items left before hold ${h} $(date -u +%FT%TZ)" | tee -a "${G}/results/campaign.log" + break + fi + echo "${arms}" > "${R}/plan-hold${h}.txt" + bash "${H}/hold.sh" q "${h}" ${arms} +done +echo "arms with items left after the cap: $(python3 "${H}/h54.py" q-plan "${R}")" > "${R}/not-run.txt" +for a in R OVQ OVB Lg Vi; do echo "${a}: $(python3 "${H}/h54.py" q-todo "${R}" "${a}" | wc -w) items not answered" >> "${R}/not-run.txt"; done +python3 "${H}/h54.py" score-q "${R}" > "${R}/score-q.json" 2>&1 +echo "== H54q campaign done $(date -u +%FT%TZ)" | tee -a "${G}/results/campaign.log" diff --git a/bench/h54/qcheck.sh b/bench/h54/qcheck.sh new file mode 100644 index 00000000..8196f5ad --- /dev/null +++ b/bench/h54/qcheck.sh @@ -0,0 +1,69 @@ +#!/usr/bin/env bash +# qcheck.sh STEP: H54q's checks on crescent around its holds. Neither step is part of the +# protocol or the score; both are records. +# verify under the bench lock: the sha256 of every weight file H54q's arms load, against +# ~/k3dgpu-gemma/weights*.sha256 (the H54 pre-registration's list) and OVQ's +# manifest.json; writes results/H54q/weights-verify.txt +# frontdoor L a 16-token chat through Dynamo :8100 for each serving pair, passing when it +# answers with content and that pair's SGLang num_requests_total rises (180 s each, +# E2 item 7's check); writes results/H54q/frontdoor-L.txt. H54q uses no card and +# never stops a serving pair; this records that both still serve. +set -uo pipefail +G=${HOME}/k3dgpu-gemma +M=${G}/models +O=${G}/results/H54q +mkdir -p "${O}" +case ${1:?usage: qcheck.sh verify|frontdoor LABEL} in +verify) + exec 9> "${HOME}/k3dgpu-bench.lock" + flock -w 21600 9 || { echo "lock not taken in 21600 s"; exit 4; } + f=${O}/weights-verify.txt + { + date -u +%FT%TZ + # weights.sha256 names OVB's download directory; R1 renamed it to the Hub id's path. + sed 's# OpenVINO_gemma-4-26b-a4b-it-int4-ov/# OpenVINO/gemma-4-26b-a4b-it-int4-ov/#' "${G}/weights.sha256" \ + | (cd "${M}" && sha256sum -c -) + echo "weights.sha256 rc=$?" + (cd "${M}/Intel_gemma-4-26B-A4B-it-int4-AutoRound" && sha256sum -c "${G}/weights-autoround.sha256") + echo "weights-autoround.sha256 rc=$?" + python3 - "${M}/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov" <<'PY' +import hashlib, json, os, sys +d = sys.argv[1] +files = json.load(open(os.path.join(d, "manifest.json")))["files"] +bad = 0 +for n, want in sorted(files.items()): + h = hashlib.sha256() + with open(os.path.join(d, n), "rb") as f: + for chunk in iter(lambda: f.read(1 << 24), b""): + h.update(chunk) + ok = h.hexdigest() == want["sha256"] and os.path.getsize(os.path.join(d, n)) == want["bytes"] + bad += not ok + print(f"{'OK ' if ok else 'BAD'} OVQ {n} {h.hexdigest()[:16]} {want['bytes']}") +print(f"OVQ {d}: {len(files)} files, {bad} bad; not in the manifest: {sorted(set(os.listdir(d)) - set(files) - {'manifest.json'})}") +sys.exit(1 if bad else 0) +PY + echo "OVQ manifest rc=$?" + for d in google_gemma-4-26B-A4B-it-qat-q4_0-unquantized google_gemma-4-26B-A4B-it-qat-q4_0-gguf \ + OpenVINO/gemma-4-26b-a4b-it-int4-ov Intel_gemma-4-26B-A4B-it-int4-AutoRound; do + echo "${d} revision $(head -1 "${M}/${d}/.pinned-revision" 2>/dev/null || echo none)" + done + date -u +%FT%TZ + } > "${f}" 2>&1 + grep -E "rc=|FAILED|BAD|files," "${f}" ;; +frontdoor) + f=${O}/frontdoor-${2:?usage: qcheck.sh frontdoor LABEL}.txt + : > "${f}" + n() { curl -s -m 8 "http://127.0.0.1:$1/metrics" | awk '/^sglang:num_requests_total/{s+=$2} END{print s+0}'; } + for P in 30000 30001; do + b=$(n "${P}") end=$(( SECONDS + 180 )) ok=0 c="" + until [ "${SECONDS}" -ge "${end}" ]; do + c=$(curl -s -m 60 http://127.0.0.1:8100/v1/chat/completions -H 'Content-Type: application/json' \ + -d '{"model":"Qwen3.8-27B","messages":[{"role":"user","content":"Say OK"}],"max_tokens":16,"temperature":0,"chat_template_kwargs":{"enable_thinking":false}}' \ + | python3 -c 'import json,sys;print(json.load(sys.stdin)["choices"][0]["message"]["content"].strip())' 2>/dev/null) + if [ -n "${c}" ] && [ "$(n "${P}")" -gt "${b}" ]; then ok=1; break; fi + sleep 5 + done + echo "$(date -u +%FT%TZ) :${P} pass=${ok} before=${b} after=$(n "${P}") content=${c:-none}" | tee -a "${f}" + done ;; +*) echo "usage: qcheck.sh verify|frontdoor LABEL"; exit 2 ;; +esac diff --git a/bench/h54/reproduce.sh b/bench/h54/reproduce.sh index 9383a3bb..41d84f47 100644 --- a/bench/h54/reproduce.sh +++ b/bench/h54/reproduce.sh @@ -29,6 +29,14 @@ done echo "weights sha256:" cat "${G}"/weights*.sha256 2>/dev/null | sed 's/^/ /' echo "data: gsm8k-test-0-199.jsonl $(sha256sum "${HERE}/gsm8k-test-0-199.jsonl" | cut -c1-16) (openai/gsm8k main test @ 740312ad); ttft-prompt.txt $(sha256sum "${HERE}/ttft-prompt.txt" | cut -c1-16)" +if [ -n "${H54Q:-}" ]; then + echo "H54q manifests (h54.py q-render, amendment Q2), sha256:" + t=$(mktemp) + for a in R OVQ OVB Lg Vi; do + python3 "${HERE}/h54.py" q-render "${a}" "${t}" && echo " ${a}: $(sha256sum "${t}" | cut -c1-16)" + done + rm -f "${t}" +fi echo "engine flags (Lg, Lg-mtp, Sg as rendered; B1g/Vq/Vi/A1o/A1g/B3g in each arm's deploy.yaml):" python3 - "${HERE}" <<'EOF' import sys diff --git a/bench/h54/results/2026-10-29/H54q/campaign.log b/bench/h54/results/2026-10-29/H54q/campaign.log new file mode 100644 index 00000000..cca793e6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/campaign.log @@ -0,0 +1,18 @@ +== H54smokeq-hold1 waiting for the lock (arms: R OVQ Lg) 2026-10-29T19:40:54Z +== H54smokeq-hold1 lock taken 2026-10-29T19:40:54Z +== H54smokeq-hold1 start: R OVQ Lg 2026-10-29T19:40:55Z +== H54smokeq-hold1 rc=0; clusters deleted: k3dgpu-g-h54smokeq-1; now: 2026-10-29T19:45:48Z +== H54q-hold1 waiting for the lock (arms: R OVQ OVB Lg Vi) 2026-10-29T19:46:09Z +== H54q-hold1 lock taken 2026-10-29T19:46:09Z +== H54q-hold1 start: R OVQ OVB Lg Vi 2026-10-29T19:46:10Z +== H54q-hold1 rc=0; clusters deleted: k3dgpu-g-h54q-1; now: 2026-10-29T20:20:00Z +== H54q-hold2 waiting for the lock (arms: OVB Lg Vi) 2026-10-29T20:20:00Z +== H54q-hold2 lock taken 2026-10-29T20:20:10Z +== H54q-hold2 busy (load1 30.44, aiperf 0): waiting 120 s 2026-10-29T20:20:11Z +== H54q-hold2 start: OVB Lg Vi 2026-10-29T20:22:12Z +== H54q-hold2 rc=0; clusters deleted: k3dgpu-g-h54q-2; now: 2026-10-29T20:59:42Z +== H54q-hold3 waiting for the lock (arms: Vi) 2026-10-29T20:59:42Z +== H54q-hold3 lock taken 2026-10-29T20:59:42Z +== H54q-hold3 start: Vi 2026-10-29T20:59:44Z +== H54q-hold3 rc=0; clusters deleted: k3dgpu-g-h54q-3; now: 2026-10-29T21:15:39Z +== H54q campaign done 2026-10-29T21:15:39Z diff --git a/bench/h54/results/2026-10-29/H54q/frontdoor-post.txt b/bench/h54/results/2026-10-29/H54q/frontdoor-post.txt new file mode 100644 index 00000000..66b7d065 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/frontdoor-post.txt @@ -0,0 +1,2 @@ +2026-10-29T21:15:57Z :30000 pass=1 before=158 after=159 content=OK +2026-10-29T21:15:57Z :30001 pass=1 before=54 after=55 content=OK diff --git a/bench/h54/results/2026-10-29/H54q/frontdoor-pre.txt b/bench/h54/results/2026-10-29/H54q/frontdoor-pre.txt new file mode 100644 index 00000000..00f2a0d5 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/frontdoor-pre.txt @@ -0,0 +1,2 @@ +2026-10-29T19:37:01Z :30000 pass=1 before=157 after=158 content=OK +2026-10-29T19:37:01Z :30001 pass=1 before=52 after=53 content=OK diff --git a/bench/h54/results/2026-10-29/H54q/hold1/Lg/arm.log b/bench/h54/results/2026-10-29/H54q/hold1/Lg/arm.log new file mode 100644 index 00000000..670584b1 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/Lg/arm.log @@ -0,0 +1 @@ +2026-10-29T20:19:51Z Lg status not_reached: 259 s before the item stop (< 300) diff --git a/bench/h54/results/2026-10-29/H54q/hold1/Lg/status.json b/bench/h54/results/2026-10-29/H54q/hold1/Lg/status.json new file mode 100644 index 00000000..c7b06fe9 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/Lg/status.json @@ -0,0 +1 @@ +{"status": "not_reached", "reason": "259 s before the item stop (< 300)", "at": "2026-10-29T20:19:51Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVB/arm.log b/bench/h54/results/2026-10-29/H54q/hold1/OVB/arm.log new file mode 100644 index 00000000..0a92afd9 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVB/arm.log @@ -0,0 +1 @@ +2026-10-29T20:19:51Z OVB status not_reached: 259 s before the item stop (< 300) diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVB/status.json b/bench/h54/results/2026-10-29/H54q/hold1/OVB/status.json new file mode 100644 index 00000000..c7b06fe9 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVB/status.json @@ -0,0 +1 @@ +{"status": "not_reached", "reason": "259 s before the item stop (< 300)", "at": "2026-10-29T20:19:51Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/apply.log b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/apply.log new file mode 100644 index 00000000..32945d1d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/apply.log @@ -0,0 +1,3 @@ +namespace/k3d-gpu-agent created +deployment.apps/ovms created +service/ovms created diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/arm.log b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/arm.log new file mode 100644 index 00000000..099dc221 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/arm.log @@ -0,0 +1,5 @@ +2026-10-29T19:58:06Z OVQ start (1564 s before the item stop) +2026-10-29T19:58:40Z OVQ ready after 34 s +2026-10-29T19:58:40Z OVQ items: 150 to ask +q-items OVQ: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T20:19:34Z OVQ status measured: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/boot.json b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/boot.json new file mode 100644 index 00000000..acc87f9a --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/boot.json @@ -0,0 +1 @@ +{"apply": 1793303886, "ready": 1793303920, "boot_s": 34, "limit_s": 900} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/delete.log b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/delete.log new file mode 100644 index 00000000..5fc1527e --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/delete.log @@ -0,0 +1,7 @@ +namespace "k3d-gpu-agent" deleted +deployment.apps "ovms" deleted from k3d-gpu-agent namespace +service "ovms" deleted from k3d-gpu-agent namespace +No resources found +time="2026-10-29T20:19:39Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T20:19:39Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/deploy.yaml b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/deploy.yaml new file mode 100644 index 00000000..1b3adee2 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/deploy.yaml @@ -0,0 +1,87 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + initContainers: + - name: pull + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --pull + - --source_model=k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + - --model_repository_path=/models + - --model_name=gemma + - --task=text_generation + - --target_device=CPU + volumeMounts: + - name: models + mountPath: /models + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + - --model_name=gemma + - --cache_dir=/models/.ov_cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: '1' + memory: 6Gi + volumeMounts: + - name: models + mountPath: /models + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/describe.txt b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/describe.txt new file mode 100644 index 00000000..f8c54d26 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/describe.txt @@ -0,0 +1,99 @@ +Name: ovms-5756fcf584-2m9b4 +Namespace: k3d-gpu-agent +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54q-1-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 19:58:06 +0000 +Labels: app=ovms + pod-template-hash=5756fcf584 +Annotations: k3d-gpu.io/agent-device: CPU +Status: Running +IP: 10.42.0.10 +IPs: + IP: 10.42.0.10 +Controlled By: ReplicaSet/ovms-5756fcf584 +Init Containers: + pull: + Container ID: containerd://e947dd79bbf563647da68e1f4cd9f06d65cb9d6cf2cd91e9039cb106e4a2fe55 + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: + Host Port: + Args: + --pull + --source_model=k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + --model_repository_path=/models + --model_name=gemma + --task=text_generation + --target_device=CPU + State: Terminated + Reason: Completed + Exit Code: 0 + Started: Thu, 29 Oct 2026 19:58:18 +0000 + Finished: Thu, 29 Oct 2026 19:58:18 +0000 + Ready: True + Restart Count: 0 + Environment: + Mounts: + /models from models (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-xrt2k (ro) +Containers: + ovms: + Container ID: containerd://6707001b9d44e836a1c9afe425fc45154fa88bc9271932831973389647f1ed70 + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: 8000/TCP (http) + Host Port: 0/TCP (http) + Args: + --rest_port=8000 + --model_path=/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + --model_name=gemma + --cache_dir=/models/.ov_cache + --log_level=INFO + State: Running + Started: Thu, 29 Oct 2026 19:58:19 +0000 + Ready: True + Restart Count: 0 + Requests: + cpu: 1 + memory: 6Gi + Readiness: http-get http://:http/v2/health/ready delay=0s timeout=1s period=5s #success=1 #failure=3 + Environment: + Mounts: + /models from models (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-xrt2k (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + kube-api-access-xrt2k: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 21m default-scheduler Successfully assigned k3d-gpu-agent/ovms-5756fcf584-2m9b4 to k3d-k3dgpu-g-h54q-1-server-0 + Normal Pulling 21m kubelet spec.initContainers{pull}: Pulling image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" + Normal Pulled 21m kubelet spec.initContainers{pull}: Successfully pulled image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" in 12.095s (12.095s including waiting). Image size: 404902607 bytes. + Normal Created 21m kubelet spec.initContainers{pull}: Container created + Normal Started 21m kubelet spec.initContainers{pull}: Container started + Normal Pulled 21m kubelet spec.containers{ovms}: Container image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" already present on machine and can be accessed by the pod + Normal Created 21m kubelet spec.containers{ovms}: Container created + Normal Started 21m kubelet spec.containers{ovms}: Container started + Warning Unhealthy 21m kubelet spec.containers{ovms}: Readiness probe failed: Get "http://10.42.0.10:8000/v2/health/ready": dial tcp 10.42.0.10:8000: connect: connection refused + Warning Unhealthy 21m (x3 over 21m) kubelet spec.containers{ovms}: Readiness probe failed: HTTP probe failed with statuscode: 503 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/hello.json b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/hello.json new file mode 100644 index 00000000..ccb64144 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Hello! How can I help you today?","role":"assistant","tool_calls":[]}}],"created":1793303919,"model":"gemma","object":"chat.completion","usage":{"prompt_tokens":16,"completion_tokens":10,"total_tokens":26}} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/image.txt b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/image.txt new file mode 100644 index 00000000..5521c2bd --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/image.txt @@ -0,0 +1 @@ +openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/isa.txt b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/isa.txt new file mode 100644 index 00000000..7b8dec53 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/isa.txt @@ -0,0 +1,2 @@ +96 +96 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/items.jsonl b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/items.jsonl new file mode 100644 index 00000000..6886c576 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/items.jsonl @@ -0,0 +1,150 @@ +{"seq": 1, "idx": 59, "ok": true, "gold": "187", "reply": "To find the total number of raspberries, we need to calculate the number of raspberries in the clusters and then add the individual raspberries.\n\n1. **Calculate the raspberries in the clusters:**\n There are 6 clusters, and each cluster contains 20 fruit.\n $6 \\times 20 = 120$ raspberries.\n\n2. **Add the individual raspberries:**\n There are 67 individual raspberries scattered across the bush.\n $120 + 67 = 187$ raspberries.\n\nTotal number of raspberries = 187.\n\nAnswer: 187", "usage": {"prompt_tokens": 60, "completion_tokens": 133, "total_tokens": 193}, "error": null, "prior_errors": 0, "t0": 1793303921.042, "t1": 1793303978.292, "s": 57.25} +{"seq": 2, "idx": 55, "ok": true, "gold": "14", "reply": "To find out how many bags Jean can fill, follow these steps:\n\n1. **Find the number of remaining lollipops:**\n Jean starts with 30 lollipops and eats 2.\n $30 - 2 = 28$ lollipops remaining.\n\n2. **Calculate the number of bags:**\n Jean wants to put 2 lollipops in each bag. To find the number of bags, divide the remaining lollipops by the number of lollipops per bag.\n $28 \\div 2 = 14$\n\nJean can fill 14 bags.\n\nAnswer: 14", "usage": {"prompt_tokens": 75, "completion_tokens": 141, "total_tokens": 216}, "error": null, "prior_errors": 0, "t0": 1793303921.04, "t1": 1793303982.749, "s": 61.71} +{"seq": 3, "idx": 56, "ok": true, "gold": "3", "reply": "To find out how many times Peter can go to the movies, we first need to determine the total cost of one trip to the movies.\n\n1. **Calculate the cost per trip:**\n * Cost of a ticket: $7\n * Cost of popcorn: $7\n * Total cost per trip = $7 + $7 = $14\n\n2. **Calculate the number of trips Peter can afford:**\n * Total money available: $42\n * Cost per trip: $14\n * Number of trips = Total money / Cost per trip\n * Number of trips = $42 / $14\n\n3. **Perform the division:**\n * $42 \\div 14 = 3$\n\nPeter can go to the movies 3 times.\n\nAnswer: 3", "usage": {"prompt_tokens": 74, "completion_tokens": 185, "total_tokens": 259}, "error": null, "prior_errors": 0, "t0": 1793303921.04, "t1": 1793303998.603, "s": 77.56} +{"seq": 4, "idx": 61, "ok": true, "gold": "1430", "reply": "To find the total amount Janet paid, we need to calculate the cost of the materials, the construction, and the insurance.\n\n1. **Calculate the cost of materials and construction:**\n Material cost = $500\n Construction cost = $800\n Subtotal = $500 + $800 = $1,300\n\n2. **Calculate the insurance cost:**\n The insurance is 10% of the subtotal ($1,300).\n Insurance = 10% of $1,300\n Insurance = 0.10 * $1,300 = $130\n\n3. **Calculate the total amount paid:**\n Total = Subtotal + Insurance\n Total = $1,300 + $130 = $1,430\n\nAnswer: 1430", "usage": {"prompt_tokens": 88, "completion_tokens": 193, "total_tokens": 281}, "error": null, "prior_errors": 0, "t0": 1793303921.044, "t1": 1793304002.985, "s": 81.94} +{"seq": 5, "idx": 54, "ok": true, "gold": "40", "reply": "To find the total number of kittens the Doubtfire family now has, we need to sum the number of adopted kittens and the new kittens born to the two house cats.\n\n1. **Adopted kittens:** The sisters started with **7** kittens.\n2. **Patchy's kittens:** The problem states Patchy had thrice (3 times) the number of adopted kittens.\n $3 \\times 7 = 21$ kittens.\n3. **Trixie's kittens:** The problem states Trixie had **12** kittens.\n\nNow, we add all the kittens together:\nTotal kittens = (Adopted kittens) + (Patchy's kittens) + (Trixie's kittens)\nTotal kittens = $7 + 21 + 12$\n\nCalculation:\n$7 + 21 = 28$\n$28 + 12 = 40$\n\nThe Doubtfire family now has 40 kittens.\n\nAnswer: 40", "usage": {"prompt_tokens": 108, "completion_tokens": 218, "total_tokens": 326}, "error": null, "prior_errors": 0, "t0": 1793303921.039, "t1": 1793304013.134, "s": 92.09} +{"seq": 6, "idx": 50, "ok": true, "gold": "294", "reply": "To find out how much Lloyd makes on eggs per week, follow these steps:\n\n1. **Calculate the number of eggs produced per week:**\n Lloyd produces 252 eggs per day.\n There are 7 days in a week.\n $252 \\text{ eggs/day} \\times 7 \\text{ days/week} = 1,764 \\text{ eggs/week}$.\n\n2. **Convert the total number of eggs into dozens:**\n There are 12 eggs in a dozen.\n $1,764 \\text{ eggs} \\div 12 \\text{ eggs/dozen} = 147 \\text{ dozens}$.\n\n3. **Calculate the total revenue from selling the dozens:**\n Lloyd sells each dozen for $2.\n $147 \\text{ dozens} \\times \\$2/\\text{dozen} = \\$294$.\n\nLloyd makes $294 per week.\n\nAnswer: 294", "usage": {"prompt_tokens": 65, "completion_tokens": 220, "total_tokens": 285}, "error": null, "prior_errors": 0, "t0": 1793303921.037, "t1": 1793304013.947, "s": 92.91} +{"seq": 7, "idx": 60, "ok": true, "gold": "17", "reply": "To find the number of good oranges, we need to subtract the number of bad, unripe, and sour oranges from the total number of oranges.\n\n1. **Total number of oranges:** 25\n2. **Number of bad oranges:** 1\n3. **Number of unripe oranges:** 20% of 25\n $20\\% \\times 25 = 0.20 \\times 25 = 5$\n4. **Number of sour oranges:** 2\n\nNow, we sum the oranges that are not \"good\" (bad, unripe, and sour):\nTotal non-good oranges = Bad + Unripe + Sour\nTotal non-good oranges = $1 + 5 + 2 = 8$\n\nFinally, subtract the non-good oranges from the total number of oranges to find the number of good oranges:\nGood oranges = Total oranges - Total non-good oranges\nGood oranges = $25 - 8 = 17$\n\nAnswer: 17", "usage": {"prompt_tokens": 66, "completion_tokens": 220, "total_tokens": 286}, "error": null, "prior_errors": 0, "t0": 1793303921.043, "t1": 1793304016.706, "s": 95.66} +{"seq": 8, "idx": 51, "ok": true, "gold": "5", "reply": "To solve this problem, we need to determine the distance traveled and then calculate the time taken for the return trip.\n\n1. **Calculate the distance traveled:**\n * Tom sails from 1 PM to 4 PM.\n * The duration of the trip is $4 - 1 = 3$ hours.\n * His speed is 10 miles per hour.\n * $\\text{Distance} = \\text{Speed} \\times \\text{Time} = 10 \\text{ mph} \\times 3 \\text{ hours} = 30 \\text{ miles}$.\n\n2. **Calculate the time for the return trip:**\n * The distance to return is the same: 30 miles.\n * His return speed is 6 miles per hour.\n * $\\text{Time} = \\frac{\\text{Distance}}{\\text{Speed}} = \\frac{30 \\text{ miles}}{6 \\text{ mph}} = 5 \\text{ hours}$.\n\nIt takes him 5 hours to get back.\n\nAnswer: 5", "usage": {"prompt_tokens": 79, "completion_tokens": 239, "total_tokens": 318}, "error": null, "prior_errors": 0, "t0": 1793303921.038, "t1": 1793304023.711, "s": 102.67} +{"seq": 9, "idx": 65, "ok": true, "gold": "36", "reply": "To find the total number of hours Jim spends on TV and reading in 4 weeks, we can follow these steps:\n\n1. **Calculate the time spent on TV and reading in one session:**\n * Time spent watching TV: 2 hours.\n * Time spent reading: Half as long as TV time = $2 \\text{ hours} \\div 2 = 1 \\text{ hour}$.\n * Total time per session: $2 \\text{ hours (TV)} + 1 \\text{ hour (reading)} = 3 \\text{ hours}$.\n\n2. **Calculate the time spent per week:**\n * He does this 3 times a week.\n * Total time per week: $3 \\text{ sessions} \\times 3 \\text{ hours/session} = 9 \\text{ hours}$.\n\n3. **Calculate the total time for 4 weeks:**\n * Total time in 4 weeks: $4 \\text{ weeks} \\times 9 \\text{ hours/week} = 36 \\text{ hours}$.\n\nAnswer: 36", "usage": {"prompt_tokens": 76, "completion_tokens": 243, "total_tokens": 319}, "error": null, "prior_errors": 0, "t0": 1793303921.05, "t1": 1793304025.68, "s": 104.63} +{"seq": 10, "idx": 64, "ok": true, "gold": "300", "reply": "To find out how many miles Sophia can drive on a single tank of gas, we first need to determine her car's fuel efficiency in miles per gallon (MPG).\n\n1. **Calculate the fuel efficiency (MPG):**\n Sophia traveled 100 miles using 4 gallons of gas.\n $$\\text{MPG} = \\frac{\\text{Total Miles}}{\\text{Gallons Used}}$$\n $$\\text{MPG} = \\frac{100 \\text{ miles}}{4 \\text{ gallons}} = 25 \\text{ miles per gallon}$$\n\n2. **Calculate the total range on a full tank:**\n The owner's manual states that the tank holds 12 gallons of gas. To find the total distance she can drive on a full tank, multiply the tank capacity by the fuel efficiency.\n $$\\text{Total Distance} = \\text{Tank Capacity} \\times \\text{MPG}$$\n $$\\text{Total Distance} = 12 \\text{ gallons} \\times 25 \\text{ miles/gallon}$$\n $$\\text{Total Distance} = 300 \\text{ miles}$$\n\nSophia can drive 300 miles on a single tank of gas.\n\nAnswer: 300", "usage": {"prompt_tokens": 122, "completion_tokens": 274, "total_tokens": 396}, "error": null, "prior_errors": 0, "t0": 1793303921.049, "t1": 1793304039.286, "s": 118.24} +{"seq": 11, "idx": 63, "ok": true, "gold": "1596", "reply": "To calculate the total amount Aleena paid for the streaming service for the entire year, we break the year into two halves: the first six months and the last six months.\n\n**1. Calculate the cost for the first half of the year:**\nThe monthly charge is $140.\nThere are 6 months in the first half of the year.\nCost for the first half = $140 \\times 6 = \\$840$.\n\n**2. Calculate the monthly charge for the second half of the year:**\nThe company charges 10% less than the initial amount.\nReduction amount = 10% of $140 = 0.10 \\times 140 = \\$14$.\nNew monthly charge = $140 - 14 = \\$126$.\n\n**3. Calculate the cost for the second half of the year:**\nThere are 6 months in the second half of the year.\nCost for the second half = $126 \\times 6 = \\$756$.\n\n**4. Calculate the total amount paid for the year:**\nTotal amount = Cost for the first half + Cost for the second half\nTotal amount = $\\$840 + \\$756 = \\$1,596$.\n\nAnswer: 1596", "usage": {"prompt_tokens": 98, "completion_tokens": 282, "total_tokens": 380}, "error": null, "prior_errors": 0, "t0": 1793303921.047, "t1": 1793304041.302, "s": 120.26} +{"seq": 12, "idx": 62, "ok": true, "gold": "25000", "reply": "To find Marcy's annual pension after 30 years, we need to calculate the value based on the rules provided.\n\n1. **Identify the full pension amount:**\n If Marcy works for 40 years, her annual pension is $50,000.\n\n2. **Determine the entitlement rule:**\n Starting after 20 years, she becomes entitled to 5% of the value of the pension per year. This means for every year she works beyond the 20-year mark, she earns an additional 5% of the full pension amount.\n\n3. **Calculate the years of entitlement:**\n Marcy quits after 30 years.\n The years she is entitled to the bonus are: $30 \\text{ years} - 20 \\text{ years} = 10 \\text{ years}$.\n\n4. **Calculate the total percentage earned:**\n She earns 5% per year for 10 years.\n Total percentage = $10 \\times 5\\% = 50\\%$.\n\n5. **Calculate the final pension amount:**\n The pension is 50% of the full pension ($50,000).\n Pension = $0.50 \\times \\$50,000 = \\$25,000$.\n\nAnswer: 25000", "usage": {"prompt_tokens": 97, "completion_tokens": 297, "total_tokens": 394}, "error": null, "prior_errors": 0, "t0": 1793303921.046, "t1": 1793304047.718, "s": 126.67} +{"seq": 13, "idx": 58, "ok": true, "gold": "57", "reply": "To find the final price Stephen paid, we need to calculate each additional cost based on the initial bill and then sum them up.\n\n1. **Initial Bill:** The cost of the groceries is **$40.00**.\n2. **Vendor Fee:** The vendor added a 25% fee to the final total (the initial bill).\n $25\\% \\text{ of } \\$40.00 = 0.25 \\times 40 = \\$10.00$.\n3. **Delivery Fee:** The vendor charged a flat delivery fee of **$3.00**.\n4. **Tip:** Stephen added a tip of **$4.00**.\n\nNow, we add all these amounts together to find the final price:\n$\\text{Final Price} = \\text{Initial Bill} + \\text{Vendor Fee} + \\text{Delivery Fee} + \\text{Tip}$\n$\\text{Final Price} = \\$40.00 + \\$10.00 + \\$3.00 + \\$4.00$\n\nCalculating the sum:\n$40 + 10 = 50$\n$50 + 3 = 53$\n$53 + 4 = 57$\n\nThe final price of Stephen's groceries is $57.00.\n\nAnswer: 57.00", "usage": {"prompt_tokens": 113, "completion_tokens": 304, "total_tokens": 417}, "error": null, "prior_errors": 0, "t0": 1793303921.042, "t1": 1793304051.957, "s": 130.92} +{"seq": 14, "idx": 53, "ok": true, "gold": "40", "reply": "To find the difference in revenue between the two days, we need to calculate the total revenue for Thursday and Friday separately.\n\n**1. Calculate Thursday's revenue:**\nOn Thursday, the mechanic repairs 6 truck tires and 4 car tires.\n- Revenue from truck tires: $6 \\text{ tires} \\times \\$60/\\text{tire} = \\$360$\n- Revenue from car tires: $4 \\text{ tires} \\times \\$40/\\text{tire} = \\$160$\n- Total revenue for Thursday: $\\$360 + \\$160 = \\$520$\n\n**2. Calculate Friday's revenue:**\nOn Friday, the mechanic repairs 12 car tires and 0 truck tires.\n- Revenue from truck tires: $0 \\text{ tires} \\times \\$60/\\text{tire} = \\$0$\n- Revenue from car tires: $12 \\text{ tires} \\times \\$40/\\text{tire} = \\$480$\n- Total revenue for Friday: $\\$0 + \\$480 = \\$480$\n\n**3. Calculate the difference in revenue:**\nThe mechanic earned more on Thursday ($520) than on Friday ($480).\n- Difference: $\\$520 - \\$480 = \\$40$\n\nThe mechanic earned $40 more on the day with higher revenue.\n\nAnswer: 40", "usage": {"prompt_tokens": 130, "completion_tokens": 310, "total_tokens": 440}, "error": null, "prior_errors": 0, "t0": 1793303921.039, "t1": 1793304054.31, "s": 133.27} +{"seq": 15, "idx": 52, "ok": true, "gold": "15", "reply": "To find out how many toys Uriah needs to remove, we can follow these steps:\n\n1. **Calculate the total weight of the comic books removed:**\n Uriah removes 30 comic books, and each comic book weighs $\\frac{1}{4}$ pound.\n $$\\text{Weight of comic books} = 30 \\times \\frac{1}{4} = \\frac{30}{4} = 7.5 \\text{ pounds}$$\n\n2. **Determine the remaining weight that must be removed from the toys:**\n The total weight he needs to remove is 15 pounds. We subtract the weight of the comic books from the total weight.\n $$\\text{Weight to be removed from toys} = 15 - 7.5 = 7.5 \\text{ pounds}$$\n\n3. **Calculate the number of toys needed to reach that weight:**\n Each toy weighs $\\frac{1}{2}$ pound. To find the number of toys, we divide the remaining weight needed by the weight of one toy.\n $$\\text{Number of toys} = \\frac{7.5}{\\frac{1}{2}}$$\n Dividing by $\\frac{1}{2}$ is the same as multiplying by 2:\n $$\\text{Number of toys} = 7.5 \\times 2 = 15$$\n\nUriah needs to remove 15 toys.\n\nAnswer: 15", "usage": {"prompt_tokens": 92, "completion_tokens": 311, "total_tokens": 403}, "error": null, "prior_errors": 0, "t0": 1793303921.038, "t1": 1793304054.313, "s": 133.27} +{"seq": 16, "idx": 71, "ok": true, "gold": "60", "reply": "To find the total number of instructions Kelian has to read, we follow these steps:\n\n1. **Identify the number of instructions in the first recipe:**\n The first recipe has 20 instructions.\n\n2. **Calculate the number of instructions in the second recipe:**\n The second recipe has twice as many instructions as the first one.\n $20 \\times 2 = 40$ instructions.\n\n3. **Calculate the total number of instructions for both dishes:**\n Add the instructions from the first recipe and the second recipe together.\n $20 + 40 = 60$ instructions.\n\nAnswer: 60", "usage": {"prompt_tokens": 73, "completion_tokens": 143, "total_tokens": 216}, "error": null, "prior_errors": 0, "t0": 1793304014.07, "t1": 1793304075.5, "s": 61.43} +{"seq": 17, "idx": 69, "ok": true, "gold": "60", "reply": "To find out how much money Bailey started with, we can follow these steps:\n\n1. **Calculate the total amount of allowance received:**\n Bailey receives $5 per week for 8 weeks.\n Total allowance = $5/week $\\times$ 8 weeks = $40.\n\n2. **Set up an equation for the total amount:**\n Let $x$ be the amount of money Bailey started with.\n The total amount she has at the end is the starting amount plus the total allowance received.\n $x + 40 = 100$\n\n3. **Solve for $x$:**\n Subtract 40 from both sides of the equation:\n $x = 100 - 40$\n $x = 60$\n\nBailey started with $60.\n\nAnswer: 60", "usage": {"prompt_tokens": 80, "completion_tokens": 187, "total_tokens": 267}, "error": null, "prior_errors": 0, "t0": 1793304003.067, "t1": 1793304083.255, "s": 80.19} +{"seq": 18, "idx": 67, "ok": true, "gold": "595", "reply": "To find the total number of gems in the chest, we need to calculate the number of each type of gem and then sum them up.\n\n1. **Diamonds:**\n The problem states there are **175** diamonds.\n\n2. **Rubies:**\n There are 35 fewer rubies than diamonds.\n Rubies = 175 - 35 = **140**\n\n3. **Emeralds:**\n There are twice the number of emeralds as there are rubies.\n Emeralds = 140 * 2 = **280**\n\n4. **Total Gems:**\n To find the total, add the number of diamonds, rubies, and emeralds together:\n Total = 175 (diamonds) + 140 (rubies) + 280 (emeralds)\n\n Calculation:\n 175 + 140 = 315\n 315 + 280 = 595\n\nThe total number of gems in the chest is 595.\n\nAnswer: 595", "usage": {"prompt_tokens": 82, "completion_tokens": 247, "total_tokens": 329}, "error": null, "prior_errors": 0, "t0": 1793303983.062, "t1": 1793304087.931, "s": 104.87} +{"seq": 19, "idx": 66, "ok": true, "gold": "48", "reply": "To find the total number of people sent by the four schools, we can break down the number of people sent by a single school and then multiply by the total number of schools.\n\n**1. Calculate the number of people sent by one school:**\n* **Girls' basketball team:** 5 players + 1 coach = 6 people\n* **Boys' basketball team:** 5 players + 1 coach = 6 people\n* **Total per school:** 6 (girls' team) + 6 (boys' team) = 12 people\n\n**2. Calculate the total number of people for all four schools:**\n* **Number of schools:** 4\n* **Total people:** 12 people per school \u00d7 4 schools = 48 people\n\nAlternatively, we can calculate the total number of players and coaches separately:\n* **Total players:** 4 schools \u00d7 2 teams per school \u00d7 5 players per team = 40 players\n* **Total coaches:** 4 schools \u00d7 2 teams per school \u00d7 1 coach per team = 8 coaches\n* **Total people:** 40 + 8 = 48 people\n\nAnswer: 48", "usage": {"prompt_tokens": 87, "completion_tokens": 258, "total_tokens": 345}, "error": null, "prior_errors": 0, "t0": 1793303978.561, "t1": 1793304088.366, "s": 109.81} +{"seq": 20, "idx": 68, "ok": true, "gold": "36", "reply": "To find the number of teachers, we first need to determine the total number of students at the school.\n\n1. **Find the number of boys:**\n The problem states there are twice as many boys as girls.\n Number of girls = 60\n Number of boys = $60 \\times 2 = 120$\n\n2. **Find the total number of students:**\n Total students = Number of girls + Number of boys\n Total students = $60 + 120 = 180$\n\n3. **Find the number of teachers:**\n The problem states there are 5 students for every teacher. This means the ratio of students to teachers is 5:1.\n Number of teachers = Total students / Students per teacher\n Number of teachers = $180 / 5$\n\n4. **Perform the division:**\n $180 \\div 5 = 36$\n\nThere are 36 teachers.\n\nAnswer: 36", "usage": {"prompt_tokens": 67, "completion_tokens": 221, "total_tokens": 288}, "error": null, "prior_errors": 0, "t0": 1793303999.066, "t1": 1793304094.117, "s": 95.05} +{"seq": 21, "idx": 57, "ok": true, "gold": "83", "reply": "To find the maximum number of boxes that can be loaded onto the truck, we need to determine how much additional weight the truck can carry without exceeding the bridge's limit.\n\n1. **Identify the total weight limit of the bridge:**\n The bridge can carry a maximum of 5000 pounds.\n\n2. **Identify the weight of the truck and driver:**\n The combined weight of the driver and the empty truck is 3755 pounds.\n\n3. **Calculate the remaining weight capacity for the boxes:**\n Subtract the weight of the truck and driver from the total weight limit:\n $5000 - 3755 = 1245$ pounds.\n\n4. **Determine the weight of one box:**\n Each box weighs 15 pounds.\n\n5. **Calculate the maximum number of boxes:**\n Divide the remaining weight capacity by the weight of one box:\n $1245 \\div 15$\n\n Performing the division:\n $1245 / 15 = ?$\n $15 \\times 80 = 1200$\n $1245 - 1200 = 45$\n $15 \\times 3 = 45$\n So, $80 + 3 = 83$.\n\n6. **Verify the result:**\n If there are 83 boxes:\n $83 \\times 15 = 1245$\n $1245 + 3755 = 5000$ (This is exactly the limit).\n\nIf there were 84 boxes:\n$84 \\times 15 = 1260$\n$1260 + 3755 = 5015$ (This exceeds the limit).\n\nThe maximum number of boxes is 83.\n\nAnswer: 83", "usage": {"prompt_tokens": 107, "completion_tokens": 426, "total_tokens": 533}, "error": null, "prior_errors": 0, "t0": 1793303921.041, "t1": 1793304103.096, "s": 182.05} +{"seq": 22, "idx": 72, "ok": true, "gold": "221", "reply": "To find the total amount of money Tommy raises, we need to calculate the revenue from the brownies and the revenue from the cheesecakes separately, and then add them together.\n\n1. **Calculate the money from brownies:**\n Tommy sells 43 slices of brownies at $3 per slice.\n $43 \\times 3 = 129$\n So, he raises $129 from brownies.\n\n2. **Calculate the money from cheesecakes:**\n Tommy sells 23 slices of cheesecake at $4 per slice.\n $23 \\times 4 = 92$\n So, he raises $92 from cheesecakes.\n\n3. **Calculate the total amount raised:**\n Add the brownie revenue and the cheesecake revenue together.\n $129 + 92 = 221$\n\nTommy raises a total of $221.\n\nAnswer: 221", "usage": {"prompt_tokens": 75, "completion_tokens": 205, "total_tokens": 280}, "error": null, "prior_errors": 0, "t0": 1793304017.071, "t1": 1793304105.24, "s": 88.17} +{"seq": 23, "idx": 79, "ok": true, "gold": "70", "reply": "To find the total cost of the grooming, follow these steps:\n\n1. **Identify the original cost:** The original cost of the grooming is $100.\n2. **Calculate the discount amount:** The groomer offers a 30% discount.\n $100 \\times 0.30 = \\$30$\n3. **Subtract the discount from the original cost:**\n $\\$100 - \\$30 = \\$70$\n\nAlternatively, you can calculate the remaining percentage:\nIf the discount is 30%, John pays 70% of the original price.\n$100 \\times 0.70 = \\$70$\n\nAnswer: 70", "usage": {"prompt_tokens": 77, "completion_tokens": 156, "total_tokens": 233}, "error": null, "prior_errors": 0, "t0": 1793304054.582, "t1": 1793304121.048, "s": 66.47} +{"seq": 24, "idx": 73, "ok": true, "gold": "255", "reply": "To find out how much Shiela will pay each month, we need to calculate the total cost including interest and then divide it by the number of months.\n\n**1. Calculate the total cost of the cell phones without interest:**\nShiela bought 5 cell phones at $150 each.\nTotal cost = $5 \\times 150 = \\$750$\n\n**2. Calculate the total interest charged:**\nA 2% interest is charged on each unit (or on the total amount, the result is the same).\nTotal interest = $750 \\times 0.02 = \\$15$\n\n**3. Calculate the total amount to be paid (Principal + Interest):**\nTotal amount = $\\$750 + \\$15 = \\$765$\n\n**4. Calculate the monthly installment:**\nThe total amount is to be paid over 3 months.\nMonthly payment = $\\frac{\\$765}{3} = \\$255$\n\n**Alternative method (calculating per unit first):**\nCost per unit = $150\nInterest per unit = $150 \\times 0.02 = \\$3\nTotal cost per unit = $150 + $3 = $153\nTotal cost for 5 units = $153 \\times 5 = \\$765\nMonthly payment = $765 / 3 = \\$255\n\nAnswer: 255", "usage": {"prompt_tokens": 74, "completion_tokens": 312, "total_tokens": 386}, "error": null, "prior_errors": 0, "t0": 1793304024.073, "t1": 1793304155.711, "s": 131.64} +{"seq": 25, "idx": 81, "ok": true, "gold": "17", "reply": "To find out how many stickers Charlie has left, we need to follow the sequence of events:\n\n1. **Initial amount:** Charlie starts with **10** stickers.\n2. **Buying stickers:** He buys **21** stickers.\n $10 + 21 = 31$ stickers.\n3. **Birthday stickers:** He gets **23** stickers for his birthday.\n $31 + 23 = 54$ stickers.\n4. **Giving stickers away:** He gives **9** stickers to his sister.\n $54 - 9 = 45$ stickers.\n5. **Using stickers for a card:** He uses **28** stickers to decorate a card.\n $45 - 28 = 17$ stickers.\n\nCharlie has 17 stickers left.\n\nAnswer: 17", "usage": {"prompt_tokens": 88, "completion_tokens": 192, "total_tokens": 280}, "error": null, "prior_errors": 0, "t0": 1793304075.586, "t1": 1793304156.055, "s": 80.47} +{"seq": 26, "idx": 83, "ok": true, "gold": "600", "reply": "To find the total number of thorns, we need to multiply the number of rose bushes by the number of roses per bush, and then multiply that result by the number of thorns per rose.\n\n1. **Find the total number of roses:**\n There are 3 rose bushes, and each bush has 25 roses.\n $3 \\times 25 = 75$ roses.\n\n2. **Find the total number of thorns:**\n There are 75 roses, and each rose has 8 thorns.\n $75 \\times 8 = 600$ thorns.\n\nAlternatively, you can multiply all the numbers together:\n$3 \\times 25 \\times 8 = 75 \\times 8 = 600$.\n\nAnswer: 600", "usage": {"prompt_tokens": 59, "completion_tokens": 175, "total_tokens": 234}, "error": null, "prior_errors": 0, "t0": 1793304088.09, "t1": 1793304161.575, "s": 73.49} +{"seq": 27, "idx": 82, "ok": true, "gold": "623", "reply": "To find the combined weight of Grace and Alex, we follow these steps:\n\n1. **Identify Grace's weight:**\n Grace weighs 125 pounds.\n\n2. **Calculate Alex's weight:**\n The problem states that Alex weighs \"2 pounds less than 4 times what Grace weighs.\"\n First, calculate 4 times Grace's weight:\n $4 \\times 125 = 500$ pounds.\n Next, subtract 2 pounds from that amount:\n $500 - 2 = 498$ pounds.\n So, Alex weighs 498 pounds.\n\n3. **Calculate their combined weight:**\n Add Grace's weight and Alex's weight together:\n $125 + 498 = 623$ pounds.\n\nAnswer: 623", "usage": {"prompt_tokens": 59, "completion_tokens": 190, "total_tokens": 249}, "error": null, "prior_errors": 0, "t0": 1793304083.588, "t1": 1793304163.854, "s": 80.27} +{"seq": 28, "idx": 86, "ok": true, "gold": "22", "reply": "To find the total number of times the alarm rang, we calculate the duration of each of the three alarm instances:\n\n1. **First time:** The problem states the alarm rang **4** times.\n2. **Second time:** The alarm rang for three times as long as the first time.\n $4 \\times 3 = 12$ times.\n3. **Third time:** The alarm rang for half as long as the second time.\n $12 \\div 2 = 6$ times.\n\nTo find the total number of times the alarm rang in all, we add the three instances together:\n$4 + 12 + 6 = 22$\n\nAnswer: 22", "usage": {"prompt_tokens": 117, "completion_tokens": 156, "total_tokens": 273}, "error": null, "prior_errors": 0, "t0": 1793304103.594, "t1": 1793304169.135, "s": 65.54} +{"seq": 29, "idx": 74, "ok": true, "gold": "88", "reply": "To find out how much Artie will make, we first need to round each flower's price to the nearest dollar as per his decision.\n\n1. **Round the prices to the nearest dollar:**\n * Marigolds: $2.74 rounds to **$3.00** (since 0.74 is $\\ge$ 0.50).\n * Petunias: $1.87 rounds to **$2.00** (since 0.87 is $\\ge$ 0.50).\n * Begonias: $2.12 rounds to **$2.00** (since 0.12 is < 0.50).\n\n2. **Calculate the total for each type of flower based on the rounded prices:**\n * **Marigolds:** 12 pots $\\times$ $3.00 = $36.00\n * **Petunias:** 9 pots $\\times$ $2.00 = $18.00\n * **Begonias:** 17 pots $\\times$ $2.00 = $34.00\n\n3. **Calculate the total amount made:**\n * Total = $36.00 + $18.00 + $34.00\n * $36 + $18 = $54\n * $54 + $34 = $88\n\nArtie will make $88.\n\nAnswer: 88", "usage": {"prompt_tokens": 152, "completion_tokens": 342, "total_tokens": 494}, "error": null, "prior_errors": 0, "t0": 1793304026.074, "t1": 1793304171.392, "s": 145.32} +{"seq": 30, "idx": 70, "ok": true, "gold": "7425", "reply": "To find out how much money Judy makes in one week, we need to calculate the total number of classes she teaches and then multiply that by the revenue per class.\n\n**1. Calculate the number of classes taught in a week:**\n* **Weekdays (Monday to Friday):** There are 5 weekdays. She teaches 5 classes each day.\n $5 \\text{ days} \\times 5 \\text{ classes/day} = 25 \\text{ classes}$\n* **Saturday:** She teaches 8 classes.\n $1 \\text{ day} \\times 8 \\text{ classes/day} = 8 \\text{ classes}$\n* **Total classes per week:**\n $25 + 8 = 33 \\text{ classes}$\n\n**2. Calculate the revenue per class:**\n* Each class has 15 students.\n* Each student pays $15.00.\n* **Revenue per class:**\n $15 \\text{ students} \\times \\$15.00/\\text{student} = \\$225.00$\n\n**3. Calculate the total weekly revenue:**\n* **Total revenue:**\n $33 \\text{ classes} \\times \\$225.00/\\text{class}$\n\nTo make the multiplication easier:\n$33 \\times 225 = 33 \\times (200 + 25)$\n$33 \\times 200 = 6600$\n$33 \\times 25 = 825$\n$6600 + 825 = 7425$\n\nAlternatively:\n$33 \\times 225 = 7425$\n\nAnswer: 7425", "usage": {"prompt_tokens": 81, "completion_tokens": 394, "total_tokens": 475}, "error": null, "prior_errors": 0, "t0": 1793304013.569, "t1": 1793304181.64, "s": 168.07} +{"seq": 31, "idx": 77, "ok": true, "gold": "100", "reply": "To find the difference in the amount of laundry Raymond and David do, we first need to determine how much laundry each person does based on the information provided.\n\n1. **Identify Sarah's laundry amount:**\n Sarah does 400 pounds of laundry.\n\n2. **Calculate Raymond's laundry amount:**\n The problem states Raymond does half as much laundry as Sarah.\n $\\text{Raymond} = \\frac{1}{2} \\times \\text{Sarah}$\n $\\text{Raymond} = \\frac{1}{2} \\times 400 = 200 \\text{ pounds}$\n\n3. **Calculate David's laundry amount:**\n The problem states Sarah does 4 times as much laundry as David. This can be expressed as:\n $\\text{Sarah} = 4 \\times \\text{David}$\n To find David's amount, we divide Sarah's amount by 4:\n $\\text{David} = \\frac{\\text{Sarah}}{4}$\n $\\text{David} = \\frac{400}{4} = 100 \\text{ pounds}$\n\n4. **Calculate the difference between Raymond and David:**\n $\\text{Difference} = \\text{Raymond} - \\text{David}$\n $\\text{Difference} = 200 - 100 = 100 \\text{ pounds}$\n\nAnswer: 100", "usage": {"prompt_tokens": 74, "completion_tokens": 315, "total_tokens": 389}, "error": null, "prior_errors": 0, "t0": 1793304048.079, "t1": 1793304182.044, "s": 133.96} +{"seq": 32, "idx": 78, "ok": true, "gold": "6", "reply": "To find out how much Vincent saves, we first need to determine the cost of 18 flowers using each pricing option.\n\n**Option 1: Packages of 3 for $2.50**\n1. First, calculate how many packages of 3 are needed for 18 flowers:\n $18 \\div 3 = 6$ packages.\n2. Next, calculate the total cost for 6 packages:\n $6 \\times \\$2.50 = \\$15.00$.\n\n**Option 2: Packages of 2 for $1.00**\n1. First, calculate how many packages of 2 are needed for 18 flowers:\n $18 \\div 2 = 9$ packages.\n2. Next, calculate the total cost for 9 packages:\n $9 \\times \\$1.00 = \\$9.00$.\n\n**Comparison and Savings**\n1. Compare the two costs:\n Option 1 costs $15.00.\n Option 2 costs $9.00.\n2. The \"better price\" is Option 2 ($9.00).\n3. Calculate the savings by subtracting the better price from the more expensive price:\n $\\$15.00 - \\$9.00 = \\$6.00$.\n\nVincent saves $6.00 by choosing the better price.\n\nAnswer: 6", "usage": {"prompt_tokens": 71, "completion_tokens": 316, "total_tokens": 387}, "error": null, "prior_errors": 0, "t0": 1793304052.081, "t1": 1793304186.686, "s": 134.61} +{"seq": 33, "idx": 80, "ok": true, "gold": "10", "reply": "To find out how many liters of water were left, we follow these steps:\n\n1. **Calculate the amount of water each girl received:**\n Each girl got $\\frac{1}{6}$ of the 24 liters.\n $\\text{Amount per girl} = \\frac{1}{6} \\times 24 = 4 \\text{ liters}$.\n\n2. **Calculate the total amount of water received by both girls:**\n Since there are two girls:\n $\\text{Total for girls} = 4 \\text{ liters} + 4 \\text{ liters} = 8 \\text{ liters}$.\n\n3. **Calculate the total amount of water received by the boy:**\n The boy received 6 liters.\n\n4. **Calculate the total amount of water distributed:**\n $\\text{Total distributed} = \\text{Total for girls} + \\text{Total for boy}$\n $\\text{Total distributed} = 8 \\text{ liters} + 6 \\text{ liters} = 14 \\text{ liters}$.\n\n5. **Calculate the amount of water left:**\n Subtract the total distributed amount from the original amount.\n $\\text{Water left} = \\text{Original amount} - \\text{Total distributed}$\n $\\text{Water left} = 24 \\text{ liters} - 14 \\text{ liters} = 10 \\text{ liters}$.\n\nAnswer: 10", "usage": {"prompt_tokens": 64, "completion_tokens": 319, "total_tokens": 383}, "error": null, "prior_errors": 0, "t0": 1793304054.582, "t1": 1793304190.357, "s": 135.78} +{"seq": 34, "idx": 76, "ok": true, "gold": "5", "reply": "To find out how many bags of dog food Cecilia will use in the first year, we need to calculate the total amount of food consumed in 365 days (the standard length of a year).\n\n**Step 1: Calculate the food consumed in the first 180 days.**\nFor the first 180 days, the puppy eats 1 cup per day.\n$180 \\text{ days} \\times 1 \\text{ cup/day} = 180 \\text{ cups}$\n\n**Step 2: Calculate the food consumed for the remainder of the year.**\nA standard year has 365 days. The number of days remaining after the first 180 days is:\n$365 - 180 = 185 \\text{ days}$\nFor these 185 days, the puppy eats 2 cups per day.\n$185 \\text{ days} \\times 2 \\text{ cups/day} = 370 \\text{ cups}$\n\n**Step 3: Calculate the total amount of food consumed in the first year.**\nTotal cups = (Cups from first 180 days) + (Cups from remaining days)\n$180 + 370 = 550 \\text{ cups}$\n\n**Step 4: Calculate the number of bags needed.**\nOne bag contains 110 cups. To find the number of bags, divide the total cups by the cups per bag:\n$550 \\div 110 = 5$\n\nCecilia will use 5 bags of dog food in the first year.\n\nAnswer: 5", "usage": {"prompt_tokens": 114, "completion_tokens": 358, "total_tokens": 472}, "error": null, "prior_errors": 0, "t0": 1793304041.578, "t1": 1793304194.629, "s": 153.05} +{"seq": 35, "idx": 75, "ok": true, "gold": "60", "reply": "To find the average square footage of a level in the 4-leveled sandcastle, we first need to determine the square footage of each level.\n\n1. **Identify the levels:**\n The problem states there are 4 levels. We are given the square footage of the top level (Level 1) and told that each level has half the square footage of the level below it. This means as we go from the top down, the square footage doubles.\n\n2. **Calculate the square footage for each level:**\n * **Level 1 (Top):** 16 sq ft\n * **Level 2:** Since Level 1 is half of Level 2, Level 2 = $16 \\times 2 = 32$ sq ft.\n * **Level 3:** Since Level 2 is half of Level 3, Level 3 = $32 \\times 2 = 64$ sq ft.\n * **Level 4 (Bottom):** Since Level 3 is half of Level 4, Level 4 = $64 \\times 2 = 128$ sq ft.\n\n3. **Calculate the total square footage:**\n Total = $16 + 32 + 64 + 128$\n Total = $48 + 64 + 128$\n Total = $112 + 128$\n Total = $240$ sq ft.\n\n4. **Calculate the average square footage:**\n The average is the total square footage divided by the number of levels.\n Average = $\\frac{\\text{Total Square Footage}}{\\text{Number of Levels}}$\n Average = $\\frac{240}{4}$\n Average = $60$\n\nAnswer: 60", "usage": {"prompt_tokens": 95, "completion_tokens": 397, "total_tokens": 492}, "error": null, "prior_errors": 0, "t0": 1793304039.577, "t1": 1793304210.093, "s": 170.52} +{"seq": 36, "idx": 84, "ok": true, "gold": "15", "reply": "To solve this problem, we can use a system of simple algebraic equations.\n\nLet $W$ be the number of games won.\nLet $L$ be the number of games lost.\n\nWe are given two pieces of information:\n1. The total number of games played is 22:\n $W + L = 22$\n2. They won 8 more games than they lost:\n $W = L + 8$\n\nNow, we can substitute the second equation into the first equation:\n$(L + 8) + L = 22$\n\nCombine the like terms:\n$2L + 8 = 22$\n\nSubtract 8 from both sides:\n$2L = 22 - 8$\n$2L = 14$\n\nDivide by 2:\n$L = 7$\n\nNow that we know the number of games lost ($L = 7$), we can find the number of games won ($W$) using the second equation:\n$W = L + 8$\n$W = 7 + 8$\n$W = 15$\n\n**Check:**\nTotal games: $15 + 7 = 22$ (Correct)\nDifference: $15 - 7 = 8$ (Correct)\n\nAnswer: 15", "usage": {"prompt_tokens": 53, "completion_tokens": 288, "total_tokens": 341}, "error": null, "prior_errors": 0, "t0": 1793304088.59, "t1": 1793304212.679, "s": 124.09} +{"seq": 37, "idx": 85, "ok": false, "gold": "44", "reply": "To find the total number of quilt blocks, we need to determine how many years Gene has been vacationing and how many shirts (blocks) he has from those years.\n\n1. **Calculate the number of years Gene has been vacationing:**\n He started vacationing when he was 23 and he is now 34.\n To find the total number of years, we subtract the starting age from the current age and include the starting year:\n $34 - 23 = 11$ years passed.\n However, since he has been vacationing *since* he was 23, we count the years: 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, and 34.\n Counting these: $34 - 23 + 1 = 12$ years.\n\n2. **Calculate the number of vacations per year:**\n He goes on 4 vacations every year.\n\n3. **Calculate the total number of shirts (quilt blocks):**\n Since each shirt represents one vacation and each vacation is one quilt block, we multiply the number of years by the number of vacations per year:\n $12 \\text{ years} \\times 4 \\text{ vacations/year} = 48 \\text{ vacations}$.\n\nEach vacation results in one shirt, and each shirt is one quilt block. Therefore, he has 48 quilt blocks.\n\nAnswer: 48", "usage": {"prompt_tokens": 113, "completion_tokens": 341, "total_tokens": 454}, "error": null, "prior_errors": 0, "t0": 1793304094.592, "t1": 1793304241.318, "s": 146.73} +{"seq": 38, "idx": 88, "ok": true, "gold": "8000", "reply": "To find out how many copies Harald sold, we can set up an algebraic equation.\n\n1. **Define the variables:**\n Let $x$ be the number of copies Harald sold.\n Since Marilyn's record sold 10 times as many copies as Harald's, Marilyn sold $10x$ copies.\n\n2. **Set up the equation:**\n The total number of copies sold by both is 88,000.\n $x + 10x = 88,000$\n\n3. **Solve for $x$:**\n Combine the like terms:\n $11x = 88,000$\n\n Divide both sides by 11:\n $x = \\frac{88,000}{11}$\n $x = 8,000$\n\n4. **Verify the result:**\n If Harald sold 8,000 copies, then Marilyn sold $10 \\times 8,000 = 80,000$ copies.\n Combined, they sold $8,000 + 80,000 = 88,000$ copies. This matches the information given in the problem.\n\nAnswer: 8000", "usage": {"prompt_tokens": 69, "completion_tokens": 285, "total_tokens": 354}, "error": null, "prior_errors": 0, "t0": 1793304121.098, "t1": 1793304244.223, "s": 123.12} +{"seq": 39, "idx": 89, "ok": true, "gold": "24", "reply": "To find out how much Christina will spend, we need to calculate the number of gift bags she needs to prepare and then multiply that by the cost per bag.\n\n1. **Identify the number of invited guests:**\n Christina invited 16 friends.\n\n2. **Calculate the number of gift bags needed:**\n The problem states she needs 0.75 gift bags per invited guest (this accounts for the fact that 1/4 of attendees typically do not show up).\n Number of bags = $16 \\text{ guests} \\times 0.75 \\text{ bags/guest}$\n $16 \\times 0.75 = 12$ bags.\n\n3. **Calculate the total cost:**\n Each gift bag costs $2.\n Total cost = $12 \\text{ bags} \\times \\$2/\\text{bag}$\n Total cost = $24.\n\nChristina will spend $24.\n\nAnswer: 24", "usage": {"prompt_tokens": 79, "completion_tokens": 214, "total_tokens": 293}, "error": null, "prior_errors": 0, "t0": 1793304156.106, "t1": 1793304251.165, "s": 95.06} +{"seq": 40, "idx": 91, "ok": true, "gold": "28", "reply": "To find the total number of pets, we need to determine how many pets each person has based on the information provided.\n\n1. **Cindy's pets:** The problem states that Cindy has 4 pets.\n * Cindy = 4\n\n2. **Marcia's pets:** The problem states that Marcia has two more pets than Cindy.\n * Marcia = Cindy + 2\n * Marcia = 4 + 2 = 6\n\n3. **Jan's pets:** The problem states that Jan has three times the number of pets as Marcia.\n * Jan = 3 \u00d7 Marcia\n * Jan = 3 \u00d7 6 = 18\n\n4. **Total pets:** To find the total, we add the number of pets each person has.\n * Total = Jan + Marcia + Cindy\n * Total = 18 + 6 + 4\n * Total = 28\n\nAnswer: 28", "usage": {"prompt_tokens": 63, "completion_tokens": 216, "total_tokens": 279}, "error": null, "prior_errors": 0, "t0": 1793304161.608, "t1": 1793304257.397, "s": 95.79} +{"seq": 41, "idx": 96, "ok": true, "gold": "3", "reply": "To find out how many more hours Harry slept than James, we follow these steps:\n\n1. **Determine how many hours Harry slept:**\n Harry slept 9 hours.\n\n2. **Calculate how many hours James slept:**\n James slept $\\frac{2}{3}$ of what Harry slept.\n $\\text{James's sleep} = \\frac{2}{3} \\times 9$\n $\\text{James's sleep} = 2 \\times 3 = 6$ hours.\n\n3. **Calculate the difference between Harry's sleep and James's sleep:**\n $\\text{Difference} = \\text{Harry's sleep} - \\text{James's sleep}$\n $\\text{Difference} = 9 - 6 = 3$ hours.\n\nHarry slept 3 more hours than James.\n\nAnswer: 3", "usage": {"prompt_tokens": 61, "completion_tokens": 190, "total_tokens": 251}, "error": null, "prior_errors": 0, "t0": 1793304182.114, "t1": 1793304265.913, "s": 83.8} +{"seq": 42, "idx": 90, "ok": true, "gold": "225", "reply": "To find the total amount of potato salad Ted needs, we calculate the amount required for the adults and the children separately and then sum them.\n\n1. **Calculate the amount for adults:**\n * Each adult eats 10 lbs of potato salad.\n * There are 20 adults.\n * Total for adults = $20 \\text{ adults} \\times 10 \\text{ lbs/adult} = 200 \\text{ lbs}$.\n\n2. **Calculate the amount for children:**\n * A child eats half as much as an adult.\n * Amount per child = $10 \\text{ lbs} / 2 = 5 \\text{ lbs}$.\n * There are 5 children.\n * Total for children = $5 \\text{ children} \\times 5 \\text{ lbs/child} = 25 \\text{ lbs}$.\n\n3. **Calculate the total amount:**\n * Total amount = Total for adults + Total for children\n * Total amount = $200 \\text{ lbs} + 25 \\text{ lbs} = 225 \\text{ lbs}$.\n\nTed needs to bring 225 lbs of potato salad.\n\nAnswer: 225", "usage": {"prompt_tokens": 115, "completion_tokens": 281, "total_tokens": 396}, "error": null, "prior_errors": 0, "t0": 1793304156.106, "t1": 1793304279.876, "s": 123.77} +{"seq": 43, "idx": 87, "ok": true, "gold": "9360", "reply": "To find Sylvie's annual salary after three more years of service, we follow these steps:\n\n1. **Determine the initial monthly salary:**\n Sylvie's current monthly salary is $600.\n\n2. **Calculate the annual increase amount:**\n The policy states that employees who have stayed for five years receive an increase of 10% of their **initial** salary every year.\n Initial monthly salary = $600.\n Annual increase per month = 10% of $600 = $0.10 \\times 600 = $60.\n\n3. **Determine the timeline and number of increases:**\n - Sylvie just clocked 5 years last December.\n - We need to find her annual salary after **three more years** of service.\n - Since she has already completed 5 years, she is eligible for the increase.\n - After 1 more year (Year 6): Her monthly salary increases by $60.\n - After 2 more years (Year 7): Her monthly salary increases by another $60.\n - After 3 more years (Year 8): Her monthly salary increases by another $60.\n\n4. **Calculate the monthly salary after three more years:**\n Current monthly salary = $600.\n Total increase after 3 years = $60 \\times 3 = $180.\n New monthly salary = $600 + $180 = $780.\n\n5. **Calculate the annual salary:**\n Annual salary = Monthly salary $\\times$ 12 months.\n Annual salary = $780 \\times 12$.\n $780 \\times 10 = 7800$.\n $780 \\times 2 = 1560$.\n $7800 + 1560 = 9360$.\n\nAnswer: 9360", "usage": {"prompt_tokens": 108, "completion_tokens": 433, "total_tokens": 541}, "error": null, "prior_errors": 0, "t0": 1793304105.595, "t1": 1793304291.949, "s": 186.35} +{"seq": 44, "idx": 92, "ok": true, "gold": "4", "reply": "To find Jackson's age, we can use the information provided about each child's age.\n\n1. **Identify James's age:**\n The problem states that James is 10 years old.\n\n2. **Find Corey's age:**\n The problem states that James is 1 year younger than Corey.\n If James (10) is 1 year younger than Corey, then:\n Corey = James + 1\n Corey = 10 + 1 = 11\n\n3. **Find Amy's age:**\n The problem states that Amy is 2 years younger than Corey.\n Amy = Corey - 2\n Amy = 11 - 2 = 9\n\n4. **Find Jackson's age:**\n The problem states that Amy is 5 years older than Jackson.\n Amy = Jackson + 5\n 9 = Jackson + 5\n Jackson = 9 - 5\n Jackson = 4\n\n**Verification:**\n- James is 10.\n- Corey is 11 (James is 1 year younger than Corey: 10 is 11 - 1).\n- Amy is 9 (Amy is 2 years younger than Corey: 9 is 11 - 2).\n- Jackson is 4 (Amy is 5 years older than Jackson: 9 is 4 + 5).\n\nAll conditions are met.\n\nAnswer: 4", "usage": {"prompt_tokens": 80, "completion_tokens": 320, "total_tokens": 400}, "error": null, "prior_errors": 0, "t0": 1793304164.109, "t1": 1793304304.469, "s": 140.36} +{"seq": 45, "idx": 98, "ok": true, "gold": "5", "reply": "To find out how many cars drove through the traffic jam in the first 15 minutes, we can follow these steps:\n\n1. **Identify the total number of cars involved:** There were originally 30 cars on the motorway.\n2. **Account for the cars that left the line:** 5 cars took an exit and did not drive through the traffic jam.\n3. **Calculate the total number of cars that drove through the jam:**\n Total cars - Cars that exited = Cars that drove through the jam\n $30 - 5 = 25$ cars.\n4. **Identify the components of the cars that drove through the jam:**\n The cars that drove through the jam are split into two groups:\n - Group A: Cars that drove through in the first 15 minutes.\n - Group B: Cars that drove through in the remaining 15 minutes (given as 20 cars).\n5. **Calculate the number of cars in Group A:**\n Total cars through jam - Group B = Group A\n $25 - 20 = 5$ cars.\n\nTherefore, 5 cars drove through the traffic jam in the first 15 minutes.\n\nAnswer: 5", "usage": {"prompt_tokens": 124, "completion_tokens": 266, "total_tokens": 390}, "error": null, "prior_errors": 0, "t0": 1793304190.617, "t1": 1793304307.086, "s": 116.47} +{"seq": 46, "idx": 99, "ok": true, "gold": "58", "reply": "To find out how many potted plants Mary will have left, we can follow these steps:\n\n1. **Calculate the number of plants Mary already had:**\n She has 40 window ledges, and each ledge has 2 plants.\n $40 \\text{ ledges} \\times 2 \\text{ plants/ledge} = 80 \\text{ plants}$.\n\n2. **Calculate the total number of plants Mary has now:**\n She received 18 new plants yesterday.\n $80 \\text{ (existing plants)} + 18 \\text{ (new plants)} = 98 \\text{ plants}$.\n\n3. **Calculate how many plants she will give away:**\n She will give 1 plant from each of her 40 ledges.\n $40 \\text{ ledges} \\times 1 \\text{ plant/ledge} = 40 \\text{ plants}$.\n\n4. **Calculate the remaining number of plants:**\n Subtract the plants she gives away from her total.\n $98 \\text{ (total plants)} - 40 \\text{ (given away)} = 58 \\text{ plants}$.\n\nAnswer: 58", "usage": {"prompt_tokens": 106, "completion_tokens": 266, "total_tokens": 372}, "error": null, "prior_errors": 0, "t0": 1793304195.118, "t1": 1793304311.876, "s": 116.76} +{"seq": 47, "idx": 105, "ok": true, "gold": "20", "reply": "To find the total number of cookies eaten by Cody and Amir, we follow these steps:\n\n1. **Identify how many cookies Amir eats:**\n Amir eats 5 cookies.\n\n2. **Calculate how many cookies Cody eats:**\n Cody eats three times as many cookies as Amir.\n $3 \\times 5 = 15$ cookies.\n\n3. **Calculate the total number of cookies eaten by both:**\n Total = (Cookies eaten by Amir) + (Cookies eaten by Cody)\n Total = $5 + 15 = 20$ cookies.\n\nAnswer: 20", "usage": {"prompt_tokens": 60, "completion_tokens": 135, "total_tokens": 195}, "error": null, "prior_errors": 0, "t0": 1793304257.633, "t1": 1793304317.607, "s": 59.97} +{"seq": 48, "idx": 101, "ok": true, "gold": "6", "reply": "To find out how many pages Solo needs to read on average per day, we first need to calculate the total number of pages he has to read and then determine how many pages are left after Monday.\n\n**Step 1: Calculate the total number of pages to be read.**\n- Science: 4 pages\n- Social Studies: 20 pages\n- History: 7 pages\n- Geography: 8 pages\n\nTotal pages = $4 + 20 + 7 + 8 = 39$ pages.\n\n**Step 2: Calculate the remaining pages after Monday.**\nSolo read 15 pages on Monday.\nRemaining pages = Total pages - Pages read on Monday\nRemaining pages = $39 - 15 = 24$ pages.\n\n**Step 3: Calculate the average number of pages per day for the remaining days.**\nSolo has 4 more days to complete the remaining 24 pages.\nAverage per day = Remaining pages / Remaining days\nAverage per day = $24 / 4 = 6$ pages.\n\nSolo needs to read 6 pages per day on average.\n\nAnswer: 6", "usage": {"prompt_tokens": 106, "completion_tokens": 242, "total_tokens": 348}, "error": null, "prior_errors": 0, "t0": 1793304213.122, "t1": 1793304320.082, "s": 106.96} +{"seq": 49, "idx": 97, "ok": true, "gold": "12", "reply": "To find out how many tomatoes Freda used, we can follow these steps:\n\n1. **Determine the volume of canned tomatoes used:**\n Freda's sauce is made from canned tomatoes. We are told that when she cooks them, they lose half their volume.\n Let $V_{tomatoes}$ be the volume of the canned tomatoes used.\n The volume of the sauce produced is $\\frac{1}{2} \\times V_{tomatoes}$.\n We know the sauce produced is 32 ounces.\n $\\frac{1}{2} \\times V_{tomatoes} = 32$ ounces\n $V_{tomatoes} = 32 \\times 2 = 64$ ounces.\n\n2. **Determine the number of cans used:**\n Each can contains 16 ounces of tomatoes.\n Number of cans = $\\frac{\\text{Total volume of tomatoes}}{\\text{Volume per can}}$\n Number of cans = $\\frac{64 \\text{ ounces}}{16 \\text{ ounces/can}} = 4$ cans.\n\n3. **Determine the number of tomatoes used:**\n Each 16-ounce can contains 3 tomatoes.\n Total tomatoes = Number of cans $\\times$ Tomatoes per can\n Total tomatoes = $4 \\text{ cans} \\times 3 \\text{ tomatoes/can} = 12$ tomatoes.\n\nAnswer: 12", "usage": {"prompt_tokens": 84, "completion_tokens": 310, "total_tokens": 394}, "error": null, "prior_errors": 0, "t0": 1793304187.115, "t1": 1793304324.706, "s": 137.59} +{"seq": 50, "idx": 94, "ok": true, "gold": "348", "reply": "To find the total number of pets in the neighborhood, we need to determine the number of dogs, cats, and rabbits.\n\n1. **Find the number of dogs:**\n The problem states there are 60 dogs.\n $\\text{Dogs} = 60$\n\n2. **Find the number of cats:**\n The problem states there are two cats for every dog.\n $\\text{Cats} = 2 \\times \\text{Dogs} = 2 \\times 60 = 120$\n\n3. **Find the combined number of dogs and cats:**\n $\\text{Dogs} + \\text{Cats} = 60 + 120 = 180$\n\n4. **Find the number of rabbits:**\n The number of rabbits is twelve less than the combined number of dogs and cats.\n $\\text{Rabbits} = (\\text{Dogs} + \\text{Cats}) - 12$\n $\\text{Rabbits} = 180 - 12 = 168$\n\n5. **Find the total number of pets:**\n The total number of pets is the sum of dogs, cats, and rabbits.\n $\\text{Total} = \\text{Dogs} + \\text{Cats} + \\text{Rabbits}$\n $\\text{Total} = 60 + 120 + 168$\n $\\text{Total} = 180 + 168 = 348$\n\nAnswer: 348", "usage": {"prompt_tokens": 80, "completion_tokens": 346, "total_tokens": 426}, "error": null, "prior_errors": 0, "t0": 1793304171.611, "t1": 1793304324.717, "s": 153.11} +{"seq": 51, "idx": 95, "ok": true, "gold": "40", "reply": "To find the number of girls who are not in the Girl Scout, we follow these steps:\n\n1. **Find the number of boys:**\n The total number of students is 200.\n The fraction of boys is $\\frac{2}{5}$.\n Number of boys = $200 \\times \\frac{2}{5} = 40 \\times 2 = 80$.\n\n2. **Find the number of girls:**\n The number of girls is the total number of students minus the number of boys.\n Number of girls = $200 - 80 = 120$.\n\n3. **Find the number of girls in the Girl Scout:**\n $\\frac{2}{3}$ of the girls are in the Girl Scout.\n Number of girls in Girl Scout = $120 \\times \\frac{2}{3} = 40 \\times 2 = 80$.\n\n4. **Find the number of girls not in the Girl Scout:**\n Subtract the number of girls in the Girl Scout from the total number of girls.\n Number of girls not in Girl Scout = $120 - 80 = 40$.\n\n *Alternatively:*\n If $\\frac{2}{3}$ of the girls are in the Girl Scout, then $1 - \\frac{2}{3} = \\frac{1}{3}$ of the girls are not in the Girl Scout.\n Number of girls not in Girl Scout = $120 \\times \\frac{1}{3} = 40$.\n\nAnswer: 40", "usage": {"prompt_tokens": 71, "completion_tokens": 351, "total_tokens": 422}, "error": null, "prior_errors": 0, "t0": 1793304182.114, "t1": 1793304338.335, "s": 156.22} +{"seq": 52, "idx": 100, "ok": true, "gold": "175", "reply": "To find the total number of doorbell rings, we need to calculate the number of times each of the four friends pressed the doorbell and then sum them up.\n\n1. **First friend:** The problem states the first friend pressed the doorbell **20 times**.\n\n2. **Second friend:** The second friend pressed the doorbell $1/4$ times more than the first friend.\n * $1/4$ of the first friend's presses = $\\frac{1}{4} \\times 20 = 5$.\n * Total for the second friend = $20 + 5 = \\mathbf{25}$ **times**.\n\n3. **Fourth friend:** The problem states the fourth friend pressed the doorbell **60 times**.\n\n4. **Third friend:** The third friend pressed the doorbell 10 times more than the fourth friend.\n * Total for the third friend = $60 + 10 = \\mathbf{70}$ **times**.\n\n5. **Total doorbell rings:** Now, we add the presses from all four friends together:\n * First friend: 20\n * Second friend: 25\n * Third friend: 70\n * Fourth friend: 60\n\n Total = $20 + 25 + 70 + 60$\n Total = $45 + 70 + 60$\n Total = $115 + 60$\n Total = $175$\n\nAnswer: 175", "usage": {"prompt_tokens": 119, "completion_tokens": 338, "total_tokens": 457}, "error": null, "prior_errors": 0, "t0": 1793304210.121, "t1": 1793304359.239, "s": 149.12} +{"seq": 53, "idx": 102, "ok": true, "gold": "26", "reply": "To find the total number of glasses of water John drinks in a week, we need to calculate his consumption for weekdays and weekends separately.\n\n**1. Weekdays (Monday through Friday):**\nJohn drinks water at:\n- Breakfast (1 glass)\n- Lunch (1 glass)\n- Dinner (1 glass)\n- Before bed (1 glass)\n\nTotal per weekday = $1 + 1 + 1 + 1 = 4$ glasses.\nThere are 5 weekdays in a week.\nTotal for weekdays = $5 \\text{ days} \\times 4 \\text{ glasses/day} = 20$ glasses.\n\n**2. Weekends (Saturday and Sunday):**\nJohn drinks water at:\n- Breakfast (1 glass)\n- Lunch (1 glass)\n- Dinner (He drinks a soda instead, so 0 glasses of water)\n- Before bed (1 glass)\n\nTotal per weekend day = $1 + 1 + 0 + 1 = 3$ glasses.\nThere are 2 weekend days in a week.\nTotal for weekends = $2 \\text{ days} \\times 3 \\text{ glasses/day} = 6$ glasses.\n\n**3. Total for the week:**\nTotal glasses = $20 \\text{ (weekdays)} + 6 \\text{ (weekends)} = 26$ glasses.\n\nAnswer: 26", "usage": {"prompt_tokens": 94, "completion_tokens": 303, "total_tokens": 397}, "error": null, "prior_errors": 0, "t0": 1793304241.628, "t1": 1793304375.083, "s": 133.45} +{"seq": 54, "idx": 103, "ok": true, "gold": "140", "reply": "To find out how many minutes it will take for the fog bank to cover the whole city, we can follow these steps:\n\n1. **Identify the rate of coverage:** The fog bank covers 3 miles every 10 minutes.\n2. **Determine the total distance to be covered:** The city is 42 miles across.\n3. **Calculate how many 3-mile segments are in the city:**\n Divide the total distance by the distance covered in one interval:\n $42 \\text{ miles} \\div 3 \\text{ miles} = 14 \\text{ segments}$\n4. **Calculate the total time:**\n Since each 3-mile segment takes 10 minutes, multiply the number of segments by the time per segment:\n $14 \\text{ segments} \\times 10 \\text{ minutes/segment} = 140 \\text{ minutes}$\n\nAlternatively, you can find the rate per mile:\nRate = $10 \\text{ minutes} / 3 \\text{ miles} = \\frac{10}{3} \\text{ minutes per mile}$.\nTotal time = $42 \\text{ miles} \\times \\frac{10}{3} \\text{ minutes/mile} = 14 \\times 10 = 140 \\text{ minutes}$.\n\nAnswer: 140", "usage": {"prompt_tokens": 93, "completion_tokens": 301, "total_tokens": 394}, "error": null, "prior_errors": 0, "t0": 1793304244.629, "t1": 1793304377.943, "s": 133.31} +{"seq": 55, "idx": 109, "ok": true, "gold": "28", "reply": "To find the total cost of the gas after the cashback rewards, follow these steps:\n\n1. **Calculate the initial cost of the gas:**\n The gas costs $3.00 per gallon.\n For 10 gallons: $10 \\times \\$3.00 = \\$30.00$.\n\n2. **Calculate the total cashback amount:**\n The app offers $0.20 cashback per gallon.\n For 10 gallons: $10 \\times \\$0.20 = \\$2.00$.\n\n3. **Calculate the final cost after cashback:**\n Subtract the total cashback from the initial cost.\n $\\$30.00 - \\$2.00 = \\$28.00$.\n\nAnswer: 28.00", "usage": {"prompt_tokens": 88, "completion_tokens": 174, "total_tokens": 262}, "error": null, "prior_errors": 0, "t0": 1793304304.644, "t1": 1793304383.026, "s": 78.38} +{"seq": 56, "idx": 113, "ok": true, "gold": "25", "reply": "To find the total number of flowers Ryan has, we follow these steps:\n\n1. **Calculate the total number of flowers planted:**\n Ryan plants 2 flowers every day for 15 days.\n $2 \\text{ flowers/day} \\times 15 \\text{ days} = 30 \\text{ flowers planted.}$\n\n2. **Subtract the flowers that did not grow:**\n Out of the 30 flowers planted, 5 did not grow.\n $30 \\text{ flowers} - 5 \\text{ flowers} = 25 \\text{ flowers.}$\n\nRyan has 25 flowers.\n\nAnswer: 25", "usage": {"prompt_tokens": 59, "completion_tokens": 146, "total_tokens": 205}, "error": null, "prior_errors": 0, "t0": 1793304320.149, "t1": 1793304385.066, "s": 64.92} +{"seq": 57, "idx": 112, "ok": true, "gold": "24", "reply": "To find the total number of times the whiteboard is cleaned in a day, we can follow these steps:\n\n1. **Determine the total number of lessons per day:**\n There are 4 teachers, and each teacher has 2 lessons per day.\n Total lessons = $4 \\text{ teachers} \\times 2 \\text{ lessons/teacher} = 8 \\text{ lessons per day}$.\n\n2. **Determine the number of times the whiteboard is cleaned per lesson:**\n The problem states the whiteboard is cleaned 3 times per lesson.\n\n3. **Calculate the total number of cleanings per day:**\n Total cleanings = (Total lessons per day) $\\times$ (Cleanings per lesson)\n Total cleanings = $8 \\text{ lessons} \\times 3 \\text{ cleanings/lesson} = 24 \\text{ cleanings}$.\n\nAnswer: 24", "usage": {"prompt_tokens": 87, "completion_tokens": 196, "total_tokens": 283}, "error": null, "prior_errors": 0, "t0": 1793304317.648, "t1": 1793304404.186, "s": 86.54} +{"seq": 58, "idx": 110, "ok": true, "gold": "45", "reply": "To find the average number of fruit roll-ups eaten by Marcell and Beatrice, we first need to calculate the total number of roll-ups each person ate.\n\n1. **Calculate Beatrice's total roll-ups:**\n Beatrice's roll-ups were 2 wide and 24 long.\n Total for Beatrice = $2 \\times 24 = 48$ roll-ups.\n\n2. **Calculate Marcell's total roll-ups:**\n Marcell's roll-ups were 3 wide and 14 long.\n Total for Marcell = $3 \\times 14 = 42$ roll-ups.\n\n3. **Calculate the sum of their roll-ups:**\n Total sum = $48 + 42 = 90$ roll-ups.\n\n4. **Calculate the average:**\n The average is the total sum divided by the number of people (2).\n Average = $90 / 2 = 45$.\n\nAnswer: 45", "usage": {"prompt_tokens": 119, "completion_tokens": 225, "total_tokens": 344}, "error": null, "prior_errors": 0, "t0": 1793304307.145, "t1": 1793304407.607, "s": 100.46} +{"seq": 59, "idx": 107, "ok": true, "gold": "3", "reply": "To find out how many 30-minute episodes Frankie watched on Wednesday, we need to calculate the total time he spent watching TV on the other days and subtract that from the total of 7 hours.\n\n1. **Monday:** 1 hour\n2. **Tuesday:** 1 hour\n3. **Thursday:** 1 hour + 30 minutes = 1.5 hours\n4. **Friday:** 2 $\\times$ 1 hour = 2 hours\n\nNow, add the time spent on these days:\n$1 + 1 + 1.5 + 2 = 5.5$ hours.\n\nThe total time Frankie watched TV in the week was 7 hours. We subtract the time from Monday, Tuesday, Thursday, and Friday from the total:\n$7 \\text{ hours} - 5.5 \\text{ hours} = 1.5 \\text{ hours}$.\n\nThis 1.5 hours is the time he spent watching the 30-minute show on Wednesday.\n\nSince each episode on Wednesday was 30 minutes (0.5 hours), we divide the total time for Wednesday by the length of one episode:\n$1.5 \\text{ hours} \\div 0.5 \\text{ hours/episode} = 3 \\text{ episodes}$.\n\nAnswer: 3", "usage": {"prompt_tokens": 150, "completion_tokens": 286, "total_tokens": 436}, "error": null, "prior_errors": 0, "t0": 1793304280.138, "t1": 1793304407.619, "s": 127.48} +{"seq": 60, "idx": 106, "ok": true, "gold": "72", "reply": "To find the total inner volume of all 3 boxes, we first need to determine the inner dimensions of a single box.\n\n1. **Identify the outer dimensions of one box:**\n Length ($L$) = 5 inches\n Width ($W$) = 6 inches\n Height ($H$) = 4 inches\n\n2. **Determine the thickness of the walls:**\n The walls are 1 inch thick. This thickness applies to every side of the box.\n\n3. **Calculate the inner dimensions of one box:**\n To find the inner dimension, we must subtract the thickness of the walls from both sides of each dimension (left/right, front/back, top/bottom).\n Inner Length ($l$) = $5 - (1 + 1) = 5 - 2 = 3$ inches\n Inner Width ($w$) = $6 - (1 + 1) = 6 - 2 = 4$ inches\n Inner Height ($h$) = $4 - (1 + 1) = 4 - 2 = 2$ inches\n\n4. **Calculate the inner volume of one box:**\n $\\text{Volume} = l \\times w \\times h$\n $\\text{Volume} = 3 \\times 4 \\times 2 = 24$ cubic inches\n\n5. **Calculate the total inner volume for all 3 boxes:**\n $\\text{Total Volume} = 3 \\times 24 = 72$ cubic inches\n\nAnswer: 72", "usage": {"prompt_tokens": 73, "completion_tokens": 332, "total_tokens": 405}, "error": null, "prior_errors": 0, "t0": 1793304266.135, "t1": 1793304413.783, "s": 147.65} +{"seq": 61, "idx": 104, "ok": true, "gold": "500", "reply": "To find out how many jigsaw pieces are left to be placed, we follow these steps:\n\n1. **Identify the total number of pieces:**\n Total pieces = 1000\n\n2. **Calculate how many pieces Poppy places:**\n Poppy places a quarter of the pieces.\n $\\text{Pieces placed by Poppy} = \\frac{1}{4} \\times 1000 = 250$\n\n3. **Calculate the remaining pieces after Poppy's turn:**\n $\\text{Remaining pieces} = 1000 - 250 = 750$\n\n4. **Calculate how many pieces her mom places:**\n Her mom places a third of the *remaining* pieces.\n $\\text{Pieces placed by Mom} = \\frac{1}{3} \\times 750 = 250$\n\n5. **Calculate the final number of pieces left to be placed:**\n Subtract the pieces Mom placed from the previous remainder.\n $\\text{Final pieces left} = 750 - 250 = 500$\n\nAlternatively, we can look at the fractions:\n- After Poppy places $\\frac{1}{4}$, $\\frac{3}{4}$ remain.\n- After Mom places $\\frac{1}{3}$ of the remainder, $\\frac{2}{3}$ of that remainder is left.\n- $\\text{Final pieces left} = 1000 \\times \\frac{3}{4} \\times \\frac{2}{3}$\n- $\\text{Final pieces left} = 1000 \\times \\frac{6}{12} = 1000 \\times \\frac{1}{2} = 500$\n\nAnswer: 500", "usage": {"prompt_tokens": 76, "completion_tokens": 391, "total_tokens": 467}, "error": null, "prior_errors": 0, "t0": 1793304251.631, "t1": 1793304424.914, "s": 173.28} +{"seq": 62, "idx": 117, "ok": true, "gold": "360", "reply": "To find the total amount John paid, we can follow these steps:\n\n1. **Determine the total number of pairs of shoes:**\n John has 3 children, and he buys 2 pairs of shoes for each child.\n $3 \\text{ children} \\times 2 \\text{ pairs/child} = 6 \\text{ pairs of shoes}$\n\n2. **Calculate the total cost:**\n Each pair of shoes costs $60.\n $6 \\text{ pairs} \\times \\$60/\\text{pair} = \\$360$\n\nAlternatively, you can calculate the cost per child first:\n1. **Cost per child:**\n $2 \\text{ pairs} \\times \\$60 = \\$120$\n2. **Total cost for 3 children:**\n $3 \\text{ children} \\times \\$120 = \\$360$\n\nAnswer: 360", "usage": {"prompt_tokens": 59, "completion_tokens": 206, "total_tokens": 265}, "error": null, "prior_errors": 0, "t0": 1793304359.658, "t1": 1793304449.353, "s": 89.7} +{"seq": 63, "idx": 114, "ok": true, "gold": "6", "reply": "To find the number of ducks in Jamal's photograph, we can work backward from the information provided.\n\n1. **Find the capacity of Jamal's phone:**\n Jamal's phone can hold 1800 photographs.\n\n2. **Find the capacity of Brittany's phone:**\n We are told that Jamal's phone can hold 6 times more photographs than Brittany's phone.\n Let $B$ be the capacity of Brittany's phone.\n $6 \\times B = 1800$\n $B = 1800 / 6$\n $B = 300$\n So, Brittany's phone can hold 300 photographs.\n\n3. **Find the number of birds in Jamal's photograph:**\n We are told that the maximum number of photographs Brittany's phone can hold (which is 300) is 50 times more than the number of birds in Jamal's photograph.\n Let $D$ be the number of ducks (birds) in the photograph.\n $50 \\times D = 300$\n $D = 300 / 50$\n $D = 6$\n\nTherefore, there are 6 ducks in Jamal's photograph.\n\nAnswer: 6", "usage": {"prompt_tokens": 116, "completion_tokens": 289, "total_tokens": 405}, "error": null, "prior_errors": 0, "t0": 1793304325.15, "t1": 1793304450.966, "s": 125.82} +{"seq": 64, "idx": 108, "ok": true, "gold": "50", "reply": "To find out how many cookies Henry baked last year, we can set up an equation based on the information provided.\n\n1. **Define the variable:**\n Let $x$ be the number of cookies Henry baked last year.\n\n2. **Translate the steps into an algebraic expression:**\n * Henry wanted to make twice as many as last year: $2x$.\n * He actually baked 15 more than he meant to: $2x + 15$.\n * He dropped 5 cookies: $(2x + 15) - 5$.\n * The final total of cookies is 110: $2x + 15 - 5 = 110$.\n\n3. **Solve the equation:**\n First, simplify the left side of the equation:\n $2x + 10 = 110$\n\n Next, subtract 10 from both sides:\n $2x = 110 - 10$\n $2x = 100$\n\n Finally, divide by 2:\n $x = \\frac{100}{2}$\n $x = 50$\n\n4. **Verify the result:**\n * Last year: 50 cookies.\n * Twice last year: $50 \\times 2 = 100$ cookies.\n * 15 more than intended: $100 + 15 = 115$ cookies.\n * Dropped 5: $115 - 5 = 110$ cookies.\n The result matches the final count given in the problem.\n\nAnswer: 50", "usage": {"prompt_tokens": 109, "completion_tokens": 377, "total_tokens": 486}, "error": null, "prior_errors": 0, "t0": 1793304292.141, "t1": 1793304458.756, "s": 166.62} +{"seq": 65, "idx": 121, "ok": true, "gold": "27", "reply": "To find the total number of fruits, we first determine the number of fruits brought by each person.\n\n**1. Morisette's fruits:**\n* Apples: 5\n* Oranges: 8\n* Total for Morisette: $5 + 8 = 13$\n\n**2. Kael's fruits:**\n* Apples: Kael brought twice the amount of apples as Morisette.\n $5 \\times 2 = 10$ apples.\n* Oranges: Kael brought half the number of oranges as Morisette.\n $8 \\div 2 = 4$ oranges.\n* Total for Kael: $10 + 4 = 14$\n\n**3. Total fruits:**\nTo find the total, add Morisette's total and Kael's total:\n$13 + 14 = 27$\n\nAnswer: 27", "usage": {"prompt_tokens": 80, "completion_tokens": 204, "total_tokens": 284}, "error": null, "prior_errors": 0, "t0": 1793304385.164, "t1": 1793304473.125, "s": 87.96} +{"seq": 66, "idx": 120, "ok": true, "gold": "240", "reply": "To find out how many sheets of paper Miguel uses every month, we follow these steps:\n\n1. **Calculate the number of sheets used per week:**\n Miguel uses 2 pads of paper a week. Each pad contains 30 sheets.\n $2 \\text{ pads} \\times 30 \\text{ sheets/pad} = 60 \\text{ sheets per week}$.\n\n2. **Calculate the number of sheets used per month:**\n Standard mathematical problems of this type typically assume a month consists of 4 weeks unless otherwise specified.\n $60 \\text{ sheets/week} \\times 4 \\text{ weeks/month} = 240 \\text{ sheets per month}$.\n\n(Note: If using the average number of days in a month (30.44 days), the calculation would be different, but in standard word problems, 4 weeks is the conventional multiplier for \"month\" when calculating weekly rates.)\n\nAnswer: 240", "usage": {"prompt_tokens": 68, "completion_tokens": 212, "total_tokens": 280}, "error": null, "prior_errors": 0, "t0": 1793304383.163, "t1": 1793304475.239, "s": 92.08} +{"seq": 67, "idx": 111, "ok": true, "gold": "16", "reply": "To find out how much water the boat took on, we need to determine the total distance Julia rowed to reach the shore and then calculate the water intake based on that distance.\n\n**1. Determine the total distance to the shore:**\n* Julia rows 20 feet in 16 seconds.\n* We can find her rowing speed: $\\text{Speed} = \\frac{\\text{Distance}}{\\text{Time}} = \\frac{20 \\text{ feet}}{16 \\text{ seconds}} = 1.25 \\text{ feet per second}$.\n* The shore is 64 seconds away.\n* Total distance = $\\text{Speed} \\times \\text{Time} = 1.25 \\text{ feet/second} \\times 64 \\text{ seconds} = 80 \\text{ feet}$.\n\n**2. Calculate the water intake based on the distance:**\n* The boat takes on 2 liters of water for every 10 feet rowed.\n* First, find how many 10-foot increments are in the total distance:\n $\\frac{80 \\text{ feet}}{10 \\text{ feet}} = 8 \\text{ increments}$.\n* Since each increment results in 2 liters of water:\n $8 \\times 2 \\text{ liters} = 16 \\text{ liters}$.\n\n**Summary of steps:**\n- Speed: $20/16 = 1.25$ ft/s\n- Total distance: $1.25 \\times 64 = 80$ ft\n- Water rate: $2$ L / $10$ ft\n- Total water: $(80 / 10) \\times 2 = 16$ L\n\nAnswer: 16", "usage": {"prompt_tokens": 98, "completion_tokens": 392, "total_tokens": 490}, "error": null, "prior_errors": 0, "t0": 1793304312.146, "t1": 1793304483.839, "s": 171.69} +{"seq": 68, "idx": 118, "ok": true, "gold": "4", "reply": "To find the number of containers imported on the second day, we can follow these steps:\n\n1. **Calculate the number of vehicles imported on the first day:**\n The officer counted 2 containers, and each container had 5 vehicles.\n $2 \\text{ containers} \\times 5 \\text{ vehicles/container} = 10 \\text{ vehicles}$.\n\n2. **Determine the total number of vehicles imported on the second day:**\n The total number of vehicles at the port became 30. We subtract the vehicles from the first day from the total.\n $30 \\text{ total vehicles} - 10 \\text{ initial vehicles} = 20 \\text{ vehicles imported on the second day}$.\n\n3. **Calculate the number of containers imported on the second day:**\n We are told that all containers contain 5 vehicles. To find the number of containers, we divide the number of vehicles imported on the second day by the number of vehicles per container.\n $20 \\text{ vehicles} \\div 5 \\text{ vehicles/container} = 4 \\text{ containers}$.\n\nAnswer: 4", "usage": {"prompt_tokens": 101, "completion_tokens": 249, "total_tokens": 350}, "error": null, "prior_errors": 0, "t0": 1793304375.161, "t1": 1793304484.207, "s": 109.05} +{"seq": 69, "idx": 126, "ok": true, "gold": "82", "reply": "To find the total number of sausages Dylan bought, we need to calculate the number of fish sausages first and then add that to the number of chicken sausages.\n\n1. **Identify the number of chicken sausages:**\n Dylan bought 38 chicken sausages.\n\n2. **Calculate the number of fish sausages:**\n He bought 6 more fish sausages than chicken sausages.\n Number of fish sausages = 38 + 6 = 44.\n\n3. **Calculate the total number of sausages:**\n Total sausages = Chicken sausages + Fish sausages\n Total sausages = 38 + 44 = 82.\n\nAnswer: 82", "usage": {"prompt_tokens": 70, "completion_tokens": 142, "total_tokens": 212}, "error": null, "prior_errors": 0, "t0": 1793304425.174, "t1": 1793304486.538, "s": 61.36} +{"seq": 70, "idx": 116, "ok": true, "gold": "42", "reply": "To find the number of teaspoonfuls of sugar Katy used, we can follow these steps:\n\n1. **Identify the ratio and the total:**\n The ratio of sugar to water is $7:13$.\n The total amount of sugar and water used is $120$ units (teaspoonfuls/cups).\n\n2. **Determine the total number of parts in the ratio:**\n The ratio is $7$ parts sugar to $13$ parts water.\n Total parts = $7 + 13 = 20$ parts.\n\n3. **Calculate the value of one part:**\n Since the total amount is $120$ and there are $20$ parts in total, we divide the total amount by the total number of parts:\n Value of one part = $\\frac{120}{20} = 6$.\n\n4. **Calculate the amount of sugar:**\n The sugar represents $7$ parts of the ratio.\n Amount of sugar = $7 \\text{ parts} \\times 6 \\text{ units/part} = 42$.\n\n**Verification:**\nAmount of water = $13 \\text{ parts} \\times 6 \\text{ units/part} = 78$.\nTotal amount = $42 \\text{ (sugar)} + 78 \\text{ (water)} = 120$.\nThe ratio $42:78$ simplifies to $7:13$ (dividing both by 6).\n\nAnswer: 42", "usage": {"prompt_tokens": 81, "completion_tokens": 339, "total_tokens": 420}, "error": null, "prior_errors": 0, "t0": 1793304338.653, "t1": 1793304486.586, "s": 147.93} +{"seq": 71, "idx": 123, "ok": true, "gold": "50", "reply": "To find the total number of miles Rosie can run in 7 hours, we need to calculate the distance covered in two separate stages.\n\n**Stage 1: The first 3 hours**\nRosie runs at a speed of 10 miles per hour for 3 hours.\nDistance = Speed \u00d7 Time\nDistance = 10 mph \u00d7 3 hours = 30 miles.\n\n**Stage 2: The remaining time**\nThe total time is 7 hours. Since she has already run for 3 hours, the remaining time is:\n7 hours - 3 hours = 4 hours.\n\nDuring these remaining 4 hours, her speed is 5 miles per hour.\nDistance = Speed \u00d7 Time\nDistance = 5 mph \u00d7 4 hours = 20 miles.\n\n**Total Distance:**\nTo find the total distance, we add the distance from Stage 1 and Stage 2:\nTotal Distance = 30 miles + 20 miles = 50 miles.\n\nAnswer: 50", "usage": {"prompt_tokens": 66, "completion_tokens": 217, "total_tokens": 283}, "error": null, "prior_errors": 0, "t0": 1793304407.669, "t1": 1793304501.914, "s": 94.25} +{"seq": 72, "idx": 127, "ok": true, "gold": "120", "reply": "To find the total number of friends Lily and Amy have together, we follow these steps:\n\n1. **Identify the number of friends Lily made:**\n Lily made 50 friends.\n\n2. **Calculate the number of friends Amy made:**\n Amy made 20 more friends than Lily.\n Amy's friends = Lily's friends + 20\n Amy's friends = 50 + 20 = 70\n\n3. **Calculate the total number of friends Lily and Amy have together:**\n Total friends = Lily's friends + Amy's friends\n Total friends = 50 + 70 = 120\n\nAnswer: 120", "usage": {"prompt_tokens": 64, "completion_tokens": 154, "total_tokens": 218}, "error": null, "prior_errors": 0, "t0": 1793304449.679, "t1": 1793304517.373, "s": 67.69} +{"seq": 73, "idx": 115, "ok": true, "gold": "90", "reply": "To find the total profit Sasha makes, we need to calculate her total cost and her total revenue (the selling price).\n\n**1. Calculate the total cost of the lumber:**\n* **2 x 4 x 10 boards:** She has 10 boards, and each cost $10.\n Cost = $10 \\times 10 = \\$100$\n* **4 x 4 x 10 boards:** She has 5 boards, and each cost $16.\n Cost = $5 \\times 16 = \\$80$\n* **Total Cost** = $\\$100 + \\$80 = \\$180$\n\n**2. Calculate the selling price (revenue):**\nThe problem states that prices have gone up by 50% since she bought them. This means the current market price is 150% of her original cost.\n* **Selling price of 2 x 4 x 10 boards:**\n Original cost per board = $10\n New price per board = $\\$10 + (50\\% \\text{ of } \\$10) = \\$10 + \\$5 = \\$15$\n Total revenue for these boards = $10 \\times \\$15 = \\$150$\n* **Selling price of 4 x 4 x 10 boards:**\n Original cost per board = $16\n New price per board = $\\$16 + (50\\% \\text{ of } \\$16) = \\$16 + \\$8 = \\$24$\n Total revenue for these boards = $5 \\times \\$24 = \\$120$\n* **Total Revenue** = $\\$150 + \\$120 = \\$270$\n\n**3. Calculate the profit:**\nProfit is the difference between the total revenue and the total cost.\nProfit = Total Revenue - Total Cost\nProfit = $\\$270 - \\$180 = \\$90$\n\nAnswer: 90", "usage": {"prompt_tokens": 122, "completion_tokens": 443, "total_tokens": 565}, "error": null, "prior_errors": 0, "t0": 1793304325.15, "t1": 1793304518.994, "s": 193.84} +{"seq": 74, "idx": 124, "ok": true, "gold": "10", "reply": "To find out how many letters were in the pile of already-stamped letters when Jennie began, we can follow these steps:\n\n1. **Identify the initial number of letters needing stamps:**\n Jennie starts with 60 letters that need stamps.\n\n2. **Calculate how many letters Jennie stamped:**\n Jennie stamps one-third of the letters needing stamps.\n $\\text{Letters stamped} = \\frac{1}{3} \\times 60 = 20$ letters.\n\n3. **Determine the total number of stamped letters after Jennie's work:**\n After Jennie finishes, there are 30 letters in the pile of already-stamped letters.\n\n4. **Calculate the initial number of stamped letters:**\n The final pile of stamped letters consists of the letters that were already stamped plus the letters Jennie just stamped.\n $\\text{Final stamped pile} = \\text{Initial stamped pile} + \\text{Letters Jennie stamped}$\n $30 = \\text{Initial stamped pile} + 20$\n\n5. **Solve for the initial stamped pile:**\n $\\text{Initial stamped pile} = 30 - 20 = 10$\n\nThere were 10 letters in the pile of already-stamped letters when Jennie began.\n\nAnswer: 10", "usage": {"prompt_tokens": 101, "completion_tokens": 288, "total_tokens": 389}, "error": null, "prior_errors": 0, "t0": 1793304407.67, "t1": 1793304533.576, "s": 125.91} +{"seq": 75, "idx": 130, "ok": true, "gold": "30", "reply": "To find out how many elves are left, we follow the steps of the problem:\n\n1. **Initial number of elves:** 60\n2. **First group quits:** A third of the elves quit.\n $\\frac{1}{3} \\times 60 = 20$ elves quit.\n3. **Remaining elves after the first group quits:**\n $60 - 20 = 40$ elves remaining.\n4. **Second group quits:** 10 of the remaining elves quit.\n $40 - 10 = 30$ elves remaining.\n\nThere are 30 elves left.\n\nAnswer: 30", "usage": {"prompt_tokens": 83, "completion_tokens": 149, "total_tokens": 232}, "error": null, "prior_errors": 0, "t0": 1793304473.185, "t1": 1793304539.829, "s": 66.64} +{"seq": 76, "idx": 125, "ok": true, "gold": "10", "reply": "To find out how many spoons were in the package Julia bought, we can set up an equation based on the information provided.\n\n1. **Identify the variables and known values:**\n * Let $x$ be the number of spoons in the package Julia bought.\n * The number of spoons her husband bought is $5$.\n * The number of spoons Julia used is $3$.\n * The final total number of spoons is $12$.\n\n2. **Set up the equation:**\n The total number of spoons is the sum of the spoons Julia bought and the spoons her husband bought, minus the spoons she used.\n $$x + 5 - 3 = 12$$\n\n3. **Solve the equation:**\n * Simplify the left side:\n $$x + 2 = 12$$\n * Subtract 2 from both sides to isolate $x$:\n $$x = 12 - 2$$\n $$x = 10$$\n\n4. **Verify the result:**\n If Julia bought 10 spoons and her husband gave her 5, she had $10 + 5 = 15$ spoons. After using 3 spoons, she would have $15 - 3 = 12$ spoons. This matches the total given in the problem.\n\nAnswer: 10", "usage": {"prompt_tokens": 139, "completion_tokens": 298, "total_tokens": 437}, "error": null, "prior_errors": 0, "t0": 1793304414.172, "t1": 1793304544.446, "s": 130.27} +{"seq": 77, "idx": 131, "ok": true, "gold": "940", "reply": "To find the total expenditure for the two months, we follow these steps:\n\n1. **Identify the expenditure for May:**\n Joseph's expenditure in May was $500.\n\n2. **Calculate the expenditure for June:**\n The problem states that in June, his expenditure was $60 less than in May.\n Expenditure in June = Expenditure in May - $60\n Expenditure in June = $500 - $60 = $440.\n\n3. **Calculate the total expenditure for both months:**\n Total expenditure = Expenditure in May + Expenditure in June\n Total expenditure = $500 + $440 = $940.\n\nAnswer: 940", "usage": {"prompt_tokens": 63, "completion_tokens": 159, "total_tokens": 222}, "error": null, "prior_errors": 0, "t0": 1793304475.686, "t1": 1793304546.984, "s": 71.3} +{"seq": 78, "idx": 122, "ok": true, "gold": "48", "reply": "To find the total number of hours Sadie slept throughout the week, we calculate the hours for each day step-by-step.\n\n1. **Monday:**\n Sadie slept **8 hours**.\n\n2. **Tuesday and Wednesday (the next two days):**\n She slept 2 hours less than Monday each day.\n Tuesday: $8 - 2 = 6$ hours.\n Wednesday: $8 - 2 = 6$ hours.\n\n3. **The rest of the week (Thursday, Friday, Saturday, Sunday):**\n The \"rest of the week\" consists of 4 days.\n She slept 1 hour more than those two days (Tuesday and Wednesday).\n Hours per day for the rest of the week: $6 + 1 = 7$ hours.\n Total for these 4 days: $4 \\times 7 = 28$ hours.\n\n4. **Total for the week:**\n Now, add the hours from all days together:\n Monday: 8\n Tuesday: 6\n Wednesday: 6\n Thursday: 7\n Friday: 7\n Saturday: 7\n Sunday: 7\n\n Total = $8 + 6 + 6 + 7 + 7 + 7 + 7$\n Total = $8 + 12 + 28$\n Total = $20 + 28 = 48$\n\nAnswer: 48", "usage": {"prompt_tokens": 90, "completion_tokens": 324, "total_tokens": 414}, "error": null, "prior_errors": 0, "t0": 1793304404.668, "t1": 1793304547.468, "s": 142.8} +{"seq": 79, "idx": 135, "ok": true, "gold": "40", "reply": "To find out how many video games Bobby has, we need to follow these steps:\n\n1. **Determine how many video games Brian has after losing some:**\n Brian started with 20 video games but lost 5.\n $20 - 5 = 15$\n So, Brian currently has 15 video games.\n\n2. **Calculate \"3 times as many as Brian\":**\n Bobby's total is based on 3 times Brian's current amount.\n $3 \\times 15 = 45$\n\n3. **Apply the \"5 fewer\" condition:**\n Bobby has 5 fewer than that amount.\n $45 - 5 = 40$\n\nBobby has 40 video games.\n\nAnswer: 40", "usage": {"prompt_tokens": 76, "completion_tokens": 174, "total_tokens": 250}, "error": null, "prior_errors": 0, "t0": 1793304486.69, "t1": 1793304564.413, "s": 77.72} +{"seq": 80, "idx": 136, "ok": true, "gold": "6", "reply": "To find the number of female Scottish unicorns, follow these steps:\n\n1. **Find the total number of unicorns in the Scottish Highlands:**\n There are 27 unicorns in total. One third of them are in the Scottish Highlands.\n $27 \\times \\frac{1}{3} = 9$ unicorns.\n\n2. **Find the number of female unicorns among the Scottish unicorns:**\n There are 9 unicorns in the Scottish Highlands. Two thirds of them are female.\n $9 \\times \\frac{2}{3} = \\frac{18}{3} = 6$ unicorns.\n\nThere are 6 female Scottish unicorns.\n\nAnswer: 6", "usage": {"prompt_tokens": 70, "completion_tokens": 148, "total_tokens": 218}, "error": null, "prior_errors": 0, "t0": 1793304502.193, "t1": 1793304569.418, "s": 67.22} +{"seq": 81, "idx": 133, "ok": true, "gold": "13", "reply": "To find out how many miles Walt walked on Wednesday, we can follow these steps:\n\n1. **Calculate the miles walked on Monday:**\n Walt walked 4 miles on Monday.\n\n2. **Calculate the miles walked on Tuesday:**\n He walked 6 times as many miles as he walked on Monday.\n $6 \\times 4 = 24$ miles.\n\n3. **Calculate the total miles walked on Monday and Tuesday combined:**\n $4 \\text{ (Monday)} + 24 \\text{ (Tuesday)} = 28$ miles.\n\n4. **Calculate the miles walked on Wednesday:**\n We know the total mileage for Monday through Wednesday was 41 miles. To find Wednesday's mileage, subtract the combined total of Monday and Tuesday from the three-day total.\n $41 \\text{ (Total)} - 28 \\text{ (Monday + Tuesday)} = 13$ miles.\n\nAnswer: 13", "usage": {"prompt_tokens": 75, "completion_tokens": 213, "total_tokens": 288}, "error": null, "prior_errors": 0, "t0": 1793304484.688, "t1": 1793304580.863, "s": 96.17} +{"seq": 82, "idx": 134, "ok": true, "gold": "720", "reply": "To find out how much Tom pays in a year, we can follow these steps:\n\n1. **Calculate the monthly cost:**\n Tom gets 4 car washes a month, and each wash costs $15.\n $4 \\text{ washes} \\times \\$15/\\text{wash} = \\$60 \\text{ per month}$\n\n2. **Calculate the yearly cost:**\n There are 12 months in a year.\n $\\$60 \\text{ per month} \\times 12 \\text{ months} = \\$720 \\text{ per year}$\n\nAlternatively, you can calculate the total number of washes in a year first:\n1. **Total washes per year:** $4 \\text{ washes/month} \\times 12 \\text{ months} = 48 \\text{ washes}$\n2. **Total cost per year:** $48 \\text{ washes} \\times \\$15/\\text{wash} = \\$720$\n\nAnswer: 720", "usage": {"prompt_tokens": 56, "completion_tokens": 225, "total_tokens": 281}, "error": null, "prior_errors": 0, "t0": 1793304486.689, "t1": 1793304588.084, "s": 101.39} +{"seq": 83, "idx": 128, "ok": true, "gold": "880", "reply": "To find the total amount Dillon spends, we first need to determine the cost of each item based on the price of a pepper.\n\n1. **Identify the cost of a pepper:**\n The problem states that each pepper costs $15.\n $\\text{Pepper} = \\$15$\n\n2. **Calculate the cost of a watermelon:**\n A watermelon costs three times what each pepper costs.\n $\\text{Watermelon} = 3 \\times \\$15 = \\$45$\n\n3. **Calculate the cost of an orange:**\n An orange costs $5 less than what a watermelon costs.\n $\\text{Orange} = \\$45 - \\$5 = \\$40$\n\n4. **Calculate the total cost for each type of fruit based on the quantities purchased:**\n * **Watermelons:** Dillon buys 4 watermelons.\n $4 \\times \\$45 = \\$180$\n * **Peppers:** Dillon buys 20 peppers.\n $20 \\times \\$15 = \\$300$\n * **Oranges:** Dillon buys 10 oranges.\n $10 \\times \\$40 = \\$400$\n\n5. **Calculate the total amount spent:**\n $\\text{Total} = \\$180 + \\$300 + \\$400 = \\$880$\n\nAnswer: 880", "usage": {"prompt_tokens": 113, "completion_tokens": 314, "total_tokens": 427}, "error": null, "prior_errors": 0, "t0": 1793304451.18, "t1": 1793304592.493, "s": 141.31} +{"seq": 84, "idx": 132, "ok": true, "gold": "60", "reply": "To find the total number of tickets used, we need to calculate the total number of rides taken by both Pam and Fred and then multiply that by the cost per ride.\n\n**Step 1: Calculate the total number of roller coaster rides.**\n* Pam rode the roller coaster 2 times.\n* Fred rode the roller coaster 4 times.\n* Total roller coaster rides = $2 + 4 = 6$ rides.\n\n**Step 2: Calculate the total number of luge rides.**\n* Each of them (Pam and Fred) rode the luge 2 times.\n* Total luge rides = $2 \\text{ (Pam)} + 2 \\text{ (Fred)} = 4$ rides.\n\n**Step 3: Calculate the total number of rides combined.**\n* Total rides = $6 \\text{ (roller coaster)} + 4 \\text{ (luge)} = 10$ rides.\n\n**Step 4: Calculate the total number of tickets used.**\n* Each ride costs 6 tickets.\n* Total tickets = $10 \\text{ rides} \\times 6 \\text{ tickets/ride} = 60$ tickets.\n\nAnswer: 60", "usage": {"prompt_tokens": 86, "completion_tokens": 266, "total_tokens": 352}, "error": null, "prior_errors": 0, "t0": 1793304484.188, "t1": 1793304605.209, "s": 121.02} +{"seq": 85, "idx": 93, "ok": false, "gold": "36", "reply": "To find out how fast Gerald can run the 400-meter hurdles with his improved diet, we follow these steps:\n\n1. **Determine Lee's time:**\n Lee's time is given as $T_L = 38$ seconds.\n\n2. **Determine Gerald's original time:**\n We are told that Lee used to run the hurdles two seconds faster than Gerald. This means Gerald's original time ($T_{G\\_old}$) was 2 seconds slower than Lee's time.\n $T_{G\\_old} = T_L + 2$\n $T_{G\\_old} = 38 + 2 = 40$ seconds.\n\n3. **Calculate Gerald's improved speed:**\n Gerald improved his speed by 10%. In the context of running, \"improving speed by 10%\" means he covers 10% more distance in the same amount of time, or equivalently, his speed $v_{new} = 1.10 \\times v_{old}$.\n\n The relationship between speed ($v$), distance ($d$), and time ($t$) is $v = \\frac{d}{t}$.\n Let $d$ be the distance (400 meters).\n $v_{old} = \\frac{d}{T_{G\\_old}}$\n $v_{new} = 1.10 \\times v_{old} = 1.10 \\times \\frac{d}{T_{G\\_old}}$\n\n We want to find Gerald's new time ($T_{G\\_new}$):\n $T_{G\\_new} = \\frac{d}{v_{new}}$\n $T_{G\\_new} = \\frac{d}{1.10 \\times \\frac{d}{T_{G\\_old}}}$\n $T_{G\\_new} = \\frac{T_{G\\_old}}{1.10}$\n\n4. **Calculate the new time:**\n $T_{G\\_new} = \\frac{40}{1.10}$\n $T_{G\\_new} = \\frac{40}{\\frac{11}{10}}$\n $T_{G\\_new} = \\frac{400}{11}$\n $T_{G\\_new} \\approx 36.3636...$\n\n Wait, let's re-read the phrasing: \"improved his speed by 10%\". In many word problems involving time and speed, \"improving speed by 10%\" can sometimes be interpreted as reducing the time by 10% (which is mathematically different) or increasing the speed. Standard physics interpretation is $v_{new} = 1.1v_{old}$.\n\n Let's check the calculation:\n $400 / 11 = 36.3636...$\n\n If the problem intended \"improved his time by 10%\":\n $40 - (0.10 \\times 40) = 36$.\n\n However, \"improved his speed by 10%\" strictly means $v_{new} = 1.1 v_{old}$.\n $T_{new} = \\frac{d}{1.1 v_{old}} = \\frac{T_{old}}{1.1} = \\frac{40}{1.1} = 36.\\overline{36}$.\n\n Let's re-evaluate if there's another interpretation. If \"improved his speed by 10%\" meant he runs 10% faster in terms of time reduction (which is a common error in problem writing), the answer would be 36. But mathematically, speed is $1/time$.\n If $v_{new} = 1.1 v_{old}$, then $T_{new} = T_{old} / 1.1 = 40 / 1.1 = 36.36...$\n\n Let's look at the numbers again. $40 / 1.1 = 400/11$.\n If the question implies the time is reduced by 10% of the original time: $40 - 4 = 36$.\n If the question implies the speed is increased by 10%: $40 / 1.1 = 36.36...$\n\n In most competitive math problems, \"speed improved by 10%\" means $v_{new} = 1.1 v_{old}$.\n $T_{new} = 40 / 1.1 = 36.3636...$\n\n Let's check", "usage": {"prompt_tokens": 117, "completion_tokens": 1024, "total_tokens": 1141}, "error": null, "prior_errors": 0, "t0": 1793304169.61, "t1": 1793304623.762, "s": 454.15} +{"seq": 86, "idx": 129, "ok": true, "gold": "10000", "reply": "To find the total profit the hospital makes from these visits, we need to calculate the total revenue and the total cost.\n\n**1. Calculate the total number of hours spent with patients:**\n* Total patients per day: 500\n* Average time per patient: 24 minutes\n* Total minutes per day: $500 \\times 24 = 12,000$ minutes\n* Total hours per day: $12,000 \\div 60 = 200$ hours\n\n**2. Calculate the total revenue (what the hospital charges the patients):**\n* The hospital charges patients $200 per hour.\n* Total revenue = $200 \\text{ hours} \\times \\$200/\\text{hour} = \\$40,000$\n\n**3. Calculate the total cost (what the hospital pays the doctors):**\n* The doctors charge the hospital $150 per hour.\n* Total cost = $200 \\text{ hours} \\times \\$150/\\text{hour} = \\$30,000$\n\n**4. Calculate the total profit:**\n* Profit = Total Revenue - Total Cost\n* Profit = $\\$40,000 - \\$30,000 = \\$10,000$\n\nAlternatively, you can calculate the profit per hour:\n* Profit per hour = $\\$200 - \\$150 = \\$50$\n* Total profit = $200 \\text{ hours} \\times \\$50/\\text{hour} = \\$10,000$\n\nAnswer: 10000", "usage": {"prompt_tokens": 92, "completion_tokens": 373, "total_tokens": 465}, "error": null, "prior_errors": 0, "t0": 1793304459.182, "t1": 1793304627.644, "s": 168.46} +{"seq": 87, "idx": 142, "ok": true, "gold": "140", "reply": "To find out how much money Jordan would earn, we need to calculate the total number of hours he spends playing video games in one week and then multiply that by his hourly wage.\n\n1. **Calculate the total video game hours per week:**\n Jordan plays for 2 hours every day.\n There are 7 days in a week.\n $2 \\text{ hours/day} \\times 7 \\text{ days/week} = 14 \\text{ hours/week}$.\n\n2. **Calculate the total earnings:**\n Jordan earns $10 per hour.\n If he worked those 14 hours instead of playing video games:\n $14 \\text{ hours} \\times \\$10/\\text{hour} = \\$140$.\n\nJordan would earn $140 in one week.\n\nAnswer: 140", "usage": {"prompt_tokens": 76, "completion_tokens": 187, "total_tokens": 263}, "error": null, "prior_errors": 0, "t0": 1793304547.205, "t1": 1793304633.468, "s": 86.26} +{"seq": 88, "idx": 139, "ok": true, "gold": "70", "reply": "To find the number of pink gumballs, we can follow these steps:\n\n1. **Identify the number of blue gumballs:**\n The problem states there are 12 blue gumballs.\n\n2. **Translate the relationship into an equation:**\n The problem states the number of pink gumballs is \"22 more than four times the number of blue gumballs.\"\n Let $B$ be the number of blue gumballs and $P$ be the number of pink gumballs.\n The relationship is: $P = 4B + 22$\n\n3. **Substitute the known value into the equation:**\n Since $B = 12$:\n $P = 4(12) + 22$\n\n4. **Perform the calculation:**\n $P = 48 + 22$\n $P = 70$\n\nThere are 70 pink gumballs.\n\nAnswer: 70", "usage": {"prompt_tokens": 75, "completion_tokens": 217, "total_tokens": 292}, "error": null, "prior_errors": 0, "t0": 1793304533.701, "t1": 1793304633.918, "s": 100.22} +{"seq": 89, "idx": 137, "ok": true, "gold": "29", "reply": "To find the total cost of Rory's delivery order, we need to calculate the subtotal, the delivery fee, and then add the tip.\n\n**1. Calculate the subtotal of the items:**\n* 2 subs at $7.50 each: $2 \\times 7.50 = \\$15.00$\n* 2 bags of chips at $1.50 each: $2 \\times 1.50 = \\$3.00$\n* 2 cookies at $1.00 each: $2 \\times 1.00 = \\$2.00$\n\n**Subtotal** = $\\$15.00 + \\$3.00 + \\$2.00 = \\$20.00$\n\n**2. Calculate the 20% delivery fee:**\nThe delivery fee is 20% of the subtotal.\n* Delivery fee = $0.20 \\times \\$20.00 = \\$4.00$\n\n**3. Calculate the total cost including the delivery fee and the tip:**\n* Subtotal: $20.00\n* Delivery fee: $4.00\n* Tip: $5.00\n\n**Total Cost** = $\\$20.00 + \\$4.00 + \\$5.00 = \\$29.00$\n\nAnswer: 29.00", "usage": {"prompt_tokens": 105, "completion_tokens": 308, "total_tokens": 413}, "error": null, "prior_errors": 0, "t0": 1793304517.697, "t1": 1793304658.307, "s": 140.61} +{"seq": 90, "idx": 138, "ok": true, "gold": "105", "reply": "To find out how many questions Mark left incomplete, we need to calculate how many questions he completed in each test and subtract that from the total number of questions in each test.\n\n**Step 1: Calculate questions completed in the first test.**\n- Total questions in the first test: 75\n- Rate of completion: 5 questions per hour\n- Time spent on the first test: 8 hours\n- Questions completed = $5 \\text{ questions/hour} \\times 8 \\text{ hours} = 40 \\text{ questions}$\n- Questions left incomplete in the first test = $75 - 40 = 35 \\text{ questions}$\n\n**Step 2: Calculate questions completed in the second test.**\n- Total questions in the second test: 100\n- Rate of completion: 5 questions per hour\n- Time spent on the second test: 6 hours\n- Questions completed = $5 \\text{ questions/hour} \\times 6 \\text{ hours} = 30 \\text{ questions}$\n- Questions left incomplete in the second test = $100 - 30 = 70 \\text{ questions}$\n\n**Step 3: Calculate the total number of questions left incomplete.**\n- Total incomplete = (Incomplete from test 1) + (Incomplete from test 2)\n- Total incomplete = $35 + 70 = 105$\n\nAnswer: 105", "usage": {"prompt_tokens": 102, "completion_tokens": 314, "total_tokens": 416}, "error": null, "prior_errors": 0, "t0": 1793304519.197, "t1": 1793304662.369, "s": 143.17} +{"seq": 91, "idx": 140, "ok": true, "gold": "20", "reply": "To find the percentage of cars that are semi-automatic, follow these steps:\n\n1. **Identify the total number of cars:**\n Total cars = 20\n\n2. **Identify the number of automatic and manual cars:**\n Automatic cars = 12\n Manual cars = 4\n\n3. **Calculate the number of semi-automatic cars:**\n Since the rest of the cars are semi-automatic, subtract the automatic and manual cars from the total:\n Semi-automatic cars = Total cars - (Automatic cars + Manual cars)\n Semi-automatic cars = 20 - (12 + 4)\n Semi-automatic cars = 20 - 16\n Semi-automatic cars = 4\n\n4. **Calculate the percentage of semi-automatic cars:**\n To find the percentage, divide the number of semi-automatic cars by the total number of cars and multiply by 100:\n Percentage = (Number of semi-automatic cars / Total cars) \u00d7 100\n Percentage = (4 / 20) \u00d7 100\n\n5. **Perform the calculation:**\n 4 / 20 = 1 / 5 = 0.2\n 0.2 \u00d7 100 = 20%\n\nAnswer: 20", "usage": {"prompt_tokens": 70, "completion_tokens": 288, "total_tokens": 358}, "error": null, "prior_errors": 0, "t0": 1793304540.202, "t1": 1793304672.542, "s": 132.34} +{"seq": 92, "idx": 143, "ok": true, "gold": "16", "reply": "To find the total cost, we first need to categorize the items into \"food\" and \"non-food\" items to apply the tax correctly.\n\n**1. Identify the items and their costs:**\n* Milk: $2 (Food)\n* Eggs: $3 (Food)\n* Light bulbs: $3 (Non-food)\n* Cups: $3 (Non-food)\n* Roach traps: $4 (Non-food)\n\n**2. Calculate the cost of food items:**\nTotal Food = $2 (Milk) + $3 (Eggs) = $5\n\n**3. Calculate the cost of non-food items:**\nTotal Non-food = $3 (Light bulbs) + $3 (Cups) + $4 (Roach traps) = $10\n\n**4. Calculate the tax on non-food items:**\nThe tax rate is 10%.\nTax = 10% of $10 = 0.10 * $10 = $1\n\n**5. Calculate the total cost:**\nTotal Cost = (Cost of Food) + (Cost of Non-food) + (Tax on Non-food)\nTotal Cost = $5 + $10 + $1 = $16\n\nAnswer: 16", "usage": {"prompt_tokens": 86, "completion_tokens": 276, "total_tokens": 362}, "error": null, "prior_errors": 0, "t0": 1793304547.705, "t1": 1793304674.563, "s": 126.86} +{"seq": 93, "idx": 145, "ok": true, "gold": "4000", "reply": "To find the total number of pineapples John can harvest within a year, we follow these steps:\n\n1. **Calculate the total number of pineapples per harvest:**\n John has 10 hectares of land, and each hectare produces 100 pineapples.\n Total pineapples per harvest = $10 \\text{ hectares} \\times 100 \\text{ pineapples/hectare} = 1,000 \\text{ pineapples}$.\n\n2. **Calculate the number of harvests in a year:**\n A year has 12 months. John harvests his pineapples every 3 months.\n Number of harvests per year = $12 \\text{ months} \\div 3 \\text{ months/harvest} = 4 \\text{ harvests}$.\n\n3. **Calculate the total number of pineapples harvested in a year:**\n Total pineapples per year = $\\text{Pineapples per harvest} \\times \\text{Number of harvests per year}$\n Total pineapples per year = $1,000 \\times 4 = 4,000 \\text{ pineapples}$.\n\nAnswer: 4000", "usage": {"prompt_tokens": 73, "completion_tokens": 254, "total_tokens": 327}, "error": null, "prior_errors": 0, "t0": 1793304569.711, "t1": 1793304686.366, "s": 116.66} +{"seq": 94, "idx": 146, "ok": true, "gold": "2125", "reply": "To find the total number of Lego pieces Johnny picks up, we need to calculate the number of pieces in each of the three boxes and then sum them up.\n\n1. **First box:** The problem states the first box has **500 pieces**.\n\n2. **Second box:** This box has 3 times more pieces than the 500-piece one.\n $500 \\times 3 = 1500$ pieces.\n\n3. **Third box:** This box has 1/4 the number of pieces as the first box (the 500-piece one).\n $500 \\times \\frac{1}{4} = 125$ pieces.\n\n4. **Total pieces:** Now, add the pieces from all three boxes together:\n $500 \\text{ (Box 1)} + 1500 \\text{ (Box 2)} + 125 \\text{ (Box 3)} = 2125$ pieces.\n\nJohnny picks up a total of 2125 blocks.\n\nAnswer: 2125", "usage": {"prompt_tokens": 111, "completion_tokens": 246, "total_tokens": 357}, "error": null, "prior_errors": 0, "t0": 1793304581.213, "t1": 1793304694.547, "s": 113.33} +{"seq": 95, "idx": 149, "ok": true, "gold": "16", "reply": "To find out how many Facebook friends James has, we can follow these steps:\n\n1. **Identify the number of friends Charlie has:**\n Charlie has 12 friends.\n\n2. **Determine the number of friends Dorothy has:**\n We are told that Charlie has three times as many friends as Dorothy.\n Let $D$ be the number of Dorothy's friends.\n $3 \\times D = 12$\n $D = 12 / 3$\n $D = 4$\n So, Dorothy has 4 friends.\n\n3. **Determine the number of friends James has:**\n We are told that James has four times as many friends as Dorothy.\n Let $J$ be the number of James's friends.\n $J = 4 \\times D$\n $J = 4 \\times 4$\n $J = 16$\n\nJames has 16 Facebook friends.\n\nAnswer: 16", "usage": {"prompt_tokens": 70, "completion_tokens": 216, "total_tokens": 286}, "error": null, "prior_errors": 0, "t0": 1793304605.22, "t1": 1793304704.591, "s": 99.37} +{"seq": 96, "idx": 144, "ok": true, "gold": "20", "reply": "To find the profit, we first need to determine the total number of clients, then calculate the total expenses, and finally subtract the expenses from the total income.\n\n1. **Determine the total number of clients:**\n Kim has 3 existing clients and is including 5 potential clients.\n Total clients = $3 + 5 = 8$ clients.\n\n2. **Calculate the cost per client:**\n Each client requires 2 bottles of bleach and 1 pack of cloths.\n Cost of bleach per client = $2 \\text{ bottles} \\times \\$2/\\text{bottle} = \\$4$.\n Cost of cloths per client = $1 \\text{ pack} \\times \\$5/\\text{pack} = \\$5$.\n Total cost per client = $\\$4 + \\$5 = \\$9$.\n\n3. **Calculate the total expenses for all clients:**\n Total expenses = $\\text{Total clients} \\times \\text{Cost per client}$\n Total expenses = $8 \\times \\$9 = \\$72$.\n\n4. **Calculate the total profit:**\n Profit is the difference between total income and total expenses.\n Total income = $92.\n Total expenses = $72.\n Profit = $\\$92 - \\$72 = \\$20$.\n\n(Note: The problem asks for the profit \"Lucas\" will make, assuming Lucas is Kim/the business owner).\n\nAnswer: 20", "usage": {"prompt_tokens": 159, "completion_tokens": 314, "total_tokens": 473}, "error": null, "prior_errors": 0, "t0": 1793304564.709, "t1": 1793304709.407, "s": 144.7} +{"seq": 97, "idx": 148, "ok": true, "gold": "30", "reply": "To find out how much money Brittany's mom gave the cashier, we need to calculate the total cost of the tickets and then add the change she received.\n\n1. **Identify the cost of the tickets:**\n * The cost of an adult ticket is $12.\n * The cost of a child ticket is $10.\n\n2. **Calculate the total cost of the tickets:**\n * Total cost = Cost of 1 adult ticket + Cost of 1 child ticket\n * Total cost = $12 + $10 = $22.\n\n3. **Calculate the total amount given to the cashier:**\n * The mom received $8 in change. This means the amount she gave the cashier was the total cost of the tickets plus the change she received back.\n * Total amount given = Total cost + Change received\n * Total amount given = $22 + $8 = $30.\n\nAlternatively, we can think of it this way:\nThe cashier received an amount ($X$), subtracted the cost of the tickets ($22), and returned the change ($8).\n$X - 22 = 8$\n$X = 8 + 22$\n$X = 30$\n\nAnswer: 30", "usage": {"prompt_tokens": 96, "completion_tokens": 280, "total_tokens": 376}, "error": null, "prior_errors": 0, "t0": 1793304592.717, "t1": 1793304720.926, "s": 128.21} +{"seq": 98, "idx": 152, "ok": true, "gold": "4", "reply": "To find out how much change Carl receives, we need to calculate the total cost of the cookies and subtract it from the amount he paid.\n\n1. **Calculate the total number of cookies:**\n Carl buys 10 packs, and each pack contains 6 cookies.\n Total cookies = $10 \\text{ packs} \\times 6 \\text{ cookies/pack} = 60 \\text{ cookies}$.\n\n2. **Calculate the total cost of the cookies:**\n Each cookie costs $0.10.\n Total cost = $60 \\text{ cookies} \\times \\$0.10/\\text{cookie} = \\$6.00$.\n\n3. **Calculate the change received:**\n Carl pays with a $10 bill.\n Change = $\\text{Amount paid} - \\text{Total cost}$\n Change = $\\$10.00 - \\$6.00 = \\$4.00$.\n\nAnswer: 4", "usage": {"prompt_tokens": 70, "completion_tokens": 213, "total_tokens": 283}, "error": null, "prior_errors": 0, "t0": 1793304633.727, "t1": 1793304730.831, "s": 97.1} +{"seq": 99, "idx": 141, "ok": true, "gold": "400", "reply": "To find the number of worker bees, we can set up an algebraic equation based on the relationships provided.\n\n1. **Define the variables:**\n Let $Q$ be the number of queens.\n Let $B$ be the number of baby bees.\n Let $W$ be the number of worker bees.\n\n2. **Set up the relationships based on the problem:**\n * \"There are twice as many babies as queens\": $B = 2Q$\n * \"There are twice as many worker bees as baby bees\": $W = 2B$\n * The total number of bees is 700: $W + B + Q = 700$\n\n3. **Express all variables in terms of $Q$:**\n * $B = 2Q$\n * $W = 2B = 2(2Q) = 4Q$\n\n4. **Substitute these into the total sum equation:**\n $4Q + 2Q + Q = 700$\n $7Q = 700$\n\n5. **Solve for $Q$:**\n $Q = \\frac{700}{7}$\n $Q = 100$\n\n6. **Calculate the number of worker bees ($W$):**\n Since $W = 4Q$:\n $W = 4 \\times 100$\n $W = 400$\n\n**Check the work:**\nIf $W = 400$, then $B = 400 / 2 = 200$.\nIf $B = 200$, then $Q = 200 / 2 = 100$.\nTotal bees: $400 + 200 + 100 = 700$. The values are correct.\n\nAnswer: 400", "usage": {"prompt_tokens": 69, "completion_tokens": 424, "total_tokens": 493}, "error": null, "prior_errors": 0, "t0": 1793304544.704, "t1": 1793304739.002, "s": 194.3} +{"seq": 100, "idx": 156, "ok": true, "gold": "1400", "reply": "To find the total number of bananas needed for 2 months, we first calculate the total number of bananas needed for all the apes in a single month.\n\n1. **Calculate the monthly total for all apes:**\n * Monkeys: 200 bananas/month\n * Gorillas: 400 bananas/month\n * Baboons: 100 bananas/month\n * Total per month = $200 + 400 + 100 = 700$ bananas.\n\n2. **Calculate the total for 2 months:**\n Since the zookeeper orders bananas every 2 months, we multiply the monthly total by 2.\n * Total for 2 months = $700 \\text{ bananas/month} \\times 2 \\text{ months} = 1400$ bananas.\n\nAnswer: 1400", "usage": {"prompt_tokens": 101, "completion_tokens": 199, "total_tokens": 300}, "error": null, "prior_errors": 0, "t0": 1793304672.737, "t1": 1793304762.991, "s": 90.25} +{"seq": 101, "idx": 150, "ok": true, "gold": "4", "reply": "To find out how long the winner will be waiting, we need to calculate the time it takes for both Steve and Tim to get home.\n\n**1. Convert distances from miles to feet:**\nThere are 5,280 feet in one mile.\n* Steve's distance: $3 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 15,840 \\text{ feet}$\n* Tim's distance: $2 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 10,560 \\text{ feet}$\n\n**2. Calculate the time taken by each person:**\nTime is calculated as $\\text{Distance} \\div \\text{Speed}$.\n* Steve's time: $15,840 \\text{ feet} \\div 440 \\text{ feet/minute} = 36 \\text{ minutes}$\n* Tim's time: $10,560 \\text{ feet} \\div 264 \\text{ feet/minute} = 40 \\text{ minutes}$\n\n**3. Determine the winner and the waiting time:**\n* Steve finishes in 36 minutes.\n* Tim finishes in 40 minutes.\nSince Steve finished first, he is the winner.\nThe waiting time is the difference between their arrival times:\n$40 \\text{ minutes} - 36 \\text{ minutes} = 4 \\text{ minutes}$\n\nAnswer: 4", "usage": {"prompt_tokens": 122, "completion_tokens": 341, "total_tokens": 463}, "error": null, "prior_errors": 0, "t0": 1793304624.224, "t1": 1793304779.881, "s": 155.66} +{"seq": 102, "idx": 158, "ok": false, "gold": "34", "reply": "To find the total amount Raphael spent, we need to calculate the cost of each item and then add them together.\n\n1. **Calculate the cost of the pens:**\n Raphael bought 4 pens at $1.5 each.\n $4 \\times 1.5 = 6$\n So, the pens cost **$6**.\n\n2. **Calculate the cost of the notebooks:**\n Raphael bought 2 notebooks at $4 each.\n $2 \\times 4 = 8$\n So, the notebooks cost **$8**.\n\n3. **Identify the cost of the bond paper:**\n The rim of bond paper cost **$20**.\n\n4. **Calculate the total amount spent:**\n Add the costs of the pens, notebooks, and bond paper together:\n $6 + 8 + 20 = 24$\n\nRaphael spent a total of $24.\n\nAnswer: 24", "usage": {"prompt_tokens": 80, "completion_tokens": 210, "total_tokens": 290}, "error": null, "prior_errors": 0, "t0": 1793304686.74, "t1": 1793304782.405, "s": 95.66} +{"seq": 103, "idx": 151, "ok": true, "gold": "5", "reply": "To find out how many dollars Shawnda made, we need to calculate the total number of tires inflated and then multiply that by the cost per tire.\n\n1. **Calculate the number of tires for each group:**\n * **Bicycles:** 5 people came by with bicycles. Each bicycle has 2 tires.\n $5 \\text{ people} \\times 2 \\text{ tires/person} = 10 \\text{ tires}$\n * **Tricycles:** 3 people came by with tricycles. Each tricycle has 3 tires.\n $3 \\text{ people} \\times 3 \\text{ tires/person} = 9 \\text{ tires}$\n * **Unicycle:** 1 person came by with a unicycle. A unicycle has 1 tire.\n $1 \\text{ person} \\times 1 \\text{ tire/person} = 1 \\text{ tire}$\n\n2. **Calculate the total number of tires:**\n $10 + 9 + 1 = 20 \\text{ tires}$\n\n3. **Calculate the total cost in cents:**\n Each tire costs 25 cents.\n $20 \\text{ tires} \\times 25 \\text{ cents/tire} = 500 \\text{ cents}$\n\n4. **Convert the total cost to dollars:**\n There are 100 cents in a dollar.\n $500 \\text{ cents} \\div 100 = 5 \\text{ dollars}$\n\nAnswer: 5", "usage": {"prompt_tokens": 118, "completion_tokens": 345, "total_tokens": 463}, "error": null, "prior_errors": 0, "t0": 1793304627.725, "t1": 1793304785.355, "s": 157.63} +{"seq": 104, "idx": 147, "ok": false, "gold": "75", "reply": "To find out how many bees returned to the hive in the last 6 hours, we need to track the number of bees that left and returned in each time interval.\n\n**1. First 6 hours:**\n* Bees leaving: 30\n* Bees returning: 0\n* Current status: 30 bees are out of the hive.\n\n**2. Next 6 hours (Hours 6-12):**\n* Bees returning: $1/2$ of the bees that left first = $1/2 \\times 30 = 15$ bees.\n* Current status: 30 (initial) - 15 (returned) = 15 bees are still out of the hive.\n\n**3. Next 6 hours (Hours 12-18):**\n* Bees leaving: Two times as many as she saw first leave = $2 \\times 30 = 60$ bees.\n* Current status: 15 (already out) + 60 (newly left) = 75 bees are out of the hive.\n\n**4. Last 6 hours (Hours 18-24):**\n* The problem states: \"Every bee that left before that hadn't already returned returns to the hive in the next 6 hours.\"\n* We need to identify which bees \"left before that\" (before the 12-18 hour interval) and had not yet returned.\n* The bees that left in the first 6 hours were 30.\n* Of those 30, 15 had already returned in the second interval.\n* Therefore, the number of bees that left before the third interval and had not yet returned is $30 - 15 = 15$.\n\nThe question asks how many bees Debra saw return to the hive in the last 6 hours. According to the rule, these are the bees that left previously and hadn't returned yet.\n\nNumber of bees returning = 15.\n\nAnswer: 15", "usage": {"prompt_tokens": 153, "completion_tokens": 450, "total_tokens": 603}, "error": null, "prior_errors": 0, "t0": 1793304588.215, "t1": 1793304794.166, "s": 205.95} +{"seq": 105, "idx": 160, "ok": true, "gold": "16", "reply": "To find the water depth on Wednesday, we follow the changes day by day:\n\n1. **Monday:** The depth of the water is **17 feet**.\n2. **Tuesday:** The tank had 7 feet more water than on Monday.\n $$\\text{Tuesday's depth} = 17\\text{ feet} + 7\\text{ feet} = 24\\text{ feet}$$\n3. **Wednesday:** The depth is two-thirds of what it was on Tuesday.\n $$\\text{Wednesday's depth} = \\frac{2}{3} \\times 24\\text{ feet}$$\n $$\\text{Wednesday's depth} = 2 \\times \\frac{24}{3}$$\n $$\\text{Wednesday's depth} = 2 \\times 8 = 16\\text{ feet}$$\n\nThe tank's water depth on Wednesday is 16 feet.\n\nAnswer: 16", "usage": {"prompt_tokens": 85, "completion_tokens": 208, "total_tokens": 293}, "error": null, "prior_errors": 0, "t0": 1793304704.745, "t1": 1793304799.681, "s": 94.94} +{"seq": 106, "idx": 155, "ok": true, "gold": "280", "reply": "To find the total length of all the baked goods in feet, we need to calculate the length of each type of item and then sum them up.\n\n**1. Calculate the length of the rolls:**\n* Number of rolls: 300\n* Length of each roll: 4 inches\n* Total length in inches: $300 \\times 4 = 1200$ inches\n* Convert to feet (12 inches = 1 foot): $1200 / 12 = 100$ feet\n\n**2. Calculate the length of the chocolate croissants:**\n* Number of croissants: 120\n* Length of each croissant: 6 inches\n* Total length in inches: $120 \\times 6 = 720$ inches\n* Convert to feet: $720 / 12 = 60$ feet\n\n**3. Calculate the length of the baguettes:**\n* Number of baguettes: 60\n* Length of each baguette: 2 feet\n* Total length in feet: $60 \\times 2 = 120$ feet\n\n**4. Calculate the total length:**\n* Total length = (Length of rolls) + (Length of croissants) + (Length of baguettes)\n* Total length = $100\\text{ feet} + 60\\text{ feet} + 120\\text{ feet} = 280\\text{ feet}$\n\nAnswer: 280", "usage": {"prompt_tokens": 97, "completion_tokens": 337, "total_tokens": 434}, "error": null, "prior_errors": 0, "t0": 1793304662.734, "t1": 1793304817.368, "s": 154.63} +{"seq": 107, "idx": 153, "ok": true, "gold": "48", "reply": "To find the total number of french fries in the pack, we will work backward from the final amount.\n\n1. **The final state:** There are **5** fries left.\n2. **The ants:** Before the ants carried off one fry, there were:\n $5 + 1 = 6$ fries.\n3. **The raccoon:** The raccoon stole two-thirds of the remaining fries, leaving one-third behind. If 6 fries represent one-third of the amount before the raccoon arrived, the amount before the raccoon was:\n $6 \\times 3 = 18$ fries.\n4. **The pigeons:** Three pigeons each ate three fries, totaling $3 \\times 3 = 9$ fries. Before the pigeons ate, there were:\n $18 + 9 = 27$ fries.\n5. **The seagull:** The seagull ate half the amount that Dave ate. Dave ate 14 fries, so the seagull ate:\n $14 \\div 2 = 7$ fries.\n Before the seagull ate, there were:\n $27 + 7 = 34$ fries.\n6. **Dave:** Dave ate 14 fries at the very beginning. Before Dave ate his portion, the total number of fries was:\n $34 + 14 = 48$ fries.\n\n**Verification:**\n- Start with 48.\n- Dave eats 14: $48 - 14 = 34$.\n- Seagull eats half of 14 (7): $34 - 7 = 27$.\n- 3 pigeons eat 3 each (9): $27 - 9 = 18$.\n- Raccoon steals 2/3 of 18 (12): $18 - 12 = 6$.\n- Ants take 1: $6 - 1 = 5$.\n- 5 fries remain. (Correct)\n\nAnswer: 48", "usage": {"prompt_tokens": 128, "completion_tokens": 445, "total_tokens": 573}, "error": null, "prior_errors": 0, "t0": 1793304634.227, "t1": 1793304836.232, "s": 202.0} +{"seq": 108, "idx": 119, "ok": false, "gold": "95200", "reply": "To find the total salary both were receiving four years later, we need to calculate their individual salaries at that time.\n\n**1. Determine Adrien's salary four years ago:**\nThe problem states that Adrien earned $40,000 four years ago.\n$A_{old} = \\$40,000$\n\n**2. Determine Adrien's salary four years later:**\nThe problem states that four years later, his salary increased by 40% compared to what he was making four years ago.\n$A_{new} = A_{old} \\times (1 + 0.40)$\n$A_{new} = 40,000 \\times 1.4 = \\$56,000$\n\n**3. Determine Lylah's salary four years ago:**\nThe problem states that Adrien's total salary (four years ago) was 30% higher than Lylah's salary (four years ago).\nLet $L_{old}$ be Lylah's salary four years ago.\n$A_{old} = L_{old} \\times (1 + 0.30)$\n$40,000 = L_{old} \\times 1.3$\n$L_{old} = \\frac{40,000}{1.3} \\approx \\$30,769.23$\n\n**4. Determine Lylah's salary four years later:**\nThe problem states that \"Adrien's and Lylah's salary increased simultaneously.\" In the context of such problems, this implies they both received the same percentage increase. Since Adrien's salary increased by 40%, Lylah's salary also increased by 40%.\n$L_{new} = L_{old} \\times (1 + 0.40)$\n$L_{new} = \\frac{40,000}{1.3} \\times 1.4$\n$L_{new} = \\frac{56,000}{1.3} \\approx \\$43,076.92$\n\n**5. Calculate the total salary four years later:**\nTotal Salary = $A_{new} + L_{new}$\nTotal Salary = $56,000 + \\frac{56,000}{1.3}$\nTotal Salary = $56,000 + 43,076.923...$\nTotal Salary = $56,000 \\times (1 + \\frac{1}{1.3})$\nTotal Salary = $56,000 \\times (\\frac{2.3}{1.3})$\nTotal Salary = $\\frac{128,800}{1.3}$\nTotal Salary = $99,076.923...$\n\nWait, let's re-read: \"If Adrien's and Lylah's salary increased simultaneously\". This usually implies they both experienced the same growth rate. Let's check if there's a simpler interpretation. If \"simultaneously\" means they both increased by the same amount or percentage. Given the phrasing, the percentage increase is the standard interpretation.\n\nLet's re-calculate $L_{new}$ more precisely:\n$L_{new} = \\frac{40,000}{1.3} \\times 1.4 = \\frac{56,000}{1.3} = 43,076.923...$\nTotal = $56,000 + 43,076.923... = 99,076.923...$\n\nLet's check if \"30 percent higher\" meant $A = L + 0.3L$ or $L = A - 0.3A$. The wording \"Adrien's total salary was 30 percent higher than Lylah's\" clearly means $A = 1.3L$.\n\nLet's re-calculate:\n$A_{old} = 40,000$\n$L_{old} = 40,000 / 1.3$\n$A_{new} = 40,000 \\times 1.4 = 56,000$\n$L_{new} = (40,000 / 1.3) \\times 1.4 = 56,000 / 1.3$\nTotal = $56,000 + 56,000/1.3 = 56,000(1 + ", "usage": {"prompt_tokens": 114, "completion_tokens": 1024, "total_tokens": 1138}, "error": null, "prior_errors": 0, "t0": 1793304378.162, "t1": 1793304838.963, "s": 460.8} +{"seq": 109, "idx": 168, "ok": true, "gold": "18", "reply": "To find out how much money Jimmy has, we can follow these steps:\n\n1. **Identify Ethel's money:** The problem states that Ethel has $8.\n2. **Identify the relationship:** Jimmy has \"$2 more than twice the money Ethel has.\"\n3. **Set up the calculation:**\n * \"Twice the money Ethel has\" means: $2 \\times \\$8 = \\$16$.\n * \"$2 more than\" that amount means: $\\$16 + \\$2 = \\$18$.\n\nTherefore, Jimmy has $18.\n\nAnswer: 18", "usage": {"prompt_tokens": 55, "completion_tokens": 131, "total_tokens": 186}, "error": null, "prior_errors": 0, "t0": 1793304785.764, "t1": 1793304845.996, "s": 60.23} +{"seq": 110, "idx": 154, "ok": true, "gold": "272", "reply": "To find the total number of hours Kimo spends attending classes in one semester, we calculate the hours per week and then multiply by the number of weeks.\n\n**1. Calculate hours spent on Mondays, Wednesdays, and Fridays:**\nKimo has three 1-hour classes each day.\nHours per day = $3 \\times 1 = 3$ hours.\nDays per week = 3 (Mon, Wed, Fri).\nTotal hours for these days per week = $3 \\text{ days} \\times 3 \\text{ hours/day} = 9$ hours.\n\n**2. Calculate hours spent on Tuesdays and Thursdays:**\nKimo has two 2-hour classes each day.\nHours per day = $2 \\times 2 = 4$ hours.\nDays per week = 2 (Tue, Thu).\nTotal hours for these days per week = $2 \\text{ days} \\times 4 \\text{ hours/day} = 8$ hours.\n\n**3. Calculate total hours per week:**\nTotal hours per week = $9 \\text{ hours (M/W/F)} + 8 \\text{ hours (T/Th)} = 17$ hours.\n\n**4. Calculate total hours for the semester:**\nThe semester lasts 16 weeks.\nTotal hours = $17 \\text{ hours/week} \\times 16 \\text{ weeks}$.\n\nTo calculate $17 \\times 16$:\n$17 \\times 10 = 170$\n$17 \\times 6 = 102$\n$170 + 102 = 272$\n\nAlternatively:\n$16 \\times 16 = 256$\n$256 + 16 = 272$\n\nKimo spends 272 hours attending classes in one semester.\n\nAnswer: 272", "usage": {"prompt_tokens": 98, "completion_tokens": 415, "total_tokens": 513}, "error": null, "prior_errors": 0, "t0": 1793304658.733, "t1": 1793304849.634, "s": 190.9} +{"seq": 111, "idx": 162, "ok": true, "gold": "92", "reply": "To find the cost of the bag of marbles after 36 months, we follow these steps:\n\n1. **Identify the initial cost and the rate of increase:**\n * Initial cost ($P$) = $20\n * Increase amount = 20% of the original price = $0.20 \\times 20 = \\$4$\n * The price increases by $4 every two months.\n\n2. **Determine the number of increase periods:**\n * Total time = 36 months\n * Frequency of increase = every 2 months\n * Number of periods ($n$) = $\\frac{36 \\text{ months}}{2 \\text{ months/period}} = 18$ periods.\n\n3. **Calculate the total increase over the 36 months:**\n * Since the increase is based on the **original price** (simple interest model), the amount added each period is constant.\n * Total increase = (Number of periods) $\\times$ (Increase amount per period)\n * Total increase = $18 \\times \\$4 = \\$72$\n\n4. **Calculate the final cost:**\n * Final cost = Initial cost + Total increase\n * Final cost = $\\$20 + \\$72 = \\$92$\n\nAnswer: 92", "usage": {"prompt_tokens": 69, "completion_tokens": 295, "total_tokens": 364}, "error": null, "prior_errors": 0, "t0": 1793304721.249, "t1": 1793304856.314, "s": 135.07} +{"seq": 112, "idx": 161, "ok": true, "gold": "32", "reply": "To find the total number of fish caught by Anakin and Locsin, we first determine the number of each type of sea creature caught by each person.\n\n**1. Anakin's catches:**\n* Starfish: 10\n* Sea horses: 6\n* Clownfish: 3\n* **Total for Anakin** = $10 + 6 + 3 = 19$\n\n**2. Locsin's catches:**\n* Starfish: Anakin's starfish - 5 = $10 - 5 = 5$\n* Sea horses: Anakin's sea horses - 3 = $6 - 3 = 3$\n* Clownfish: Anakin's clownfish + 2 = $3 + 2 = 5$\n* **Total for Locsin** = $5 + 3 + 5 = 13$\n\n**3. Total catches combined:**\n* Total = Anakin's total + Locsin's total\n* Total = $19 + 13 = 32$\n\nAlternatively, we can sum each type of creature:\n* Total Starfish: $10 + 5 = 15$\n* Total Sea horses: $6 + 3 = 9$\n* Total Clownfish: $3 + 5 = 8$\n* Grand Total: $15 + 9 + 8 = 32$\n\nAnswer: 32", "usage": {"prompt_tokens": 95, "completion_tokens": 322, "total_tokens": 417}, "error": null, "prior_errors": 0, "t0": 1793304709.746, "t1": 1793304857.211, "s": 147.46} +{"seq": 113, "idx": 163, "ok": true, "gold": "50", "reply": "To find the total value of all the toys, we need to calculate the cost of each type of toy and then sum them up.\n\n**1. Identify the cost of each individual toy:**\n* **Action figure:** The problem states an action figure costs **$5**.\n* **Red car:** The problem states one red car costs **$4**.\n* **Doll:** The problem states the doll costs as much as 3 action figures.\n * Cost of doll = $3 \\times \\$5 = \\$15$.\n\n**2. Calculate the total cost for each group of toys:**\n* **Red cars:** There are 5 red cars.\n * Total cost for cars = $5 \\times \\$4 = \\$20$.\n* **Action figures:** There are 3 action figures.\n * Total cost for action figures = $3 \\times \\$5 = \\$15$.\n* **Doll:** There is 1 doll.\n * Total cost for the doll = $1 \\times \\$15 = \\$15$.\n\n**3. Calculate the total value of all toys:**\n* Total value = (Total cost of cars) + (Total cost of action figures) + (Total cost of doll)\n* Total value = $\\$20 + \\$15 + \\$15 = \\$50$.\n\nAnswer: 50", "usage": {"prompt_tokens": 85, "completion_tokens": 299, "total_tokens": 384}, "error": null, "prior_errors": 0, "t0": 1793304731.252, "t1": 1793304869.211, "s": 137.96} +{"seq": 114, "idx": 157, "ok": true, "gold": "80", "reply": "To find out how much farther the winner runs than the loser, we need to calculate the total distance covered by both Blake and Kelly.\n\n**1. Calculate Blake's distance:**\nBlake runs back and forth on a 100-yard field 15 times.\nOne \"back and forth\" trip means running the length of the field twice (100 yards there and 100 yards back).\nDistance per trip = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\nTotal distance for Blake = $15 \\text{ trips} \\times 200 \\text{ yards/trip} = 3000 \\text{ yards}$.\n\n**2. Calculate Kelly's distance:**\nKelly's run consists of two parts:\n- Part 1: She runs back and forth once on the full field.\n Distance = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\n- Part 2: She runs to the 40-yard line and back, repeating this 34 times.\n One trip to the 40-yard line and back = $40 \\text{ yards} \\times 2 = 80 \\text{ yards}$.\n Distance for 34 trips = $34 \\times 80 \\text{ yards} = 2720 \\text{ yards}$.\n\nTotal distance for Kelly = $200 \\text{ yards} + 2720 \\text{ yards} = 2920 \\text{ yards}$.\n\n**3. Compare the distances:**\nBlake's distance = 3000 yards.\nKelly's distance = 2920 yards.\nBlake is the winner.\n\n**4. Calculate the difference:**\nDifference = $3000 \\text{ yards} - 2920 \\text{ yards} = 80 \\text{ yards}$.\n\nAnswer: 80", "usage": {"prompt_tokens": 134, "completion_tokens": 437, "total_tokens": 571}, "error": null, "prior_errors": 0, "t0": 1793304674.738, "t1": 1793304875.257, "s": 200.52} +{"seq": 115, "idx": 166, "ok": true, "gold": "5", "reply": "To find out how many times Sandra has to babysit, we need to calculate the total number of eggs required and then determine how many baskets of eggs she needs to receive.\n\n1. **Calculate the total number of eggs needed:**\n Sandra needs to make 15 Spanish flans.\n Each flan requires 3 eggs.\n Total eggs needed = $15 \\text{ flans} \\times 3 \\text{ eggs/flan} = 45 \\text{ eggs}$.\n\n2. **Calculate the number of babysitting sessions required:**\n Sandra receives 9 eggs every time she babysits.\n Total eggs needed = 45 eggs.\n Number of babysitting sessions = $\\frac{45 \\text{ eggs}}{9 \\text{ eggs/session}} = 5 \\text{ sessions}$.\n\nSandra needs to babysit 5 times to get enough eggs for 15 flans.\n\nAnswer: 5", "usage": {"prompt_tokens": 90, "completion_tokens": 205, "total_tokens": 295}, "error": null, "prior_errors": 0, "t0": 1793304780.262, "t1": 1793304876.442, "s": 96.18} +{"seq": 116, "idx": 165, "ok": true, "gold": "77", "reply": "To find out how much money Elvira will have left for her clothing, we need to subtract the total cost of the computer accessories from her total budget.\n\n**1. Calculate the total cost of the items:**\n* Computer (machine, screen, keyboard, mouse): \u20ac1090\n* Scanner: \u20ac157\n* CD burner: \u20ac74\n* Printer: \u20ac102\n\nTotal Cost = \u20ac1090 + \u20ac157 + \u20ac74 + \u20ac102\n\nLet's add them step by step:\n$1090 + 157 = 1247$\n$1247 + 74 = 1321$\n$1321 + 102 = 1423$\n\nTotal Cost = \u20ac1423\n\n**2. Calculate the remaining money:**\n* Total Budget: \u20ac1500\n* Total Cost: \u20ac1423\n\nRemaining Money = Total Budget - Total Cost\nRemaining Money = \u20ac1500 - \u20ac1423\nRemaining Money = \u20ac77\n\nElvira will have \u20ac77 left for her clothing.\n\nAnswer: 77", "usage": {"prompt_tokens": 145, "completion_tokens": 265, "total_tokens": 410}, "error": null, "prior_errors": 0, "t0": 1793304763.259, "t1": 1793304886.795, "s": 123.54} +{"seq": 117, "idx": 169, "ok": true, "gold": "120", "reply": "To find the total number of miles Pancho walks in a week, we need to calculate his walking distance for weekdays and weekends separately.\n\n1. **Identify the number of weekdays and weekend days in a week:**\n * Weekdays (Monday through Friday): 5 days\n * Weekend days (Saturday and Sunday): 2 days\n\n2. **Calculate the distance walked on weekdays:**\n * Pancho walks 20 miles per day on weekdays.\n * $5 \\text{ days} \\times 20 \\text{ miles/day} = 100 \\text{ miles}$.\n\n3. **Calculate the distance walked on weekends:**\n * Pancho walks 10 miles per day on weekends.\n * $2 \\text{ days} \\times 10 \\text{ miles/day} = 20 \\text{ miles}$.\n\n4. **Calculate the total distance for the week:**\n * $\\text{Total distance} = \\text{Weekday distance} + \\text{Weekend distance}$\n * $100 \\text{ miles} + 20 \\text{ miles} = 120 \\text{ miles}$.\n\nAnswer: 120", "usage": {"prompt_tokens": 60, "completion_tokens": 270, "total_tokens": 330}, "error": null, "prior_errors": 0, "t0": 1793304794.266, "t1": 1793304917.831, "s": 123.56} +{"seq": 118, "idx": 170, "ok": true, "gold": "150", "reply": "To find the total cost of each uniform, we need to calculate the cost of each individual item: the hat, the jacket, and the pants.\n\n1. **Cost of the hat:**\n The problem states the hat costs $25.\n $\\text{Hat} = \\$25$\n\n2. **Cost of the jacket:**\n The jacket costs three times as much as the hat.\n $\\text{Jacket} = 3 \\times \\$25 = \\$75$\n\n3. **Cost of the pants:**\n The pants cost the average of the costs of the hat and the jacket.\n $\\text{Pants} = \\frac{\\text{Hat} + \\text{Jacket}}{2}$\n $\\text{Pants} = \\frac{\\$25 + \\$75}{2} = \\frac{\\$100}{2} = \\$50$\n\n4. **Total cost of the uniform:**\n The total cost is the sum of the hat, the jacket, and the pants.\n $\\text{Total} = \\text{Hat} + \\text{Jacket} + \\text{Pants}$\n $\\text{Total} = \\$25 + \\$75 + \\$50$\n $\\text{Total} = \\$150$\n\nAnswer: 150", "usage": {"prompt_tokens": 84, "completion_tokens": 294, "total_tokens": 378}, "error": null, "prior_errors": 0, "t0": 1793304799.768, "t1": 1793304933.754, "s": 133.99} +{"seq": 119, "idx": 171, "ok": true, "gold": "1210", "reply": "To find the total number of legs Jake sees, we need to calculate the number of legs for each group of creatures and then sum them up.\n\n1. **Spiders:**\n Jake sees 80 spiders, and each spider has 8 legs.\n $80 \\times 8 = 640$ legs.\n\n2. **Insects:**\n Jake sees 90 insects, and each insect has 6 legs.\n $90 \\times 6 = 540$ legs.\n\n3. **Mutant Invertebrates:**\n Jake sees 3 mutant invertebrates, and each has 10 legs.\n $3 \\times 10 = 30$ legs.\n\n4. **Total Legs:**\n Now, add the legs from all three groups together:\n $640 + 540 + 30$\n\n First, add 640 and 540:\n $640 + 540 = 1180$\n\n Then, add 30 to that sum:\n $1180 + 30 = 1210$\n\nJake sees a total of 1210 legs.\n\nAnswer: 1210", "usage": {"prompt_tokens": 81, "completion_tokens": 279, "total_tokens": 360}, "error": null, "prior_errors": 0, "t0": 1793304817.772, "t1": 1793304945.354, "s": 127.58} +{"seq": 120, "idx": 164, "ok": true, "gold": "15", "reply": "To find out how much more money Jackie will have if she hires the accountant, we need to compare the two scenarios: doing the taxes herself versus hiring an accountant.\n\n**Scenario 1: Doing the taxes herself**\nIn this scenario, Jackie saves the cost of the accountant, but she loses income from freelance work.\n- Cost of accountant avoided: $+\\$90$\n- Lost freelance income: $3 \\text{ hours} \\times \\$35/\\text{hour} = \\$105$\n- Net change in Scenario 1 compared to Scenario 2: $-\\$105$ (loss of income) $+ \\$90$ (savings on accountant) is not the right way to look at it. Let's calculate the total \"cost\" of each option relative to a baseline.\n\n**Scenario 2: Hiring an accountant**\n- Cost of accountant: $\\$90$\n- Freelance income: Full amount (no hours lost)\n\n**Comparison:**\nLet $I$ be the total income Jackie would earn if she had no taxes to do at all.\n- **If she does them herself:** She earns $(I - \\$105)$ because she loses 3 hours of work.\n- **If she hires an accountant:** She earns $(I - \\$90)$ because she pays the accountant but keeps all her work hours.\n\nTo find how much more money she has with the accountant, we subtract the \"Self\" total from the \"Accountant\" total:\n$\\text{Difference} = (I - 90) - (I - 105)$\n$\\text{Difference} = -90 + 105$\n$\\text{Difference} = 15$\n\nAlternatively, looking at the costs:\n- Cost of doing it herself: $\\$105$ (in lost wages)\n- Cost of hiring an accountant: $\\$90$ (in fees)\n\nSince the cost of hiring the accountant ($90) is less than the cost of losing freelance hours ($105), she comes out ahead by the difference.\n$\\$105 - \\$90 = \\$15$\n\nAnswer: 15", "usage": {"prompt_tokens": 97, "completion_tokens": 460, "total_tokens": 557}, "error": null, "prior_errors": 0, "t0": 1793304739.254, "t1": 1793304949.301, "s": 210.05} +{"seq": 121, "idx": 176, "ok": true, "gold": "100", "reply": "To find the number of girls on the Chinese team, we follow these steps:\n\n1. **Find the total number of Chinese participants:**\n The total number of Asians is 240.\n The number of Japanese participants is 80.\n The rest are Chinese, so:\n Total Chinese = Total Asians - Japanese\n Total Chinese = 240 - 80 = 160\n\n2. **Find the number of girls on the Chinese team:**\n We are told that the number of boys on the Chinese team is 60.\n The total number of Chinese participants is the sum of the boys and the girls on that team.\n Total Chinese = Boys (Chinese) + Girls (Chinese)\n 160 = 60 + Girls (Chinese)\n Girls (Chinese) = 160 - 60\n Girls (Chinese) = 100\n\nAnswer: 100", "usage": {"prompt_tokens": 74, "completion_tokens": 207, "total_tokens": 281}, "error": null, "prior_errors": 0, "t0": 1793304856.782, "t1": 1793304951.349, "s": 94.57} +{"seq": 122, "idx": 172, "ok": true, "gold": "51", "reply": "To find the total age of the four birds, we need to determine the age of each bird based on the information provided.\n\n1. **Sally Thirtytwo**: The problem states that Sally Thirtytwo is 8 years old.\n * Sally Thirtytwo = 8\n\n2. **Sally Four**: The problem states that Sally Four is the same age as Sally Thirtytwo.\n * Sally Four = 8\n\n3. **Granny Red**: The problem states that Granny Red is two times as old as Sally Four.\n * Granny Red = 2 * Sally Four\n * Granny Red = 2 * 8 = 16\n\n4. **Sally Two**: The problem states that Sally Two is three years older than Granny Red.\n * Sally Two = Granny Red + 3\n * Sally Two = 16 + 3 = 19\n\nNow, we calculate the total age of the four birds by adding their ages together:\nTotal Age = Sally Two + Granny Red + Sally Four + Sally Thirtytwo\nTotal Age = 19 + 16 + 8 + 8\n\nCalculation:\n19 + 16 = 35\n35 + 8 = 43\n43 + 8 = 51\n\nAnswer: 51", "usage": {"prompt_tokens": 92, "completion_tokens": 286, "total_tokens": 378}, "error": null, "prior_errors": 0, "t0": 1793304836.276, "t1": 1793304967.948, "s": 131.67} +{"seq": 123, "idx": 179, "ok": true, "gold": "130", "reply": "To find out how much Lloyd earned for the first two weeks, we can follow these steps:\n\n1. **Calculate the total number of hours tutored:**\n * Hours in the first week: 5 hours\n * Hours in the second week: 8 hours\n * Total hours = 5 + 8 = 13 hours\n\n2. **Calculate the total earnings:**\n * Hourly rate: $10 per hour\n * Total earnings = Total hours \u00d7 Hourly rate\n * Total earnings = 13 hours \u00d7 $10/hour = $130\n\nAlternatively, you can calculate the earnings for each week separately and then add them:\n* Earnings for the first week: 5 hours \u00d7 $10 = $50\n* Earnings for the second week: 8 hours \u00d7 $10 = $80\n* Total earnings = $50 + $80 = $130\n\nAnswer: 130", "usage": {"prompt_tokens": 71, "completion_tokens": 215, "total_tokens": 286}, "error": null, "prior_errors": 0, "t0": 1793304875.288, "t1": 1793304972.787, "s": 97.5} +{"seq": 124, "idx": 167, "ok": true, "gold": "16", "reply": "To find Seth's age, we can set up a system of equations based on the information provided.\n\n**1. Define the variables:**\nLet $S$ be Seth's current age.\nLet $B$ be Brooke's current age.\n\n**2. Set up the equations based on the problem statement:**\n* \"Seth is twice as old as Brooke\":\n $S = 2B$ (Equation 1)\n* \"In 2 years, the sum of their ages will be 28\":\n In 2 years, Seth's age will be $(S + 2)$ and Brooke's age will be $(B + 2)$.\n $(S + 2) + (B + 2) = 28$ (Equation 2)\n\n**3. Simplify Equation 2:**\n$S + B + 4 = 28$\n$S + B = 24$\n\n**4. Substitute Equation 1 into the simplified Equation 2:**\nSince $S = 2B$, we can replace $S$ in the equation $S + B = 24$:\n$2B + B = 24$\n$3B = 24$\n$B = 8$\n\n**5. Solve for Seth's age ($S$):**\nUsing Equation 1 ($S = 2B$):\n$S = 2(8)$\n$S = 16$\n\n**6. Verify the result:**\nIf Seth is 16 and Brooke is 8:\n* Seth is twice as old as Brooke ($16 = 2 \\times 8$). Correct.\n* In 2 years, Seth will be 18 and Brooke will be 10.\n* The sum of their ages in 2 years: $18 + 10 = 28$. Correct.\n\nAnswer: 16", "usage": {"prompt_tokens": 58, "completion_tokens": 417, "total_tokens": 475}, "error": null, "prior_errors": 0, "t0": 1793304782.763, "t1": 1793304974.752, "s": 191.99} +{"seq": 125, "idx": 178, "ok": true, "gold": "122", "reply": "To find the total number of crabs, we need to determine how many crabs each person has.\n\n1. **Bo's crabs:** The problem states that Bo has **40** crabs.\n2. **Monic's crabs:** Monic has 4 fewer crabs than Bo.\n Monic = Bo - 4\n Monic = 40 - 4 = **36** crabs.\n3. **Rani's crabs:** Rani has ten more crabs than Monic.\n Rani = Monic + 10\n Rani = 36 + 10 = **46** crabs.\n\n4. **Total crabs:** To find the total, add the number of crabs each person has:\n Total = Rani + Monic + Bo\n Total = 46 + 36 + 40\n\n Calculation:\n 46 + 36 = 82\n 82 + 40 = 122\n\nThe total number of crabs the three have together is 122.\n\nAnswer: 122", "usage": {"prompt_tokens": 67, "completion_tokens": 239, "total_tokens": 306}, "error": null, "prior_errors": 0, "t0": 1793304869.286, "t1": 1793304978.525, "s": 109.24} +{"seq": 126, "idx": 174, "ok": true, "gold": "95", "reply": "To find out how long it will take Billy to prep the potatoes, we need to calculate the total time spent per potato and then multiply that by the total number of potatoes.\n\n**1. Calculate the time spent on one potato:**\n* **Peeling time:** 1 minute and 30 seconds (since 1.5 minutes = 90 seconds).\n* **Cutting time:** 5 seconds.\n* **Total time per potato:** 90 seconds + 5 seconds = 95 seconds.\n\n**2. Calculate the total time for 60 potatoes:**\n* **Total time in seconds:** $60 \\text{ potatoes} \\times 95 \\text{ seconds/potato} = 5,700 \\text{ seconds}$.\n\n**3. Convert the total time into minutes:**\n* **Total time in minutes:** $5,700 \\text{ seconds} \\div 60 \\text{ seconds/minute} = 95 \\text{ minutes}$.\n\n**4. Convert the total time into hours and minutes (optional, but helpful for clarity):**\n* 95 minutes is equal to 1 hour and 35 minutes.\n\nThe question asks how long it will take him to finish prepping the potatoes. Expressing the answer in minutes is standard for this type of problem.\n\nAnswer: 95", "usage": {"prompt_tokens": 127, "completion_tokens": 293, "total_tokens": 420}, "error": null, "prior_errors": 0, "t0": 1793304846.279, "t1": 1793304981.332, "s": 135.05} +{"seq": 127, "idx": 175, "ok": true, "gold": "15", "reply": "To find out how much they spent on lemons, we first need to determine how many gallons of lemonade they made.\n\n**1. Calculate the cost and revenue per gallon:**\n* **Cost per gallon:**\n * Lemons: $3\n * Sugar: $2\n * Total cost per gallon = $3 + $2 = $5\n* **Revenue per gallon:**\n * They sell 20 glasses per gallon at $0.50 each.\n * Total revenue per gallon = 20 * $0.50 = $10\n\n**2. Calculate the profit per gallon:**\n* Profit = Revenue - Cost\n* Profit per gallon = $10 - $5 = $5\n\n**3. Calculate the number of gallons made:**\n* We know the total profit is $25.\n* Total Profit = (Profit per gallon) \u00d7 (Number of gallons)\n* $25 = $5 \u00d7 (Number of gallons)\n* Number of gallons = $25 / $5 = 5 gallons\n\n**4. Calculate the total amount spent on lemons:**\n* The cost of lemons per gallon is $3.\n* Total spent on lemons = (Cost of lemons per gallon) \u00d7 (Number of gallons)\n* Total spent on lemons = $3 \u00d7 5 = $15\n\nAnswer: 15", "usage": {"prompt_tokens": 91, "completion_tokens": 304, "total_tokens": 395}, "error": null, "prior_errors": 0, "t0": 1793304849.78, "t1": 1793304989.498, "s": 139.72} +{"seq": 128, "idx": 173, "ok": true, "gold": "18000", "reply": "To find out how much Jessica pays in a year, we first calculate her total monthly minimum payments and then apply the 50% increase.\n\n1. **Calculate the total monthly minimum payment:**\n * Student loans: $300\n * Credit card: $200\n * Mortgage: $500\n * Total minimum monthly payment = $300 + $200 + $500 = $1,000\n\n2. **Calculate the monthly payment with a 50% increase:**\n * Jessica wants to pay 50% more than the minimum.\n * 50% of $1,000 = $500\n * Total monthly payment = $1,000 + $500 = $1,500\n *(Alternatively: $1,000 \\times 1.5 = $1,500)*\n\n3. **Calculate the total annual payment:**\n * There are 12 months in a year.\n * Total annual payment = $1,500 \\times 12$\n * $1,500 \\times 10 = 15,000$\n * $1,500 \\times 2 = 3,000$\n * $15,000 + 3,000 = 18,000$\n\nJessica pays $18,000 in a year.\n\nAnswer: 18000", "usage": {"prompt_tokens": 112, "completion_tokens": 350, "total_tokens": 462}, "error": null, "prior_errors": 0, "t0": 1793304839.277, "t1": 1793305000.552, "s": 161.27} +{"seq": 129, "idx": 181, "ok": true, "gold": "160", "reply": "To find the number of red roses Fred must deliver, we need to determine the total number of red roses Sandra ordered based on the information provided.\n\n1. **Find the number of white carnations:**\n We are told that the number of pink calla lilies (200) is five times the number of white carnations.\n Let $C$ be the number of white carnations.\n $5 \\times C = 200$\n $C = 200 / 5$\n $C = 40$\n So, there are 40 white carnations.\n\n2. **Find the number of red roses:**\n We are told that Sandra ordered four times as many red roses as white carnations.\n Let $R$ be the number of red roses.\n $R = 4 \\times C$\n $R = 4 \\times 40$\n $R = 160$\n\nThe problem asks how many red roses Fred must deliver to fulfill the order. Since the order is \"incomplete\" and the goal is to fulfill the total order of red roses, Fred must deliver the total amount ordered.\n\nAnswer: 160", "usage": {"prompt_tokens": 123, "completion_tokens": 262, "total_tokens": 385}, "error": null, "prior_errors": 0, "t0": 1793304887.291, "t1": 1793305006.732, "s": 119.44} +{"seq": 130, "idx": 180, "ok": true, "gold": "20", "reply": "To find the number of votes the loser got, we can follow these steps:\n\n1. **Identify the total number of votes:**\n The total number of students who voted is 80.\n\n2. **Calculate the number of votes the winner received:**\n The winner received $\\frac{3}{4}$ of the total votes.\n $$\\text{Winner's votes} = \\frac{3}{4} \\times 80$$\n $$\\text{Winner's votes} = 3 \\times 20 = 60$$\n\n3. **Calculate the number of votes the loser received:**\n Since there are only two candidates, the loser's votes are the total votes minus the winner's votes.\n $$\\text{Loser's votes} = \\text{Total votes} - \\text{Winner's votes}$$\n $$\\text{Loser's votes} = 80 - 60 = 20$$\n\n**Alternative Method:**\nIf the winner got $\\frac{3}{4}$ of the votes, the loser must have received the remaining fraction of the votes.\n$$\\text{Loser's fraction} = 1 - \\frac{3}{4} = \\frac{1}{4}$$\n$$\\text{Loser's votes} = \\frac{1}{4} \\times 80 = 20$$\n\nAnswer: 20", "usage": {"prompt_tokens": 79, "completion_tokens": 307, "total_tokens": 386}, "error": null, "prior_errors": 0, "t0": 1793304876.788, "t1": 1793305016.175, "s": 139.39} +{"seq": 131, "idx": 191, "ok": true, "gold": "5", "reply": "To find out how many pounds of insects the flock of ten ducks needs per day, follow these steps:\n\n1. **Calculate the total amount of insects needed by the flock per week:**\n Each duck needs 3.5 pounds per week.\n For 10 ducks: $10 \\times 3.5 = 35$ pounds per week.\n\n2. **Calculate the amount of insects needed per day:**\n There are 7 days in a week. To find the daily amount, divide the weekly total by 7.\n $35 \\text{ pounds} / 7 \\text{ days} = 5$ pounds per day.\n\nAnswer: 5", "usage": {"prompt_tokens": 66, "completion_tokens": 149, "total_tokens": 215}, "error": null, "prior_errors": 0, "t0": 1793304981.814, "t1": 1793305048.208, "s": 66.39} +{"seq": 132, "idx": 185, "ok": true, "gold": "30", "reply": "To find the total number of apples picked by Jenna and her mother, we can follow these steps:\n\n1. **Identify the number of apples the mother picked:**\n The problem states that the mother picked 20 apples.\n\n2. **Calculate the number of apples Jenna picked:**\n The problem states that Jenna picked half as many apples as her mom.\n $\\text{Jenna's apples} = \\frac{1}{2} \\times \\text{Mother's apples}$\n $\\text{Jenna's apples} = \\frac{1}{2} \\times 20 = 10$\n\n3. **Calculate the total number of apples picked by both:**\n To find the total, add the mother's apples and Jenna's apples together.\n $\\text{Total apples} = \\text{Mother's apples} + \\text{Jenna's apples}$\n $\\text{Total apples} = 20 + 10 = 30$\n\nAnswer: 30", "usage": {"prompt_tokens": 69, "completion_tokens": 225, "total_tokens": 294}, "error": null, "prior_errors": 0, "t0": 1793304949.305, "t1": 1793305051.547, "s": 102.24} +{"seq": 133, "idx": 177, "ok": true, "gold": "350", "reply": "To find out how much money Zaid has left, we will calculate each expense step-by-step based on his monthly salary of $6,000.\n\n1. **Calculate Rent:**\n Zaid spends $\\frac{1}{4}$ of his salary on rent.\n $\\text{Rent} = \\frac{1}{4} \\times 6000 = 1500$\n\n2. **Calculate Car Fuel:**\n Zaid spends $\\frac{1}{3}$ of his salary on car fuel.\n $\\text{Car Fuel} = \\frac{1}{3} \\times 6000 = 2000$\n\n3. **Calculate the Remaining Amount after Rent and Fuel:**\n $\\text{Total spent on Rent and Fuel} = 1500 + 2000 = 3500$\n $\\text{Remaining Amount} = 6000 - 3500 = 2500$\n\n4. **Calculate Donation to Charity:**\n He donates half of the remaining amount to charity.\n $\\text{Donation} = \\frac{1}{2} \\times 2500 = 1250$\n\n5. **Calculate the Remaining Amount after Donation:**\n $\\text{Remaining Amount} = 2500 - 1250 = 1250$\n\n6. **Calculate Expenses for Daughter and Wife:**\n Zaid gives $200 to his daughter and $700 to his wife.\n $\\text{Total for Daughter and Wife} = 200 + 700 = 900$\n\n7. **Calculate Final Remaining Amount:**\n Subtract the money given to his daughter and wife from the current remaining amount.\n $\\text{Final Amount} = 1250 - 900 = 350$\n\nAnswer: 350", "usage": {"prompt_tokens": 122, "completion_tokens": 431, "total_tokens": 553}, "error": null, "prior_errors": 0, "t0": 1793304857.283, "t1": 1793305053.252, "s": 195.97} +{"seq": 134, "idx": 190, "ok": true, "gold": "360", "reply": "To find the total number of peaches John collects, we need to calculate the total number of minutes he spends collecting and then multiply that by his collection rate.\n\n1. **Calculate the total number of minutes:**\n John collects peaches for 3 hours.\n Since there are 60 minutes in 1 hour:\n $3 \\text{ hours} \\times 60 \\text{ minutes/hour} = 180 \\text{ minutes}$\n\n2. **Calculate the total number of peaches:**\n John collects 2 peaches per minute.\n Total peaches = (Total minutes) $\\times$ (Peaches per minute)\n $180 \\text{ minutes} \\times 2 \\text{ peaches/minute} = 360 \\text{ peaches}$\n\nAnswer: 360", "usage": {"prompt_tokens": 55, "completion_tokens": 178, "total_tokens": 233}, "error": null, "prior_errors": 0, "t0": 1793304978.813, "t1": 1793305059.101, "s": 80.29} +{"seq": 135, "idx": 194, "ok": true, "gold": "10", "reply": "To find out how much change Violetta will get, follow these steps:\n\n1. **Calculate the total cost of the crayons:**\n Violetta needs 5 different colors, and each crayon costs $2.\n Total cost = Number of crayons \u00d7 Cost per crayon\n Total cost = 5 \u00d7 $2 = $10\n\n2. **Calculate the change:**\n Violetta prepared $20 for the purchase.\n Change = Amount prepared - Total cost\n Change = $20 - $10 = $10\n\nVioletta will get $10 in change.\n\nAnswer: 10", "usage": {"prompt_tokens": 67, "completion_tokens": 134, "total_tokens": 201}, "error": null, "prior_errors": 0, "t0": 1793305006.82, "t1": 1793305067.675, "s": 60.85} +{"seq": 136, "idx": 183, "ok": true, "gold": "2", "reply": "To find the difference in time between the two teams, we need to calculate the total time for each team.\n\n**Team 1 (Well-rounded team):**\nEach of the four members runs 400 meters in 55 seconds.\nTotal time for Team 1 = $55 + 55 + 55 + 55 = 220$ seconds.\n\n**Team 2 (Less well-rounded team):**\nThe first runner's time is 60 seconds. Each subsequent runner is 3 seconds faster (meaning their time is 3 seconds less) than the previous runner.\n- Runner 1: 60 seconds\n- Runner 2: $60 - 3 = 57$ seconds\n- Runner 3: $57 - 3 = 54$ seconds\n- Runner 4: $54 - 3 = 51$ seconds\n\nTotal time for Team 2 = $60 + 57 + 54 + 51$\nTo calculate this quickly: $60 + 57 + 54 + 51 = 222$ seconds.\n\n**Comparison:**\nTeam 1's total time is 220 seconds.\nTeam 2's total time is 222 seconds.\n\nTeam 1 is the faster team.\nThe difference in time is $222 - 220 = 2$ seconds.\n\nAnswer: 2", "usage": {"prompt_tokens": 165, "completion_tokens": 319, "total_tokens": 484}, "error": null, "prior_errors": 0, "t0": 1793304933.801, "t1": 1793305079.61, "s": 145.81} +{"seq": 137, "idx": 195, "ok": true, "gold": "12", "reply": "To find the total cost of 8 pens, we first need to determine the cost of a single pen.\n\n1. **Calculate the cost of one pen:**\n The problem states that a pen costs as much as a pencil and an eraser combined.\n Cost of a pencil = $1.20\n Cost of an eraser = $0.30\n Cost of one pen = $1.20 + $0.30 = $1.50\n\n2. **Calculate the cost of 8 pens:**\n Since one pen costs $1.50, we multiply the cost of one pen by 8.\n Total cost = 8 \u00d7 $1.50\n Total cost = $12.00\n\nAnswer: 12.00", "usage": {"prompt_tokens": 67, "completion_tokens": 171, "total_tokens": 238}, "error": null, "prior_errors": 0, "t0": 1793305016.323, "t1": 1793305091.641, "s": 75.32} +{"seq": 138, "idx": 189, "ok": true, "gold": "34", "reply": "To find out how much each friend paid, we need to calculate the total amount spent by the group and then divide that total by three.\n\n**1. Calculate the cost of the tickets:**\nThe problem states the total cost for 3 tickets is **$20.25**.\n\n**2. Calculate the cost of the food:**\nThe friends spent $4.50 less on food than on the tickets.\nCost of food = $20.25 - $4.50 = **$15.75**.\n\n**3. Calculate the cost of the rides:**\nThey went on 2 different rides, and each ride costs $33.\nCost of rides = 2 \u00d7 $33 = **$66.00**.\n\n**4. Calculate the total cost for all three friends:**\nTotal Cost = Cost of tickets + Cost of food + Cost of rides\nTotal Cost = $20.25 + $15.75 + $66.00\nTotal Cost = $36.00 + $66.00 = **$102.00**.\n\n**5. Calculate how much each person paid:**\nSince there are three friends and they split the costs evenly:\nAmount per person = Total Cost / 3\nAmount per person = $102.00 / 3 = **$34.00**.\n\nAnswer: 34.00", "usage": {"prompt_tokens": 97, "completion_tokens": 308, "total_tokens": 405}, "error": null, "prior_errors": 0, "t0": 1793304974.812, "t1": 1793305109.316, "s": 134.5} +{"seq": 139, "idx": 188, "ok": true, "gold": "50", "reply": "To find the number of bags sold, we can set up an equation based on the cost, revenue, and profit.\n\n**1. Identify the cost per bag:**\n* Purchase price per bag = $20\n* Transportation cost per bag = $2\n* Total cost per bag = $20 + $2 = $22\n\n**2. Identify the selling price per bag:**\n* Selling price per bag = $30\n\n**3. Calculate the profit per bag:**\n* Profit per bag = Selling price - Total cost per bag\n* Profit per bag = $30 - $22 = $8\n\n**4. Set up the equation for total profit:**\nLet $x$ be the number of bags sold.\n* Total Profit = (Profit per bag) \u00d7 (Number of bags)\n* $400 = 8 \\times x$\n\n**5. Solve for $x$:**\n* $x = 400 / 8$\n* $x = 50$\n\n**Verification:**\n* Total Cost = 50 bags \u00d7 $22/bag = $1,100\n* Total Revenue = 50 bags \u00d7 $30/bag = $1,500\n* Total Profit = $1,500 - $1,100 = $400\n\nThe trader sold 50 bags.\n\nAnswer: 50", "usage": {"prompt_tokens": 98, "completion_tokens": 315, "total_tokens": 413}, "error": null, "prior_errors": 0, "t0": 1793304972.811, "t1": 1793305110.826, "s": 138.02} +{"seq": 140, "idx": 196, "ok": true, "gold": "120", "reply": "To find out how many pounds of carrots will not be used, we follow these steps:\n\n1. **Calculate the total amount of carrots distributed:**\n There are 40 restaurants, and each restaurant receives 2 pounds of carrots.\n Total distributed = $40 \\text{ restaurants} \\times 2 \\text{ pounds/restaurant} = 80 \\text{ pounds}$.\n\n2. **Calculate the amount of carrots remaining:**\n The total amount of carrots available is 200 pounds.\n Remaining carrots = Total available - Total distributed\n Remaining carrots = $200 \\text{ pounds} - 80 \\text{ pounds} = 120 \\text{ pounds}$.\n\nAnswer: 120", "usage": {"prompt_tokens": 70, "completion_tokens": 161, "total_tokens": 231}, "error": null, "prior_errors": 0, "t0": 1793305048.329, "t1": 1793305115.851, "s": 67.52} +{"seq": 141, "idx": 193, "ok": true, "gold": "24", "reply": "To find out how many more pink plastic flamingos there were than white plastic flamingos, we will track the number of each color step-by-step.\n\n1. **Friday morning:**\n The neighbors place 18 pink flamingos in the yard.\n * Pink: 18\n * White: 0\n\n2. **Saturday morning:**\n The neighbors take back one third of the flamingos, paint them white, and put them back.\n * One third of 18 is: $18 \\div 3 = 6$.\n * They take 6 pink flamingos and turn them white.\n * Remaining pink flamingos: $18 - 6 = 12$.\n * New white flamingos: 6.\n * Current count: Pink = 12, White = 6.\n\n3. **Sunday morning:**\n The neighbors add another 18 pink plastic flamingos to the collection.\n * Pink flamingos: $12 + 18 = 30$.\n * White flamingos: 6 (remains the same).\n\n4. **At noon on Sunday:**\n We need to find how many more pink flamingos there are than white flamingos.\n * Difference = Pink - White\n * Difference = $30 - 6 = 24$.\n\nThere are 24 more pink plastic flamingos than white plastic flamingos.\n\nAnswer: 24", "usage": {"prompt_tokens": 151, "completion_tokens": 331, "total_tokens": 482}, "error": null, "prior_errors": 0, "t0": 1793305000.819, "t1": 1793305137.011, "s": 136.19} +{"seq": 142, "idx": 184, "ok": true, "gold": "25", "reply": "To find the difference in probability, we first calculate the probability of each event.\n\n**1. Probability of rolling a number greater than 3:**\nA six-sided die has the outcomes $\\{1, 2, 3, 4, 5, 6\\}$.\nThe numbers greater than 3 are $\\{4, 5, 6\\}$.\nThere are 3 favorable outcomes out of 6 possible outcomes.\n$P(\\text{greater than 3}) = \\frac{3}{6} = \\frac{1}{2} = 0.5$ (or $50\\%$).\n\n**2. Probability of rolling two even numbers in a row:**\nThe probability of rolling an even number in a single roll is $\\frac{3}{6} = \\frac{1}{2}$ (the even numbers are $\\{2, 4, 6\\}$).\nSince the two rolls are independent, the probability of rolling two even numbers in a row is the product of the individual probabilities:\n$P(\\text{two even numbers}) = \\frac{1}{2} \\times \\frac{1}{2} = \\frac{1}{4} = 0.25$ (or $25\\%$).\n\n**3. Calculating the difference:**\nThe question asks how much more likely the first event is than the second, expressed as a percentage.\nDifference in probability = $P(\\text{greater than 3}) - P(\\text{two even numbers})$\nDifference = $0.5 - 0.25 = 0.25$.\n\nTo express this difference as a percentage of the total probability space (or simply the difference in percentage points):\n$0.25 = 25\\%$.\n\n(Note: If the question meant \"how many times more likely\", the answer would be $0.5 / 0.25 = 2$ times, but \"how much more likely... expressed as a percentage\" typically refers to the difference in percentage points).\n\nDifference = $50\\% - 25\\% = 25\\%$.\n\nAnswer: 25%", "usage": {"prompt_tokens": 70, "completion_tokens": 449, "total_tokens": 519}, "error": null, "prior_errors": 0, "t0": 1793304945.803, "t1": 1793305137.037, "s": 191.23} +{"seq": 143, "idx": 192, "ok": true, "gold": "91", "reply": "To find the number of trees Tom has left after 10 years, we follow these steps:\n\n1. **Calculate the net growth of trees per year:**\n Tom plants 10 trees and chops down 2 trees every year.\n Net growth per year = $10 - 2 = 8$ trees.\n\n2. **Calculate the total number of trees added over 10 years:**\n Over 10 years, the net growth is:\n $8 \\text{ trees/year} \\times 10 \\text{ years} = 80$ trees.\n\n3. **Calculate the total number of trees before any die:**\n Tom started with 50 trees.\n Total trees = $\\text{Starting trees} + \\text{Net growth}$\n Total trees = $50 + 80 = 130$ trees.\n\n4. **Calculate how many trees die:**\n After 10 years, 30% of the trees die.\n Number of trees that die = $30\\% \\text{ of } 130$\n Number of trees that die = $0.30 \\times 130 = 39$ trees.\n\n5. **Calculate the final number of trees remaining:**\n Remaining trees = $\\text{Total trees} - \\text{Trees that died}$\n Remaining trees = $130 - 39 = 91$ trees.\n\nAlternatively, if 30% die, 70% remain:\n$130 \\times 0.70 = 91$.\n\nAnswer: 91", "usage": {"prompt_tokens": 84, "completion_tokens": 360, "total_tokens": 444}, "error": null, "prior_errors": 0, "t0": 1793304989.816, "t1": 1793305138.277, "s": 148.46} +{"seq": 144, "idx": 197, "ok": true, "gold": "6277", "reply": "To find the number of children in the city of Soda, we need to subtract the number of men and women from the total population.\n\n1. **Identify the total population:** 23,786\n2. **Identify the number of men:** 8,417\n3. **Identify the number of women:** 9,092\n4. **Calculate the total number of adults (men + women):**\n $8,417 + 9,092 = 17,509$\n5. **Subtract the total number of adults from the total population to find the number of children:**\n $23,786 - 17,509 = 6,277$\n\nAlternatively, you can subtract them one by one:\n$23,786 - 8,417 = 15,369$\n$15,369 - 9,092 = 6,277$\n\nAnswer: 6277", "usage": {"prompt_tokens": 81, "completion_tokens": 233, "total_tokens": 314}, "error": null, "prior_errors": 0, "t0": 1793305051.831, "t1": 1793305142.11, "s": 90.28} +{"seq": 145, "idx": 159, "ok": false, "gold": "15", "reply": "To find out how many tadpoles Finn can see in the pond now, we need to track the number of visible tadpoles based on the information provided.\n\n1. **Initial state:** Finn is watching 11 tadpoles. However, the problem implies these are the tadpoles in the pond, but it doesn't explicitly state they are all visible. Let's look at the actions to determine the \"visible\" count.\n2. **Action 1:** \"He sees 6 of them come out of hiding.\" This means 6 tadpoles that were previously hidden are now visible.\n3. **Action 2:** \"He sees 2 of them hide under a rock.\" This means 2 tadpoles that were previously visible are now hidden.\n\nWait, let's re-read carefully: \"Finn watches 11 tadpoles swimming in the pond.\" This implies all 11 are currently visible.\n- If all 11 are visible:\n- 6 come out of hiding: This implies they were part of the 11 but were \"hidden\" (this is a contradiction if he is already watching 11 swimming). \n\nLet's re-interpret:\nThe total number of tadpoles in the pond is 11.\n- Initially, Finn is watching 11 tadpoles. This means 11 are visible.\n- \"Suddenly he sees 6 of them come out of hiding\": This phrasing is slightly ambiguous. If he is already watching 11, they are already out of hiding. However, in word problems of this type, \"watching 11 tadpoles\" usually establishes the total population.\n- If the 6 coming out of hiding are *additional* to the 11, the total would be 17. But the problem says \"6 of **them**\" (referring to the 11).\n- If 6 of the 11 come out of hiding, it implies they were already part of the 11. But if he is \"watching\" them, they are visible.\n\nLet's look at the most logical mathematical interpretation for this level of word problem:\n1. **Start:** 11 tadpoles are in the pond.\n2. **Event 1:** 6 tadpoles come out of hiding. (This usually implies they were not part of the \"visible\" count, but the problem says \"6 of them\", implying they are part of the 11). If he is watching 11, and 6 of them come out of hiding, the number of visible tadpoles doesn't change unless the 11 were the *total* and some were hidden.\n3. **Let's try the \"Visible\" approach:**\n - Total tadpoles = 11.\n - Initially, how many are visible? The problem says he \"watches 11 tadpoles swimming\". This implies 11 are visible.\n - If 6 come out of hiding, they were already part of the 11? This is a paradox.\n - Let's assume the 11 are the *total* in the pond.\n - If he sees 6 come out of hiding, it means 6 more become visible. But he was already watching 11.\n - Let's assume the 11 are the *total* and the \"watching\" refers to the total population.\n - If 6 come out of hiding, they are now visible.\n - If 2 hide, they are no longer visible.\n\nLet's look at the wording again: \"Finn watches 11 tadpoles... he sees 6 of them come out of hiding... then he sees 2 of them hide\".\nIf we assume the 11 are the total:\n- If he is watching 11, they are all visible.\n- If 6 come out of hiding, they were already visible? No, that doesn't make sense.\n- Let's assume the 11 are the *total* and the \"watching\" refers to the total.\n- If 6 come out of hiding, they are now visible.\n- If 2 hide, they are no longer visible.\n\nLet's try a different logic:\n- He is watching 11.\n- 6 come out of hiding (they are now visible).\n- 2 hide (they are no longer visible).\nIf the 11 were the total, and he was watching them, and then 6 *more* came out of hiding, the total would be 17. But it says \"6 of them\".\nIf the 11 were the total, and he was watching them, and 6 of them *were* hiding, then he was only watching 5.\n- Visible =", "usage": {"prompt_tokens": 84, "completion_tokens": 1024, "total_tokens": 1108}, "error": null, "prior_errors": 0, "t0": 1793304694.742, "t1": 1793305143.88, "s": 449.14} +{"seq": 146, "idx": 186, "ok": true, "gold": "5", "reply": "To find the number of rats in each cage, we can set up an equation based on the total amount of straw distributed.\n\n1. **Identify the components of the total straw distributed:**\n * **Rats:** There are 3 cages of rats. Let $x$ be the number of rats in each cage. Each rat gets 6 pieces of straw.\n Total straw for rats = $3 \\times x \\times 6 = 18x$.\n * **Hamsters:** There are 10 cages of hamsters. Each cage has one hamster (since they are \"kept alone\"). Each hamster gets 5 pieces of straw.\n Total straw for hamsters = $10 \\times 1 \\times 5 = 50$.\n * **Rabbits:** A pen of rabbits is given 20 pieces of straw.\n Total straw for rabbits = $20$.\n\n2. **Set up the equation:**\n The total amount of straw distributed is 160 pieces.\n $18x + 50 + 20 = 160$\n\n3. **Solve for $x$:**\n $18x + 70 = 160$\n Subtract 70 from both sides:\n $18x = 160 - 70$\n $18x = 90$\n Divide by 18:\n $x = \\frac{90}{18}$\n $x = 5$\n\n4. **Verify the result:**\n * Rats: 3 cages $\\times$ 5 rats/cage $\\times$ 6 straws/rat = 90 straws.\n * Hamsters: 10 cages $\\times$ 1 hamster/cage $\\times$ 5 straws/hamster = 50 straws.\n * Rabbits: 20 straws.\n * Total: $90 + 50 + 20 = 160$.\n\nThe number of rats in each cage is 5.\n\nAnswer: 5", "usage": {"prompt_tokens": 143, "completion_tokens": 464, "total_tokens": 607}, "error": null, "prior_errors": 0, "t0": 1793304951.806, "t1": 1793305144.657, "s": 192.85} +{"seq": 147, "idx": 198, "ok": true, "gold": "320", "reply": "To find the total number of Pokemon cards Elaine has now, we need to calculate the number of cards she collected in each month and add them to her initial amount.\n\n1. **Initial amount:**\n Elaine starts with 20 cards.\n Initial = 20\n\n2. **First month collection:**\n She collected three times her initial number.\n First month = $3 \\times 20 = 60$\n\n3. **Second month collection:**\n She collected 20 fewer cards than she collected in the first month.\n Second month = $60 - 20 = 40$\n\n4. **Third month collection:**\n She collected twice the combined number of cards from the first and second months.\n Combined (1st and 2nd) = $60 + 40 = 100$\n Third month = $2 \\times 100 = 200$\n\n5. **Total number of cards:**\n To find the total, we add the initial amount and the collections from all three months:\n Total = Initial + First month + Second month + Third month\n Total = $20 + 60 + 40 + 200$\n Total = $320$\n\nAnswer: 320", "usage": {"prompt_tokens": 105, "completion_tokens": 290, "total_tokens": 395}, "error": null, "prior_errors": 0, "t0": 1793305053.331, "t1": 1793305153.988, "s": 100.66} +{"seq": 148, "idx": 187, "ok": false, "gold": "106", "reply": "To find the total amount Mandy should pay Benedict after 3 months, we need to calculate the interest accumulated over that period. \n\nIn financial problems involving monthly interest, unless \"simple interest\" is specified, it is standard to assume **compound interest** (where interest is calculated on the new balance each month).\n\n**Step 1: Calculate the balance after Month 1**\n* Principal: $100\n* Interest for Month 1: $100 \\times 0.02 = $2\n* Balance after Month 1: $100 + $2 = $102\n\n**Step 2: Calculate the balance after Month 2**\n* New Principal: $102\n* Interest for Month 2: $102 \\times 0.02 = $2.04\n* Balance after Month 2: $102 + $2.04 = $104.04\n\n**Step 3: Calculate the balance after Month 3**\n* New Principal: $104.04\n* Interest for Month 3: $104.04 \\times 0.02 = $2.0808\n* Balance after Month 3: $104.04 + $2.0808 = $106.1208\n\n**Alternative Method (Compound Interest Formula):**\n$A = P(1 + r)^n$\n$A = 100(1 + 0.02)^3$\n$A = 100(1.02)^3$\n$A = 100(1.061208)$\n$A = 106.1208$\n\nRounding to the nearest cent (standard for currency): $106.12.\n\n*(Note: If simple interest were intended: $100 + (100 \\times 0.02 \\times 3) = 100 + 6 = 106$. However, monthly interest on debt is typically compounded.)*\n\nFollowing the standard mathematical approach for interest accumulation:\n$106.1208$\n\nAnswer: 106.12", "usage": {"prompt_tokens": 68, "completion_tokens": 495, "total_tokens": 563}, "error": null, "prior_errors": 0, "t0": 1793304968.309, "t1": 1793305156.771, "s": 188.46} +{"seq": 149, "idx": 199, "ok": true, "gold": "7500", "reply": "To find out how much Mark makes in a week, we can follow these steps:\n\n1. **Identify the number of sentences edited for each publisher:**\n Mark edits a total of 1000 sentences each week. He edits an equal number of sentences for each of the two publishers.\n $\\text{Sentences per publisher} = \\frac{1000}{2} = 500 \\text{ sentences}$.\n\n2. **Determine the pay rate for Publisher A:**\n The problem states that Publisher A pays Mark 5 cents per sentence.\n $\\text{Rate A} = 5 \\text{ cents/sentence}$.\n\n3. **Determine the pay rate for Publisher B:**\n The problem states that Publisher B pays Mark twice what Publisher A pays.\n $\\text{Rate B} = 2 \\times 5 \\text{ cents} = 10 \\text{ cents/sentence}$.\n\n4. **Calculate the total earnings from Publisher A:**\n $\\text{Earnings A} = 500 \\text{ sentences} \\times 5 \\text{ cents/sentence} = 2500 \\text{ cents}$.\n\n5. **Calculate the total earnings from Publisher B:**\n $\\text{Earnings B} = 500 \\text{ sentences} \\times 10 \\text{ cents/sentence} = 5000 \\text{ cents}$.\n\n6. **Calculate the total weekly earnings:**\n $\\text{Total Earnings} = \\text{Earnings A} + \\text{Earnings B}$\n $\\text{Total Earnings} = 2500 \\text{ cents} + 5000 \\text{ cents} = 7500 \\text{ cents}$.\n\nAnswer: 7500", "usage": {"prompt_tokens": 108, "completion_tokens": 390, "total_tokens": 498}, "error": null, "prior_errors": 0, "t0": 1793305059.333, "t1": 1793305168.762, "s": 109.43} +{"seq": 150, "idx": 182, "ok": false, "gold": "23", "reply": "To solve the problem, let's define the variables for the ages of Jean and Mark.\n\nLet $J$ be Jean's current age.\nLet $M$ be Mark's current age.\n\nFrom the problem, we are given the following information:\n1. Jean is two years older than Mark:\n $J = M + 2$\n2. Two years ago, Mark was 5 years older than half Jan's age:\n $(M - 2) = \\frac{1}{2}J + 5$\n3. We are given that Jan is 30:\n $J = 30$\n\nWait, let's re-read the problem carefully. The problem states \"If Jan is 30 how old is Jean?\". However, the first sentence says \"Jean is two years older than Mark\" and the second sentence uses \"Jan's age\". It is highly likely that \"Jan\" and \"Jean\" refer to the same person.\n\nLet's check the consistency of the information provided:\nIf $J = 30$:\nFrom equation (1): $30 = M + 2 \\implies M = 28$.\nFrom equation (2): $(M - 2) = \\frac{1}{2}J + 5$\nSubstitute $M = 28$ and $J = 30$:\n$28 - 2 = \\frac{1}{2}(30) + 5$\n$26 = 15 + 5$\n$26 = 20$\n\nThis is a contradiction. Let's re-read the problem again.\n\"Jean is two years older than Mark. Two years ago Mark was 5 years older than half Jan's age. If Jan is 30 how old is Jean?\"\n\nIt is possible that \"Jan\" and \"Jean\" are two different people.\nLet $J_e$ be Jean's age and $M$ be Mark's age.\nLet $J_a$ be Jan's age.\n1. $J_e = M + 2$\n2. $M - 2 = \\frac{1}{2}J_a + 5$\n3. $J_a = 30$\n\nIf $J_a = 30$, we can solve for $M$ using equation (2):\n$M - 2 = \\frac{1}{2}(30) + 5$\n$M - 2 = 15 + 5$\n$M - 2 = 20$\n$M = 22$\n\nNow, use equation (1) to find Jean's age ($J_e$):\n$J_e = M + 2$\n$J_e = 22 + 2$\n$J_e = 24$\n\nThe question asks \"how old is Jean?\". Based on the calculation where Jan and Jean are distinct, Jean is 24.\n\nIf we assume \"Jan\" and \"Jean\" are the same person, the problem is mathematically inconsistent as shown above ($26 \\neq 20$). In word problems of this type, if a name is spelled differently (Jan vs Jean), they are often intended to be different entities to make the math work.\n\nLet's double check:\nIf Jan is 30, half Jan's age is 15.\n5 years older than half Jan's age is $15 + 5 = 20$.\nTwo years ago, Mark was 20, so Mark is 22 now.\nJean is 2 years older than Mark, so Jean is 24.\n\nAnswer: 24", "usage": {"prompt_tokens": 66, "completion_tokens": 805, "total_tokens": 871}, "error": null, "prior_errors": 0, "t0": 1793304918.297, "t1": 1793305174.029, "s": 255.73} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/models.json b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/models.json new file mode 100644 index 00000000..a4d17dc2 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/models.json @@ -0,0 +1 @@ +{"data":[{"id":"gemma","object":"model","created":1793303919,"owned_by":"OVMS"}],"object":"list"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/pf.log 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"pod-template-hash": "5756fcf584" + }, + "name": "ovms-5756fcf584-2m9b4", + "namespace": "k3d-gpu-agent", + "ownerReferences": [ + { + "apiVersion": "apps/v1", + "blockOwnerDeletion": true, + "controller": true, + "kind": "ReplicaSet", + "name": "ovms-5756fcf584", + "uid": "c300de8a-74a7-409f-9925-e4ac5f360d19" + } + ], + "resourceVersion": "1160", + "uid": "bceaf704-84a3-41a6-ab95-bd0ed610f818" + }, + "spec": { + "containers": [ + { + "args": [ + "--rest_port=8000", + "--model_path=/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov", + "--model_name=gemma", + "--cache_dir=/models/.ov_cache", + "--log_level=INFO" + ], + "image": "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "imagePullPolicy": "IfNotPresent", + "name": "ovms", + "ports": [ + { + "containerPort": 8000, + "name": "http", + "protocol": "TCP" + } + ], + "readinessProbe": { + "failureThreshold": 3, + "httpGet": { + "path": "/v2/health/ready", + "port": "http", + "scheme": "HTTP" + }, + "periodSeconds": 5, + "successThreshold": 1, + "timeoutSeconds": 1 + }, + "resources": { + "requests": { + "cpu": "1", + "memory": "6Gi" + } + }, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-xrt2k", + "readOnly": true + } + ] + } + ], + "dnsPolicy": "ClusterFirst", + "enableServiceLinks": true, + "initContainers": [ + { + "args": [ + "--pull", + "--source_model=k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov", + "--model_repository_path=/models", + "--model_name=gemma", + "--task=text_generation", + "--target_device=CPU" + ], + "image": "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "imagePullPolicy": "IfNotPresent", + "name": "pull", + "resources": {}, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-xrt2k", + "readOnly": true + } + ] + } + ], + "nodeName": "k3d-k3dgpu-g-h54q-1-server-0", + "preemptionPolicy": "PreemptLowerPriority", + "priority": 0, + "restartPolicy": "Always", + "schedulerName": "default-scheduler", + "securityContext": { + "fsGroup": 5000, + "runAsGroup": 5000, + "runAsUser": 5000 + }, + "serviceAccount": "default", + "serviceAccountName": "default", + "terminationGracePeriodSeconds": 30, + "tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "name": "kube-api-access-xrt2k", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "allocatedResources": { + "cpu": "1", + "memory": "6Gi" + }, + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:58:06Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:58:19Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:58:35Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:58:35Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:58:06Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "allocatedResources": { + "cpu": "1", + "memory": "6Gi" + }, + "containerID": "containerd://6707001b9d44e836a1c9afe425fc45154fa88bc9271932831973389647f1ed70", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "ovms", + "ready": true, + "resources": { + "requests": { + "cpu": "1", + "memory": "6Gi" + } + }, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:58:19Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-xrt2k", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.19.0.2", + "hostIPs": [ + { + "ip": "172.19.0.2" + } + ], + "initContainerStatuses": [ + { + "containerID": "containerd://e947dd79bbf563647da68e1f4cd9f06d65cb9d6cf2cd91e9039cb106e4a2fe55", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "pull", + "ready": true, + "resources": {}, + "restartCount": 0, + "started": false, + "state": { + "terminated": { + "containerID": "containerd://e947dd79bbf563647da68e1f4cd9f06d65cb9d6cf2cd91e9039cb106e4a2fe55", + "exitCode": 0, + "finishedAt": "2026-10-29T19:58:18Z", + "reason": "Completed", + "startedAt": "2026-10-29T19:58:18Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-xrt2k", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.10", + "podIPs": [ + { + "ip": "10.42.0.10" + } + ], + "qosClass": "Burstable", + "resources": { + "requests": { + "cpu": "975m", + "memory": "6Gi" + } + }, + "startTime": "2026-10-29T19:58:06Z" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/pods.txt b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/pods.txt new file mode 100644 index 00000000..924559ce --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +k3d-gpu-agent ovms-5756fcf584-2m9b4 1/1 Running 0 34s 10.42.0.10 k3d-k3dgpu-g-h54q-1-server-0 +kube-system coredns-577d995dff-lf2zc 1/1 Running 0 12m 10.42.0.7 k3d-k3dgpu-g-h54q-1-server-0 +kube-system helm-install-gateway-api-crd-s6vvf 0/1 Completed 0 12m 10.42.0.3 k3d-k3dgpu-g-h54q-1-server-0 +kube-system local-path-provisioner-6858d854cf-xfk67 1/1 Running 0 12m 10.42.0.5 k3d-k3dgpu-g-h54q-1-server-0 +kube-system metrics-server-778c4649b4-f4fkl 1/1 Running 0 12m 10.42.0.8 k3d-k3dgpu-g-h54q-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-7vxlc 1/1 Running 0 12m 10.42.0.4 k3d-k3dgpu-g-h54q-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-rqwgf 1/1 Running 0 12m 10.42.0.6 k3d-k3dgpu-g-h54q-1-server-0 +node-feature-discovery nfd-worker-md6x4 1/1 Running 0 12m 10.42.0.2 k3d-k3dgpu-g-h54q-1-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/q.json b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/q.json new file mode 100644 index 00000000..ffceee8f --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/q.json @@ -0,0 +1,36 @@ +{ + "todo": 150, + "answered": 150, + "errors": 0, + "discarded": 0, + "cut": 0, + "not_asked": 0, + "stopped": null, + "end": "queue empty", + "t0": 1793303921.037, + "t1": 1793305174.354, + "first_items": [ + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69 + ], + "status": "measured", + "reason": "150 answered, 0 errored, 0 cut, 0 not asked (queue empty)" +} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/server.log.gz b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/server.log.gz new file mode 100644 index 00000000..ef31f6c7 Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/server.log.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold1/OVQ/status.json b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/status.json new file mode 100644 index 00000000..0d8d08a0 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/OVQ/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "150 answered, 0 errored, 0 cut, 0 not asked (queue empty)", "at": "2026-10-29T20:19:34Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/apply.log b/bench/h54/results/2026-10-29/H54q/hold1/R/apply.log new file mode 100644 index 00000000..fb81c121 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/apply.log @@ -0,0 +1,5 @@ +namespace/h54 created +configmap/vq-chat-templates created +configmap/vq-config created +service/vq created +deployment.apps/vq created diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/arm.log b/bench/h54/results/2026-10-29/H54q/hold1/R/arm.log new file mode 100644 index 00000000..afc1b939 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/arm.log @@ -0,0 +1,5 @@ +2026-10-29T19:46:41Z R start (2249 s before the item stop) +2026-10-29T19:48:46Z R ready after 125 s +2026-10-29T19:48:46Z R items: 200 to ask +q-items R: 200 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T19:57:48Z R status measured: 200 answered, 0 errored, 0 cut, 0 not asked (queue empty) diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/boot.json b/bench/h54/results/2026-10-29/H54q/hold1/R/boot.json new file mode 100644 index 00000000..920375fc --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/boot.json @@ -0,0 +1 @@ +{"apply": 1793303201, "ready": 1793303326, "boot_s": 125, "limit_s": 1500} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/delete.log b/bench/h54/results/2026-10-29/H54q/hold1/R/delete.log new file mode 100644 index 00000000..baeab24f --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/delete.log @@ -0,0 +1,9 @@ +namespace "h54" deleted +configmap "vq-chat-templates" deleted from h54 namespace +configmap "vq-config" deleted from h54 namespace +service "vq" deleted from h54 namespace +deployment.apps "vq" deleted from h54 namespace +No resources found +time="2026-10-29T19:57:54Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T19:57:54Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/deploy.yaml b/bench/h54/results/2026-10-29/H54q/hold1/R/deploy.yaml new file mode 100644 index 00000000..7a8045bd --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/deploy.yaml @@ -0,0 +1,561 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h54 +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vq-chat-templates + namespace: h54 + labels: + app: vq +data: + tool_chat_template_qwen3coder.jinja: "{% macro render_extra_keys(json_dict, handled_keys)\ + \ %}\n {%- if json_dict is mapping %}\n {%- for json_key in json_dict\ + \ if json_key not in handled_keys %}\n {%- if json_dict[json_key] is\ + \ mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string)\ + \ %}\n {{- '\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson\ + \ | safe) ~ '' }}\n {%- else %}\n \ + \ {{-'\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '' }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n\ + {% endmacro %}\n\n{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message\ + \ = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n\ + {%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{%- if not\ + \ tools is defined %}\n {%- set tools = [] %}\n{%- endif %}\n\n{%- if system_message\ + \ is defined %}\n {{- \"<|im_start|>system\\n\" + system_message }}\n{%- else\ + \ %}\n {%- if tools is iterable and tools | length > 0 %}\n {{- \"<|im_start|>system\\\ + nYou are Qwen, a helpful AI assistant that can interact with a computer to solve\ + \ tasks.\" }}\n {%- endif %}\n{%- endif %}\n{%- if tools is iterable and tools\ + \ | length > 0 %}\n {{- \"\\n\\n# Tools\\n\\nYou have access to the following\ + \ functions:\\n\\n\" }}\n {{- \"\" }}\n {%- for tool in tools %}\n\ + \ {%- if tool.function is defined %}\n {%- set tool = tool.function\ + \ %}\n {%- endif %}\n {{- \"\\n\\n\" ~ tool.name\ + \ ~ \"\" }}\n {%- if tool.description is defined %}\n \ + \ {{- '\\n' ~ (tool.description | trim) ~ '' }}\n\ + \ {%- endif %}\n {{- '\\n' }}\n {%- if tool.parameters\ + \ is defined and tool.parameters is mapping and tool.parameters.properties is\ + \ defined and tool.parameters.properties is mapping %}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- '\\\ + n' }}\n {{- '\\n' ~ param_name ~ '' }}\n\ + \ {%- if param_fields.type is defined %}\n {{-\ + \ '\\n' ~ (param_fields.type | string) ~ '' }}\n {%-\ + \ endif %}\n {%- if param_fields.description is defined %}\n \ + \ {{- '\\n' ~ (param_fields.description | trim)\ + \ ~ '' }}\n {%- endif %}\n {%- set\ + \ handled_keys = ['name', 'type', 'description'] %}\n {{- render_extra_keys(param_fields,\ + \ handled_keys) }}\n {{- '\\n' }}\n {%-\ + \ endfor %}\n {%- endif %}\n {% set handled_keys = ['type', 'properties']\ + \ %}\n {{- render_extra_keys(tool.parameters, handled_keys) }}\n \ + \ {{- '\\n' }}\n {%- set handled_keys = ['type', 'name',\ + \ 'description', 'parameters'] %}\n {{- render_extra_keys(tool, handled_keys)\ + \ }}\n {{- '\\n' }}\n {%- endfor %}\n {{- \"\\n\"\ + \ }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following\ + \ format with NO suffix:\\n\\n\\n\\\ + n\\nvalue_1\\n\\n\\\ + nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\\ + n\\n\\n\\n\\n\\nReminder:\\n- Function\ + \ calls MUST follow the specified format: an inner block\ + \ must be nested within XML tags\\n- Required parameters\ + \ MUST be specified\\n- You may provide optional reasoning for your function call\ + \ in natural language BEFORE the function call, but NOT after\\n- If there is\ + \ no function call available, answer the question like normal with your current\ + \ knowledge and do not tell the user about function calls\\n' }}\n\ + {%- endif %}\n{%- if system_message is defined %}\n {{- '<|im_end|>\\n' }}\n\ + {%- else %}\n {%- if tools is iterable and tools | length > 0 %}\n {{-\ + \ '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in loop_messages\ + \ %}\n {%- if message.role == \"assistant\" and message.tool_calls is defined\ + \ and message.tool_calls is iterable and message.tool_calls | length > 0 %}\n\ + \ {{- '<|im_start|>' + message.role }}\n {%- if message.content\ + \ is defined and message.content is string and message.content | trim | length\ + \ > 0 %}\n {{- '\\n' + message.content | trim + '\\n' }}\n {%-\ + \ endif %}\n {%- for tool_call in message.tool_calls %}\n {%-\ + \ if tool_call.function is defined %}\n {%- set tool_call = tool_call.function\ + \ %}\n {%- endif %}\n {{- '\\n\\n\\n' }}\n {%- if tool_call.arguments is defined\ + \ %}\n {%- for args_name, args_value in tool_call.arguments|items\ + \ %}\n {{- '\\n' }}\n \ + \ {%- set args_value = args_value | tojson | safe if args_value is\ + \ mapping or (args_value is sequence and args_value is not string) else args_value\ + \ | string %}\n {{- args_value }}\n {{-\ + \ '\\n\\n' }}\n {%- endfor %}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {%- endfor %}\n\ + \ {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"user\" or message.role\ + \ == \"system\" or message.role == \"assistant\" %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role\ + \ != \"tool\" %}\n {{- '<|im_start|>user\\n' }}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {{- message.content }}\n \ + \ {{- '\\n\\n' }}\n {%- if not loop.last and loop.nextitem.role\ + \ != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last\ + \ %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n\ + \ {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>\\\ + n' }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{-\ + \ '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_hermes.jinja: "{%- macro json_to_python_type(json_spec) %}\n\ + \ {%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"\ + float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n {%-\ + \ if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type]\ + \ }}\n {%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items)\ + \ + \"]\" }}\n {%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties\ + \ is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties)\ + \ + ']' }}\n {%- else %}\n {{- \"dict\" }}\n {%- endif\ + \ %}\n {%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n\ + \ {%- for t in json_spec.type %}\n {{- json_to_python_type({\"\ + type\": t}) }}\n {%- if not loop.last %}\n {{- \",\"\ + \ }}\n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n\ + \ {%- else %}\n {{- \"Any\" }}\n {%- endif %}\n{%- endmacro %}\n\n\ + \n{{- bos_token }}\n{{- \"<|im_start|>system\\nYou are a function calling AI model.\ + \ You are provided with function signatures within XML tags. You\ + \ may call one or more functions to assist with the user query. Don't make assumptions\ + \ about what values to plug into functions. Here are the available tools: \ + \ \" }}\n{%- if tools is iterable and tools | length > 0 %}\n {%- for tool\ + \ in tools %}\n {%- if tool.function is defined %}\n {%- set\ + \ tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\"\ + , \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n \ + \ {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- param_name\ + \ + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last\ + \ %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor\ + \ %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n \ + \ {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n\ + \ {{- \" - \" + tool.description + \"\\n\\n\" }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {%- if loop.first\ + \ %}\n {{- \" Args:\\n\" }}\n {%- endif %}\n \ + \ {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields)\ + \ + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n \ + \ {%- if tool.return is defined and tool.return.description is defined %}\n \ + \ {{- \"\\n Returns:\\n \" + tool.return.description }}\n\ + \ {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n\ + \ {%- if tool.parameters.properties | length == 0 %}\n {{- \"\ + {}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n \ + \ {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n \ + \ {{- \"\\n\" }}\n {%- endif %}\n {%- endfor %}\n{%- endif %}\n\ + {{- \" \" }}\n{{- 'Use the following pydantic model json schema for each\ + \ tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"\ + type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"\ + }}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\"\ + : \"object\"}}\n' }}\n{{- \"For each function call return a json object with function\ + \ name and arguments within XML tags as follows:\n\" }}\n\ + {{- \"\n\" }}\n{{- '{\"name\": , \"arguments\": }\n\ + ' }}\n{{- '<|im_end|>' }}\n{%- for message in messages %}\n {%-\ + \ if message.role == \"user\" or message.role == \"system\" or (message.role ==\ + \ \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"assistant\" and message.tool_calls is defined %}\n \ + \ {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls\ + \ %}\n {{- '\\n\\n' }}\n {%- if tool_call.function\ + \ is defined %}\n {%- set tool_call = tool_call.function %}\n \ + \ {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"\ + ' }}\n {{- tool_call.name }}\n {{- '\"' }}\n \ + \ {%- if tool_call.arguments is defined %}\n {{- ', ' }}\n \ + \ {{- '\"arguments\": ' }}\n {{- tool_call.arguments|tojson\ + \ }}\n {%- endif %}\n {{- '}' }}\n {{- '\\n'\ + \ }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role\ + \ == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\"\ + \ %}\n {{- '<|im_start|>tool\\n' }}\n {%- endif %}\n \ + \ {{- '\\n' }}\n {{- message.content }}\n {%- if\ + \ not loop.last %}\n {{- '\\n\\n' }}\n {%- else\ + \ %}\n {{- '\\n' }}\n {%- endif %}\n \ + \ {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{-\ + \ '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>'\ + \ }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt\ + \ %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_gemma4.jinja: "{%- macro format_parameters(properties, required,\ + \ filter_keys=false) -%}\n {%- set standard_keys = ['description', 'type',\ + \ 'properties', 'required', 'nullable'] -%}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in properties | dictsort -%}\n {%- set add_comma\ + \ = false -%}\n {%- if not filter_keys or key not in standard_keys -%}\n\ + \ {%- if ns.found_first %},{% endif -%}\n {%- set ns.found_first\ + \ = true -%}\n {{ key }}:{\n {%- if value['description']\ + \ -%}\n description:<|\"|>{{ value['description'] }}<|\"|>\n \ + \ {%- set add_comma = true -%}\n {%- endif -%}\n \ + \ {%- if value['type'] | upper == 'STRING' -%}\n {%- if value['enum']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n enum:{{ format_argument(value['enum'])\ + \ }}\n {%- endif -%}\n {%- elif value['type'] | upper\ + \ == 'ARRAY' -%}\n {%- if value['items'] is mapping and value['items']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n items:{\n {%-\ + \ set ns_items = namespace(found_first=false) -%}\n {%- for\ + \ item_key, item_value in value['items'] | dictsort -%}\n \ + \ {%- if item_value is not none -%}\n {%- if ns_items.found_first\ + \ %},{% endif -%}\n {%- set ns_items.found_first =\ + \ true -%}\n {%- if item_key == 'properties' -%}\n\ + \ properties:{\n \ + \ {%- if item_value is mapping -%}\n {{- format_parameters(item_value,\ + \ value['items']['required'] | default([])) -}}\n \ + \ {%- endif -%}\n }\n \ + \ {%- elif item_key == 'required' -%}\n required:[\n\ + \ {%- for req_item in item_value -%}\n \ + \ <|\"|>{{- req_item -}}<|\"|>\n \ + \ {%- if not loop.last %},{% endif -%}\n \ + \ {%- endfor -%}\n ]\n \ + \ {%- elif item_key == 'type' -%}\n \ + \ {%- if item_value is string -%}\n type:{{\ + \ format_argument(item_value | upper) }}\n {%-\ + \ else -%}\n type:{{ format_argument(item_value\ + \ | map('upper') | list) }}\n {%- endif -%}\n \ + \ {%- else -%}\n {{ item_key\ + \ }}:{{ format_argument(item_value) }}\n {%- endif\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n\ + \ }\n {%- endif -%}\n {%- endif -%}\n\ + \ {%- if value['nullable'] %}\n {%- if add_comma %},{%-\ + \ else -%} {%- set add_comma = true -%} {% endif -%}\n nullable:true\n\ + \ {%- endif -%}\n {%- if value['type'] | upper == 'OBJECT'\ + \ -%}\n {%- if value['properties'] is defined and value['properties']\ + \ is mapping -%}\n {%- if add_comma %},{%- else -%} {%- set\ + \ add_comma = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value['properties'], value['required'] |\ + \ default([])) -}}\n }\n {%- elif value is mapping\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value, value['required'] | default([]), filter_keys=true)\ + \ -}}\n }\n {%- endif -%}\n {%-\ + \ if value['required'] -%}\n {%- if add_comma %},{%- else -%}\ + \ {%- set add_comma = true -%} {% endif -%}\n required:[\n\ + \ {%- for item in value['required'] | default([]) -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {%- if\ + \ not loop.last %},{% endif -%}\n {%- endfor -%}\n \ + \ ]\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif\ + \ -%}\n type:<|\"|>{{ value['type'] | upper }}<|\"|>}\n {%-\ + \ endif -%}\n {%- endfor -%}\n{%- endmacro -%}\n{%- macro format_function_declaration(tool_data)\ + \ -%}\n declaration:{{- tool_data['function']['name'] -}}{description:<|\"\ + |>{{- tool_data['function']['description'] -}}<|\"|>\n {%- set params = tool_data['function']['parameters']\ + \ -%}\n {%- if params -%}\n ,parameters:{\n {%- if params['properties']\ + \ -%}\n properties:{ {{- format_parameters(params['properties'], params['required'])\ + \ -}} },\n {%- endif -%}\n {%- if params['required'] -%}\n \ + \ required:[\n {%- for item in params['required'] -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {{- ',' if not loop.last\ + \ -}}\n {%- endfor -%}\n ],\n {%- endif -%}\n \ + \ {%- if params['type'] -%}\n type:<|\"|>{{- params['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n {%- if 'response'\ + \ in tool_data['function'] -%}\n {%- set response_declaration = tool_data['function']['response']\ + \ -%}\n ,response:{\n {%- if response_declaration['description']\ + \ -%}\n description:<|\"|>{{- response_declaration['description'] -}}<|\"\ + |>,\n {%- endif -%}\n {%- if response_declaration['type'] | upper\ + \ == 'OBJECT' -%}\n type:<|\"|>{{- response_declaration['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n }\n{%- endmacro -%}\n\ + {%- macro format_argument(argument, escape_keys=True) -%}\n {%- if argument\ + \ is none -%}\n {{- 'null' -}}\n {%- elif argument is string -%}\n \ + \ {{- '<|\"|>' + argument + '<|\"|>' -}}\n {%- elif argument is boolean\ + \ -%}\n {{- 'true' if argument else 'false' -}}\n {%- elif argument\ + \ is mapping -%}\n {{- '{' -}}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in argument | dictsort -%}\n {%-\ + \ if ns.found_first %},{% endif -%}\n {%- set ns.found_first = true\ + \ -%}\n {%- if escape_keys -%}\n {{- '<|\"|>' + key\ + \ + '<|\"|>' -}}\n {%- else -%}\n {{- key -}}\n \ + \ {%- endif -%}\n :{{- format_argument(value, escape_keys=escape_keys)\ + \ -}}\n {%- endfor -%}\n {{- '}' -}}\n {%- elif argument is sequence\ + \ -%}\n {{- '[' -}}\n {%- for item in argument -%}\n \ + \ {{- format_argument(item, escape_keys=escape_keys) -}}\n {%- if not\ + \ loop.last %},{% endif -%}\n {%- endfor -%}\n {{- ']' -}}\n \ + \ {%- else -%}\n {{- argument -}}\n {%- endif -%}\n{%- endmacro -%}\n\ + {%- macro strip_thinking(text) -%}\n {%- set ns = namespace(result='') -%}\n\ + \ {%- for part in text.split('') -%}\n {%- if '<|channel>'\ + \ in part -%}\n {%- set ns.result = ns.result + part.split('<|channel>')[0]\ + \ -%}\n {%- else -%}\n {%- set ns.result = ns.result + part\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n {{- ns.result | trim -}}\n\ + {%- endmacro -%}\n\n{%- macro format_tool_response_block(tool_name, response)\ + \ -%}\n {{- '<|tool_response>' -}}\n {%- if response is mapping -%}\n \ + \ {{- 'response:' + tool_name + '{' -}}\n {%- for key, value in response\ + \ | dictsort -%}\n {{- key -}}:{{- format_argument(value, escape_keys=False)\ + \ -}}\n {%- if not loop.last %},{% endif -%}\n {%- endfor -%}\n\ + \ {{- '}' -}}\n {%- else -%}\n {{- 'response:' + tool_name +\ + \ '{value:' + format_argument(response, escape_keys=False) + '}' -}}\n {%-\ + \ endif -%}\n {{- '' -}}\n{%- endmacro -%}\n\n{#- ===== SETUP\ + \ ===== -#}\n{%- set ns = namespace(prev_message_type=None, prev_non_tool_role=None)\ + \ -%}\n{%- set loop_messages = messages -%}\n{%- set enable_thinking = enable_thinking\ + \ | default(false) -%}\n{%- set preserve_thinking = preserve_thinking | default(false)\ + \ -%}\n{{- bos_token -}}\n{#- Handle System/Tool Definitions Block -#}\n{%- if\ + \ enable_thinking or tools or (messages and messages[0]['role'] in ['system',\ + \ 'developer']) -%}\n {{- '<|turn>system\\n' -}}\n {#- Inject Thinking token\ + \ at the very top of the FIRST system turn -#}\n {%- if enable_thinking -%}\n\ + \ {{- '<|think|>\\n' -}}\n {%- set ns.prev_message_type = 'think'\ + \ -%}\n {%- endif -%}\n {%- if messages and messages[0]['role'] in ['system',\ + \ 'developer'] -%}\n {%- if messages[0]['content'] is string -%}\n \ + \ {{- messages[0]['content'] | trim -}}\n {%- elif messages[0]['content']\ + \ is sequence -%}\n {%- for item in messages[0]['content'] -%}\n \ + \ {{- item['text'] | trim + ' '-}}\n {%- endfor -%}\n\ + \ {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n \ + \ {%- endif -%}\n {%- if tools -%}\n {%- for tool in tools %}\n \ + \ {{- '<|tool>' -}}\n {{- format_function_declaration(tool)\ + \ | trim -}}\n {{- '' -}}\n {%- endfor %}\n {%-\ + \ set ns.prev_message_type = 'tool' -%}\n {%- endif -%}\n {{- '\\\ + n' -}}\n{%- endif %}\n\n{#- Pre-scan: find last user message index for reasoning\ + \ guard -#}\n{%- set ns_turn = namespace(last_user_idx=-1) -%}\n{%- for i in range(loop_messages\ + \ | length) -%}\n {%- if loop_messages[i]['role'] == 'user' -%}\n {%-\ + \ set ns_turn.last_user_idx = i -%}\n {%- endif -%}\n{%- endfor -%}\n\n{#-\ + \ Loop through messages -#}\n{%- for message in loop_messages -%}\n {%- if\ + \ message['role'] != 'tool' -%}\n {%- set ns.prev_message_type = None -%}\n\ + \ {%- set role = 'model' if message['role'] == 'assistant' else message['role']\ + \ -%}\n {#- Detect continuation using tracked state \u2014 O(1) instead of\ + \ O(n) backward scan -#}\n {%- set continue_same_model_turn = (role == 'model'\ + \ and ns.prev_non_tool_role == 'assistant') -%}\n {%- if not continue_same_model_turn\ + \ -%}\n {{- '<|turn>' + role + '\\n' }}\n {%- if role == 'model'\ + \ and not enable_thinking and not (message.get('reasoning') or message.get('reasoning_content'))\ + \ -%}\n {{- '<|channel>thought\\n' -}}\n {%- endif\ + \ -%}\n {%- endif -%}\n\n {#- Render reasoning/reasoning_content as thinking\ + \ channel -#}\n {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content')\ + \ -%}\n {%- set thinking_gate = (loop.index0 > ns_turn.last_user_idx) or preserve_thinking\ + \ -%}\n {%- if thinking_text and thinking_gate -%}\n {{- '<|channel>thought\\\ + n' + thinking_text + '\\n' -}}\n {%- endif -%}\n\n {%-\ + \ if message.get('tool_calls') -%}\n {%- for tool_call in message.get('tool_calls')\ + \ -%}\n {%- set function = tool_call['function'] -%}\n \ + \ {{- '<|tool_call>call:' + function['name'] + '{' -}}\n \ + \ {%- if function['arguments'] is mapping -%}\n \ + \ {%- set ns_args = namespace(found_first=false) -%}\n \ + \ {%- for key, value in function['arguments'] | dictsort -%}\n \ + \ {%- if ns_args.found_first %},{% endif -%}\n \ + \ {%- set ns_args.found_first = true -%}\n \ + \ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}\n \ + \ {%- endfor -%}\n {%- elif function['arguments']\ + \ is none -%}\n {%- else -%}\n {{- raise_exception(\n\ + \ \"chat_template: tool_calls[].function.arguments\ + \ must be a \"\n \"JSON object (mapping), not a string.\ + \ Deserialize arguments \"\n \"before passing to the\ + \ template.\"\n ) -}}\n {%- endif -%}\n\ + \ {{- '}' -}}\n {%- endfor -%}\n\ + \ {%- set ns.prev_message_type = 'tool_call' -%}\n {%-\ + \ endif -%}\n\n {%- set ns_tr_out = namespace(flag=false) -%}\n \ + \ {%- if message.get('tool_responses') -%}\n {#- Legacy:\ + \ tool_responses embedded on the assistant message (Google/Gemma native) -#}\n\ + \ {%- for tool_response in message.get('tool_responses') -%}\n\ + \ {{- format_tool_response_block(tool_response['name'] | default('unknown',\ + \ true), tool_response['response']) -}}\n {%- set ns_tr_out.flag\ + \ = true -%}\n {%- set ns.prev_message_type = 'tool_response'\ + \ -%}\n {%- endfor -%}\n {%- elif message.get('tool_calls')\ + \ -%}\n {#- OpenAI Chat Completions: forward-scan consecutive role:tool\ + \ messages -#}\n {%- set ns_tool_scan = namespace(stopped=false)\ + \ -%}\n {%- for k in range(loop.index0 + 1, loop_messages | length)\ + \ -%}\n {%- if ns_tool_scan.stopped -%}\n \ + \ {%- elif loop_messages[k]['role'] != 'tool' -%}\n {%-\ + \ set ns_tool_scan.stopped = true -%}\n {%- else -%}\n \ + \ {%- set follow = loop_messages[k] -%}\n \ + \ {#- Resolve tool_call_id to function name -#}\n \ + \ {%- set ns_tname = namespace(name=follow.get('name') or 'unknown') -%}\n \ + \ {%- for tc in message.get('tool_calls') -%}\n \ + \ {%- if tc.get('id') == follow.get('tool_call_id') -%}\n \ + \ {%- set ns_tname.name = tc['function']['name']\ + \ -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {#- Handle content as string or content-parts\ + \ array -#}\n {%- set tool_body = follow.get('content')\ + \ -%}\n {%- if tool_body is string -%}\n \ + \ {{- format_tool_response_block(ns_tname.name, tool_body) -}}\n\ + \ {%- elif tool_body is sequence and tool_body is not string\ + \ -%}\n {%- set ns_txt = namespace(s='') -%}\n \ + \ {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') == 'text' -%}\n \ + \ {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}\n\ + \ {%- endif -%}\n {%-\ + \ endfor -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ ns_txt.s) -}}\n {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') in ['image', 'image_url']\ + \ -%}\n {{- '<|image|>' -}}\n \ + \ {%- elif part.get('type') in ['audio', 'input_audio'] -%}\n\ + \ {{- '<|audio|>' -}}\n \ + \ {%- elif part.get('type') == 'video' -%}\n \ + \ {{- '<|video|>' -}}\n {%- endif\ + \ -%}\n {%- endfor -%}\n {%-\ + \ else -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ tool_body) -}}\n {%- endif -%}\n \ + \ {%- set ns_tr_out.flag = true -%}\n {%- set ns.prev_message_type\ + \ = 'tool_response' -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {%- endif -%}\n\n {%- set captured_content\ + \ -%}\n {%- if message.get('content') is string -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(message['content'])\ + \ -}}\n {%- else -%}\n {{- message['content']\ + \ | trim -}}\n {%- endif -%}\n {%- elif message.get('content')\ + \ is sequence -%}\n {%- for item in message['content'] -%}\n \ + \ {%- if item.get('type') == 'text' -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(item['text'])\ + \ -}}\n {%- else -%}\n {{- item['text']\ + \ | trim -}}\n {%- endif -%}\n {%- elif\ + \ item.get('type') in ['image', 'image_url'] -%}\n {{-\ + \ '<|image|>' -}}\n {%- elif item.get('type') in ['audio',\ + \ 'input_audio'] -%}\n {{- '<|audio|>' -}}\n \ + \ {%- elif item.get('type') == 'video' -%}\n {{-\ + \ '<|video|>' -}}\n {%- endif -%}\n {%- endfor\ + \ -%}\n {%- endif -%}\n {%- endset -%}\n\n {{-\ + \ captured_content -}}\n {%- set has_content = captured_content | trim\ + \ | length > 0 -%}\n\n {#- Forward-scan: find next non-tool message role\ + \ for continuation detection -#}\n {%- set next_nt = namespace(role=None,\ + \ found=false) -%}\n {%- for j in range(loop.index0 + 1, loop_messages\ + \ | length) -%}\n {%- if not next_nt.found -%}\n {%-\ + \ if loop_messages[j]['role'] != 'tool' -%}\n {%- set next_nt.role\ + \ = loop_messages[j]['role'] -%}\n {%- set next_nt.found =\ + \ true -%}\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- endfor -%}\n\n {%- set continues_into_next = (\n role\ + \ == 'model'\n and next_nt.role == 'assistant'\n and (not\ + \ message.get('tool_calls') or ns_tr_out.flag)\n ) -%}\n\n {%- if\ + \ ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}\n \ + \ {{- '<|tool_response>' -}}\n {%- elif continues_into_next -%}\n \ + \ {{- '\\n' -}}\n {%- elif not (ns_tr_out.flag and not has_content)\ + \ -%}\n {{- '\\n' -}}\n {%- endif -%}\n\n {#- Track\ + \ previous non-tool role for next iteration (avoids O(n) backward scan) -#}\n\ + \ {%- set ns.prev_non_tool_role = message['role'] -%}\n {%- endif -%}\n\ + {%- endfor -%}\n\n{%- if add_generation_prompt -%}\n {%- if ns.prev_message_type\ + \ != 'tool_response' and ns.prev_message_type != 'tool_call' -%}\n {{-\ + \ '<|turn>model\\n' -}}\n {%- if not enable_thinking -%}\n {{-\ + \ '<|channel>thought\\n' -}}\n {%- endif -%}\n {%- elif ns.prev_message_type\ + \ == 'tool_response' and enable_thinking -%}\n {{- '<|channel>thought\\\ + n' -}}\n {%- endif -%}\n{%- endif -%}" +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vq-config + namespace: h54 + labels: + app: vq +data: + http_proxy: '' + https_proxy: '' + no_proxy: '' + TORCHINDUCTOR_CACHE_DIR: /tmp + NUMBA_CACHE_DIR: /tmp + HF_HOME: /data + OUTLINES_CACHE_DIR: /tmp/.cache/outlines + VLLM_NO_USAGE_STATS: '1' + DO_NOT_TRACK: '1' + TRITON_CACHE_DIR: /tmp/.triton + USER: vllm + VLLM_ALLOW_LONG_MAX_MODEL_LEN: '1' + VLLM_CPU_KVCACHE_SPACE: '40' + VLLM_ENGINE_ITERATION_TIMEOUT_S: '120' + VLLM_RPC_TIMEOUT: '100000' + HF_HUB_OFFLINE: '1' + VLLM_CPU_OMP_THREADS_BIND: 0-47 +--- +apiVersion: v1 +kind: Service +metadata: + name: vq + namespace: h54 + labels: + app: vq +spec: + type: ClusterIP + ports: + - name: http + port: 2080 + targetPort: 2080 + protocol: TCP + selector: + app: vq +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: vq + namespace: h54 + labels: + app: vq +spec: + selector: + matchLabels: + app: vq + template: + metadata: + labels: + app: vq + spec: + hostIPC: true + securityContext: null + containers: + - name: vllm + envFrom: + - configMapRef: + name: vq-config + securityContext: + allowPrivilegeEscalation: false + capabilities: + add: + - SYS_NICE + drop: + - ALL + readOnlyRootFilesystem: true + runAsNonRoot: true + runAsUser: 1001 + seccompProfile: + type: RuntimeDefault + image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + imagePullPolicy: IfNotPresent + args: + - --block-size + - '128' + - --dtype + - bfloat16 + - --distributed_executor_backend + - mp + - --enable_chunked_prefill + - --enforce-eager + - --enable-prefix-caching + - --enable-auto-tool-choice + - --tool-call-parser + - gemma4 + - --chat-template + - /workspace/vllm/examples/tool_chat_template_gemma4.jinja + - --tensor-parallel-size + - '1' + - --pipeline-parallel-size + - '1' + - --model + - /data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized + - --served-model-name + - google/gemma-4-26B-A4B-it + - --port + - '2080' + - --max-model-len + - '8192' + - --attention-backend + - CPU_ATTN + volumeMounts: + - mountPath: /data + name: model-volume + - mountPath: /dev/shm + name: shm + - mountPath: /tmp + name: tmp + - mountPath: /root/.cache/vllm + name: vllm-cache + - mountPath: /workspace/vllm/examples + name: chat-templates + ports: + - name: http + containerPort: 2080 + protocol: TCP + readinessProbe: + failureThreshold: 200 + httpGet: + path: /health + port: http + initialDelaySeconds: 10 + periodSeconds: 5 + volumes: + - name: model-volume + hostPath: + path: /var/apb-models + type: Directory + - name: shm + emptyDir: + medium: Memory + sizeLimit: 1Gi + - name: tmp + emptyDir: {} + - name: vllm-cache + emptyDir: {} + - name: chat-templates + configMap: + name: vq-chat-templates + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: ei-inference-eligible + operator: In + values: + - 'true' + terminationGracePeriodSeconds: 120 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/describe.txt b/bench/h54/results/2026-10-29/H54q/hold1/R/describe.txt new file mode 100644 index 00000000..bedca179 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/describe.txt @@ -0,0 +1,113 @@ +Name: vq-7c45b79c77-xvz77 +Namespace: h54 +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54q-1-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 19:46:41 +0000 +Labels: app=vq + pod-template-hash=7c45b79c77 +Annotations: +Status: Running +IP: 10.42.0.9 +IPs: + IP: 10.42.0.9 +Controlled By: ReplicaSet/vq-7c45b79c77 +Containers: + vllm: + Container ID: containerd://a6210852d4c3b065ba39183bd2508ce5ddc1acf1a52fd2c6be726c31163c7d8a + Image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Image ID: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Port: 2080/TCP (http) + Host Port: 0/TCP (http) + SeccompProfile: RuntimeDefault + Args: + --block-size + 128 + --dtype + bfloat16 + --distributed_executor_backend + mp + --enable_chunked_prefill + --enforce-eager + --enable-prefix-caching + --enable-auto-tool-choice + --tool-call-parser + gemma4 + --chat-template + /workspace/vllm/examples/tool_chat_template_gemma4.jinja + --tensor-parallel-size + 1 + --pipeline-parallel-size + 1 + --model + /data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized + --served-model-name + google/gemma-4-26B-A4B-it + --port + 2080 + --max-model-len + 8192 + --attention-backend + CPU_ATTN + State: Running + Started: Thu, 29 Oct 2026 19:47:33 +0000 + Ready: True + Restart Count: 0 + Readiness: http-get http://:http/health delay=10s timeout=1s period=5s #success=1 #failure=200 + Environment Variables from: + vq-config ConfigMap Optional: false + Environment: + Mounts: + /data from model-volume (rw) + /dev/shm from shm (rw) + /root/.cache/vllm from vllm-cache (rw) + /tmp from tmp (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-8z6jh (ro) + /workspace/vllm/examples from chat-templates (rw) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + model-volume: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + shm: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: Memory + SizeLimit: 1Gi + tmp: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + vllm-cache: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + chat-templates: + Type: ConfigMap (a volume populated by a ConfigMap) + Name: vq-chat-templates + Optional: false + kube-api-access-8z6jh: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: BestEffort +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 11m default-scheduler Successfully assigned h54/vq-7c45b79c77-xvz77 to k3d-k3dgpu-g-h54q-1-server-0 + Normal Pulling 11m kubelet spec.containers{vllm}: Pulling image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" + Normal Pulled 10m kubelet spec.containers{vllm}: Successfully pulled image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" in 51.488s (51.488s including waiting). Image size: 1719072416 bytes. + Normal Created 10m kubelet spec.containers{vllm}: Container created + Normal Started 10m kubelet spec.containers{vllm}: Container started + Warning Unhealthy 9m24s (x9 over 10m) kubelet spec.containers{vllm}: Readiness probe failed: Get "http://10.42.0.9:2080/health": dial tcp 10.42.0.9:2080: connect: connection refused diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/hello.json b/bench/h54/results/2026-10-29/H54q/hold1/R/hello.json new file mode 100644 index 00000000..f3d3083c --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/hello.json @@ -0,0 +1 @@ +{"id":"chatcmpl-8a5a3b6f8187d8ca","object":"chat.completion","created":1793303315,"model":"google/gemma-4-26B-A4B-it","choices":[{"index":0,"message":{"role":"assistant","content":"Hello! How can I help you today?","refusal":null,"annotations":null,"audio":null,"function_call":null,"reasoning":null},"logprobs":null,"finish_reason":"stop","stop_reason":106,"token_ids":null,"routed_experts":null}],"service_tier":null,"system_fingerprint":"vllm-0.32.0-9518c65e","usage":{"prompt_tokens":16,"total_tokens":26,"completion_tokens":10,"prompt_tokens_details":null,"completion_tokens_details":null},"prompt_logprobs":null,"prompt_token_ids":null,"prompt_text":null,"kv_transfer_params":null,"ec_transfer_params":null,"metrics":null} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/image.txt b/bench/h54/results/2026-10-29/H54q/hold1/R/image.txt new file mode 100644 index 00000000..60f9b60d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/image.txt @@ -0,0 +1 @@ +vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/isa.txt b/bench/h54/results/2026-10-29/H54q/hold1/R/isa.txt new file mode 100644 index 00000000..7b8dec53 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/isa.txt @@ -0,0 +1,2 @@ +96 +96 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/items.jsonl b/bench/h54/results/2026-10-29/H54q/hold1/R/items.jsonl new file mode 100644 index 00000000..2635e7b5 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/items.jsonl @@ -0,0 +1,200 @@ +{"seq": 1, "idx": 1, "ok": true, "gold": "3", "reply": "To find the total number of bolts needed for the robe, we follow these steps:\n\n1. **Identify the amount of blue fiber:** The problem states the robe takes 2 bolts of blue fiber.\n2. **Calculate the amount of white fiber:** The problem states it takes \"half that much\" white fiber.\n * Half of 2 bolts = $2 \\div 2 = 1$ bolt of white fiber.\n3. **Calculate the total amount of fiber:** Add the blue fiber and the white fiber together.\n * 2 bolts (blue) + 1 bolt (white) = 3 bolts total.\n\nAnswer: 3", "usage": {"prompt_tokens": 55, "total_tokens": 197, "completion_tokens": 142, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.84, "t1": 1793303346.614, "s": 19.77} +{"seq": 2, "idx": 0, "ok": true, "gold": "18", "reply": "To find out how much Janet makes every day at the farmers' market, we need to calculate the number of eggs she has left to sell after her daily consumption and baking.\n\n1. **Total eggs laid per day:** 16 eggs\n2. **Eggs eaten for breakfast:** 3 eggs\n3. **Eggs used for muffins:** 4 eggs\n4. **Total eggs used per day:** $3 + 4 = 7$ eggs\n5. **Eggs remaining to sell:** $16 - 7 = 9$ eggs\n6. **Price per egg:** $2\n\nNow, multiply the number of eggs remaining by the price per egg:\n$9 \\text{ eggs} \\times \\$2/\\text{egg} = \\$18$\n\nJanet makes $18 every day at the farmers' market.\n\nAnswer: 18", "usage": {"prompt_tokens": 93, "total_tokens": 280, "completion_tokens": 187, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.84, "t1": 1793303352.591, "s": 25.75} +{"seq": 3, "idx": 6, "ok": true, "gold": "260", "reply": "To find the total number of sheep, we calculate the number of sheep for each city based on the information provided.\n\n1. **Seattle:** The problem states that Seattle has 20 sheep.\n * Seattle = 20\n\n2. **Charleston:** The problem states that Charleston has 4 times as many sheep as Seattle.\n * Charleston = 4 \u00d7 Seattle\n * Charleston = 4 \u00d7 20 = 80\n\n3. **Toulouse:** The problem states that Toulouse has twice as many sheep as Charleston.\n * Toulouse = 2 \u00d7 Charleston\n * Toulouse = 2 \u00d7 80 = 160\n\n4. **Total:** To find the total number of sheep, we add the sheep from all three cities together.\n * Total = Toulouse + Charleston + Seattle\n * Total = 160 + 80 + 20\n * Total = 260\n\nAnswer: 260", "usage": {"prompt_tokens": 71, "total_tokens": 297, "completion_tokens": 226, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.843, "t1": 1793303358.004, "s": 31.16} +{"seq": 4, "idx": 3, "ok": true, "gold": "540", "reply": "To find the total number of meters James runs in a week, we can follow these steps:\n\n1. **Calculate the distance run in one session:**\n James runs 3 sprints per session, and each sprint is 60 meters.\n $3 \\text{ sprints} \\times 60 \\text{ meters/sprint} = 180 \\text{ meters per session}$\n\n2. **Calculate the total distance run in a week:**\n James performs this routine 3 times a week.\n $180 \\text{ meters/session} \\times 3 \\text{ sessions/week} = 540 \\text{ meters per week}$\n\nAlternatively, you can calculate the total number of sprints first:\n$3 \\text{ sprints} \\times 3 \\text{ times a week} = 9 \\text{ sprints per week}$\n$9 \\text{ sprints} \\times 60 \\text{ meters/sprint} = 540 \\text{ meters}$\n\nAnswer: 540", "usage": {"prompt_tokens": 63, "total_tokens": 291, "completion_tokens": 228, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.842, "t1": 1793303358.13, "s": 31.29} +{"seq": 5, "idx": 15, "ok": true, "gold": "125", "reply": "To find the maximum profit, we need to calculate the potential profit for each purchase plan and compare them.\n\n**Plan 1: Jewelry**\n* Initial value: $5,000\n* Expected increase: 2.5%\n* Profit calculation: $5,000 \\times 0.025$\n* $5,000 \\times 0.025 = 125$\n* Profit from jewelry = $125\n\n**Plan 2: Electronic Gadgets**\n* Initial value: $8,000\n* Expected increase: 1.2%\n* Profit calculation: $8,000 \\times 0.012$\n* $8,000 \\times 0.012 = 96$\n* Profit from electronic gadgets = $96\n\n**Comparison:**\nThe merchant wants to maximize profit.\n* Profit from jewelry: $125\n* Profit from electronic gadgets: $96\n\nSince $125 > $96, the maximum profit the merchant can achieve by making a choice is $125.\n\nAnswer: 125", "usage": {"prompt_tokens": 123, "total_tokens": 387, "completion_tokens": 264, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.853, "t1": 1793303363.209, "s": 36.36} +{"seq": 6, "idx": 10, "ok": true, "gold": "366", "reply": "To find the total number of downloads over the three months, we calculate the downloads for each month step-by-step:\n\n1. **First Month:**\n The problem states there were **60** downloads.\n\n2. **Second Month:**\n The number of downloads was three times as many as the first month.\n $60 \\times 3 = 180$ downloads.\n\n3. **Third Month:**\n The number of downloads in the second month (180) was reduced by 30% in the third month.\n First, calculate the reduction: $180 \\times 0.30 = 54$.\n Then, subtract the reduction from the second month's total: $180 - 54 = 126$ downloads.\n *(Alternatively: $180 \\times (1 - 0.30) = 180 \\times 0.70 = 126$)*.\n\n4. **Total Downloads:**\n Add the downloads from all three months together:\n $60 \\text{ (Month 1)} + 180 \\text{ (Month 2)} + 126 \\text{ (Month 3)} = 366$.\n\nAnswer: 366", "usage": {"prompt_tokens": 89, "total_tokens": 378, "completion_tokens": 289, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.845, "t1": 1793303366.789, "s": 39.94} +{"seq": 7, "idx": 5, "ok": true, "gold": "64", "reply": "To find the total cost for 16 glasses, we need to determine the price of each glass based on the given rule.\n\n1. **Identify the pricing pattern:**\n * The first glass costs $5.\n * Every second glass (the 2nd, 4th, 6th, etc.) costs 60% of the original price.\n * Price of a regular glass = $5.\n * Price of a discounted glass = $5 \\times 0.60 = $3.\n\n2. **Determine the number of glasses in each category:**\n * Kylar is buying 16 glasses in total.\n * Since the discount applies to \"every second glass,\" half of the glasses will be at the full price and half will be at the discounted price.\n * Number of full-price glasses = $16 / 2 = 8$.\n * Number of discounted glasses = $16 / 2 = 8$.\n\n3. **Calculate the total cost:**\n * Cost of full-price glasses = $8 \\times \\$5 = \\$40$.\n * Cost of discounted glasses = $8 \\times \\$3 = \\$24$.\n * Total cost = $\\$40 + \\$24 = \\$64$.\n\nAnswer: 64", "usage": {"prompt_tokens": 83, "total_tokens": 379, "completion_tokens": 296, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.843, "t1": 1793303367.866, "s": 41.02} +{"seq": 8, "idx": 9, "ok": true, "gold": "460", "reply": "To find Eliza's total earnings for the week, we need to calculate her regular pay and her overtime pay separately and then add them together.\n\n**1. Calculate regular pay:**\nEliza works 40 regular hours at a rate of $10 per hour.\n$$\\text{Regular Pay} = 40 \\text{ hours} \\times \\$10/\\text{hour} = \\$400$$\n\n**2. Calculate overtime pay:**\nFirst, we determine the overtime rate. The problem states the overtime rate is 1.2 times her regular hourly rate.\n$$\\text{Overtime Rate} = 1.2 \\times \\$10/\\text{hour} = \\$12/\\text{hour}$$\n\nNext, we determine the number of overtime hours worked. Since she worked 45 hours total and the first 40 are regular hours:\n$$\\text{Overtime Hours} = 45 \\text{ hours} - 40 \\text{ hours} = 5 \\text{ hours}$$\n\nNow, calculate the total overtime pay:\n$$\\text{Overtime Pay} = 5 \\text{ hours} \\times \\$12/\\text{hour} = \\$60$$\n\n**3. Calculate total earnings:**\nAdd the regular pay and the overtime pay together:\n$$\\text{Total Earnings} = \\$400 + \\$60 = \\$460$$\n\nAnswer: 460", "usage": {"prompt_tokens": 89, "total_tokens": 396, "completion_tokens": 307, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.845, "t1": 1793303369.541, "s": 42.7} +{"seq": 9, "idx": 2, "ok": true, "gold": "70000", "reply": "To find the profit Josh made, we need to calculate his total investment and the final selling price of the house.\n\n**1. Calculate the total investment:**\nJosh's total cost is the purchase price plus the cost of repairs.\nTotal Investment = Purchase Price + Repair Costs\nTotal Investment = $\\$80,000 + \\$50,000 = \\$130,000$\n\n**2. Calculate the final value of the house:**\nThe problem states that the repairs increased the value of the house by 150%. In real estate context, \"increased the value by 150%\" means the value added is 150% of the original purchase price.\nValue Increase = $150\\% \\text{ of } \\$80,000$\nValue Increase = $1.5 \\times \\$80,000 = \\$120,000$\n\nThe final value of the house is the original purchase price plus the increase in value:\nFinal Value = Original Price + Value Increase\nFinal Value = $\\$80,000 + \\$120,000 = \\$200,000$\n\n**3. Calculate the profit:**\nProfit is the final selling price minus the total investment.\nProfit = Final Value - Total Investment\nProfit = $\\$200,000 - \\$130,000 = \\$70,000$\n\nAnswer: 70000", "usage": {"prompt_tokens": 86, "total_tokens": 407, "completion_tokens": 321, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.841, "t1": 1793303371.565, "s": 44.72} +{"seq": 10, "idx": 7, "ok": true, "gold": "160", "reply": "To find the total time it takes to download the file, we need to break the process down into three stages: the initial partial download, the restart time, and the final full download.\n\n**1. The initial partial download:**\nThe file size is 200 GB.\nCarla downloads 40% of the file before the restart occurs.\nAmount downloaded = $200 \\text{ GB} \\times 0.40 = 80 \\text{ GB}$.\nThe download speed is 2 GB/minute.\nTime taken for the first part = $\\frac{80 \\text{ GB}}{2 \\text{ GB/min}} = 40 \\text{ minutes}$.\n\n**2. The restart time:**\nThe problem states that the Windows update restart takes 20 minutes.\nTime for restart = $20 \\text{ minutes}$.\n\n**3. The final download:**\nBecause Carla has to restart the download from the beginning, she must download the entire 200 GB file again.\nTime taken for the full download = $\\frac{200 \\text{ GB}}{2 \\text{ GB/min}} = 100 \\text{ minutes}$.\n\n**4. Total time:**\nTotal time = (Time for first part) + (Time for restart) + (Time for full download)\nTotal time = $40 \\text{ minutes} + 20 \\text{ minutes} + 100 \\text{ minutes} = 160 \\text{ minutes}$.\n\nAnswer: 160", "usage": {"prompt_tokens": 99, "total_tokens": 433, "completion_tokens": 334, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.844, "t1": 1793303373.403, "s": 46.56} +{"seq": 11, "idx": 4, "ok": true, "gold": "20", "reply": "To find the number of cups of feed Wendi needs for the final meal, we can follow these steps:\n\n1. **Determine the total amount of feed needed for the entire day for the whole flock:**\n Each chicken eats 3 cups of feed per day.\n There are 20 chickens in the flock.\n Total feed per day = $20 \\text{ chickens} \\times 3 \\text{ cups/chicken} = 60 \\text{ cups}$.\n\n2. **Calculate the amount of feed already given in the first two meals:**\n Morning meal = 15 cups.\n Afternoon meal = 25 cups.\n Total feed given so far = $15 \\text{ cups} + 25 \\text{ cups} = 40 \\text{ cups}$.\n\n3. **Calculate the amount of feed needed for the final meal:**\n Total daily feed needed - Total feed already given = Final meal amount.\n $60 \\text{ cups} - 40 \\text{ cups} = 20 \\text{ cups}$.\n\nAlternatively, we can calculate the amount needed per meal for the whole flock:\nTotal daily feed = 60 cups.\nThe feed is given in three meals. However, the problem specifies the amounts for the first two meals (15 and 25), so we subtract those from the total daily requirement.\n\nTotal needed: 60 cups\nMorning: 15 cups\nAfternoon: 25 cups\nFinal: $60 - 15 - 25 = 20$ cups.\n\nAnswer: 20", "usage": {"prompt_tokens": 140, "total_tokens": 492, "completion_tokens": 352, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.842, "t1": 1793303375.959, "s": 49.12} +{"seq": 12, "idx": 11, "ok": true, "gold": "694", "reply": "To find the total cost of the pastries, we need to calculate the cost for each type of pastry and then sum them up.\n\n1. **Donuts:**\n Toula bought 3 dozen donuts at $68 per dozen.\n Cost of donuts = $3 \\times 68$\n $3 \\times 60 = 180$\n $3 \\times 8 = 24$\n $180 + 24 = 204$\n Cost of donuts = $204\n\n2. **Mini Cupcakes:**\n Toula bought 2 dozen mini cupcakes at $80 per dozen.\n Cost of cupcakes = $2 \\times 80$\n Cost of cupcakes = $160\n\n3. **Mini Cheesecakes:**\n Toula bought 6 dozen mini cheesecakes at $55 per dozen.\n Cost of cheesecakes = $6 \\times 55$\n $6 \\times 50 = 300$\n $6 \\times 5 = 30$\n $300 + 30 = 330$\n Cost of cheesecakes = $330\n\n4. **Total Cost:**\n Total Cost = Cost of donuts + Cost of cupcakes + Cost of cheesecakes\n Total Cost = $204 + $160 + $330\n $204 + 160 = 364$\n $364 + 330 = 694$\n\nThe total cost is $694.\n\nAnswer: 694", "usage": {"prompt_tokens": 91, "total_tokens": 457, "completion_tokens": 366, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.846, "t1": 1793303377.993, "s": 51.15} +{"seq": 13, "idx": 16, "ok": true, "gold": "230", "reply": "To find the total distance covered by each train, we need to sum the distances traveled on the first day and the second day.\n\n1. **Day 1:** Both trains travel westward for **80 miles**.\n2. **Day 2:** Both trains travel northwards for **150 miles**.\n\nThe question asks for the \"distance covered by each train in the two days.\" This refers to the total path length traveled by each train.\n\nTotal distance = (Distance on Day 1) + (Distance on Day 2)\nTotal distance = 80 miles + 150 miles\nTotal distance = 230 miles\n\n(Note: If the question were asking for the displacement\u2014the straight-line distance from the starting point to the ending point\u2014we would use the Pythagorean theorem: $\\sqrt{80^2 + 150^2} = \\sqrt{6400 + 22500} = \\sqrt{28900} = 170$ miles. However, \"distance covered\" typically refers to the total length of the path traveled.)\n\nAnswer: 230", "usage": {"prompt_tokens": 82, "total_tokens": 327, "completion_tokens": 245, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303346.858, "t1": 1793303381.16, "s": 34.3} +{"seq": 14, "idx": 18, "ok": true, "gold": "7", "reply": "To find out how many dozens of eggs Claire eats in 4 weeks, follow these steps:\n\n1. **Calculate the number of eggs eaten per week:**\n There are 7 days in a week.\n Claire eats 3 eggs per day.\n $3 \\text{ eggs/day} \\times 7 \\text{ days/week} = 21 \\text{ eggs/week}$.\n\n2. **Calculate the total number of eggs eaten in 4 weeks:**\n $21 \\text{ eggs/week} \\times 4 \\text{ weeks} = 84 \\text{ eggs}$.\n\n3. **Convert the total number of eggs into dozens:**\n There are 12 eggs in one dozen.\n $84 \\text{ eggs} \\div 12 \\text{ eggs/dozen} = 7 \\text{ dozens}$.\n\nAnswer: 7", "usage": {"prompt_tokens": 56, "total_tokens": 252, "completion_tokens": 196, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303358.362, "t1": 1793303386.293, "s": 27.93} +{"seq": 15, "idx": 14, "ok": true, "gold": "60", "reply": "To find the percentage of students enrolled in hip-hop dance, we can follow these steps:\n\n1. **Calculate the number of students in contemporary dance:**\n The total number of students is 20.\n 20% of 20 = $0.20 \\times 20 = 4$ students.\n\n2. **Calculate the remaining students after contemporary dance:**\n Remaining students = Total students - Contemporary students\n Remaining students = $20 - 4 = 16$ students.\n\n3. **Calculate the number of students in jazz dance:**\n 25% of the remaining students enrolled in jazz.\n 25% of 16 = $0.25 \\times 16 = 4$ students.\n\n4. **Calculate the number of students in hip-hop dance:**\n The rest of the students enrolled in hip-hop.\n Hip-hop students = Remaining students - Jazz students\n Hip-hop students = $16 - 4 = 12$ students.\n\n5. **Calculate the percentage of the entire class enrolled in hip-hop dance:**\n Percentage = $\\left( \\frac{\\text{Hip-hop students}}{\\text{Total students}} \\right) \\times 100$\n Percentage = $\\left( \\frac{12}{20} \\right) \\times 100$\n Percentage = $0.6 \\times 100 = 60\\%$\n\n**Alternative Method (using percentages directly):**\n1. Contemporary: 20%\n2. Remaining: $100\\% - 20\\% = 80\\%$\n3. Jazz: 25% of 80% = $0.25 \\times 80\\% = 20\\%$\n4. Hip-hop: $100\\% - (\\text{Contemporary} + \\text{Jazz}) = 100\\% - (20\\% + 20\\%) = 60\\%$\n\nAnswer: 60%", "usage": {"prompt_tokens": 83, "total_tokens": 528, "completion_tokens": 445, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.852, "t1": 1793303389.075, "s": 62.22} +{"seq": 16, "idx": 12, "ok": false, "gold": "13", "reply": "To find out how many years it will take for Carlos to start earning money, we need to calculate his annual profit and then determine when that profit covers his initial investment.\n\n1. **Calculate the annual revenue from selling lemons:**\n The tree produces 7 lemons per year, and each lemon sells for $1.50.\n Annual Revenue = $7 \\times \\$1.50 = \\$10.50$\n\n2. **Calculate the annual cost of maintaining the tree:**\n The cost to water and feed the tree is $3 per year.\n Annual Cost = $3.00\n\n3. **Calculate the annual profit:**\n Annual Profit = Annual Revenue - Annual Cost\n Annual Profit = $\\$10.50 - \\$3.00 = \\$7.50$\n\n4. **Calculate the number of years to recover the initial cost:**\n The initial cost to plant the tree is $90. We need to find how many years ($n$) of profit are required to reach $90.\n $n \\times \\$7.50 = \\$90$\n $n = \\frac{90}{7.5}$\n $n = \\frac{900}{75}$\n $n = 12$\n\nAfter 12 years, Carlos will have earned exactly $90 in profit, which covers his initial investment. In the 13th year, he will be \"earning money\" (making a net profit). However, the question asks how many years it will take *before* he starts earning money, which typically refers to the point at which the investment is recouped.\n\nLet's check the math:\nYear 12: Total profit = $12 \\times 7.5 = 90$. (Break-even point)\nYear 13: Total profit = $13 \\times 7.5 = 97.5$. (Net gain)\n\nIn mathematical word problems of this type, the \"break-even\" year is the answer.\n\nAnswer: 12", "usage": {"prompt_tokens": 95, "total_tokens": 547, "completion_tokens": 452, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.847, "t1": 1793303390.137, "s": 63.29} +{"seq": 17, "idx": 22, "ok": true, "gold": "7", "reply": "To find the total number of DVDs Billy sold on Tuesday, we calculate the sales for each group of customers:\n\n1. **First group of customers:** There are 3 customers, and each buys 1 DVD.\n $3 \\times 1 = 3$ DVDs.\n\n2. **Second group of customers:** There are 2 customers, and each buys 2 DVDs.\n $2 \\times 2 = 4$ DVDs.\n\n3. **Third group of customers:** There are 3 customers, and they buy 0 DVDs.\n $3 \\times 0 = 0$ DVDs.\n\nNow, add the totals from each group together:\n$3 + 4 + 0 = 7$ DVDs.\n\nAnswer: 7", "usage": {"prompt_tokens": 85, "total_tokens": 250, "completion_tokens": 165, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303367.867, "t1": 1793303391.626, "s": 23.76} +{"seq": 18, "idx": 13, "ok": true, "gold": "18", "reply": "To find out how many vacuum cleaners Melanie started with, we can work backward from the final amount or use an algebraic equation. Let $x$ be the total number of vacuum cleaners Melanie started with.\n\n**Step 1: Represent the sales at each house.**\n1. **Green House:** She sold a third of her vacuum cleaners.\n Amount sold = $\\frac{1}{3}x$\n Remaining after green house = $x - \\frac{1}{3}x = \\frac{2}{3}x$\n\n2. **Red House:** She sold 2 more to the red house.\n Remaining after red house = $\\frac{2}{3}x - 2$\n\n3. **Orange House:** She sold half of what was left at the orange house.\n Amount sold = $\\frac{1}{2}(\\frac{2}{3}x - 2)$\n Remaining after orange house = $\\frac{1}{2}(\\frac{2}{3}x - 2)$\n\n**Step 2: Set up the equation based on the final amount.**\nWe are told that after the orange house, she has 5 vacuum cleaners left.\n$$\\frac{1}{2}\\left(\\frac{2}{3}x - 2\\right) = 5$$\n\n**Step 3: Solve for $x$.**\nMultiply both sides by 2 to eliminate the fraction:\n$$\\frac{2}{3}x - 2 = 10$$\n\nAdd 2 to both sides:\n$$\\frac{2}{3}x = 12$$\n\nMultiply both sides by 3:\n$$2x = 36$$\n\nDivide by 2:\n$$x = 18$$\n\n**Step 4: Verify the result.**\n- Start with 18.\n- Green house: $\\frac{1}{3}$ of 18 is 6. Remaining: $18 - 6 = 12$.\n- Red house: $12 - 2 = 10$.\n- Orange house: Half of 10 is 5. Remaining: $10 - 5 = 5$.\nThe result matches the problem statement.\n\nAnswer: 18", "usage": {"prompt_tokens": 89, "total_tokens": 569, "completion_tokens": 480, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.848, "t1": 1793303394.24, "s": 67.39} +{"seq": 19, "idx": 8, "ok": true, "gold": "45", "reply": "To find out how far John is from home at the end of the 4 hours, we need to calculate his total distance from home after his initial drive and then subtract the distance he covers on his way back.\n\n**Step 1: Calculate the initial distance from home.**\nJohn drives for 3 hours at 60 mph.\n$\\text{Distance from home} = 3 \\text{ hours} \\times 60 \\text{ mph} = 180 \\text{ miles}$.\n\n**Step 2: Calculate the distance covered during the 4-hour return trip.**\nThe return trip lasts 4 hours in total. We break it down into segments:\n1. **First 2 hours:** He is in standstill traffic.\n $\\text{Distance} = 2 \\text{ hours} \\times 0 \\text{ mph} = 0 \\text{ miles}$.\n2. **Next 0.5 hours (half-hour):** He drives at 30 mph.\n $\\text{Distance} = 0.5 \\text{ hours} \\times 30 \\text{ mph} = 15 \\text{ miles}$.\n3. **Remaining time:** The total time is 4 hours. He has used $2 + 0.5 = 2.5$ hours.\n $\\text{Remaining time} = 4 - 2.5 = 1.5 \\text{ hours}$.\n He drives this time at 80 mph.\n $\\text{Distance} = 1.5 \\text{ hours} \\times 80 \\text{ mph} = 120 \\text{ miles}$.\n\n**Step 3: Calculate the total distance covered on the return trip.**\n$\\text{Total return distance} = 0 + 15 + 120 = 135 \\text{ miles}$.\n\n**Step 4: Calculate the final distance from home.**\nHe started the return trip 180 miles away from home and traveled 135 miles toward it.\n$\\text{Final distance from home} = 180 \\text{ miles} - 135 \\text{ miles} = 45 \\text{ miles}$.\n\nAnswer: 45", "usage": {"prompt_tokens": 133, "total_tokens": 621, "completion_tokens": 488, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303326.844, "t1": 1793303395.497, "s": 68.65} +{"seq": 20, "idx": 23, "ok": true, "gold": "8", "reply": "To find out how many centimeters shorter the candle will be, we need to determine the total number of hours it burned and multiply that by the rate at which it melts.\n\n1. **Calculate the total time burned:**\n The candle burns from 1:00 PM to 5:00 PM.\n $5:00 - 1:00 = 4$ hours.\n\n2. **Calculate the total amount melted:**\n The candle melts at a rate of 2 centimeters per hour.\n $\\text{Total melt} = \\text{Rate} \\times \\text{Time}$\n $\\text{Total melt} = 2 \\text{ cm/hour} \\times 4 \\text{ hours} = 8 \\text{ cm}$.\n\nThe candle will be 8 centimeters shorter.\n\nAnswer: 8", "usage": {"prompt_tokens": 67, "total_tokens": 249, "completion_tokens": 182, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303369.868, "t1": 1793303396.152, "s": 26.28} +{"seq": 21, "idx": 17, "ok": true, "gold": "57500", "reply": "To find Jill's annual salary, we need to calculate her weekly earnings for each job and then multiply the total weekly earnings by the number of weeks she works in a year.\n\n**Step 1: Calculate weekly earnings as a teacher.**\nJill works 35 hours a week at a rate of $20 per hour.\nWeekly teaching pay = $35 \\times \\$20 = \\$700$\n\n**Step 2: Calculate weekly earnings as a coach.**\nJill works 15 hours a week at a rate of $30 per hour.\nWeekly coaching pay = $15 \\times \\$30 = \\$450$\n\n**Step 3: Calculate total weekly earnings.**\nTotal weekly pay = Weekly teaching pay + Weekly coaching pay\nTotal weekly pay = $\\$700 + \\$450 = \\$1,150$\n\n**Step 4: Calculate annual salary.**\nJill works 50 weeks a year.\nAnnual salary = Total weekly pay $\\times$ Number of weeks\nAnnual salary = $\\$1,150 \\times 50$\n\nTo calculate $1,150 \\times 50$:\n$1,150 \\times 5 = 5,750$\n$5,750 \\times 10 = 57,500$\n\nAnnual salary = $57,500\n\nAnswer: 57500", "usage": {"prompt_tokens": 87, "total_tokens": 395, "completion_tokens": 308, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303352.86, "t1": 1793303396.952, "s": 44.09} +{"seq": 22, "idx": 21, "ok": true, "gold": "14", "reply": "To find out how many years ago Raymond's son was born, we need to determine Raymond's current age and then calculate the time elapsed since his son's birth.\n\n1. **Determine Raymond's current age:**\n * Samantha is currently 31 years old.\n * Raymond was born 6 years before Samantha.\n * Therefore, Raymond is $31 + 6 = 37$ years old.\n\n2. **Determine when Raymond's son was born:**\n * Raymond had his son when he was 23 years old.\n * To find out how many years ago this was, we subtract his age at the son's birth from his current age.\n * Years since son's birth = (Raymond's current age) - (Raymond's age when son was born)\n * Years since son's birth = $37 - 23 = 14$.\n\nAlternatively, we can calculate the son's current age:\n* Raymond is 37.\n* He had his son at 23.\n* The son is currently $37 - 23 = 14$ years old.\n* If the son is 14, he was born 14 years ago.\n\nAnswer: 14", "usage": {"prompt_tokens": 75, "total_tokens": 366, "completion_tokens": 291, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303366.866, "t1": 1793303408.628, "s": 41.76} +{"seq": 23, "idx": 28, "ok": true, "gold": "25", "reply": "To find the number of miles Henry traveled between his first and second stops, we can follow these steps:\n\n1. **Identify the total distance of the trip:**\n The total distance is 60 miles.\n\n2. **Determine the location of the first stop:**\n Henry stopped after 20 miles.\n First stop = 20 miles.\n\n3. **Determine the location of the second stop:**\n The second stop was 15 miles before the end of the trip.\n Second stop = Total distance - 15 miles\n Second stop = 60 - 15 = 45 miles.\n\n4. **Calculate the distance between the first and second stops:**\n Distance = Second stop location - First stop location\n Distance = 45 miles - 20 miles = 25 miles.\n\nAnswer: 25", "usage": {"prompt_tokens": 80, "total_tokens": 270, "completion_tokens": 190, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303381.374, "t1": 1793303408.628, "s": 27.25} +{"seq": 24, "idx": 27, "ok": true, "gold": "16", "reply": "To find out how much Cynthia will spend on ice cream after 60 days, we follow these steps:\n\n1. **Determine the total number of servings needed:**\n Cynthia eats one serving every night. For 60 days, she will need:\n $60 \\text{ days} \\times 1 \\text{ serving/day} = 60 \\text{ servings}$\n\n2. **Determine the number of cartons required:**\n Each carton contains 15 servings. To find the number of cartons needed for 60 servings, we divide the total servings by the servings per carton:\n $60 \\text{ servings} \\div 15 \\text{ servings/carton} = 4 \\text{ cartons}$\n\n3. **Calculate the total cost:**\n Each carton costs $4.00. Since she needs 4 cartons, the total cost is:\n $4 \\text{ cartons} \\times \\$4.00/\\text{carton} = \\$16.00$\n\nAnswer: 16.00", "usage": {"prompt_tokens": 85, "total_tokens": 320, "completion_tokens": 235, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303378.372, "t1": 1793303411.949, "s": 33.58} +{"seq": 25, "idx": 32, "ok": true, "gold": "35", "reply": "To find the total number of hours John spends taking care of dogs in a week, follow these steps:\n\n1. **Calculate the daily time spent on all dogs:**\n John has 10 dogs, and each dog takes 0.5 hours per day.\n $10 \\text{ dogs} \\times 0.5 \\text{ hours/dog} = 5 \\text{ hours per day}$\n\n2. **Calculate the weekly time spent:**\n There are 7 days in a week.\n $5 \\text{ hours/day} \\times 7 \\text{ days/week} = 35 \\text{ hours per week}$\n\nAnswer: 35", "usage": {"prompt_tokens": 70, "total_tokens": 221, "completion_tokens": 151, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303391.879, "t1": 1793303413.698, "s": 21.82} +{"seq": 26, "idx": 20, "ok": true, "gold": "15", "reply": "To find the total amount of water in the final mixture, we need to calculate the water content in the orange drink and the pineapple drink separately, accounting for the spill.\n\n**1. Calculate the water in the orange drink:**\n* Initial volume of orange drink = 10 liters.\n* Water content fraction = $2/3$.\n* Initial water in orange drink = $10 \\times \\frac{2}{3} = \\frac{20}{3}$ liters.\n* Since 1 liter of the orange drink is spilled, we need to find the water content of the remaining 9 liters.\n* The concentration of water in the orange drink is $2/3$.\n* Water in the remaining 9 liters of orange drink = $9 \\times \\frac{2}{3} = 6$ liters.\n\n**2. Calculate the water in the pineapple drink:**\n* Volume of pineapple drink = 15 liters.\n* Water content fraction = $3/5$.\n* Water in pineapple drink = $15 \\times \\frac{3}{5} = 3 \\times 3 = 9$ liters.\n\n**3. Calculate the total water in the final mixture:**\n* Total water = (Water from remaining orange drink) + (Water from pineapple drink)\n* Total water = $6 \\text{ liters} + 9 \\text{ liters} = 15 \\text{ liters}$.\n\n**Verification of the total volume:**\n* Remaining orange drink = 9 liters.\n* Pineapple drink = 15 liters.\n* Total volume = $9 + 15 = 24$ liters. (This matches the volume given in the problem).\n\nAnswer: 15", "usage": {"prompt_tokens": 92, "total_tokens": 472, "completion_tokens": 380, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303363.364, "t1": 1793303417.977, "s": 54.61} +{"seq": 27, "idx": 19, "ok": true, "gold": "6", "reply": "To find the speed Marissa needs to walk the remaining distance, we follow these steps:\n\n1. **Determine the total distance and the target total time:**\n The total distance of the trail is $D = 12$ miles.\n Marissa wants her average speed to be $V_{avg} = 4$ miles per hour.\n The formula for average speed is $V_{avg} = \\frac{\\text{Total Distance}}{\\text{Total Time}}$.\n Rearranging to find the total time required:\n $\\text{Total Time} = \\frac{\\text{Total Distance}}{V_{avg}} = \\frac{12 \\text{ miles}}{4 \\text{ mph}} = 3 \\text{ hours}$.\n\n2. **Calculate the distance and time already covered:**\n - First segment: Distance $d_1 = 4$ miles, Time $t_1 = 1$ hour.\n - Second segment: Distance $d_2 = 2$ miles, Time $t_2 = 1$ hour.\n - Total distance covered so far: $d_{covered} = 4 + 2 = 6$ miles.\n - Total time spent so far: $t_{spent} = 1 + 1 = 2$ hours.\n\n3. **Calculate the remaining distance and remaining time:**\n - Remaining distance: $d_{rem} = \\text{Total Distance} - d_{covered} = 12 - 6 = 6$ miles.\n - Remaining time: $t_{rem} = \\text{Total Time} - t_{spent} = 3 - 2 = 1$ hour.\n\n4. **Calculate the required speed for the remaining distance:**\n The speed needed for the remaining part is the remaining distance divided by the remaining time:\n $V_{rem} = \\frac{d_{rem}}{t_{rem}} = \\frac{6 \\text{ miles}}{1 \\text{ hour}} = 6 \\text{ mph}$.\n\nAnswer: 6", "usage": {"prompt_tokens": 95, "total_tokens": 539, "completion_tokens": 444, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303358.363, "t1": 1793303421.835, "s": 63.47} +{"seq": 28, "idx": 29, "ok": true, "gold": "104", "reply": "To find the cost of the boots, we can follow these steps:\n\n1. **Identify the cost of the high heels:**\n * The first pair of high heels costs $33.\n * The second pair of high heels costs twice as much as the first pair: $33 \\times 2 = \\$66$.\n\n2. **Calculate the total cost of the two pairs of high heels:**\n * Total cost of heels = $\\$33 + \\$66 = \\$99$.\n\n3. **Determine the cost of the boots:**\n * The problem states that the two pairs of high heels together cost five dollars less than the boots.\n * Let $B$ be the cost of the boots.\n * The equation is: $\\text{Total cost of heels} = B - 5$.\n * Substitute the total cost of the heels into the equation: $99 = B - 5$.\n * Solve for $B$: $B = 99 + 5 = 104$.\n\nThe boots cost $104.\n\nAnswer: 104", "usage": {"prompt_tokens": 96, "total_tokens": 344, "completion_tokens": 248, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303386.375, "t1": 1793303421.964, "s": 35.59} +{"seq": 29, "idx": 26, "ok": true, "gold": "243", "reply": "To find the total amount Mishka spent, we need to calculate the cost for each type of item and then sum them up.\n\n1. **Calculate the cost of the shorts:**\n Mishka bought 3 pairs of shorts at $16.50 each.\n $3 \\times 16.50 = 49.50$\n\n2. **Calculate the cost of the pants:**\n Mishka bought 3 pairs of pants at $22.50 each.\n $3 \\times 22.50 = 67.50$\n\n3. **Calculate the cost of the shoes:**\n Mishka bought 3 pairs of shoes at $42.00 each.\n $3 \\times 42 = 126.00$\n\n4. **Calculate the total cost:**\n Total = Cost of shorts + Cost of pants + Cost of shoes\n Total = $49.50 + 67.50 + 126.00$\n\n First, add the shorts and pants:\n $49.50 + 67.50 = 117.00$\n\n Then, add the shoes:\n $117.00 + 126.00 = 243.00$\n\nMishka spent $243.00 on all the clothing items.\n\nAnswer: 243", "usage": {"prompt_tokens": 98, "total_tokens": 423, "completion_tokens": 325, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303376.371, "t1": 1793303423.05, "s": 46.68} +{"seq": 30, "idx": 34, "ok": true, "gold": "23", "reply": "To find out how many jewels Siobhan has, we can follow these steps:\n\n1. **Find the number of jewels Raymond has:**\n Raymond has 40 jewels.\n\n2. **Find the number of jewels Aaron has:**\n The problem states that Aaron has 5 more jewels than half of Raymond's jewels.\n Half of Raymond's jewels = $40 / 2 = 20$.\n Aaron's jewels = $20 + 5 = 25$.\n\n3. **Find the number of jewels Siobhan has:**\n The problem states that Siobhan has 2 fewer jewels than Aaron.\n Siobhan's jewels = $25 - 2 = 23$.\n\n**Summary of calculations:**\n- Raymond: 40\n- Aaron: $(40 / 2) + 5 = 25$\n- Siobhan: $25 - 2 = 23$\n\nAnswer: 23", "usage": {"prompt_tokens": 71, "total_tokens": 289, "completion_tokens": 218, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303395.881, "t1": 1793303426.927, "s": 31.05} +{"seq": 31, "idx": 35, "ok": true, "gold": "9", "reply": "To find the total number of points Mike scored, we need to calculate the points scored in each 20-minute interval and then sum them up.\n\n1. **Points scored in the first 20 minutes:**\n Mike scored 4 points.\n\n2. **Points scored in the second 20 minutes:**\n He scored 25% more points than in the first 20 minutes.\n First, calculate 25% of the points from the first interval:\n $25\\% \\text{ of } 4 = 0.25 \\times 4 = 1$\n Now, add this to the original 4 points:\n $4 + 1 = 5$ points.\n\n3. **Total points scored:**\n Add the points from the first 20 minutes and the second 20 minutes:\n $4 \\text{ (first interval)} + 5 \\text{ (second interval)} = 9$ points.\n\nAnswer: 9", "usage": {"prompt_tokens": 81, "total_tokens": 301, "completion_tokens": 220, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303396.382, "t1": 1793303427.733, "s": 31.35} +{"seq": 32, "idx": 31, "ok": true, "gold": "80", "reply": "To find the average guess, we first need to determine the value of each friend's guess.\n\n1. **First friend's guess:**\n The first friend says **80**.\n\n2. **Second friend's guess:**\n The second friend says \"20 more than half the first one.\"\n Half of the first guess is $80 / 2 = 40$.\n 20 more than 40 is $40 + 20 = 60$.\n So, the second guess is **60**.\n\n3. **Third friend's guess:**\n The third friend says \"25% more than the first one.\"\n 25% of the first guess is $0.25 \\times 80 = 20$.\n 25% more than 80 is $80 + 20 = 100$.\n So, the third guess is **100**.\n\n4. **Calculate the average:**\n To find the average, we add the three guesses together and divide by the number of friends (3).\n Sum of guesses = $80 + 60 + 100 = 240$.\n Average = $240 / 3 = 80$.\n\nAnswer: 80", "usage": {"prompt_tokens": 92, "total_tokens": 381, "completion_tokens": 289, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303390.378, "t1": 1793303431.753, "s": 41.38} +{"seq": 33, "idx": 24, "ok": true, "gold": "26", "reply": "To find the original price of the book, we can follow these steps:\n\n1. **Identify the given information:**\n * The sale price (what Kyle paid) is $19.50.\n * The discount rate is 25%.\n\n2. **Understand the relationship between the sale price and the original price:**\n * If the discount is 25%, the sale price represents $100\\% - 25\\% = 75\\%$ of the original price.\n\n3. **Set up an equation:**\n Let $x$ be the original price.\n $0.75x = 19.50$\n\n4. **Solve for $x$:**\n To isolate $x$, divide both sides of the equation by 0.75:\n $x = \\frac{19.50}{0.75}$\n\n5. **Perform the calculation:**\n To make the division easier, you can multiply both the numerator and the denominator by 100 to remove the decimals:\n $x = \\frac{1950}{75}$\n\n Now, divide 1950 by 75:\n $75 \\times 2 = 150$\n $195 - 150 = 45$\n Bring down the 0 to get 450.\n $75 \\times 6 = 450$ (since $75 \\times 2 = 150$ and $150 \\times 3 = 450$)\n\n So, $x = 26$.\n\n6. **Verify the result:**\n 25% of $26 is $26 \\times 0.25 = 6.50$.\n Original price ($26.00) - Discount ($6.50) = $19.50.\n The calculation is correct.\n\nAnswer: 26", "usage": {"prompt_tokens": 70, "total_tokens": 512, "completion_tokens": 442, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303371.869, "t1": 1793303434.856, "s": 62.99} +{"seq": 34, "idx": 30, "ok": true, "gold": "109", "reply": "To find Allen's age 10 years from now, we first need to determine his current age based on the given ratio and total age.\n\n1. **Identify the ratio and the total age:**\n The ratio of Darrell's age to Allen's age is $7:11$.\n The sum of their current ages is $162$.\n\n2. **Set up an equation using a variable:**\n Let the common multiplier for the ratio be $x$.\n Darrell's current age = $7x$\n Allen's current age = $11x$\n\n3. **Solve for $x$:**\n The sum of their ages is $162$:\n $7x + 11x = 162$\n $18x = 162$\n $x = \\frac{162}{18}$\n $x = 9$\n\n4. **Calculate Allen's current age:**\n Allen's current age = $11x$\n Allen's current age = $11 \\times 9 = 99$\n\n5. **Calculate Allen's age 10 years from now:**\n Allen's age in 10 years = Current age + 10\n Allen's age in 10 years = $99 + 10 = 109$\n\nAnswer: 109", "usage": {"prompt_tokens": 70, "total_tokens": 388, "completion_tokens": 318, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303389.377, "t1": 1793303434.857, "s": 45.48} +{"seq": 35, "idx": 33, "ok": true, "gold": "70", "reply": "To find the number of gold coins Gretchen has, we can set up a system of linear equations based on the information provided.\n\nLet $g$ be the number of gold coins.\nLet $s$ be the number of silver coins.\n\nWe are given two pieces of information:\n1. The total number of coins is 110:\n $g + s = 110$\n\n2. There are 30 more gold coins than silver coins:\n $g = s + 30$\n\nNow, we can substitute the second equation into the first equation to solve for $s$:\n$(s + 30) + s = 110$\n$2s + 30 = 110$\n\nSubtract 30 from both sides:\n$2s = 110 - 30$\n$2s = 80$\n\nDivide by 2:\n$s = 40$\n\nNow that we know there are 40 silver coins, we can find the number of gold coins using the second equation:\n$g = s + 30$\n$g = 40 + 30$\n$g = 70$\n\n**Check:**\nTotal coins: $70 + 40 = 110$ (Correct)\nDifference: $70 - 40 = 30$ (Correct)\n\nAnswer: 70", "usage": {"prompt_tokens": 59, "total_tokens": 369, "completion_tokens": 310, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303394.38, "t1": 1793303438.443, "s": 44.06} +{"seq": 36, "idx": 36, "ok": true, "gold": "75", "reply": "To find out how much Terry spends on yogurt over 30 days, follow these steps:\n\n1. **Calculate the total number of yogurts Terry eats in 30 days:**\n Terry eats 2 yogurts per day.\n $2 \\text{ yogurts/day} \\times 30 \\text{ days} = 60 \\text{ yogurts}$\n\n2. **Determine the cost per yogurt or the number of sale packs needed:**\n The yogurts are sold in packs of 4 for $5.00.\n To find how many packs Terry needs to buy to get 60 yogurts:\n $60 \\text{ yogurts} \\div 4 \\text{ yogurts/pack} = 15 \\text{ packs}$\n\n3. **Calculate the total cost:**\n Each pack costs $5.00.\n $15 \\text{ packs} \\times \\$5.00/\\text{pack} = \\$75.00$\n\nAlternatively, you can find the price per yogurt:\nPrice per yogurt = $\\$5.00 \\div 4 = \\$1.25$\nTotal cost = $60 \\text{ yogurts} \\times \\$1.25 = \\$75.00$\n\nAnswer: 75.00", "usage": {"prompt_tokens": 70, "total_tokens": 361, "completion_tokens": 291, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303397.383, "t1": 1793303438.443, "s": 41.06} +{"seq": 37, "idx": 25, "ok": true, "gold": "2", "reply": "To find the number of boxes of pizza Marie ordered, we first need to calculate the total cost of the items she bought excluding the pizza.\n\n1. **Calculate the cost of the chicken meal:**\n 1 meal \u00d7 $12 = $12.00\n\n2. **Calculate the cost of the milk:**\n 5 packs \u00d7 $3 = $15.00\n\n3. **Calculate the cost of the apples:**\n 4 apples \u00d7 $1.50 = $6.00\n\n4. **Calculate the subtotal of these items:**\n $12.00 + $15.00 + $6.00 = $33.00\n\n5. **Calculate the total amount spent on pizza:**\n Marie paid a total of $50.00.\n Total spent on pizza = Total paid - Subtotal of other items\n Total spent on pizza = $50.00 - $33.00 = $17.00\n\nWait, let me re-check the math.\n$12 + $15 + $6 = $33.\n$50 - $33 = $17.\n\nLet's re-read the problem to ensure no errors were made in reading the values.\nChicken: $12\nMilk: 5 * $3 = $15\nApples: 4 * $1.50 = $6\nTotal paid: $50\nPizza cost per box: $8.50\n\nCalculation:\n$12 + $15 + $6 = $33.\n$50 - $33 = $17.\nNumber of pizza boxes = $17 / $8.50.\n\n$17 / $8.50 = 2.\n\nLet's double check:\n2 boxes of pizza * $8.50 = $17.00.\n$17.00 (pizza) + $12.00 (chicken) + $15.00 (milk) + $6.00 (apples) = $50.00.\n\nThe math is correct.\n\nAnswer: 2", "usage": {"prompt_tokens": 96, "total_tokens": 574, "completion_tokens": 478, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303373.87, "t1": 1793303441.889, "s": 68.02} +{"seq": 38, "idx": 37, "ok": true, "gold": "2", "reply": "To find out how many lego sets John still has, we need to calculate how many he sold and subtract that from the total number he started with.\n\n1. **Calculate the total money John spent on video games:**\n He bought 8 video games for $20 each.\n $8 \\times \\$20 = \\$160$\n\n2. **Calculate the total money John had after selling the lego sets:**\n He spent $160 on games and had $5 left over.\n $\\$160 + \\$5 = \\$165$\n\n3. **Calculate how many lego sets he sold:**\n Each lego set was sold for $15. We divide the total money earned by the price per set.\n $\\$165 \\div \\$15 = 11$ sets sold.\n\n4. **Calculate how many lego sets he has left:**\n He started with 13 lego sets and sold 11.\n $13 - 11 = 2$\n\nJohn has 2 lego sets left.\n\nAnswer: 2", "usage": {"prompt_tokens": 90, "total_tokens": 327, "completion_tokens": 237, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303408.886, "t1": 1793303442.635, "s": 33.75} +{"seq": 39, "idx": 40, "ok": true, "gold": "8", "reply": "To find the age of Brandon's iPhone, we can follow the information given step by step:\n\n1. **Suzy's iPhone age:** The problem states that Suzy's iPhone is **1 year old**.\n2. **Ben's iPhone age:** The problem states that Ben's iPhone is \"two times older than Suzy's iPhone.\" In common mathematical word problems, \"two times older than\" or \"two times as old as\" means we multiply the base age by 2.\n * Ben's iPhone = $1 \\text{ year} \\times 2 = 2 \\text{ years old}$.\n3. **Brandon's iPhone age:** The problem states that Brandon's iPhone is \"four times as old as Ben's iPhone.\"\n * Brandon's iPhone = $2 \\text{ years} \\times 4 = 8 \\text{ years old}$.\n\n**Summary of ages:**\n* Suzy: 1\n* Ben: 2\n* Brandon: 8\n\nAnswer: 8", "usage": {"prompt_tokens": 77, "total_tokens": 306, "completion_tokens": 229, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303413.888, "t1": 1793303446.307, "s": 32.42} +{"seq": 40, "idx": 38, "ok": true, "gold": "10", "reply": "To find out how fast John runs, we need to determine his total running time and then divide his total distance by that time.\n\n**1. Calculate the total time spent running:**\n* **Day 1:** John runs for 3 hours.\n* **Day 2:** He runs half as much as the first day.\n $3 \\text{ hours} \\times \\frac{1}{2} = 1.5 \\text{ hours}$.\n* **Day 3:** He runs half as much as the first day.\n $3 \\text{ hours} \\times \\frac{1}{2} = 1.5 \\text{ hours}$.\n\n**Total time** = $3 + 1.5 + 1.5 = 6 \\text{ hours}$.\n\n**2. Calculate the speed:**\n* **Total distance** = 60 miles.\n* **Total time** = 6 hours.\n* **Speed** = $\\frac{\\text{Total Distance}}{\\text{Total Time}}$\n* **Speed** = $\\frac{60 \\text{ miles}}{6 \\text{ hours}} = 10 \\text{ miles per hour}$.\n\nAnswer: 10", "usage": {"prompt_tokens": 73, "total_tokens": 337, "completion_tokens": 264, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303408.886, "t1": 1793303446.744, "s": 37.86} +{"seq": 41, "idx": 42, "ok": true, "gold": "26", "reply": "To find out how many pieces of pie were taken by the guests, we follow these steps:\n\n1. **Calculate the total number of pieces baked:**\n Grandma Jones baked 5 pies, and each pie was cut into 8 pieces.\n Total pieces = $5 \\text{ pies} \\times 8 \\text{ pieces/pie} = 40 \\text{ pieces}$.\n\n2. **Determine how many pieces were left:**\n The problem states that at the end of the evening, there were 14 pieces remaining.\n\n3. **Calculate the number of pieces taken by the guests:**\n To find the number of pieces taken, subtract the remaining pieces from the total number of pieces baked.\n Pieces taken = Total pieces - Remaining pieces\n Pieces taken = $40 - 14 = 26$.\n\nAnswer: 26", "usage": {"prompt_tokens": 110, "total_tokens": 298, "completion_tokens": 188, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303421.891, "t1": 1793303448.802, "s": 26.91} +{"seq": 42, "idx": 48, "ok": true, "gold": "8", "reply": "To find out how many 6-inch pieces can be obtained from a 4-foot wire, we first need to ensure both measurements are in the same unit.\n\n1. **Convert feet to inches:**\n There are 12 inches in 1 foot.\n $4 \\text{ feet} \\times 12 \\text{ inches/foot} = 48 \\text{ inches}$\n\n2. **Divide the total length by the length of each piece:**\n The total length of the wire is 48 inches, and each piece is 6 inches long.\n $48 \\text{ inches} \\div 6 \\text{ inches/piece} = 8 \\text{ pieces}$\n\nTracy obtained 8 pieces.\n\nAnswer: 8", "usage": {"prompt_tokens": 65, "total_tokens": 233, "completion_tokens": 168, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303434.898, "t1": 1793303458.365, "s": 23.47} +{"seq": 43, "idx": 44, "ok": true, "gold": "20", "reply": "To find Charlie's net profit, we need to calculate his total revenue and subtract his total costs.\n\n**1. Calculate Total Revenue:**\nCharlie sells each candle for $2.00. He makes and sells 20 candles.\nTotal Revenue = Number of candles \u00d7 Price per candle\nTotal Revenue = 20 \u00d7 $2.00 = $40.00\n\n**2. Calculate Total Costs:**\nWe are told that 1 pound of beeswax makes 10 candles and the cost for 1 pound of beeswax plus wicks is $10.00.\nFirst, determine how many pounds of beeswax are needed for 20 candles:\nPounds needed = Total candles / Candles per pound\nPounds needed = 20 / 10 = 2 pounds\n\nNext, calculate the cost for 2 pounds of supplies:\nTotal Cost = Pounds needed \u00d7 Cost per pound\nTotal Cost = 2 \u00d7 $10.00 = $20.00\n\n**3. Calculate Net Profit:**\nNet Profit = Total Revenue - Total Cost\nNet Profit = $40.00 - $20.00 = $20.00\n\nAnswer: 20.00", "usage": {"prompt_tokens": 100, "total_tokens": 362, "completion_tokens": 262, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303423.392, "t1": 1793303459.981, "s": 36.59} +{"seq": 44, "idx": 41, "ok": true, "gold": "200", "reply": "To find out how far outside the reach of the dragon's flames Polly can stand, we need to calculate her new throwing distance and compare it to the dragon's fire range.\n\n1. **Identify the dragon's fire range:**\n The dragon breathes fire up to a distance of $1000$ feet.\n\n2. **Identify Polly's base throwing distance:**\n Without the gemstone, Polly can throw the javelin $400$ feet.\n\n3. **Calculate Polly's throwing distance with the sapphire gemstone:**\n The problem states that with the gemstone, she can throw the javelin three times farther than her base distance.\n $\\text{New distance} = 400 \\text{ feet} \\times 3 = 1200 \\text{ feet}$.\n\n4. **Calculate the distance outside the dragon's reach:**\n Polly can hit the dragon from $1200$ feet away. The dragon's flames reach $1000$ feet. To find how far outside the flames she can stand and still hit the dragon, we subtract the dragon's range from Polly's maximum range:\n $\\text{Distance outside flames} = 1200 \\text{ feet} - 1000 \\text{ feet} = 200 \\text{ feet}$.\n\nAnswer: 200", "usage": {"prompt_tokens": 154, "total_tokens": 454, "completion_tokens": 300, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303418.39, "t1": 1793303460.498, "s": 42.11} +{"seq": 45, "idx": 45, "ok": true, "gold": "104", "reply": "To find the total number of hours Meredith spent writing articles, we first need to determine the number of articles she wrote each day.\n\n1. **Monday:**\n Meredith wrote 5 articles.\n\n2. **Tuesday:**\n She wrote $2/5$ times more articles than on Monday.\n First, calculate the additional amount: $\\frac{2}{5} \\times 5 = 2$ articles.\n Total for Tuesday: $5 + 2 = 7$ articles.\n\n3. **Wednesday:**\n She wrote twice the number of articles she wrote on Tuesday.\n Total for Wednesday: $7 \\times 2 = 14$ articles.\n\n4. **Total number of articles:**\n Total articles = Monday + Tuesday + Wednesday\n Total articles = $5 + 7 + 14 = 26$ articles.\n\n5. **Total number of hours:**\n Each article takes an average of 4 hours to research and write.\n Total hours = $26 \\text{ articles} \\times 4 \\text{ hours/article}$\n Total hours = $104$ hours.\n\nAnswer: 104", "usage": {"prompt_tokens": 121, "total_tokens": 380, "completion_tokens": 259, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303427.394, "t1": 1793303463.669, "s": 36.28} +{"seq": 46, "idx": 51, "ok": true, "gold": "5", "reply": "To find out how long it takes Tom to get back, we first need to determine the distance he traveled.\n\n1. **Calculate the time spent sailing away:**\n Tom sails from 1 PM to 4 PM.\n Time = 4 PM - 1 PM = 3 hours.\n\n2. **Calculate the distance traveled:**\n The ship travels at a rate of 10 miles per hour.\n Distance = Speed \u00d7 Time\n Distance = 10 mph \u00d7 3 hours = 30 miles.\n\n3. **Calculate the time taken to travel back:**\n Tom travels back the same distance (30 miles) at a rate of 6 miles per hour.\n Time = Distance / Speed\n Time = 30 miles / 6 mph = 5 hours.\n\nIt takes him 5 hours to get back.\n\nAnswer: 5", "usage": {"prompt_tokens": 79, "total_tokens": 270, "completion_tokens": 191, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303438.901, "t1": 1793303465.746, "s": 26.84} +{"seq": 47, "idx": 55, "ok": true, "gold": "14", "reply": "To find out how many bags Jean can fill, follow these steps:\n\n1. **Calculate the remaining lollipops:** Jean starts with 30 lollipops and eats 2.\n $30 - 2 = 28$ lollipops remaining.\n\n2. **Calculate the number of bags:** Jean wants to put 2 lollipops in each bag. To find the number of bags, divide the remaining lollipops by the number of lollipops per bag.\n $28 \\div 2 = 14$ bags.\n\nJean can fill 14 bags.\n\nAnswer: 14", "usage": {"prompt_tokens": 75, "total_tokens": 212, "completion_tokens": 137, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303446.905, "t1": 1793303465.746, "s": 18.84} +{"seq": 48, "idx": 50, "ok": true, "gold": "294", "reply": "To find out how much Lloyd makes on eggs per week, follow these steps:\n\n1. **Calculate the number of eggs produced per week:**\n Lloyd produces 252 eggs per day.\n There are 7 days in a week.\n $252 \\text{ eggs/day} \\times 7 \\text{ days/week} = 1,764 \\text{ eggs/week}$.\n\n2. **Convert the total number of eggs into dozens:**\n There are 12 eggs in a dozen.\n $1,764 \\text{ eggs} \\div 12 \\text{ eggs/dozen} = 147 \\text{ dozen}$.\n\n3. **Calculate the total revenue:**\n Lloyd sells each dozen for $2.\n $147 \\text{ dozen} \\times \\$2/\\text{dozen} = \\$294$.\n\nAnswer: 294", "usage": {"prompt_tokens": 65, "total_tokens": 271, "completion_tokens": 206, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303438.9, "t1": 1793303467.893, "s": 28.99} +{"seq": 49, "idx": 49, "ok": true, "gold": "30", "reply": "To find the total number of unoccupied units in the building, follow these steps:\n\n1. **Calculate the total number of units in the building:**\n The building has 15 floors, and each floor has 8 units.\n Total units = $15 \\times 8 = 120$ units.\n\n2. **Determine the fraction of unoccupied units:**\n The problem states that $3/4$ of the building is occupied.\n Since the whole building represents 1, the fraction of unoccupied units is:\n $1 - 3/4 = 1/4$.\n\n3. **Calculate the number of unoccupied units:**\n Multiply the total number of units by the fraction of unoccupied units:\n Unoccupied units = $120 \\times \\frac{1}{4}$\n Unoccupied units = $30$.\n\nAlternatively, you can calculate the number of occupied units first:\nOccupied units = $120 \\times \\frac{3}{4} = 90$.\nUnoccupied units = Total units - Occupied units = $120 - 90 = 30$.\n\nAnswer: 30", "usage": {"prompt_tokens": 72, "total_tokens": 326, "completion_tokens": 254, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303434.899, "t1": 1793303470.518, "s": 35.62} +{"seq": 50, "idx": 56, "ok": true, "gold": "3", "reply": "To find out how many times Peter can go to the movies, we first need to determine the total cost of one trip to the movies.\n\n1. **Calculate the cost per trip:**\n * Ticket cost: $7\n * Popcorn cost: $7\n * Total cost per trip = $7 + $7 = $14\n\n2. **Calculate the number of trips Peter can afford:**\n * Total money available: $42\n * Cost per trip: $14\n * Number of trips = Total money / Cost per trip\n * Number of trips = $42 / $14\n\n3. **Perform the division:**\n * $42 \\div 14 = 3$\n\nPeter can go to the movies 3 times.\n\nAnswer: 3", "usage": {"prompt_tokens": 74, "total_tokens": 257, "completion_tokens": 183, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303448.906, "t1": 1793303474.117, "s": 25.21} +{"seq": 51, "idx": 54, "ok": true, "gold": "40", "reply": "To find the total number of kittens the Doubtfire family now has, we need to sum the number of adopted kittens and the number of new kittens born to Patchy and Trixie.\n\n1. **Adopted kittens:** The sisters started with 7 kittens.\n2. **Patchy's kittens:** The problem states Patchy had thrice (3 times) the number of adopted kittens.\n $3 \\times 7 = 21$ kittens.\n3. **Trixie's kittens:** The problem states Trixie had 12 kittens.\n4. **Total kittens:** Add all the groups together:\n $7 \\text{ (adopted)} + 21 \\text{ (Patchy's)} + 12 \\text{ (Trixie's)} = 40$ kittens.\n\nTotal = $7 + 21 + 12 = 40$.\n\nAnswer: 40", "usage": {"prompt_tokens": 108, "total_tokens": 313, "completion_tokens": 205, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303446.404, "t1": 1793303474.898, "s": 28.49} +{"seq": 52, "idx": 46, "ok": true, "gold": "163", "reply": "To find the number of Post-it notes in the package, we can set up an equation based on the information provided.\n\n1. **Identify the initial amount:** Candice started with 80 Post-it notes.\n2. **Identify the amount added:** Let $x$ be the number of Post-it notes in the package she purchased.\n3. **Identify the amount used:** She used 220 Post-it notes (one on each of the 220 cups).\n4. **Identify the remaining amount:** She had 23 Post-it notes left.\n\nWe can represent the total number of Post-it notes she had throughout the day with the following equation:\n(Initial amount) + (Amount purchased) - (Amount used) = (Remaining amount)\n\nPlugging in the values:\n$80 + x - 220 = 23$\n\nNow, solve for $x$:\nFirst, combine the constants on the left side:\n$x - 140 = 23$\n\nNext, add 140 to both sides of the equation to isolate $x$:\n$x = 23 + 140$\n$x = 163$\n\n**Verification:**\nInitial: 80\nPurchased: 163\nTotal available: $80 + 163 = 243$\nUsed: 220\nRemaining: $243 - 220 = 23$\nThe calculation is correct.\n\nAnswer: 163", "usage": {"prompt_tokens": 127, "total_tokens": 467, "completion_tokens": 340, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303427.895, "t1": 1793303475.519, "s": 47.62} +{"seq": 53, "idx": 47, "ok": true, "gold": "800", "reply": "To solve the problem, we need to determine the total amount John spent on all ties.\n\n**1. Determine the number of blue ties:**\nJohn spent $200 on blue ties, and each blue tie costs $40.\nNumber of blue ties = Total cost of blue ties / Cost per blue tie\nNumber of blue ties = $200 / $40 = 5 blue ties.\n\n**2. Determine the number of red ties:**\nJohn buys twice as many red ties as blue ties.\nNumber of red ties = 2 \u00d7 Number of blue ties\nNumber of red ties = 2 \u00d7 5 = 10 red ties.\n\n**3. Determine the cost of one red tie:**\nThe red ties cost 50% more than blue ties.\nCost per red tie = Cost per blue tie + (50% of Cost per blue tie)\nCost per red tie = $40 + (0.50 \u00d7 $40)\nCost per red tie = $40 + $20 = $60.\n\n**4. Determine the total cost of the red ties:**\nTotal cost of red ties = Number of red ties \u00d7 Cost per red tie\nTotal cost of red ties = 10 \u00d7 $60 = $600.\n\n**5. Determine the total amount spent on all ties:**\nTotal spent = Total cost of blue ties + Total cost of red ties\nTotal spent = $200 + $600 = $800.\n\nAnswer: 800", "usage": {"prompt_tokens": 79, "total_tokens": 407, "completion_tokens": 328, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303431.897, "t1": 1793303477.818, "s": 45.92} +{"seq": 54, "idx": 59, "ok": true, "gold": "187", "reply": "To find the total number of raspberries, we need to calculate the number of raspberries in the clusters and then add the individual fruit.\n\n1. **Calculate the raspberries in the clusters:**\n There are 6 clusters, and each cluster contains 20 fruit.\n $6 \\times 20 = 120$ raspberries.\n\n2. **Add the individual fruit:**\n There are 67 individual fruit scattered across the bush.\n $120 + 67 = 187$ raspberries.\n\nTotal raspberries = 187.\n\nAnswer: 187", "usage": {"prompt_tokens": 60, "total_tokens": 191, "completion_tokens": 131, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303460.911, "t1": 1793303479.336, "s": 18.42} +{"seq": 55, "idx": 43, "ok": true, "gold": "48", "reply": "To find out how many grams of chips you can eat, follow these steps:\n\n1. **Calculate the remaining calorie budget:**\n Daily target = 2000 calories\n Calories already consumed = 1800 calories\n Remaining calories = $2000 - 1800 = 200$ calories.\n\n2. **Calculate the calories per gram of chips:**\n A bag has 300g and contains 5 servings.\n Calories per serving = 250 calories.\n Total calories in the bag = $5 \\text{ servings} \\times 250 \\text{ calories/serving} = 1250$ calories.\n Calories per gram = $\\frac{1250 \\text{ calories}}{300 \\text{ grams}} = \\frac{125}{30} = \\frac{25}{6}$ calories per gram.\n\n3. **Calculate the number of grams allowed within the remaining budget:**\n Remaining calories = 200 calories.\n Grams allowed = $\\frac{\\text{Remaining calories}}{\\text{Calories per gram}}$\n Grams allowed = $\\frac{200}{25/6}$\n Grams allowed = $200 \\times \\frac{6}{25}$\n Grams allowed = $8 \\times 6 = 48$ grams.\n\nAlternatively, you can find the calories per gram by finding the calories per serving and the grams per serving:\nGrams per serving = $300\\text{g} / 5 = 60\\text{g}$.\nCalories per gram = $250\\text{ calories} / 60\\text{g} = 25/6$ calories per gram.\nGrams for 200 calories = $200 / (25/6) = 48\\text{g}$.\n\nAnswer: 48", "usage": {"prompt_tokens": 90, "total_tokens": 516, "completion_tokens": 426, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303422.391, "t1": 1793303482.143, "s": 59.75} +{"seq": 56, "idx": 39, "ok": true, "gold": "18", "reply": "To find the total distance Dana travels, we first need to determine her speeds for running, walking, and skipping.\n\n1. **Determine the speeds:**\n * Let $S_{skip}$ be the speed at which she skips. We are given $S_{skip} = 3$ mph.\n * Let $S_{run}$ be the speed at which she runs. We are told she skips at half the speed she runs:\n $S_{skip} = \\frac{1}{2} S_{run} \\implies 3 = \\frac{1}{2} S_{run} \\implies S_{run} = 6$ mph.\n * Let $S_{walk}$ be the speed at which she walks. We are told she runs four times faster than she walks:\n $S_{run} = 4 \\times S_{walk} \\implies 6 = 4 \\times S_{walk} \\implies S_{walk} = \\frac{6}{4} = 1.5$ mph.\n\n2. **Determine the time spent on each activity:**\n * Total time $T = 6$ hours.\n * Time spent running ($T_{run}$) is one-third of the total time:\n $T_{run} = \\frac{1}{3} \\times 6 = 2$ hours.\n * Time spent walking ($T_{walk}$) is two-thirds of the total time:\n $T_{walk} = \\frac{2}{3} \\times 6 = 4$ hours.\n\n3. **Calculate the distance traveled for each activity:**\n * Distance running ($D_{run}$) = $S_{run} \\times T_{run} = 6 \\text{ mph} \\times 2 \\text{ hours} = 12$ miles.\n * Distance walking ($D_{walk}$) = $S_{walk} \\times T_{walk} = 1.5 \\text{ mph} \\times 4 \\text{ hours} = 6$ miles.\n\n4. **Calculate the total distance:**\n * Total distance $D_{total} = D_{run} + D_{walk} = 12 + 6 = 18$ miles.\n\nAnswer: 18", "usage": {"prompt_tokens": 103, "total_tokens": 604, "completion_tokens": 501, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303412.388, "t1": 1793303482.872, "s": 70.48} +{"seq": 57, "idx": 52, "ok": true, "gold": "15", "reply": "To find out how many toys Uriah needs to remove, we can follow these steps:\n\n1. **Calculate the total weight removed by the comic books:**\n Uriah removes 30 comic books, and each comic book weighs $\\frac{1}{4}$ pound.\n $$\\text{Weight of comic books} = 30 \\times \\frac{1}{4} = \\frac{30}{4} = 7.5 \\text{ pounds}$$\n\n2. **Calculate the remaining weight that needs to be removed:**\n The total weight he needs to remove is 15 pounds. We subtract the weight of the comic books from the total weight.\n $$\\text{Remaining weight needed} = 15 - 7.5 = 7.5 \\text{ pounds}$$\n\n3. **Calculate the number of toys needed to reach the remaining weight:**\n Each toy weighs $\\frac{1}{2}$ pound. We divide the remaining weight needed by the weight of one toy.\n $$\\text{Number of toys} = \\frac{7.5}{\\frac{1}{2}}$$\n Dividing by a fraction is the same as multiplying by its reciprocal:\n $$\\text{Number of toys} = 7.5 \\times 2 = 15$$\n\nUriah needs to remove 15 toys.\n\nAnswer: 15", "usage": {"prompt_tokens": 92, "total_tokens": 387, "completion_tokens": 295, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303441.902, "t1": 1793303483.39, "s": 41.49} +{"seq": 58, "idx": 53, "ok": true, "gold": "40", "reply": "To find the difference in revenue between the two days, we need to calculate the total revenue for Thursday and Friday separately.\n\n**1. Calculate Thursday's revenue:**\nOn Thursday, the mechanic repairs 6 truck tires and 4 car tires.\n- Revenue from truck tires: $6 \\text{ tires} \\times \\$60/\\text{tire} = \\$360$\n- Revenue from car tires: $4 \\text{ tires} \\times \\$40/\\text{tire} = \\$160$\n- Total revenue for Thursday: $\\$360 + \\$160 = \\$520$\n\n**2. Calculate Friday's revenue:**\nOn Friday, the mechanic repairs 12 car tires and 0 truck tires.\n- Revenue from car tires: $12 \\text{ tires} \\times \\$40/\\text{tire} = \\$480$\n- Revenue from truck tires: $0 \\text{ tires} \\times \\$60/\\text{tire} = \\$0$\n- Total revenue for Friday: $\\$480 + \\$0 = \\$480$\n\n**3. Calculate the difference:**\nThe day with the higher revenue is Thursday ($520).\n- Difference: $\\$520 - \\$480 = \\$40$\n\nThe mechanic earned $40 more on the day with higher revenue.\n\nAnswer: 40", "usage": {"prompt_tokens": 130, "total_tokens": 432, "completion_tokens": 302, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303442.903, "t1": 1793303485.332, "s": 42.43} +{"seq": 59, "idx": 61, "ok": true, "gold": "1430", "reply": "To find the total amount Janet paid, we need to calculate the cost of the materials, the construction, and the insurance.\n\n1. **Cost of materials:** $500\n2. **Cost of construction:** $800\n3. **Subtotal (Materials + Construction):**\n $500 + $800 = $1,300\n\n4. **Cost of insurance:**\n The problem states she pays 10% of \"that\" (the subtotal) to get it insured.\n 10% of $1,300 = 0.10 * $1,300 = $130\n\n5. **Total amount paid:**\n Total = Subtotal + Insurance\n Total = $1,300 + $130 = $1,430\n\nAnswer: 1430", "usage": {"prompt_tokens": 88, "total_tokens": 282, "completion_tokens": 194, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303465.914, "t1": 1793303492.972, "s": 27.06} +{"seq": 60, "idx": 60, "ok": true, "gold": "17", "reply": "To find the number of good oranges, we need to subtract all the \"not good\" oranges from the total number of oranges.\n\n1. **Total number of oranges:** 25\n\n2. **Identify the categories of oranges that are not \"good\":**\n * **Bad oranges:** 1\n * **Unripe oranges:** 20% of the total.\n Calculation: $20\\% \\text{ of } 25 = 0.20 \\times 25 = 5$\n * **Sour oranges:** 2\n\n3. **Calculate the total number of oranges that are not good:**\n Total non-good = (Bad) + (Unripe) + (Sour)\n Total non-good = $1 + 5 + 2 = 8$\n\n4. **Calculate the number of good oranges:**\n Good oranges = Total oranges - Total non-good\n Good oranges = $25 - 8 = 17$\n\nAnswer: 17", "usage": {"prompt_tokens": 66, "total_tokens": 291, "completion_tokens": 225, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303463.913, "t1": 1793303495.202, "s": 31.29} +{"seq": 61, "idx": 58, "ok": true, "gold": "57", "reply": "To find the final price Stephen paid, we need to calculate each additional cost based on the initial grocery bill and then sum them up.\n\n1. **Initial Grocery Bill:** $40.00\n2. **Vendor Fee:** The vendor adds a 25% fee to the final total of the groceries.\n Calculation: $40.00 \\times 0.25 = \\$10.00$\n3. **Delivery Fee:** This is a flat charge.\n Amount: $3.00\n4. **Tip:** Stephen added a tip.\n Amount: $4.00\n\nNow, we sum the initial bill and all the additional charges:\nFinal Price = (Initial Bill) + (Vendor Fee) + (Delivery Fee) + (Tip)\nFinal Price = $\\$40.00 + \\$10.00 + \\$3.00 + \\$4.00$\n\nStep-by-step addition:\n$40 + 10 = 50$\n$50 + 3 = 53$\n$53 + 4 = 57$\n\nThe final price Stephen paid is $57.00.\n\nAnswer: 57.00", "usage": {"prompt_tokens": 113, "total_tokens": 384, "completion_tokens": 271, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303460.41, "t1": 1793303498.305, "s": 37.89} +{"seq": 62, "idx": 71, "ok": true, "gold": "60", "reply": "To find the total number of instructions Kelian has to read, we follow these steps:\n\n1. **Identify the number of instructions in the first recipe:**\n The first recipe has 20 instructions.\n\n2. **Calculate the number of instructions in the second recipe:**\n The second recipe has twice as many instructions as the first one.\n $20 \\times 2 = 40$ instructions.\n\n3. **Calculate the total number of instructions for both dishes:**\n Add the instructions from the first recipe to the instructions from the second recipe.\n $20 + 40 = 60$ instructions.\n\nAnswer: 60", "usage": {"prompt_tokens": 73, "total_tokens": 218, "completion_tokens": 145, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303482.923, "t1": 1793303502.878, "s": 19.96} +{"seq": 63, "idx": 69, "ok": true, "gold": "60", "reply": "To find out how much money Bailey started with, we can follow these steps:\n\n1. **Calculate the total amount of allowance received:**\n Bailey receives $5 per week for 8 weeks.\n Total allowance = $5/week \u00d7 8 weeks = $40.\n\n2. **Set up an equation to find the starting amount:**\n Let $x$ be the amount of money Bailey started with.\n The total amount she has at the end is the starting amount plus the total allowance.\n $x + 40 = 100$\n\n3. **Solve for $x$:**\n Subtract 40 from both sides of the equation:\n $x = 100 - 40$\n $x = 60$\n\nBailey started with $60.\n\nAnswer: 60", "usage": {"prompt_tokens": 80, "total_tokens": 265, "completion_tokens": 185, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303479.421, "t1": 1793303504.97, "s": 25.55} +{"seq": 64, "idx": 68, "ok": true, "gold": "36", "reply": "To find the number of teachers, we first need to determine the total number of students at the school.\n\n1. **Find the number of boys:**\n The problem states there are twice as many boys as girls.\n Number of girls = 60\n Number of boys = 2 \u00d7 60 = 120\n\n2. **Find the total number of students:**\n Total students = Number of girls + Number of boys\n Total students = 60 + 120 = 180\n\n3. **Find the number of teachers:**\n The problem states there are 5 students for every teacher. This means the ratio of students to teachers is 5:1.\n Number of teachers = Total students \u00f7 5\n Number of teachers = 180 \u00f7 5\n\n Calculation:\n 180 / 5 = 36\n\nThere are 36 teachers.\n\nAnswer: 36", "usage": {"prompt_tokens": 67, "total_tokens": 275, "completion_tokens": 208, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303477.92, "t1": 1793303506.735, "s": 28.82} +{"seq": 65, "idx": 63, "ok": true, "gold": "1596", "reply": "To calculate the total amount Aleena paid for the streaming service for the year, we break the year into two halves: the first six months and the last six months.\n\n**1. Calculate the cost for the first half of the year:**\nThe monthly charge is $140.\nThere are 6 months in the first half of the year.\nCost for the first half = $140 \\times 6 = \\$840$.\n\n**2. Calculate the monthly charge for the second half of the year:**\nThe company charges 10% less than the initial amount.\nReduction amount = 10% of $140 = 0.10 \\times 140 = \\$14$.\nNew monthly charge = $140 - 14 = \\$126$.\n\n**3. Calculate the cost for the second half of the year:**\nThere are 6 months in the second half of the year.\nCost for the second half = $126 \\times 6 = \\$756$.\n\n**4. Calculate the total amount paid for the year:**\nTotal amount = Cost for the first half + Cost for the second half\nTotal amount = $\\$840 + \\$756 = \\$1596$.\n\nAnswer: 1596", "usage": {"prompt_tokens": 98, "total_tokens": 378, "completion_tokens": 280, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303467.915, "t1": 1793303506.863, "s": 38.95} +{"seq": 66, "idx": 62, "ok": true, "gold": "25000", "reply": "To find Marcy's annual pension if she quits after 30 years, we need to calculate the value based on the rules provided.\n\n1. **Identify the full pension value:**\n If Marcy works for 40 years, her annual pension is $50,000.\n\n2. **Determine the entitlement rule:**\n Starting after 20 years, she becomes entitled to 5% of the value of the pension per year of service beyond the 20-year mark.\n\n3. **Calculate the years of service beyond 20 years:**\n Marcy quits after 30 years.\n Years of service beyond 20 years = $30 - 20 = 10$ years.\n\n4. **Calculate the percentage of the pension she is entitled to:**\n She gets 5% per year for each year after the 20th year.\n Total percentage = $10 \\text{ years} \\times 5\\%/\\text{year} = 50\\%$.\n\n5. **Calculate the annual pension amount:**\n The pension is 50% of the full pension value ($50,000).\n Annual pension = $0.50 \\times \\$50,000 = \\$25,000$.\n\nAnswer: 25000", "usage": {"prompt_tokens": 97, "total_tokens": 392, "completion_tokens": 295, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303465.914, "t1": 1793303506.992, "s": 41.08} +{"seq": 67, "idx": 65, "ok": true, "gold": "36", "reply": "To find the total number of hours Jim spends on TV and reading in 4 weeks, we can follow these steps:\n\n1. **Calculate the time spent on TV and reading per session:**\n * Time spent watching TV = 2 hours.\n * Time spent reading = half of the TV time = $2 \\text{ hours} \\div 2 = 1 \\text{ hour}$.\n * Total time per session = $2 \\text{ hours (TV)} + 1 \\text{ hour (reading)} = 3 \\text{ hours}$.\n\n2. **Calculate the time spent per week:**\n * He does this 3 times a week.\n * Total time per week = $3 \\text{ sessions} \\times 3 \\text{ hours/session} = 9 \\text{ hours}$.\n\n3. **Calculate the total time for 4 weeks:**\n * Total time in 4 weeks = $4 \\text{ weeks} \\times 9 \\text{ hours/week} = 36 \\text{ hours}$.\n\nAnswer: 36", "usage": {"prompt_tokens": 76, "total_tokens": 317, "completion_tokens": 241, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303474.418, "t1": 1793303508.212, "s": 33.79} +{"seq": 68, "idx": 64, "ok": true, "gold": "300", "reply": "To find out how many miles Sophia can drive on a single tank of gas, we first need to determine the car's fuel efficiency in miles per gallon (mpg).\n\n1. **Calculate the fuel efficiency (mpg):**\n Sophia traveled 100 miles using 4 gallons of gas.\n $$\\text{Fuel Efficiency} = \\frac{\\text{Miles Traveled}}{\\text{Gallons Used}}$$\n $$\\text{Fuel Efficiency} = \\frac{100 \\text{ miles}}{4 \\text{ gallons}} = 25 \\text{ miles per gallon (mpg)}$$\n\n2. **Calculate the total distance for a full tank:**\n The owner's manual states the tank holds 12 gallons of gas. To find the total distance she can drive on a full tank, multiply the tank capacity by the fuel efficiency.\n $$\\text{Total Distance} = \\text{Tank Capacity} \\times \\text{Fuel Efficiency}$$\n $$\\text{Total Distance} = 12 \\text{ gallons} \\times 25 \\text{ mpg}$$\n\n3. **Perform the multiplication:**\n $$12 \\times 25 = 300$$\n\nSophia can drive 300 miles on a single tank of gas.\n\nAnswer: 300", "usage": {"prompt_tokens": 122, "total_tokens": 402, "completion_tokens": 280, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303470.916, "t1": 1793303510.131, "s": 39.21} +{"seq": 69, "idx": 66, "ok": true, "gold": "48", "reply": "To find the total number of people sent by all the schools, we can break down the number of people sent by a single school and then multiply by the total number of schools.\n\n1. **Calculate the number of people sent by one school:**\n * **Girls' basketball team:** 5 players + 1 coach = 6 people.\n * **Boys' basketball team:** 5 players + 1 coach = 6 people.\n * **Total per school:** 6 (girls' team) + 6 (boys' team) = 12 people.\n\n2. **Calculate the total number of people for all four schools:**\n * There are 4 schools.\n * Total people = 4 schools \u00d7 12 people per school = 48 people.\n\nAlternatively, we can count the total number of players and coaches separately:\n* **Total players:** 4 schools \u00d7 2 teams per school \u00d7 5 players per team = 40 players.\n* **Total coaches:** 4 schools \u00d7 2 teams per school \u00d7 1 coach per team = 8 coaches.\n* **Total people:** 40 + 8 = 48 people.\n\nAnswer: 48", "usage": {"prompt_tokens": 87, "total_tokens": 357, "completion_tokens": 270, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303474.918, "t1": 1793303512.548, "s": 37.63} +{"seq": 70, "idx": 67, "ok": true, "gold": "595", "reply": "To find the total number of gems in the chest, we need to calculate the number of each type of gem and then sum them up.\n\n1. **Diamonds:**\n The problem states there are **175** diamonds.\n\n2. **Rubies:**\n There are 35 fewer rubies than diamonds.\n Number of rubies = $175 - 35 = 140$.\n\n3. **Emeralds:**\n There are twice the number of emeralds as there are rubies.\n Number of emeralds = $140 \\times 2 = 280$.\n\n4. **Total Gems:**\n To find the total, add the number of diamonds, rubies, and emeralds together:\n Total = $175 \\text{ (diamonds)} + 140 \\text{ (rubies)} + 280 \\text{ (emeralds)}$\n\n Calculation:\n $175 + 140 = 315$\n $315 + 280 = 595$\n\nThe total number of gems in the chest is 595.\n\nAnswer: 595", "usage": {"prompt_tokens": 82, "total_tokens": 347, "completion_tokens": 265, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303475.919, "t1": 1793303512.801, "s": 36.88} +{"seq": 71, "idx": 72, "ok": true, "gold": "221", "reply": "To find the total amount of money Tommy raises, we need to calculate the revenue from the brownies and the revenue from the cheesecakes separately, and then add them together.\n\n1. **Calculate the money from brownies:**\n Tommy sells 43 brownies at $3 each.\n $43 \\times 3 = 129$\n So, he raises $129 from brownies.\n\n2. **Calculate the money from cheesecakes:**\n Tommy sells 23 slices of cheesecake at $4 each.\n $23 \\times 4 = 92$\n So, he raises $92 from cheesecakes.\n\n3. **Calculate the total amount raised:**\n Total = (Money from brownies) + (Money from cheesecakes)\n Total = $129 + $92\n $129 + 92 = 221$\n\nTommy raises a total of $221.\n\nAnswer: 221", "usage": {"prompt_tokens": 75, "total_tokens": 293, "completion_tokens": 218, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303483.424, "t1": 1793303513.737, "s": 30.31} +{"seq": 72, "idx": 57, "ok": true, "gold": "83", "reply": "To find the maximum number of boxes that can be loaded onto the truck, we need to determine how much weight capacity is left for the boxes after accounting for the weight of the truck and the driver.\n\n1. **Identify the total weight limit of the bridge:**\n The bridge can carry a maximum of 5000 pounds.\n\n2. **Identify the weight of the truck and the driver:**\n The combined weight of the driver and the empty truck is 3755 pounds.\n\n3. **Calculate the remaining weight capacity available for the boxes:**\n Subtract the weight of the truck and driver from the total weight limit:\n $5000 - 3755 = 1245$ pounds.\n\n4. **Determine the weight of each box:**\n Each box weighs 15 pounds.\n\n5. **Calculate the maximum number of boxes:**\n Divide the remaining weight capacity by the weight of one box:\n $1245 \\div 15$\n\n Performing the division:\n $1245 / 15 = ?$\n $15 \\times 80 = 1200$\n $1245 - 1200 = 45$\n $15 \\times 3 = 45$\n So, $80 + 3 = 83$.\n\n6. **Verify the result:**\n If there are 83 boxes:\n $83 \\times 15 = 1245$\n $1245 + 3755 = 5000$\n Since 5000 does not exceed the limit (it is exactly the limit), 83 is the maximum number of boxes.\n\nAnswer: 83", "usage": {"prompt_tokens": 107, "total_tokens": 502, "completion_tokens": 395, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303458.409, "t1": 1793303513.738, "s": 55.33} +{"seq": 73, "idx": 73, "ok": true, "gold": "255", "reply": "To find out how much Shiela will pay each month, we follow these steps:\n\n1. **Calculate the total cost of the cell phones without interest:**\n Shiela bought 5 cell phones at $150 each.\n Total Principal = $5 \\times 150 = \\$750$\n\n2. **Calculate the total interest charged:**\n A 2% interest is charged on each unit (or on the total amount, as the result is the same).\n Total Interest = $750 \\times 0.02 = \\$15$\n\n3. **Calculate the total amount to be paid (Principal + Interest):**\n Total Amount = $\\$750 + \\$15 = \\$765$\n\n4. **Calculate the monthly installment:**\n The total amount is to be paid over 3 months.\n Monthly Payment = $\\frac{\\$765}{3} = \\$255$\n\n**Alternative method (calculating per unit first):**\n1. Cost per unit = $150\n2. Interest per unit = $150 \\times 0.02 = $3\n3. Total cost per unit = $150 + $3 = $153\n4. Total cost for 5 units = $153 \\times 5 = $765\n5. Monthly payment = $765 / 3 = $255\n\nAnswer: 255", "usage": {"prompt_tokens": 74, "total_tokens": 394, "completion_tokens": 320, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303485.425, "t1": 1793303529.13, "s": 43.7} +{"seq": 74, "idx": 70, "ok": true, "gold": "7425", "reply": "To find out how much money Judy makes in one week, we need to calculate the total number of classes she teaches and then multiply that by the number of students and the price per student.\n\n**1. Calculate the number of classes per week:**\n* **Weekdays:** There are 5 weekdays (Monday through Friday). She teaches 5 classes each day.\n $5 \\text{ days} \\times 5 \\text{ classes/day} = 25 \\text{ classes}$\n* **Saturday:** She teaches 8 classes.\n $8 \\text{ classes}$\n* **Total classes per week:**\n $25 + 8 = 33 \\text{ classes}$\n\n**2. Calculate the total number of students per week:**\nEach class has 15 students.\n$33 \\text{ classes} \\times 15 \\text{ students/class} = 495 \\text{ students}$\n\n**3. Calculate the total money made per week:**\nShe charges $15.00 per student.\n$495 \\text{ students} \\times \\$15.00/\\text{student} = \\$7,425$\n\n**Alternative calculation method:**\nCalculate the revenue per class first:\n$15 \\text{ students} \\times \\$15.00 = \\$225 \\text{ per class}$\nThen multiply by the total number of classes:\n$33 \\text{ classes} \\times \\$225 = \\$7,425$\n\nAnswer: 7425", "usage": {"prompt_tokens": 81, "total_tokens": 424, "completion_tokens": 343, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303482.422, "t1": 1793303529.515, "s": 47.09} +{"seq": 75, "idx": 79, "ok": true, "gold": "70", "reply": "To find the cost of the grooming, follow these steps:\n\n1. **Identify the original cost:** The original cost of the grooming is $100.\n2. **Calculate the discount amount:** The discount is 30% of the original cost.\n $$\\text{Discount} = 0.30 \\times \\$100 = \\$30$$\n3. **Subtract the discount from the original cost:**\n $$\\text{Final Cost} = \\$100 - \\$30 = \\$70$$\n\nAlternatively, if there is a 30% discount, John pays 70% of the original price:\n$$\\text{Final Cost} = 0.70 \\times \\$100 = \\$70$$\n\nAnswer: 70", "usage": {"prompt_tokens": 77, "total_tokens": 247, "completion_tokens": 170, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303506.933, "t1": 1793303530.223, "s": 23.29} +{"seq": 76, "idx": 83, "ok": true, "gold": "600", "reply": "To find the total number of thorns, we need to multiply the number of rose bushes, the number of roses per bush, and the number of thorns per rose.\n\n1. **Find the total number of roses:**\n There are 3 rose bushes, and each bush has 25 roses.\n $3 \\times 25 = 75$ roses.\n\n2. **Find the total number of thorns:**\n There are 75 roses, and each rose has 8 thorns.\n $75 \\times 8 = 600$ thorns.\n\nAlternatively, you can multiply them all at once:\n$3 \\times 25 \\times 8 = 75 \\times 8 = 600$.\n\nAnswer: 600", "usage": {"prompt_tokens": 59, "total_tokens": 229, "completion_tokens": 170, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303510.437, "t1": 1793303533.536, "s": 23.1} +{"seq": 77, "idx": 81, "ok": true, "gold": "17", "reply": "To find out how many stickers Charlie has left, we can follow the steps of his sticker transactions:\n\n1. **Initial amount:** Charlie starts with **10** stickers.\n2. **Buying stickers:** He buys **21** stickers.\n $10 + 21 = 31$ stickers.\n3. **Birthday stickers:** He gets **23** stickers for his birthday.\n $31 + 23 = 54$ stickers.\n4. **Giving stickers away:** He gives **9** stickers to his sister.\n $54 - 9 = 45$ stickers.\n5. **Using stickers for a card:** He uses **28** stickers to decorate a card.\n $45 - 28 = 17$ stickers.\n\nCharlie has 17 stickers left.\n\nAnswer: 17", "usage": {"prompt_tokens": 88, "total_tokens": 281, "completion_tokens": 193, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303507.434, "t1": 1793303533.8, "s": 26.37} +{"seq": 78, "idx": 82, "ok": true, "gold": "623", "reply": "To find the combined weights of Grace and Alex, we follow these steps:\n\n1. **Identify Grace's weight:**\n Grace weighs 125 pounds.\n\n2. **Calculate Alex's weight:**\n The problem states Alex weighs \"2 pounds less than 4 times what Grace weighs.\"\n First, find 4 times Grace's weight:\n $4 \\times 125 = 500$ pounds.\n Next, subtract 2 pounds from that amount:\n $500 - 2 = 498$ pounds.\n So, Alex weighs 498 pounds.\n\n3. **Calculate their combined weight:**\n Add Grace's weight and Alex's weight together:\n $125 + 498 = 623$ pounds.\n\nAnswer: 623", "usage": {"prompt_tokens": 59, "total_tokens": 248, "completion_tokens": 189, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303508.435, "t1": 1793303534.057, "s": 25.62} +{"seq": 79, "idx": 86, "ok": true, "gold": "22", "reply": "To find the total number of times the alarm rang, we calculate the duration of each of the three instances:\n\n1. **First time:** The problem states the alarm rang **4** times.\n2. **Second time:** The alarm rang for three times as long as the first time.\n $4 \\times 3 = 12$ times.\n3. **Third time:** The alarm rang for half as long as the second time.\n $12 \\div 2 = 6$ times.\n\nTo find the total number of times the alarm rang in all, we add the three instances together:\n$4 + 12 + 6 = 22$\n\nAnswer: 22", "usage": {"prompt_tokens": 117, "total_tokens": 272, "completion_tokens": 155, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303513.939, "t1": 1793303535.112, "s": 21.17} +{"seq": 80, "idx": 77, "ok": true, "gold": "100", "reply": "To find the difference in the amount of laundry Raymond and David do, we first need to determine how much laundry each person does based on the information provided.\n\n1. **Identify Sarah's amount:**\n Sarah does 400 pounds of laundry.\n\n2. **Calculate Raymond's amount:**\n Raymond does half as much as Sarah.\n Raymond = $\\frac{1}{2} \\times \\text{Sarah}$\n Raymond = $\\frac{1}{2} \\times 400 = 200$ pounds.\n\n3. **Calculate David's amount:**\n Sarah does 4 times as much as David. This means David does $\\frac{1}{4}$ as much as Sarah.\n David = $\\frac{1}{4} \\times \\text{Sarah}$\n David = $\\frac{1}{4} \\times 400 = 100$ pounds.\n\n4. **Calculate the difference between Raymond and David:**\n Difference = Raymond - David\n Difference = $200 - 100 = 100$ pounds.\n\nAnswer: 100", "usage": {"prompt_tokens": 74, "total_tokens": 323, "completion_tokens": 249, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303502.931, "t1": 1793303537.531, "s": 34.6} +{"seq": 81, "idx": 74, "ok": true, "gold": "88", "reply": "To find out how much Artie will make, we first need to round each flower's price to the nearest dollar as per his decision.\n\n1. **Round the prices:**\n * Marigolds: $2.74 rounds to **$3.00** (since 0.74 is $\\ge$ 0.50).\n * Petunias: $1.87 rounds to **$2.00** (since 0.87 is $\\ge$ 0.50).\n * Begonias: $2.12 rounds to **$2.00** (since 0.12 is < 0.50).\n\n2. **Calculate the total for each type of flower based on the rounded prices:**\n * Marigolds: 12 pots $\\times$ $3.00 = $36.00\n * Petunias: 9 pots $\\times$ $2.00 = $18.00\n * Begonias: 17 pots $\\times$ $2.00 = $34.00\n\n3. **Calculate the total amount made:**\n * Total = $36.00 + $18.00 + $34.00\n * Total = $54.00 + $34.00\n * Total = $88.00\n\nAnswer: 88", "usage": {"prompt_tokens": 152, "total_tokens": 479, "completion_tokens": 327, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303493.427, "t1": 1793303538.795, "s": 45.37} +{"seq": 82, "idx": 75, "ok": true, "gold": "60", "reply": "To find the average square footage of a level in the 4-leveled sandcastle, we first need to determine the square footage of each level.\n\n1. **Identify the levels:** We are told the sandcastle has 4 levels.\n2. **Determine the square footage of each level:**\n * The top level (Level 1) has a square footage of $16$.\n * Each level has half the square footage of the level below it. This means the level below a given level is twice the size of that level.\n * Level 1 (Top): $16$\n * Level 2: $16 \\times 2 = 32$\n * Level 3: $32 \\times 2 = 64$\n * Level 4 (Bottom): $64 \\times 2 = 128$\n\n3. **Calculate the total square footage:**\n Total = $16 + 32 + 64 + 128$\n Total = $48 + 64 + 128$\n Total = $112 + 128$\n Total = $240$\n\n4. **Calculate the average square footage:**\n The average is the total square footage divided by the number of levels.\n Average = $\\frac{\\text{Total Square Footage}}{\\text{Number of Levels}}$\n Average = $\\frac{240}{4}$\n Average = $60$\n\nAnswer: 60", "usage": {"prompt_tokens": 95, "total_tokens": 436, "completion_tokens": 341, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303495.429, "t1": 1793303542.544, "s": 47.12} +{"seq": 83, "idx": 78, "ok": true, "gold": "6", "reply": "To find out how much Vincent saves, we first need to calculate the cost of 18 flowers using each pricing option.\n\n**Option 1: Packages of 3 for $2.50**\n1. Determine how many packages of 3 are needed for 18 flowers:\n $18 \\div 3 = 6$ packages.\n2. Calculate the total cost for 6 packages:\n $6 \\times \\$2.50 = \\$15.00$.\n\n**Option 2: Packages of 2 for $1.00**\n1. Determine how many packages of 2 are needed for 18 flowers:\n $18 \\div 2 = 9$ packages.\n2. Calculate the total cost for 9 packages:\n $9 \\times \\$1.00 = \\$9.00$.\n\n**Comparison and Savings**\n1. Compare the two costs:\n Option 1 costs $15.00.\n Option 2 costs $9.00.\n2. The better price is Option 2 ($9.00).\n3. Calculate the savings:\n $\\$15.00 - \\$9.00 = \\$6.00$.\n\nVincent saves $6.00 by choosing the better price.\n\nAnswer: 6", "usage": {"prompt_tokens": 71, "total_tokens": 360, "completion_tokens": 289, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303505.432, "t1": 1793303545.453, "s": 40.02} +{"seq": 84, "idx": 80, "ok": true, "gold": "10", "reply": "To find out how many liters of water were left, we follow these steps:\n\n1. **Calculate how much water each girl received:**\n Each girl got $\\frac{1}{6}$ of the 24 liters.\n $\\text{Water per girl} = \\frac{1}{6} \\times 24 = 4 \\text{ liters}$.\n\n2. **Calculate the total amount of water given to both girls:**\n Since there are two girls:\n $\\text{Total for girls} = 4 \\text{ liters} \\times 2 = 8 \\text{ liters}$.\n\n3. **Calculate the total amount of water given to the boy:**\n The boy received 6 liters.\n\n4. **Calculate the total amount of water distributed:**\n $\\text{Total distributed} = \\text{Total for girls} + \\text{Total for boy}$\n $\\text{Total distributed} = 8 \\text{ liters} + 6 \\text{ liters} = 14 \\text{ liters}$.\n\n5. **Calculate the amount of water left:**\n Subtract the total distributed amount from the original amount.\n $\\text{Water left} = 24 \\text{ liters} - 14 \\text{ liters} = 10 \\text{ liters}$.\n\nAnswer: 10", "usage": {"prompt_tokens": 64, "total_tokens": 356, "completion_tokens": 292, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303506.934, "t1": 1793303547.332, "s": 40.4} +{"seq": 85, "idx": 76, "ok": true, "gold": "5", "reply": "To find the total number of bags of dog food Cecilia will use in the first year, we need to calculate the total number of cups consumed during that period.\n\n1. **Identify the number of days in the first year:**\n A standard year has 365 days.\n\n2. **Calculate the food consumed in the first 180 days:**\n For the first 180 days, the puppy eats 1 cup per day.\n $180 \\text{ days} \\times 1 \\text{ cup/day} = 180 \\text{ cups}$\n\n3. **Calculate the food consumed for the remainder of the year:**\n The number of days remaining in the year is:\n $365 \\text{ days} - 180 \\text{ days} = 185 \\text{ days}$\n For these days, the puppy eats 2 cups per day.\n $185 \\text{ days} \\times 2 \\text{ cups/day} = 370 \\text{ cups}$\n\n4. **Calculate the total number of cups consumed in the first year:**\n $\\text{Total cups} = 180 \\text{ cups} + 370 \\text{ cups} = 550 \\text{ cups}$\n\n5. **Calculate the number of bags needed:**\n Each bag contains 110 cups.\n $\\text{Number of bags} = \\frac{550 \\text{ cups}}{110 \\text{ cups/bag}} = 5 \\text{ bags}$\n\nAnswer: 5", "usage": {"prompt_tokens": 114, "total_tokens": 472, "completion_tokens": 358, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303498.43, "t1": 1793303548.146, "s": 49.72} +{"seq": 86, "idx": 84, "ok": true, "gold": "15", "reply": "To find the number of games the team won, we can set up a system of linear equations based on the information provided.\n\nLet $W$ be the number of games won.\nLet $L$ be the number of games lost.\n\nWe are given two pieces of information:\n1. The total number of games played is 22:\n $W + L = 22$\n2. They won 8 more games than they lost:\n $W = L + 8$\n\nNow, we can substitute the second equation into the first equation to solve for $L$:\n$(L + 8) + L = 22$\n$2L + 8 = 22$\n\nSubtract 8 from both sides:\n$2L = 22 - 8$\n$2L = 14$\n\nDivide by 2:\n$L = 7$\n\nNow that we know the number of games lost is 7, we can find the number of games won using the second equation:\n$W = L + 8$\n$W = 7 + 8$\n$W = 15$\n\n**Check:**\nTotal games: $15 + 7 = 22$ (Correct)\nDifference: $15 - 7 = 8$ (Correct)\n\nAnswer: 15", "usage": {"prompt_tokens": 53, "total_tokens": 345, "completion_tokens": 292, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303512.938, "t1": 1793303553.463, "s": 40.52} +{"seq": 87, "idx": 89, "ok": true, "gold": "24", "reply": "To find out how much Christina will spend, we need to calculate the number of gift bags she needs to prepare and then multiply that by the cost per bag.\n\n1. **Identify the number of invited guests:**\n Christina invited 16 friends.\n\n2. **Calculate the number of gift bags needed:**\n The problem states she needs 0.75 gift bags per invited guest (this accounts for the fact that 1/4 of attendees typically do not show up).\n Number of bags = $16 \\text{ guests} \\times 0.75 \\text{ bags/guest}$\n $16 \\times 0.75 = 16 \\times \\frac{3}{4} = 12$ bags.\n\n3. **Calculate the total cost:**\n Each gift bag costs $2.\n Total cost = $12 \\text{ bags} \\times \\$2/\\text{bag}$\n Total cost = $24.\n\nChristina will spend $24.\n\nAnswer: 24", "usage": {"prompt_tokens": 79, "total_tokens": 306, "completion_tokens": 227, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303529.944, "t1": 1793303561.736, "s": 31.79} +{"seq": 88, "idx": 91, "ok": true, "gold": "28", "reply": "To find the total number of pets, we need to determine how many pets each person has based on the information provided.\n\n1. **Cindy's pets:** The problem states that Cindy has 4 pets.\n * Cindy = 4\n\n2. **Marcia's pets:** The problem states that Marcia has two more pets than Cindy.\n * Marcia = Cindy + 2\n * Marcia = 4 + 2 = 6\n\n3. **Jan's pets:** The problem states that Jan has three times the number of pets as Marcia.\n * Jan = 3 \u00d7 Marcia\n * Jan = 3 \u00d7 6 = 18\n\n4. **Total pets:** To find the total, add the number of pets each person has.\n * Total = Jan + Marcia + Cindy\n * Total = 18 + 6 + 4\n * Total = 28\n\nAnswer: 28", "usage": {"prompt_tokens": 63, "total_tokens": 278, "completion_tokens": 215, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303533.947, "t1": 1793303564.307, "s": 30.36} +{"seq": 89, "idx": 90, "ok": true, "gold": "225", "reply": "To find the total amount of potato salad Ted needs, we calculate the amount required for the adults and the children separately and then sum them.\n\n1. **Calculate the amount for adults:**\n Each adult eats 10 lbs of potato salad.\n There are 20 adults.\n Total for adults = $20 \\text{ adults} \\times 10 \\text{ lbs/adult} = 200 \\text{ lbs}$.\n\n2. **Calculate the amount for children:**\n A child eats half as much as an adult.\n Amount per child = $10 \\text{ lbs} / 2 = 5 \\text{ lbs}$.\n There are 5 children.\n Total for children = $5 \\text{ children} \\times 5 \\text{ lbs/child} = 25 \\text{ lbs}$.\n\n3. **Calculate the total amount:**\n Total potato salad = Total for adults + Total for children\n Total potato salad = $200 \\text{ lbs} + 25 \\text{ lbs} = 225 \\text{ lbs}$.\n\nAnswer: 225", "usage": {"prompt_tokens": 115, "total_tokens": 366, "completion_tokens": 251, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303530.445, "t1": 1793303565.947, "s": 35.5} +{"seq": 90, "idx": 96, "ok": true, "gold": "3", "reply": "To find out how many more hours Harry slept than James, we follow these steps:\n\n1. **Determine how many hours Harry slept:**\n Harry slept 9 hours.\n\n2. **Calculate how many hours James slept:**\n James slept $\\frac{2}{3}$ of what Harry slept.\n $\\text{James's sleep} = \\frac{2}{3} \\times 9$\n $\\text{James's sleep} = 2 \\times \\frac{9}{3}$\n $\\text{James's sleep} = 2 \\times 3 = 6$ hours.\n\n3. **Calculate the difference between Harry's sleep and James's sleep:**\n $\\text{Difference} = \\text{Harry's sleep} - \\text{James's sleep}$\n $\\text{Difference} = 9 - 6 = 3$ hours.\n\nHarry slept 3 more hours than James.\n\nAnswer: 3", "usage": {"prompt_tokens": 61, "total_tokens": 273, "completion_tokens": 212, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303538.951, "t1": 1793303568.828, "s": 29.88} +{"seq": 91, "idx": 88, "ok": true, "gold": "8000", "reply": "To find out how many copies Harald sold, we can set up an algebraic equation.\n\n1. **Define the variables:**\n Let $x$ be the number of copies Harald sold.\n Since Marilyn sold 10 times as many copies as Harald, Marilyn's sales can be represented as $10x$.\n\n2. **Set up the equation:**\n The problem states that their combined sales equal 88,000.\n $x + 10x = 88,000$\n\n3. **Solve for $x$:**\n Combine the like terms:\n $11x = 88,000$\n\n Divide both sides by 11:\n $x = \\frac{88,000}{11}$\n $x = 8,000$\n\n4. **Verify the result:**\n If Harald sold 8,000 copies, then Marilyn sold $10 \\times 8,000 = 80,000$ copies.\n Combined, they sold $8,000 + 80,000 = 88,000$ copies. This matches the information given in the problem.\n\nAnswer: 8000", "usage": {"prompt_tokens": 69, "total_tokens": 352, "completion_tokens": 283, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303529.444, "t1": 1793303569.54, "s": 40.1} +{"seq": 92, "idx": 92, "ok": true, "gold": "4", "reply": "To find Jackson's age, we can use the information provided about each child's age.\n\n1. **Identify James's age:**\n The problem states that James is 10 years old.\n\n2. **Find Corey's age using James's age:**\n The problem states that James is 1 year younger than Corey.\n If James (10) = Corey - 1, then:\n Corey = 10 + 1 = 11 years old.\n\n3. **Find Amy's age using Corey's age:**\n The problem states that Amy is 2 years younger than Corey.\n If Amy = Corey - 2, then:\n Amy = 11 - 2 = 9 years old.\n\n4. **Find Jackson's age using Amy's age:**\n The problem states that Amy is 5 years older than Jackson.\n If Amy (9) = Jackson + 5, then:\n Jackson = 9 - 5 = 4 years old.\n\n**Summary of ages:**\n- James: 10\n- Corey: 11\n- Amy: 9\n- Jackson: 4\n\nAnswer: 4", "usage": {"prompt_tokens": 80, "total_tokens": 348, "completion_tokens": 268, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303533.947, "t1": 1793303571.872, "s": 37.92} +{"seq": 93, "idx": 85, "ok": false, "gold": "44", "reply": "To find the total number of quilt blocks, we need to determine how many years Gene has been vacationing and multiply that by the number of vacations he takes per year.\n\n1. **Calculate the number of years Gene has been vacationing:**\n He started vacationing at age 23 and is now 34.\n Number of years = $34 - 23 + 1$ (Wait, let's re-evaluate: if he was 23 when he started and is now 34, we count the years: 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34).\n Calculation: $34 - 23 = 11$. Since we include both the starting year and the current year, it is $11 + 1 = 12$ years.\n\n2. **Calculate the total number of vacations (blocks):**\n He goes on 4 vacations every year.\n Total blocks = (Number of years) \u00d7 (Vacations per year)\n Total blocks = $12 \\times 4 = 48$.\n\n**Alternative check:**\nIf he has been vacationing *since* he was 23, and he is *now* 34:\nAge 23: 4 vacations\nAge 24: 4 vacations\nAge 25: 4 vacations\nAge 26: 4 vacations\nAge 27: 4 vacations\nAge 28: 4 vacations\nAge 29: 4 vacations\nAge 30: 4 vacations\nAge 31: 4 vacations\nAge 32: 4 vacations\nAge 33: 4 vacations\nAge 34: 4 vacations\nTotal years = 12.\nTotal blocks = $12 \\times 4 = 48$.\n\nAnswer: 48", "usage": {"prompt_tokens": 113, "total_tokens": 550, "completion_tokens": 437, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303512.939, "t1": 1793303573.894, "s": 60.96} +{"seq": 94, "idx": 87, "ok": true, "gold": "9360", "reply": "To find Sylvie's annual salary after three more years of service, we follow these steps:\n\n1. **Determine the initial monthly salary:**\n Sylvie's current monthly salary is $600.\n\n2. **Determine the annual increase amount:**\n The policy states that employees who have stayed for five years receive an increase of 10% of their **initial** salary every year.\n Initial monthly salary = $600.\n Annual increase per month = 10% of $600 = $0.10 \\times 600 = $60.\n\n3. **Calculate the monthly salary after three more years:**\n Sylvie has just completed 5 years. We need to find her monthly salary after 3 more years of service (at the end of year 8).\n Since she receives the increase every year after the 5th year:\n - After 1 more year (Year 6): Monthly salary = $600 + $60 = $660.\n - After 2 more years (Year 7): Monthly salary = $660 + $60 = $720.\n - After 3 more years (Year 8): Monthly salary = $720 + $60 = $780.\n\n Alternatively, using the formula for linear increase:\n Monthly salary after $n$ years of increases = Initial monthly salary + ($n \\times$ Annual increase amount)\n Monthly salary = $600 + (3 \\times $60) = $600 + $180 = $780.\n\n4. **Calculate the annual salary:**\n The question asks for her **annual** salary.\n Annual salary = Monthly salary $\\times$ 12 months\n Annual salary = $780 \\times 12$\n\n Calculation:\n $780 \\times 10 = 7800$\n $780 \\times 2 = 1560$\n $7800 + 1560 = 9360$\n\nAnswer: 9360", "usage": {"prompt_tokens": 108, "total_tokens": 581, "completion_tokens": 473, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303513.94, "t1": 1793303579.538, "s": 65.6} +{"seq": 95, "idx": 98, "ok": true, "gold": "5", "reply": "To find out how many cars drove through the traffic jam in the first 15 minutes, we can follow these steps:\n\n1. **Identify the total number of cars involved:** There were originally 30 cars on the motorway.\n2. **Account for the cars that left the line:** 5 cars took an exit and did not drive through the traffic jam.\n3. **Calculate the total number of cars that drove through the jam:**\n Total cars - Cars that took an exit = Cars that drove through the jam\n $30 - 5 = 25$ cars.\n4. **Determine the distribution of cars driving through the jam:**\n We know that 20 cars drove through in the second 15-minute period.\n Let $x$ be the number of cars that drove through in the first 15 minutes.\n $x + 20 = 25$\n5. **Solve for $x$:**\n $x = 25 - 20$\n $x = 5$\n\nSo, 5 cars drove through the traffic jam in the first 15 minutes.\n\nAnswer: 5", "usage": {"prompt_tokens": 124, "total_tokens": 379, "completion_tokens": 255, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303545.454, "t1": 1793303581.355, "s": 35.9} +{"seq": 96, "idx": 94, "ok": true, "gold": "348", "reply": "To find the total number of pets in the neighborhood, we need to determine the number of dogs, cats, and rabbits.\n\n1. **Find the number of dogs:**\n The problem states there are 60 dogs.\n $\\text{Dogs} = 60$\n\n2. **Find the number of cats:**\n The problem states there are two cats for every dog.\n $\\text{Cats} = 2 \\times \\text{Dogs} = 2 \\times 60 = 120$\n\n3. **Find the combined number of dogs and cats:**\n $\\text{Dogs} + \\text{Cats} = 60 + 120 = 180$\n\n4. **Find the number of rabbits:**\n The number of rabbits is twelve less than the combined number of dogs and cats.\n $\\text{Rabbits} = (\\text{Dogs} + \\text{Cats}) - 12$\n $\\text{Rabbits} = 180 - 12 = 168$\n\n5. **Find the total number of pets:**\n The total number of pets is the sum of dogs, cats, and rabbits.\n $\\text{Total} = \\text{Dogs} + \\text{Cats} + \\text{Rabbits}$\n $\\text{Total} = 60 + 120 + 168$\n $\\text{Total} = 180 + 168 = 348$\n\nAnswer: 348", "usage": {"prompt_tokens": 80, "total_tokens": 426, "completion_tokens": 346, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303535.449, "t1": 1793303583.888, "s": 48.44} +{"seq": 97, "idx": 97, "ok": true, "gold": "12", "reply": "To find out how many tomatoes Freda used, we can follow these steps:\n\n1. **Determine the volume of canned tomatoes used:**\n Freda's sauce made 32 ounces. We are told that the tomatoes lose half their volume when cooked into sauce. This means the volume of the sauce is half the volume of the original canned tomatoes.\n Let $V$ be the volume of the canned tomatoes.\n $\\frac{1}{2}V = 32 \\text{ ounces}$\n $V = 32 \\times 2 = 64 \\text{ ounces}$\n\n2. **Determine how many cans of tomatoes were used:**\n Each can contains 16 ounces of tomatoes.\n Number of cans = $\\frac{\\text{Total volume of tomatoes}}{\\text{Volume per can}}$\n Number of cans = $\\frac{64 \\text{ ounces}}{16 \\text{ ounces/can}} = 4 \\text{ cans}$\n\n3. **Determine the total number of tomatoes used:**\n Each 16-ounce can contains 3 tomatoes.\n Total tomatoes = $\\text{Number of cans} \\times \\text{Tomatoes per can}$\n Total tomatoes = $4 \\text{ cans} \\times 3 \\text{ tomatoes/can} = 12 \\text{ tomatoes}$\n\nAnswer: 12", "usage": {"prompt_tokens": 84, "total_tokens": 381, "completion_tokens": 297, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303542.953, "t1": 1793303584.803, "s": 41.85} +{"seq": 98, "idx": 95, "ok": true, "gold": "40", "reply": "To find the number of girls who are not in the girl scout, we follow these steps:\n\n1. **Find the number of boys:**\n The total number of students is 200.\n The fraction of boys is $\\frac{2}{5}$.\n Number of boys = $200 \\times \\frac{2}{5} = 40 \\times 2 = 80$.\n\n2. **Find the number of girls:**\n The number of girls is the total number of students minus the number of boys.\n Number of girls = $200 - 80 = 120$.\n\n3. **Find the number of girls in the girl scout:**\n $\\frac{2}{3}$ of the girls are in the girl scout.\n Number of girls in girl scout = $120 \\times \\frac{2}{3} = 40 \\times 2 = 80$.\n\n4. **Find the number of girls not in the girl scout:**\n Subtract the number of girls in the girl scout from the total number of girls.\n Number of girls not in girl scout = $120 - 80 = 40$.\n\n *Alternatively:*\n If $\\frac{2}{3}$ of the girls are in the girl scout, then $1 - \\frac{2}{3} = \\frac{1}{3}$ of the girls are not in the girl scout.\n Number of girls not in girl scout = $120 \\times \\frac{1}{3} = 40$.\n\nAnswer: 40", "usage": {"prompt_tokens": 71, "total_tokens": 422, "completion_tokens": 351, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303537.95, "t1": 1793303587.154, "s": 49.2} +{"seq": 99, "idx": 101, "ok": true, "gold": "6", "reply": "To find out how many pages Solo needs to read on average per day, we first need to calculate the total number of pages he has to read in all his textbooks.\n\n1. **Calculate the total number of pages:**\n * Science: 4 pages\n * Social Studies: 20 pages\n * History: 7 pages\n * Geography: 8 pages\n * Total pages = $4 + 20 + 7 + 8 = 39$ pages.\n\n2. **Subtract the pages already read:**\n * Solo read 15 pages on Monday.\n * Remaining pages = $39 - 15 = 24$ pages.\n\n3. **Calculate the average pages per day for the remaining days:**\n * Solo has 4 more days to complete the reading.\n * Average pages per day = $\\frac{\\text{Remaining pages}}{\\text{Remaining days}}$\n * Average pages per day = $\\frac{24}{4} = 6$ pages.\n\nSolo needs to read 6 pages per day on average.\n\nAnswer: 6", "usage": {"prompt_tokens": 106, "total_tokens": 356, "completion_tokens": 250, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303553.958, "t1": 1793303588.957, "s": 35.0} +{"seq": 100, "idx": 99, "ok": true, "gold": "58", "reply": "To find out how many potted plants Mary will have remaining, we can follow these steps:\n\n1. **Calculate the number of plants Mary already had:**\n She has 40 window ledges, and each ledge has 2 plants.\n $40 \\times 2 = 80$ plants.\n\n2. **Calculate the total number of plants Mary has now:**\n She received 18 new plants yesterday.\n $80 + 18 = 98$ plants.\n\n3. **Calculate how many plants she will give away:**\n She is giving 1 plant from each of the 40 ledges.\n $40 \\times 1 = 40$ plants.\n\n4. **Calculate the remaining number of plants:**\n Subtract the plants given away from the total number of plants.\n $98 - 40 = 58$ plants.\n\nAlternatively, we can look at the ledges:\n- She starts with 80 plants on ledges and 18 new ones (Total 98).\n- She gives away 1 plant from each of the 40 ledges, meaning she is left with 1 plant on each of the 40 ledges (40 plants) plus the 18 new plants.\n- $40 + 18 = 58$ plants.\n\nAnswer: 58", "usage": {"prompt_tokens": 106, "total_tokens": 411, "completion_tokens": 305, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303547.455, "t1": 1793303590.433, "s": 42.98} +{"seq": 101, "idx": 100, "ok": true, "gold": "175", "reply": "To find the total number of doorbell rings, we need to calculate the number of times each friend pressed the doorbell and then sum them up.\n\n1. **First friend:** The problem states the first friend pressed the doorbell **20 times**.\n\n2. **Second friend:** The second friend pressed the doorbell $1/4$ times more than the first friend.\n * $1/4$ of the first friend's presses = $\\frac{1}{4} \\times 20 = 5$.\n * Total for the second friend = $20 + 5 = \\mathbf{25}$ **times**.\n\n3. **Fourth friend:** The problem states the fourth friend pressed the doorbell **60 times**.\n\n4. **Third friend:** The third friend pressed the doorbell 10 times more than the fourth friend.\n * Total for the third friend = $60 + 10 = \\mathbf{70}$ **times**.\n\n5. **Total doorbell rings:** Now, we add the presses from all four friends together:\n * First friend: 20\n * Second friend: 25\n * Third friend: 70\n * Fourth friend: 60\n\n Total = $20 + 25 + 70 + 60$\n Total = $45 + 70 + 60$\n Total = $115 + 60$\n Total = $175$\n\nAnswer: 175", "usage": {"prompt_tokens": 119, "total_tokens": 454, "completion_tokens": 335, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303548.456, "t1": 1793303595.357, "s": 46.9} +{"seq": 102, "idx": 105, "ok": true, "gold": "20", "reply": "To find the total number of cookies eaten by both Cody and Amir, follow these steps:\n\n1. **Determine how many cookies Amir eats:**\n The problem states that Amir eats 5 cookies.\n\n2. **Determine how many cookies Cody eats:**\n The problem states that Cody eats three times as many cookies as Amir.\n $\\text{Cody's cookies} = 3 \\times \\text{Amir's cookies}$\n $\\text{Cody's cookies} = 3 \\times 5 = 15$\n\n3. **Calculate the total number of cookies eaten together:**\n To find the total, add Amir's cookies and Cody's cookies together.\n $\\text{Total} = \\text{Amir's cookies} + \\text{Cody's cookies}$\n $\\text{Total} = 5 + 15 = 20$\n\nAnswer: 20", "usage": {"prompt_tokens": 60, "total_tokens": 264, "completion_tokens": 204, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303568.963, "t1": 1793303597.43, "s": 28.47} +{"seq": 103, "idx": 102, "ok": true, "gold": "26", "reply": "To find the total number of glasses of water John drinks in a week, we need to calculate his consumption for weekdays and weekends separately.\n\n**1. Weekdays (Monday through Friday):**\nJohn drinks water at:\n- Breakfast (1 glass)\n- Lunch (1 glass)\n- Dinner (1 glass)\n- Before bed (1 glass)\n\nTotal per weekday = $1 + 1 + 1 + 1 = 4$ glasses.\nThere are 5 weekdays in a week.\nTotal for weekdays = $5 \\text{ days} \\times 4 \\text{ glasses/day} = 20$ glasses.\n\n**2. Weekends (Saturday and Sunday):**\nJohn drinks water at:\n- Breakfast (1 glass)\n- Lunch (1 glass)\n- (He drinks soda instead of water at dinner)\n- Before bed (1 glass)\n\nTotal per weekend day = $1 + 1 + 1 = 3$ glasses.\nThere are 2 weekend days in a week.\nTotal for weekends = $2 \\text{ days} \\times 3 \\text{ glasses/day} = 6$ glasses.\n\n**3. Total for the week:**\nTotal glasses = Weekday total + Weekend total\nTotal glasses = $20 + 6 = 26$ glasses.\n\nAnswer: 26", "usage": {"prompt_tokens": 94, "total_tokens": 385, "completion_tokens": 291, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303561.96, "t1": 1793303602.739, "s": 40.78} +{"seq": 104, "idx": 112, "ok": true, "gold": "24", "reply": "To find the total number of times the whiteboard is cleaned in a day, we can follow these steps:\n\n1. **Determine the total number of lessons per day:**\n There are 4 teachers, and each teacher has 2 lessons per day.\n Total lessons = $4 \\text{ teachers} \\times 2 \\text{ lessons/teacher} = 8 \\text{ lessons per day}$.\n\n2. **Determine the number of times the whiteboard is cleaned per day:**\n The whiteboard is cleaned 3 times during each lesson.\n Total cleanings = $8 \\text{ lessons} \\times 3 \\text{ cleanings/lesson} = 24 \\text{ cleanings per day}$.\n\nAnswer: 24", "usage": {"prompt_tokens": 87, "total_tokens": 247, "completion_tokens": 160, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303584.971, "t1": 1793303607.15, "s": 22.18} +{"seq": 105, "idx": 113, "ok": true, "gold": "25", "reply": "To find the total number of flowers Ryan has, we can follow these steps:\n\n1. **Calculate the total number of flowers planted:**\n Ryan plants 2 flowers every day for 15 days.\n $2 \\text{ flowers/day} \\times 15 \\text{ days} = 30 \\text{ flowers planted.}$\n\n2. **Subtract the flowers that did not grow:**\n Out of the 30 flowers planted, 5 did not grow.\n $30 \\text{ flowers} - 5 \\text{ flowers} = 25 \\text{ flowers.}$\n\nRyan has 25 flowers.\n\nAnswer: 25", "usage": {"prompt_tokens": 59, "total_tokens": 206, "completion_tokens": 147, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303587.472, "t1": 1793303607.898, "s": 20.43} +{"seq": 106, "idx": 103, "ok": true, "gold": "140", "reply": "To find out how many minutes it will take for the fog bank to cover the whole city, we can follow these steps:\n\n1. **Identify the rate of coverage:** The fog bank covers 3 miles every 10 minutes.\n2. **Determine the total distance to be covered:** The city is 42 miles across.\n3. **Calculate how many 3-mile segments are in the city:**\n $$\\text{Number of segments} = \\frac{\\text{Total distance}}{\\text{Distance per segment}} = \\frac{42 \\text{ miles}}{3 \\text{ miles}} = 14 \\text{ segments}$$\n4. **Calculate the total time:** Since each 3-mile segment takes 10 minutes, we multiply the number of segments by the time per segment:\n $$\\text{Total time} = 14 \\text{ segments} \\times 10 \\text{ minutes/segment} = 140 \\text{ minutes}$$\n\nAlternatively, you can find the rate per mile:\nRate = $10 \\text{ minutes} / 3 \\text{ miles} = \\frac{10}{3} \\text{ minutes per mile}$.\nTotal time = $42 \\text{ miles} \\times \\frac{10}{3} \\text{ minutes/mile} = 14 \\times 10 = 140 \\text{ minutes}$.\n\nAnswer: 140", "usage": {"prompt_tokens": 93, "total_tokens": 408, "completion_tokens": 315, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303564.461, "t1": 1793303608.499, "s": 44.04} +{"seq": 107, "idx": 109, "ok": true, "gold": "28", "reply": "To find the total cost of the gas after the cashback rewards, follow these steps:\n\n1. **Calculate the initial cost of the gas:**\n The gas costs $3.00 per gallon.\n For 10 gallons: $3.00 \\times 10 = \\$30.00$.\n\n2. **Calculate the total cashback amount:**\n The cashback is $0.20 per gallon.\n For 10 gallons: $0.20 \\times 10 = \\$2.00$.\n\n3. **Calculate the final cost after cashback:**\n Subtract the cashback from the initial cost.\n $\\$30.00 - \\$2.00 = \\$28.00$.\n\nAlternatively, you can calculate the net cost per gallon first:\nNet cost per gallon = $\\$3.00 - \\$0.20 = \\$2.80$.\nTotal cost for 10 gallons = $\\$2.80 \\times 10 = \\$28.00$.\n\nAnswer: 28.00", "usage": {"prompt_tokens": 88, "total_tokens": 324, "completion_tokens": 236, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303579.968, "t1": 1793303612.86, "s": 32.89} +{"seq": 108, "idx": 110, "ok": true, "gold": "45", "reply": "To find the average number of fruit roll-ups eaten by Marcell and Beatrice, we first need to calculate the total number of roll-ups each person ate.\n\n1. **Calculate Beatrice's total roll-ups:**\n Beatrice's roll-ups were 2 wide and 24 long.\n Total for Beatrice = $2 \\times 24 = 48$ roll-ups.\n\n2. **Calculate Marcell's total roll-ups:**\n Marcell's roll-ups were 3 wide and 14 long.\n Total for Marcell = $3 \\times 14 = 42$ roll-ups.\n\n3. **Calculate the sum of their roll-ups:**\n Total eaten = $48 + 42 = 90$ roll-ups.\n\n4. **Calculate the average:**\n The average is the total number of roll-ups divided by the number of people (2).\n Average = $90 / 2 = 45$.\n\nAnswer: 45", "usage": {"prompt_tokens": 119, "total_tokens": 348, "completion_tokens": 229, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303581.469, "t1": 1793303613.366, "s": 31.9} +{"seq": 109, "idx": 107, "ok": true, "gold": "3", "reply": "To find out how many 30-minute episodes Frankie watched on Wednesday, we need to calculate the total time spent watching TV on the other days and subtract that from the total of 7 hours.\n\n1. **Monday:** 1 hour\n2. **Tuesday:** 1 hour\n3. **Thursday:** 1 hour + 30 minutes = 1.5 hours\n4. **Friday:** 2 $\\times$ 1 hour = 2 hours\n\nNow, add the hours from Monday, Tuesday, Thursday, and Friday:\n$1 + 1 + 1.5 + 2 = 5.5$ hours.\n\nThe total time Frankie watched TV in all is 7 hours. We subtract the time spent on the other days from the total time to find the time spent on Wednesday:\n$7 \\text{ hours} - 5.5 \\text{ hours} = 1.5 \\text{ hours}$.\n\nSince 1.5 hours is equal to 1 hour and 30 minutes, we convert this into minutes to find the number of 30-minute episodes:\n$1.5 \\text{ hours} \\times 60 \\text{ minutes/hour} = 90 \\text{ minutes}$.\n\nNow, divide the total minutes on Wednesday by the length of one episode (30 minutes):\n$90 \\text{ minutes} \\div 30 \\text{ minutes/episode} = 3 \\text{ episodes}$.\n\nAnswer: 3", "usage": {"prompt_tokens": 150, "total_tokens": 474, "completion_tokens": 324, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303571.965, "t1": 1793303616.985, "s": 45.02} +{"seq": 110, "idx": 104, "ok": true, "gold": "500", "reply": "To find out how many jigsaw pieces are left to be placed, we follow these steps:\n\n1. **Identify the total number of pieces:**\n Total pieces = 1000\n\n2. **Calculate how many pieces Poppy places:**\n Poppy places a quarter of the pieces.\n $\\text{Pieces placed by Poppy} = \\frac{1}{4} \\times 1000 = 250$\n\n3. **Calculate the remaining pieces after Poppy's turn:**\n $\\text{Remaining pieces} = 1000 - 250 = 750$\n\n4. **Calculate how many pieces her mom places:**\n Her mom places a third of the *remaining* pieces.\n $\\text{Pieces placed by Mom} = \\frac{1}{3} \\times 750 = 250$\n\n5. **Calculate the final number of pieces left to be placed:**\n $\\text{Final remaining pieces} = 750 - 250 = 500$\n\nAlternatively, we can look at the fractions:\n- After Poppy places $\\frac{1}{4}$, $\\frac{3}{4}$ remain.\n- Mom places $\\frac{1}{3}$ of the $\\frac{3}{4}$, which is $\\frac{1}{3} \\times \\frac{3}{4} = \\frac{1}{4}$.\n- The total fraction placed is $\\frac{1}{4} + \\frac{1}{4} = \\frac{2}{4} = \\frac{1}{2}$.\n- The fraction remaining is $1 - \\frac{1}{2} = \\frac{1}{2}$.\n- $\\frac{1}{2}$ of $1000 = 500$.\n\nAnswer: 500", "usage": {"prompt_tokens": 76, "total_tokens": 476, "completion_tokens": 400, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303565.962, "t1": 1793303621.696, "s": 55.73} +{"seq": 111, "idx": 117, "ok": true, "gold": "360", "reply": "To find the total amount John paid, we can follow these steps:\n\n1. **Determine the total number of pairs of shoes:**\n John has 3 children, and he buys 2 pairs of shoes for each child.\n $3 \\text{ children} \\times 2 \\text{ pairs/child} = 6 \\text{ pairs of shoes}$\n\n2. **Calculate the total cost:**\n Each pair of shoes costs $60.\n $6 \\text{ pairs} \\times \\$60/\\text{pair} = \\$360$\n\nAlternatively, you can calculate the cost per child first:\n1. **Cost per child:**\n $2 \\text{ pairs} \\times \\$60 = \\$120$\n2. **Total cost for 3 children:**\n $3 \\text{ children} \\times \\$120 = \\$360$\n\nAnswer: 360", "usage": {"prompt_tokens": 59, "total_tokens": 265, "completion_tokens": 206, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303597.477, "t1": 1793303626.231, "s": 28.75} +{"seq": 112, "idx": 108, "ok": true, "gold": "50", "reply": "To find out how many cookies Henry baked last year, we can set up an equation based on the information provided.\n\n1. **Define the variable:**\n Let $x$ be the number of cookies Henry baked last year.\n\n2. **Translate the steps into an algebraic expression:**\n * Henry wanted to make twice as many as last year: $2x$\n * He actually baked 15 more than he meant to: $2x + 15$\n * He dropped 5 cookies: $(2x + 15) - 5$\n * The final total is 110: $(2x + 15) - 5 = 110$\n\n3. **Solve the equation:**\n First, simplify the left side of the equation:\n $2x + 15 - 5 = 110$\n $2x + 10 = 110$\n\n Next, subtract 10 from both sides:\n $2x = 110 - 10$\n $2x = 100$\n\n Finally, divide by 2:\n $x = \\frac{100}{2}$\n $x = 50$\n\n4. **Verify the result:**\n * Last year: 50 cookies\n * Twice last year: $50 \\times 2 = 100$\n * 15 more than intended: $100 + 15 = 115$\n * Dropped 5: $115 - 5 = 110$\n The result matches the final total given in the problem.\n\nAnswer: 50", "usage": {"prompt_tokens": 109, "total_tokens": 496, "completion_tokens": 387, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303573.966, "t1": 1793303627.88, "s": 53.91} +{"seq": 113, "idx": 114, "ok": true, "gold": "6", "reply": "To find the number of ducks in Jamal's photograph, we can follow these steps:\n\n1. **Determine the capacity of Jamal's phone:**\n The problem states that Jamal's phone can hold 1800 photographs.\n\n2. **Determine the capacity of Brittany's phone:**\n We are told that Jamal's phone can hold 6 times more photographs than Brittany's phone. Let $B$ be the capacity of Brittany's phone.\n $6 \\times B = 1800$\n $B = \\frac{1800}{6}$\n $B = 300$\n So, Brittany's phone can hold 300 photographs.\n\n3. **Determine the number of birds in the photograph:**\n The problem states that the maximum number of photographs Brittany's phone can hold (which is 300) is 50 times more than the number of birds in Jamal's photograph. Let $D$ be the number of ducks (birds) in the photograph.\n $50 \\times D = 300$\n $D = \\frac{300}{50}$\n $D = 6$\n\nThe number of ducks in Jamal's photograph is 6.\n\nAnswer: 6", "usage": {"prompt_tokens": 116, "total_tokens": 401, "completion_tokens": 285, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303588.973, "t1": 1793303629.019, "s": 40.05} +{"seq": 114, "idx": 106, "ok": true, "gold": "72", "reply": "To find the total inner volume of all 3 boxes, we first need to determine the inner dimensions of a single box.\n\n1. **Identify the outer dimensions of one box:**\n Length ($L_{outer}$) = 5 inches\n Width ($W_{outer}$) = 6 inches\n Height ($H_{outer}$) = 4 inches\n\n2. **Determine the thickness of the walls:**\n The walls are 1 inch thick. This thickness applies to every side of the box.\n\n3. **Calculate the inner dimensions of one box:**\n To find the inner dimension, we subtract the thickness of two walls (one for each opposing side) from each outer dimension.\n Inner Length ($L_{inner}$) = $L_{outer} - (2 \\times \\text{thickness}) = 5 - (2 \\times 1) = 5 - 2 = 3$ inches\n Inner Width ($W_{inner}$) = $W_{outer} - (2 \\times \\text{thickness}) = 6 - (2 \\times 1) = 6 - 2 = 4$ inches\n Inner Height ($H_{inner}$) = $H_{outer} - (2 \\times \\text{thickness}) = 4 - (2 \\times 1) = 4 - 2 = 2$ inches\n\n4. **Calculate the inner volume of one box:**\n $\\text{Volume}_{inner} = L_{inner} \\times W_{inner} \\times H_{inner}$\n $\\text{Volume}_{inner} = 3 \\text{ in} \\times 4 \\text{ in} \\times 2 \\text{ in} = 24 \\text{ cubic inches}$\n\n5. **Calculate the total inner volume for all 3 boxes:**\n $\\text{Total Volume} = 3 \\times \\text{Volume}_{inner}$\n $\\text{Total Volume} = 3 \\times 24 = 72 \\text{ cubic inches}$\n\nAnswer: 72", "usage": {"prompt_tokens": 73, "total_tokens": 513, "completion_tokens": 440, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303569.964, "t1": 1793303631.652, "s": 61.69} +{"seq": 115, "idx": 111, "ok": true, "gold": "16", "reply": "To find out how much water the boat took on, we need to determine the total distance Julia rowed to reach the shore.\n\n1. **Determine the total time spent rowing:**\n The problem states the shore was 64 seconds away.\n\n2. **Determine the rowing speed (distance per second):**\n Julia rows 20 feet in 16 seconds.\n Speed = $\\frac{20 \\text{ feet}}{16 \\text{ seconds}} = 1.25 \\text{ feet per second}$.\n\n3. **Calculate the total distance rowed:**\n Total distance = Speed $\\times$ Total time\n Total distance = $1.25 \\text{ feet/second} \\times 64 \\text{ seconds}$\n Total distance = $80 \\text{ feet}$.\n\n4. **Calculate the amount of water taken on:**\n The boat takes on 2 liters of water for every 10 feet rowed.\n Water rate = $\\frac{2 \\text{ liters}}{10 \\text{ feet}} = 0.2 \\text{ liters per foot}$.\n Total water = Total distance $\\times$ Water rate\n Total water = $80 \\text{ feet} \\times 0.2 \\text{ liters/foot}$\n Total water = $16 \\text{ liters}$.\n\nAlternatively:\nTotal distance is 80 feet.\nSince she takes 2 liters per 10 feet, we divide the total distance by 10 and multiply by 2:\n$(80 / 10) \\times 2 = 8 \\times 2 = 16$ liters.\n\nAnswer: 16", "usage": {"prompt_tokens": 98, "total_tokens": 467, "completion_tokens": 369, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303583.97, "t1": 1793303635.824, "s": 51.85} +{"seq": 116, "idx": 120, "ok": true, "gold": "240", "reply": "To find out how many sheets of paper Miguel uses every month, we follow these steps:\n\n1. **Calculate the number of sheets used per week:**\n Miguel uses 2 pads of paper per week. Each pad contains 30 sheets.\n $2 \\text{ pads} \\times 30 \\text{ sheets/pad} = 60 \\text{ sheets per week}$.\n\n2. **Calculate the number of sheets used per month:**\n Standard mathematical problems of this type typically assume there are 4 weeks in a month unless otherwise specified.\n $60 \\text{ sheets/week} \\times 4 \\text{ weeks/month} = 240 \\text{ sheets per month}$.\n\n(Note: If using the more precise average of 4.34 weeks per month, the answer would be different, but in standard word problems, 4 weeks is the conventional multiplier for \"month\".)\n\nAnswer: 240", "usage": {"prompt_tokens": 68, "total_tokens": 275, "completion_tokens": 207, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303607.982, "t1": 1793303637.446, "s": 29.46} +{"seq": 117, "idx": 121, "ok": true, "gold": "27", "reply": "To find the total number of fruits, we first determine the number of fruits each person brought.\n\n**1. Morisette's fruits:**\n* Apples: 5\n* Oranges: 8\n* Total for Morisette: $5 + 8 = 13$\n\n**2. Kael's fruits:**\n* Apples: Kael brought twice the amount of apples as Morisette.\n $5 \\times 2 = 10$ apples.\n* Oranges: Kael brought half the number of oranges as Morisette.\n $8 \\div 2 = 4$ oranges.\n* Total for Kael: $10 + 4 = 14$\n\n**3. Total fruits:**\nTo find the total, add Morisette's total and Kael's total:\n$13 + 14 = 27$\n\nAnswer: 27", "usage": {"prompt_tokens": 80, "total_tokens": 283, "completion_tokens": 203, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303608.982, "t1": 1793303637.94, "s": 28.96} +{"seq": 118, "idx": 118, "ok": true, "gold": "4", "reply": "To find the number of containers imported on the second day, we can follow these steps:\n\n1. **Calculate the number of vehicles imported on the first day:**\n The officer counted 2 containers, and each container had 5 vehicles.\n $2 \\text{ containers} \\times 5 \\text{ vehicles/container} = 10 \\text{ vehicles}$.\n\n2. **Calculate the total number of vehicles imported on the second day:**\n The total number of vehicles at the port became 30. We subtract the vehicles from the first day from this total.\n $30 \\text{ total vehicles} - 10 \\text{ initial vehicles} = 20 \\text{ vehicles imported on the second day}$.\n\n3. **Calculate the number of containers imported on the second day:**\n We are told that all containers contain 5 vehicles. To find the number of containers, we divide the number of vehicles imported on the second day by the number of vehicles per container.\n $20 \\text{ vehicles} \\div 5 \\text{ vehicles/container} = 4 \\text{ containers}$.\n\nAnswer: 4", "usage": {"prompt_tokens": 101, "total_tokens": 350, "completion_tokens": 249, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303602.979, "t1": 1793303638.463, "s": 35.48} +{"seq": 119, "idx": 116, "ok": true, "gold": "42", "reply": "To find the number of teaspoons of sugar Katy used, we follow these steps:\n\n1. **Identify the ratio and the total amount:**\n The ratio of sugar to water is $7:13$.\n The total amount of sugar and water combined is $120$ units (teaspoons of sugar + cups of water).\n\n2. **Determine the total number of parts in the ratio:**\n The total number of parts is the sum of the parts for sugar and water:\n $7 + 13 = 20$ parts.\n\n3. **Calculate the value of one part:**\n Since the total amount is $120$ and there are $20$ parts, we divide the total amount by the total number of parts:\n $120 \\div 20 = 6$.\n So, each \"part\" represents $6$ units.\n\n4. **Calculate the amount of sugar:**\n The sugar corresponds to $7$ parts of the ratio.\n $\\text{Sugar} = 7 \\text{ parts} \\times 6 \\text{ units/part} = 42$.\n\n**Verification:**\nSugar = $42$\nWater = $13 \\times 6 = 78$\nTotal = $42 + 78 = 120$\nRatio = $42:78 = 7:13$ (Dividing both by 6)\n\nThe number of teaspoonfuls of sugar used is 42.\n\nAnswer: 42", "usage": {"prompt_tokens": 81, "total_tokens": 419, "completion_tokens": 338, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303595.476, "t1": 1793303643.018, "s": 47.54} +{"seq": 120, "idx": 123, "ok": true, "gold": "50", "reply": "To find the total number of miles Rosie can run in 7 hours, we need to calculate the distance covered in two separate stages.\n\n**Stage 1: The first 3 hours**\nRosie runs at a speed of 10 miles per hour for 3 hours.\nDistance = Speed \u00d7 Time\nDistance = 10 mph \u00d7 3 hours = 30 miles.\n\n**Stage 2: The remaining time**\nThe total time is 7 hours. We have already accounted for the first 3 hours.\nRemaining time = 7 hours - 3 hours = 4 hours.\nDuring this time, her speed is 5 miles per hour.\nDistance = Speed \u00d7 Time\nDistance = 5 mph \u00d7 4 hours = 20 miles.\n\n**Total Distance:**\nTotal distance = Distance from Stage 1 + Distance from Stage 2\nTotal distance = 30 miles + 20 miles = 50 miles.\n\nAnswer: 50", "usage": {"prompt_tokens": 66, "total_tokens": 275, "completion_tokens": 209, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303613.484, "t1": 1793303643.165, "s": 29.68} +{"seq": 121, "idx": 126, "ok": true, "gold": "82", "reply": "To find the total number of sausages Dylan bought, we need to calculate the number of fish sausages first and then add that to the number of chicken sausages.\n\n1. **Find the number of chicken sausages:**\n Dylan bought 38 chicken sausages.\n\n2. **Find the number of fish sausages:**\n He bought 6 more fish sausages than chicken sausages.\n Number of fish sausages = 38 + 6 = 44.\n\n3. **Find the total number of sausages:**\n Total sausages = Chicken sausages + Fish sausages\n Total sausages = 38 + 44 = 82.\n\nAnswer: 82", "usage": {"prompt_tokens": 70, "total_tokens": 212, "completion_tokens": 142, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303626.489, "t1": 1793303646.981, "s": 20.49} +{"seq": 122, "idx": 127, "ok": true, "gold": "120", "reply": "To find the total number of friends Lily and Amy have together, we follow these steps:\n\n1. **Identify the number of friends Lily has:**\n Lily has 50 friends.\n\n2. **Calculate the number of friends Amy has:**\n Amy made 20 more friends than Lily.\n Amy's friends = Lily's friends + 20\n Amy's friends = 50 + 20 = 70\n\n3. **Calculate the total number of friends Lily and Amy have together:**\n Total friends = Lily's friends + Amy's friends\n Total friends = 50 + 70 = 120\n\nAnswer: 120", "usage": {"prompt_tokens": 64, "total_tokens": 218, "completion_tokens": 154, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303627.991, "t1": 1793303649.826, "s": 21.84} +{"seq": 123, "idx": 115, "ok": true, "gold": "90", "reply": "To find the total profit Sasha makes, we need to calculate her total cost and her total revenue from selling the lumber.\n\n**1. Calculate the total cost:**\nSasha bought:\n* Ten 2 x 4 x 10 boards at $10 each: $10 \\times 10 = \\$100$\n* Five 4 x 4 x 10 boards at $16 each: $5 \\times 16 = \\$80$\n\nTotal Cost = $\\$100 + \\$80 = \\$180$\n\n**2. Calculate the selling price per board:**\nThe problem states that prices have gone up by 50% since she bought them. To find the new selling price, we increase her original cost per board by 50%.\n\n* New price for a 2 x 4 x 10 board: $\\$10 + (0.50 \\times \\$10) = \\$10 + \\$5 = \\$15$\n* New price for a 4 x 4 x 10 board: $\\$16 + (0.50 \\times \\$16) = \\$16 + \\$8 = \\$24$\n\n**3. Calculate the total revenue:**\nSasha sells all her leftover boards at the new prices:\n* Revenue from 2 x 4 x 10 boards: $10 \\text{ boards} \\times \\$15/\\text{board} = \\$150$\n* Revenue from 4 x 4 x 10 boards: $5 \\text{ boards} \\times \\$24/\\text{board} = \\$120$\n\nTotal Revenue = $\\$150 + \\$120 = \\$270$\n\n**4. Calculate the profit:**\nProfit is the difference between total revenue and total cost.\nProfit = Total Revenue - Total Cost\nProfit = $\\$270 - \\$180 = \\$90$\n\nAnswer: 90", "usage": {"prompt_tokens": 122, "total_tokens": 555, "completion_tokens": 433, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303590.474, "t1": 1793303651.284, "s": 60.81} +{"seq": 124, "idx": 122, "ok": true, "gold": "48", "reply": "To find the total number of hours Sadie slept throughout the week, we calculate the hours for each day step-by-step:\n\n1. **Monday:**\n Sadie slept **8 hours**.\n\n2. **Tuesday and Wednesday (the next two days):**\n She slept 2 hours less than Monday each day.\n Tuesday: $8 - 2 = 6$ hours.\n Wednesday: $8 - 2 = 6$ hours.\n Total for these two days: $6 + 6 = 12$ hours.\n\n3. **Thursday through Sunday (the rest of the week):**\n The \"rest of the week\" consists of 4 days (Thursday, Friday, Saturday, and Sunday).\n She slept 1 hour more than those two days (Tuesday and Wednesday).\n Hours per day: $6 + 1 = 7$ hours.\n Total for these four days: $4 \\times 7 = 28$ hours.\n\n4. **Total for the week:**\n Total = Monday + (Tuesday + Wednesday) + (Thursday + Friday + Saturday + Sunday)\n Total = $8 + 12 + 28$\n Total = $20 + 28 = 48$ hours.\n\nAnswer: 48", "usage": {"prompt_tokens": 90, "total_tokens": 376, "completion_tokens": 286, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303612.984, "t1": 1793303653.587, "s": 40.6} +{"seq": 125, "idx": 124, "ok": true, "gold": "10", "reply": "To find out how many letters were in the pile of already-stamped letters when Jennie began, we can follow these steps:\n\n1. **Identify the initial number of letters needing stamps:**\n Jennie starts with 60 letters that need stamps.\n\n2. **Calculate how many letters Jennie stamped:**\n She stamps one-third of the letters needing stamps.\n $\\text{Letters stamped} = \\frac{1}{3} \\times 60 = 20$ letters.\n\n3. **Determine the total number of stamped letters after Jennie's work:**\n After stamping 20 letters, the total number of already-stamped letters is 30.\n\n4. **Calculate the initial number of stamped letters:**\n Let $x$ be the number of letters in the stamped pile when Jennie began.\n The number of stamped letters after Jennie's work is the initial number plus the letters she just stamped:\n $x + 20 = 30$\n\n5. **Solve for $x$:**\n $x = 30 - 20$\n $x = 10$\n\nThere were 10 letters in the pile of already-stamped letters when Jennie began.\n\nAnswer: 10", "usage": {"prompt_tokens": 101, "total_tokens": 377, "completion_tokens": 276, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303616.986, "t1": 1793303656.196, "s": 39.21} +{"seq": 126, "idx": 130, "ok": true, "gold": "30", "reply": "To find out how many elves are left, we follow the steps of the problem:\n\n1. **Initial number of elves:** 60\n2. **First group quits:** A third of the elves quit.\n $\\frac{1}{3} \\times 60 = 20$ elves quit.\n3. **Remaining elves after the first group quits:**\n $60 - 20 = 40$ elves remaining.\n4. **Second group quits:** 10 of the remaining elves quit.\n $40 - 10 = 30$ elves remaining.\n\nThere are 30 elves left.\n\nAnswer: 30", "usage": {"prompt_tokens": 83, "total_tokens": 232, "completion_tokens": 149, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303635.994, "t1": 1793303657.157, "s": 21.16} +{"seq": 127, "idx": 131, "ok": true, "gold": "940", "reply": "To find the total expenditure for May and June, we follow these steps:\n\n1. **Identify the expenditure for May:**\n Joseph's expenditure in May was $500.\n\n2. **Calculate the expenditure for June:**\n The problem states that in June, his expenditure was $60 less than in May.\n Expenditure in June = Expenditure in May - $60\n Expenditure in June = $500 - $60 = $440.\n\n3. **Calculate the total expenditure for both months:**\n Total expenditure = Expenditure in May + Expenditure in June\n Total expenditure = $500 + $440 = $940.\n\nAnswer: 940", "usage": {"prompt_tokens": 63, "total_tokens": 222, "completion_tokens": 159, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303637.495, "t1": 1793303660.118, "s": 22.62} +{"seq": 128, "idx": 125, "ok": true, "gold": "10", "reply": "To find the number of spoons in the package Julia bought, we can set up an equation based on the information provided.\n\n1. **Identify the variables and known values:**\n * Let $x$ be the number of spoons in the package Julia bought.\n * The number of spoons her husband gave her is $5$.\n * The number of spoons Julia used to sample the stew is $3$.\n * The final total number of spoons is $12$.\n\n2. **Set up the equation:**\n The total number of spoons is the sum of the spoons Julia bought and the spoons her husband gave her, minus the spoons she used.\n $$x + 5 - 3 = 12$$\n\n3. **Solve the equation:**\n * Simplify the left side:\n $$x + 2 = 12$$\n * Subtract 2 from both sides to isolate $x$:\n $$x = 12 - 2$$\n $$x = 10$$\n\n4. **Verify the result:**\n If Julia bought 10 spoons and her husband gave her 5, she had $10 + 5 = 15$ spoons. After using 3 spoons to sample the stew, she had $15 - 3 = 12$ spoons. This matches the total given in the problem.\n\nAnswer: 10", "usage": {"prompt_tokens": 139, "total_tokens": 445, "completion_tokens": 306, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303621.987, "t1": 1793303665.733, "s": 43.75} +{"seq": 129, "idx": 136, "ok": true, "gold": "6", "reply": "To find the number of female Scottish unicorns, follow these steps:\n\n1. **Find the total number of unicorns in the Scottish Highlands:**\n The problem states that one third of the 27 unicorns are in the Scottish Highlands.\n $27 \\times \\frac{1}{3} = 9$ unicorns.\n\n2. **Find the number of female unicorns among the Scottish unicorns:**\n The problem states that two thirds of the Scottish unicorns are female.\n $9 \\times \\frac{2}{3} = 6$ unicorns.\n\nThere are 6 female Scottish unicorns.\n\nAnswer: 6", "usage": {"prompt_tokens": 70, "total_tokens": 204, "completion_tokens": 134, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303647.0, "t1": 1793303666.375, "s": 19.37} +{"seq": 130, "idx": 133, "ok": true, "gold": "13", "reply": "To find out how many miles Walt walked on Wednesday, we can follow these steps:\n\n1. **Calculate the miles walked on Monday:**\n Walt walked 4 miles on Monday.\n\n2. **Calculate the miles walked on Tuesday:**\n He walked 6 times as many miles as he walked on Monday.\n $6 \\times 4 = 24$ miles.\n\n3. **Calculate the total miles walked on Monday and Tuesday combined:**\n $4 \\text{ (Monday)} + 24 \\text{ (Tuesday)} = 28$ miles.\n\n4. **Calculate the miles walked on Wednesday:**\n We know the total mileage for Monday through Wednesday was 41 miles. To find Wednesday's mileage, subtract the sum of Monday and Tuesday from the total.\n $41 \\text{ (Total)} - 28 \\text{ (Monday + Tuesday)} = 13$ miles.\n\nAnswer: 13", "usage": {"prompt_tokens": 75, "total_tokens": 284, "completion_tokens": 209, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303638.496, "t1": 1793303668.355, "s": 29.86} +{"seq": 131, "idx": 135, "ok": true, "gold": "40", "reply": "To find out how many video games Bobby has, we need to follow the steps based on the information provided:\n\n1. **Determine Brian's current number of video games:**\n Brian originally had 20 video games, but he lost 5 right before the comparison.\n $20 - 5 = 15$\n So, Brian currently has 15 video games.\n\n2. **Calculate \"3 times as many\" as Brian's current amount:**\n The problem states Bobby has a certain amount relative to 3 times Brian's amount.\n $3 \\times 15 = 45$\n\n3. **Calculate Bobby's total based on the \"5 fewer\" condition:**\n Bobby has 5 fewer than that amount (45).\n $45 - 5 = 40$\n\nBobby has 40 video games.\n\nAnswer: 40", "usage": {"prompt_tokens": 76, "total_tokens": 275, "completion_tokens": 199, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303643.499, "t1": 1793303672.08, "s": 28.58} +{"seq": 132, "idx": 132, "ok": true, "gold": "60", "reply": "To find the total number of tickets used, we need to calculate the total number of rides taken by both Pam and Fred and then multiply that by the cost per ride.\n\n**Step 1: Calculate the total number of roller coaster rides.**\n- Pam rode the roller coaster 2 times.\n- Fred rode the roller coaster 4 times.\n- Total roller coaster rides = $2 + 4 = 6$ rides.\n\n**Step 2: Calculate the total number of luge rides.**\n- Each of them (Pam and Fred) rode the luge 2 times.\n- Total luge rides = $2 \\text{ (Pam)} + 2 \\text{ (Fred)} = 4$ rides.\n\n**Step 3: Calculate the total number of rides combined.**\n- Total rides = $6 \\text{ (roller coaster)} + 4 \\text{ (luge)} = 10$ rides.\n\n**Step 4: Calculate the total cost in tickets.**\n- Each ride costs 6 tickets.\n- Total tickets = $10 \\text{ rides} \\times 6 \\text{ tickets/ride} = 60$ tickets.\n\nAnswer: 60", "usage": {"prompt_tokens": 86, "total_tokens": 343, "completion_tokens": 257, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303637.996, "t1": 1793303674.652, "s": 36.66} +{"seq": 133, "idx": 134, "ok": true, "gold": "720", "reply": "To find out how much Tom pays in a year, we can follow these steps:\n\n1. **Calculate the monthly cost:**\n Tom gets 4 car washes per month, and each wash costs $15.\n $4 \\text{ washes} \\times \\$15/\\text{wash} = \\$60 \\text{ per month}$\n\n2. **Calculate the yearly cost:**\n There are 12 months in a year.\n $\\$60 \\text{ per month} \\times 12 \\text{ months} = \\$720 \\text{ per year}$\n\nAlternatively, you can calculate the total number of washes in a year first:\n1. **Total washes per year:** $4 \\text{ washes/month} \\times 12 \\text{ months} = 48 \\text{ washes}$\n2. **Total cost per year:** $48 \\text{ washes} \\times \\$15/\\text{wash} = \\$720$\n\nAnswer: 720", "usage": {"prompt_tokens": 56, "total_tokens": 281, "completion_tokens": 225, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303643.498, "t1": 1793303675.875, "s": 32.38} +{"seq": 134, "idx": 128, "ok": true, "gold": "880", "reply": "To find the total amount Dillon spends, we first need to determine the cost of each individual item based on the price of a pepper.\n\n1. **Find the cost of a pepper:**\n The problem states that each pepper costs $15.\n Cost of 1 pepper = $15\n\n2. **Find the cost of a watermelon:**\n A watermelon costs three times what each pepper costs.\n Cost of 1 watermelon = $15 * 3 = $45\n\n3. **Find the cost of an orange:**\n An orange costs $5 less than what a watermelon costs.\n Cost of 1 orange = $45 - $5 = $40\n\n4. **Calculate the total cost for each type of fruit:**\n * **Watermelons:** Dillon buys 4 watermelons.\n Total for watermelons = 4 * $45 = $180\n * **Peppers:** Dillon buys 20 peppers.\n Total for peppers = 20 * $15 = $300\n * **Oranges:** Dillon buys 10 oranges.\n Total for oranges = 10 * $40 = $400\n\n5. **Calculate the grand total:**\n Total amount = $180 (watermelons) + $300 (peppers) + $400 (oranges)\n Total amount = $880\n\nAnswer: 880", "usage": {"prompt_tokens": 113, "total_tokens": 438, "completion_tokens": 325, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303629.491, "t1": 1793303676.008, "s": 46.52} +{"seq": 135, "idx": 93, "ok": true, "gold": "36", "reply": "To find out how fast Gerald can run the 400-meter hurdles with his improved diet, we follow these steps:\n\n1. **Determine Lee's time:**\n Lee's time is given as $T_L = 38$ seconds.\n\n2. **Determine Gerald's original time:**\n We are told that Lee used to run the hurdles two seconds faster than Gerald. This means Lee's time was 2 seconds less than Gerald's original time ($T_{G\\_old}$).\n $T_L = T_{G\\_old} - 2$\n $38 = T_{G\\_old} - 2$\n $T_{G\\_old} = 38 + 2 = 40$ seconds.\n\n3. **Calculate Gerald's improved speed:**\n Gerald's speed improved by 10%. Speed is defined as distance divided by time ($v = d/t$).\n Let $d = 400$ meters.\n Gerald's original speed: $v_{old} = \\frac{400}{40} = 10$ m/s.\n Gerald's new speed: $v_{new} = v_{old} \\times (1 + 0.10) = 10 \\times 1.1 = 11$ m/s.\n\n4. **Calculate Gerald's new time:**\n Using the new speed, we find the new time ($T_{G\\_new}$):\n $T_{G\\_new} = \\frac{d}{v_{new}}$\n $T_{G\\_new} = \\frac{400}{11}$\n\n5. **Perform the division:**\n $400 \\div 11 = 36.3636...$\n\nAlternatively, we can use the relationship between speed and time. Since speed and time are inversely proportional ($t \\propto 1/v$), if speed increases by a factor of $1.1$, the time decreases by a factor of $1/1.1$.\n$T_{G\\_new} = \\frac{T_{G\\_old}}{1.1}$\n$T_{G\\_new} = \\frac{40}{1.1} = \\frac{400}{11}$\n$T_{G\\_new} = 36.\\overline{36}$\n\nThe question asks how fast Gerald can run the hurdles in seconds. Usually, in such problems, the fraction or the repeating decimal is the expected answer.\n\nAnswer: 36.3636363636... (or 400/11)\n\nWait, let's re-read to see if a specific rounding is required. It is not. Let's provide the fraction or the decimal. Most math problems of this type accept the fraction.\n\n$400/11 = 36.\\overline{36}$\n\nAnswer: 36.3636363636... (or 400/11)\n\nActually, looking at the prompt style, a decimal or fraction is standard. Let's provide the decimal representation.\n\nAnswer: 36.3636363636... (or 400/11)\n\nWait, let's re-calculate $40/1.1$.\n$40 / (11/10) = 400/11 = 36.3636...$\n\nAnswer: 36.3636363636... (or 400/11)\n\nLet's check if \"improved his speed by 10%\" could mean his time decreased by 10%. Usually, \"speed\" refers to $v$, not $t$. If his speed increases by 10%, $v_{new} = 1.1 v_{old}$.\n\nAnswer: 36.3636363636... (or 400/11)\n\nFinal check:\nLee = 38\nGerald old = 40\nGerald speed old = 400/40 = 10\nGerald speed new = 10 * 1.1 = 11\nGerald time new = 400/11 = 36.3636...\n\nAnswer: 36.3636363636... (or 400/11)\n\nSince I must provide a single number, I will provide the fraction or the decimal. Let's use the decimal form.\n\nAnswer: 36", "usage": {"prompt_tokens": 117, "total_tokens": 1141, "completion_tokens": 1024, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303534.448, "t1": 1793303678.978, "s": 144.53} +{"seq": 136, "idx": 142, "ok": true, "gold": "140", "reply": "To find out how much money Jordan would earn, we need to calculate the total number of hours he spends playing video games in one week and then multiply that by his hourly wage.\n\n1. **Calculate the total video game hours per week:**\n Jordan plays for 2 hours every day.\n There are 7 days in a week.\n $2 \\text{ hours/day} \\times 7 \\text{ days/week} = 14 \\text{ hours/week}$.\n\n2. **Calculate the total earnings if those hours were spent working:**\n Jordan earns $10 per hour.\n $14 \\text{ hours} \\times \\$10/\\text{hour} = \\$140$.\n\nJordan would earn $140 in one week.\n\nAnswer: 140", "usage": {"prompt_tokens": 76, "total_tokens": 253, "completion_tokens": 177, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303660.507, "t1": 1793303685.675, "s": 25.17} +{"seq": 137, "idx": 129, "ok": true, "gold": "10000", "reply": "To find the total profit the hospital makes from these visits, we need to calculate the total revenue and the total cost.\n\n**1. Calculate the total number of minutes and hours spent on patients per day:**\n* Number of patients per day: $500$\n* Average time per patient: $24$ minutes\n* Total minutes per day: $500 \\times 24 = 12,000$ minutes\n* Total hours per day: $12,000 \\div 60 = 200$ hours\n\n**2. Calculate the total revenue (what the hospital charges the patients):**\n* The hospital charges patients $\\$200$ per hour.\n* Total revenue = $200 \\text{ hours} \\times \\$200/\\text{hour} = \\$40,000$\n\n**3. Calculate the total cost (what the hospital pays the doctors):**\n* The doctors charge the hospital $\\$150$ per hour.\n* Total cost = $200 \\text{ hours} \\times \\$150/\\text{hour} = \\$30,000$\n\n**4. Calculate the total profit:**\n* Profit = Total Revenue - Total Cost\n* Profit = $\\$40,000 - \\$30,000 = \\$10,000$\n\nAlternatively, you can calculate the profit per hour:\n* Profit per hour = $\\$200 - \\$150 = \\$50$\n* Total profit = $200 \\text{ hours} \\times \\$50/\\text{hour} = \\$10,000$\n\nAnswer: 10000", "usage": {"prompt_tokens": 92, "total_tokens": 474, "completion_tokens": 382, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303631.993, "t1": 1793303686.344, "s": 54.35} +{"seq": 138, "idx": 139, "ok": true, "gold": "70", "reply": "To find the number of pink gumballs, we can follow these steps:\n\n1. **Identify the number of blue gumballs:**\n The problem states there are 12 blue gumballs.\n\n2. **Translate the relationship into a mathematical expression:**\n The problem states the number of pink gumballs is \"22 more than four times the number of blue gumballs.\"\n Let $B$ be the number of blue gumballs and $P$ be the number of pink gumballs.\n The relationship is: $P = 4B + 22$\n\n3. **Substitute the known value into the expression:**\n Substitute $B = 12$ into the equation:\n $P = 4(12) + 22$\n\n4. **Perform the calculations:**\n First, multiply 4 by 12:\n $4 \\times 12 = 48$\n Next, add 22 to the result:\n $48 + 22 = 70$\n\nThere are 70 pink gumballs.\n\nAnswer: 70", "usage": {"prompt_tokens": 75, "total_tokens": 327, "completion_tokens": 252, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303654.004, "t1": 1793303690.224, "s": 36.22} +{"seq": 139, "idx": 140, "ok": true, "gold": "20", "reply": "To find the percentage of cars that are semi-automatic, follow these steps:\n\n1. **Identify the total number of cars:**\n Total cars = 20\n\n2. **Identify the number of automatic and manual cars:**\n Automatic cars = 12\n Manual cars = 4\n\n3. **Calculate the number of semi-automatic cars:**\n The problem states the rest are semi-automatic.\n Semi-automatic cars = Total cars - (Automatic cars + Manual cars)\n Semi-automatic cars = 20 - (12 + 4)\n Semi-automatic cars = 20 - 16\n Semi-automatic cars = 4\n\n4. **Calculate the percentage of semi-automatic cars:**\n To find the percentage, divide the number of semi-automatic cars by the total number of cars and multiply by 100.\n Percentage = $\\left( \\frac{\\text{Semi-automatic cars}}{\\text{Total cars}} \\right) \\times 100$\n Percentage = $\\left( \\frac{4}{20} \\right) \\times 100$\n Percentage = $0.2 \\times 100$\n Percentage = 20%\n\nAnswer: 20", "usage": {"prompt_tokens": 70, "total_tokens": 349, "completion_tokens": 279, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303656.505, "t1": 1793303696.427, "s": 39.92} +{"seq": 140, "idx": 137, "ok": true, "gold": "29", "reply": "To find the total cost of Rory's delivery order, we need to calculate the subtotal, the delivery fee, and then add the tip.\n\n**Step 1: Calculate the subtotal of the food items.**\n* 2 subs at $7.50 each: $2 \\times 7.50 = \\$15.00$\n* 2 bags of chips at $1.50 each: $2 \\times 1.50 = \\$3.00$\n* 2 cookies at $1.00 each: $2 \\times 1.00 = \\$2.00$\n\nSubtotal = $\\$15.00 + \\$3.00 + \\$2.00 = \\$20.00$\n\n**Step 2: Calculate the 20% delivery fee.**\nThe delivery fee is 20% of the subtotal ($20.00).\n* Delivery fee = $0.20 \\times \\$20.00 = \\$4.00$\n\n**Step 3: Calculate the total cost including the delivery fee and the tip.**\nThe total cost is the subtotal + delivery fee + tip.\n* Subtotal: $20.00\n* Delivery fee: $4.00\n* Tip: $5.00\n\nTotal cost = $\\$20.00 + \\$4.00 + \\$5.00 = \\$29.00$\n\nAnswer: 29.00", "usage": {"prompt_tokens": 105, "total_tokens": 436, "completion_tokens": 331, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303650.002, "t1": 1793303697.311, "s": 47.31} +{"seq": 141, "idx": 138, "ok": true, "gold": "105", "reply": "To find out how many questions Mark left incomplete, we need to calculate how many questions he completed in each test and subtract that from the total number of questions in each test.\n\n**Step 1: Calculate questions completed in the first test.**\n- Total questions in the first test: 75\n- Rate of completion: 5 questions per hour\n- Time spent on the first test: 8 hours\n- Questions completed = Rate $\\times$ Time = $5 \\text{ questions/hour} \\times 8 \\text{ hours} = 40 \\text{ questions}$.\n- Questions left incomplete in the first test = $75 - 40 = 35 \\text{ questions}$.\n\n**Step 2: Calculate questions completed in the second test.**\n- Total questions in the second test: 100\n- Rate of completion: 5 questions per hour\n- Time spent on the second test: 6 hours\n- Questions completed = Rate $\\times$ Time = $5 \\text{ questions/hour} \\times 6 \\text{ hours} = 30 \\text{ questions}$.\n- Questions left incomplete in the second test = $100 - 30 = 70 \\text{ questions}$.\n\n**Step 3: Calculate the total number of incomplete questions.**\n- Total incomplete = (Incomplete from test 1) + (Incomplete from test 2)\n- Total incomplete = $35 + 70 = 105 \\text{ questions}$.\n\nAnswer: 105", "usage": {"prompt_tokens": 102, "total_tokens": 431, "completion_tokens": 329, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303651.503, "t1": 1793303698.534, "s": 47.03} +{"seq": 142, "idx": 145, "ok": true, "gold": "4000", "reply": "To find the total number of pineapples John can harvest within a year, we follow these steps:\n\n1. **Calculate the total number of pineapples per harvest:**\n John has 10 hectares of land, and each hectare produces 100 pineapples.\n Total pineapples per harvest = $10 \\text{ hectares} \\times 100 \\text{ pineapples/hectare} = 1,000 \\text{ pineapples}$.\n\n2. **Calculate the number of harvests in a year:**\n There are 12 months in a year. John harvests every 3 months.\n Number of harvests per year = $12 \\text{ months} \\div 3 \\text{ months/harvest} = 4 \\text{ harvests}$.\n\n3. **Calculate the total number of pineapples harvested in a year:**\n Total pineapples per year = $\\text{Pineapples per harvest} \\times \\text{Number of harvests per year}$\n Total pineapples per year = $1,000 \\times 4 = 4,000 \\text{ pineapples}$.\n\nAnswer: 4000", "usage": {"prompt_tokens": 73, "total_tokens": 326, "completion_tokens": 253, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303668.51, "t1": 1793303704.091, "s": 35.58} +{"seq": 143, "idx": 143, "ok": true, "gold": "16", "reply": "To find the total cost, we first need to categorize the items into \"food\" and \"non-food\" items to apply the tax correctly.\n\n**1. Identify Food and Non-food items:**\n* **Milk:** $2 (Food)\n* **Eggs:** $3 (Food)\n* **Light bulbs:** $3 (Non-food)\n* **Cups:** $3 (Non-food)\n* **Roach traps:** $4 (Non-food)\n\n**2. Calculate the cost of food items:**\nTotal Food = $2 (Milk) + $3 (Eggs) = $5\n\n**3. Calculate the cost of non-food items before tax:**\nTotal Non-food (pre-tax) = $3 (Light bulbs) + $3 (Cups) + $4 (Roach traps) = $10\n\n**4. Calculate the tax on non-food items:**\nTax rate = 10%\nTax amount = 10% of $10 = 0.10 * $10 = $1\n\n**5. Calculate the total cost:**\nTotal Cost = Total Food + Total Non-food (pre-tax) + Tax\nTotal Cost = $5 + $10 + $1 = $16\n\nAnswer: 16", "usage": {"prompt_tokens": 86, "total_tokens": 368, "completion_tokens": 282, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303666.009, "t1": 1793303705.972, "s": 39.96} +{"seq": 144, "idx": 148, "ok": true, "gold": "30", "reply": "To find out how much money Brittany's mom gave the cashier, we need to calculate the total cost of the tickets and then add the change she received.\n\n1. **Identify the cost of the tickets:**\n * The cost of an adult ticket is $12.\n * The cost of a child ticket is $10.\n\n2. **Calculate the total cost of the tickets:**\n * Total cost = Cost of 1 adult ticket + Cost of 1 child ticket\n * Total cost = $12 + $10 = $22.\n\n3. **Calculate the total amount given to the cashier:**\n * The mom received $8 in change. This means the amount she gave the cashier was the total cost of the tickets plus the change she received back.\n * Total money given = Total cost + Change received\n * Total money given = $22 + $8 = $30.\n\nAnswer: 30", "usage": {"prompt_tokens": 96, "total_tokens": 309, "completion_tokens": 213, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303676.014, "t1": 1793303705.972, "s": 29.96} +{"seq": 145, "idx": 146, "ok": true, "gold": "2125", "reply": "To find the total number of Lego pieces Johnny picks up, we need to calculate the number of pieces in each of the three sets and then sum them up.\n\n1. **First set:** The problem states the first set has **500 pieces**.\n\n2. **Second set:** This set has 3 times more pieces than the 500-piece set.\n $500 \\times 3 = 1500$ pieces.\n\n3. **Third set:** This set has 1/4 the number of pieces as the first set (the wording \"another one that had 1/4 the number of pieces\" refers back to the original 500-piece set).\n $500 \\times \\frac{1}{4} = 125$ pieces.\n\n4. **Total pieces:** Now, add the pieces from all three sets together:\n $500 + 1500 + 125 = 2125$\n\nJohnny picks up a total of 2125 blocks.\n\nAnswer: 2125", "usage": {"prompt_tokens": 111, "total_tokens": 351, "completion_tokens": 240, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303672.511, "t1": 1793303706.546, "s": 34.03} +{"seq": 146, "idx": 149, "ok": true, "gold": "16", "reply": "To find out how many Facebook friends James has, we can follow these steps:\n\n1. **Identify the number of friends Charlie has:**\n Charlie has 12 friends.\n\n2. **Determine the number of friends Dorothy has:**\n We are told that Charlie has three times as many friends as Dorothy.\n Let $D$ be the number of Dorothy's friends.\n $3 \\times D = 12$\n $D = 12 / 3$\n $D = 4$\n So, Dorothy has 4 friends.\n\n3. **Determine the number of friends James has:**\n We are told that James has four times as many friends as Dorothy.\n Let $J$ be the number of James's friends.\n $J = 4 \\times D$\n $J = 4 \\times 4$\n $J = 16$\n\nJames has 16 Facebook friends.\n\nAnswer: 16", "usage": {"prompt_tokens": 70, "total_tokens": 286, "completion_tokens": 216, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303676.014, "t1": 1793303706.546, "s": 30.53} +{"seq": 147, "idx": 144, "ok": true, "gold": "20", "reply": "To find the profit, we first need to determine the total number of clients, then calculate the total expenses, and finally subtract the expenses from the total income.\n\n1. **Determine the total number of clients:**\n Kim has 3 existing clients and 5 potential clients.\n Total clients = $3 + 5 = 8$ clients.\n\n2. **Calculate the cost per client:**\n Each client requires 2 bottles of bleach and 1 pack of cloths.\n Cost of bleach per client = $2 \\text{ bottles} \\times \\$2/\\text{bottle} = \\$4$.\n Cost of cloths per client = $1 \\text{ pack} \\times \\$5/\\text{pack} = \\$5$.\n Total expense per client = $\\$4 + \\$5 = \\$9$.\n\n3. **Calculate the total expenses for all clients:**\n Total expenses = $8 \\text{ clients} \\times \\$9/\\text{client} = \\$72$.\n\n4. **Calculate the total profit:**\n Profit = Total Income - Total Expenses.\n Total Income = $92.\n Total Expenses = $72.\n Profit = $\\$92 - \\$72 = \\$20$.\n\n(Note: The problem asks for the profit \"Lucas\" will make, but the character's name is Kim. Assuming this refers to the same person/business calculation.)\n\nAnswer: 20", "usage": {"prompt_tokens": 159, "total_tokens": 469, "completion_tokens": 310, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303666.509, "t1": 1793303710.44, "s": 43.93} +{"seq": 148, "idx": 141, "ok": true, "gold": "400", "reply": "To find the number of worker bees, we can set up an algebraic equation based on the relationships provided in the problem.\n\n1. **Define the variables:**\n Let $Q$ be the number of queens.\n Let $B$ be the number of baby bees.\n Let $W$ be the number of worker bees.\n\n2. **Set up the relationships based on the problem statement:**\n * \"There are twice as many babies as queens\": $B = 2Q$\n * \"There are twice as many worker bees as baby bees\": $W = 2B$\n * The total number of bees is 700: $W + B + Q = 700$\n\n3. **Express all variables in terms of $Q$:**\n * $B = 2Q$\n * $W = 2B = 2(2Q) = 4Q$\n\n4. **Substitute these into the total sum equation:**\n $4Q + 2Q + Q = 700$\n $7Q = 700$\n\n5. **Solve for $Q$:**\n $Q = 700 / 7$\n $Q = 100$\n\n6. **Calculate the number of worker bees ($W$):**\n Since $W = 4Q$:\n $W = 4 \\times 100$\n $W = 400$\n\n**Verification:**\nQueens ($Q$) = 100\nBabies ($B$) = 2 * 100 = 200\nWorkers ($W$) = 2 * 200 = 400\nTotal = 100 + 200 + 400 = 700. The values are correct.\n\nAnswer: 400", "usage": {"prompt_tokens": 69, "total_tokens": 486, "completion_tokens": 417, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303657.506, "t1": 1793303716.63, "s": 59.12} +{"seq": 149, "idx": 152, "ok": true, "gold": "4", "reply": "To find out how much change Carl receives, we need to calculate the total cost of the cookies and subtract it from the amount he paid.\n\n1. **Calculate the total number of cookies:**\n Carl buys 10 packs, and each pack has 6 cookies.\n Total cookies = $10 \\text{ packs} \\times 6 \\text{ cookies/pack} = 60 \\text{ cookies}$.\n\n2. **Calculate the total cost of the cookies:**\n Each cookie costs $0.10.\n Total cost = $60 \\text{ cookies} \\times \\$0.10/\\text{cookie} = \\$6.00$.\n\n3. **Calculate the change received:**\n Carl pays with a $10 bill.\n Change = $\\text{Amount paid} - \\text{Total cost}$\n Change = $\\$10.00 - \\$6.00 = \\$4.00$.\n\nAnswer: 4.00", "usage": {"prompt_tokens": 70, "total_tokens": 286, "completion_tokens": 216, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303686.519, "t1": 1793303716.894, "s": 30.37} +{"seq": 150, "idx": 150, "ok": true, "gold": "4", "reply": "To find out how long the winner will be waiting, we need to calculate the time it takes for both Steve and Tim to get home.\n\n**1. Convert distances from miles to feet:**\nThere are 5,280 feet in one mile.\n* Steve's distance: $3 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 15,840 \\text{ feet}$\n* Tim's distance: $2 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 10,560 \\text{ feet}$\n\n**2. Calculate the time taken by each person:**\nTime is calculated as $\\text{Distance} \\div \\text{Speed}$.\n* Steve's time: $15,840 \\text{ feet} \\div 440 \\text{ feet/minute} = 36 \\text{ minutes}$\n* Tim's time: $10,560 \\text{ feet} \\div 264 \\text{ feet/minute} = 40 \\text{ minutes}$\n\n**3. Determine the winner and the waiting time:**\n* Steve finishes in 36 minutes.\n* Tim finishes in 40 minutes.\nSteve is the winner because he takes less time.\nThe waiting time is the difference between their times:\n$40 \\text{ minutes} - 36 \\text{ minutes} = 4 \\text{ minutes}$\n\nAnswer: 4", "usage": {"prompt_tokens": 122, "total_tokens": 462, "completion_tokens": 340, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303679.016, "t1": 1793303726.517, "s": 47.5} +{"seq": 151, "idx": 156, "ok": true, "gold": "1400", "reply": "To find the total number of bananas needed for 2 months, we first calculate the total number of bananas needed by all the apes in a single month.\n\n1. **Calculate the monthly consumption for each type of ape:**\n * Monkeys: 200 bananas/month\n * Gorillas: 400 bananas/month\n * Baboons: 100 bananas/month\n\n2. **Calculate the total monthly consumption:**\n Total per month = 200 (monkeys) + 400 (gorillas) + 100 (baboons) = 700 bananas/month\n\n3. **Calculate the total consumption for 2 months:**\n Since the zookeeper orders bananas every 2 months, we multiply the monthly total by 2:\n Total for 2 months = 700 bananas/month \u00d7 2 months = 1,400 bananas\n\nAnswer: 1400", "usage": {"prompt_tokens": 101, "total_tokens": 312, "completion_tokens": 211, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303699.024, "t1": 1793303728.406, "s": 29.38} +{"seq": 152, "idx": 151, "ok": true, "gold": "5", "reply": "To find out how much money Shawnda made, we need to calculate the total number of tires inflated and then multiply that by the cost per tire.\n\n1. **Calculate the number of tires for each group:**\n * **Bicycles:** 5 people came by with bicycles. A bicycle has 2 tires.\n $5 \\text{ people} \\times 2 \\text{ tires/person} = 10 \\text{ tires}$\n * **Tricycles:** 3 people came by with tricycles. A tricycle has 3 tires.\n $3 \\text{ people} \\times 3 \\text{ tires/person} = 9 \\text{ tires}$\n * **Unicycle:** 1 person came by with a unicycle. A unicycle has 1 tire.\n $1 \\text{ person} \\times 1 \\text{ tire/person} = 1 \\text{ tire}$\n\n2. **Calculate the total number of tires:**\n $10 + 9 + 1 = 20 \\text{ tires}$\n\n3. **Calculate the total cost in cents:**\n Each tire costs 25 cents.\n $20 \\text{ tires} \\times 25 \\text{ cents/tire} = 500 \\text{ cents}$\n\n4. **Convert the total cost to dollars:**\n There are 100 cents in a dollar.\n $500 \\text{ cents} \\div 100 = 5 \\text{ dollars}$\n\nAnswer: 5", "usage": {"prompt_tokens": 118, "total_tokens": 463, "completion_tokens": 345, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303686.018, "t1": 1793303734.244, "s": 48.23} +{"seq": 153, "idx": 158, "ok": true, "gold": "34", "reply": "To find the total amount Raphael spent, we need to calculate the cost of each item and then add them together.\n\n1. **Calculate the cost of the pens:**\n Raphael bought 4 pens at $1.5 each.\n $4 \\times \\$1.5 = \\$6.0$\n\n2. **Calculate the cost of the notebooks:**\n Raphael bought 2 notebooks at $4 each.\n $2 \\times \\$4 = \\$8.0$\n\n3. **Identify the cost of the bond paper:**\n The rim of bond paper cost $20.\n\n4. **Calculate the total amount spent:**\n Total = (Cost of pens) + (Cost of notebooks) + (Cost of bond paper)\n Total = $\\$6 + \\$8 + \\$20$\n Total = $\\$14 + \\$20$\n Total = $\\$34$\n\nRaphael spent $34 in total.\n\nAnswer: 34", "usage": {"prompt_tokens": 80, "total_tokens": 294, "completion_tokens": 214, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303706.027, "t1": 1793303735.773, "s": 29.75} +{"seq": 154, "idx": 160, "ok": true, "gold": "16", "reply": "To find the water depth on Wednesday, we follow the changes day by day:\n\n1. **Monday:** The depth of the water is **17 feet**.\n2. **Tuesday:** The tank had 7 feet more water than on Monday.\n $$\\text{Tuesday's depth} = 17\\text{ feet} + 7\\text{ feet} = 24\\text{ feet}$$\n3. **Wednesday:** The depth is two-thirds of what it was on Tuesday.\n $$\\text{Wednesday's depth} = \\frac{2}{3} \\times 24\\text{ feet}$$\n $$\\text{Wednesday's depth} = 2 \\times \\frac{24}{3}$$\n $$\\text{Wednesday's depth} = 2 \\times 8 = 16\\text{ feet}$$\n\nThe tank's water depth on Wednesday is 16 feet.\n\nAnswer: 16", "usage": {"prompt_tokens": 85, "total_tokens": 293, "completion_tokens": 208, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303707.028, "t1": 1793303735.774, "s": 28.75} +{"seq": 155, "idx": 147, "ok": false, "gold": "75", "reply": "To find out how many bees returned to the hive in the last 6 hours, we need to track the number of bees that left and the number of bees that returned in each time interval.\n\n**1. First 6 hours:**\n* Bees leaving: 30\n* Bees returning: 0\n* Current status: 30 bees are out of the hive.\n\n**2. Next 6 hours (Hours 7-12):**\n* Bees returning: $1/2$ of the number that left first = $\\frac{1}{2} \\times 30 = 15$ bees.\n* Current status: 30 (left) - 15 (returned) = 15 bees are still out of the hive.\n\n**3. Next 6 hours (Hours 13-18):**\n* Bees leaving: Two times the number that left first = $2 \\times 30 = 60$ bees.\n* Current status: 15 (already out) + 60 (newly left) = 75 bees are out of the hive.\n\n**4. Last 6 hours (Hours 19-24):**\n* The problem states: \"Every bee that left before that hadn't already returned returns to the hive.\"\n* We need to identify which bees \"left before that\" (before the 13-18 hour interval) and \"hadn't already returned.\"\n* Total bees that left before the 13-18 hour interval: 30 (from the first 6 hours).\n* Bees from that group that had already returned: 15 (from the 7-12 hour interval).\n* Bees from that group that had **not** yet returned: $30 - 15 = 15$ bees.\n\nThe question asks how many bees Debra saw return to the hive in the last 6 hours. According to the rule, these are the bees that left previously and hadn't returned yet.\n\nNumber of bees returning in the last 6 hours = 15.\n\nAnswer: 15", "usage": {"prompt_tokens": 153, "total_tokens": 627, "completion_tokens": 474, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303675.013, "t1": 1793303741.19, "s": 66.18} +{"seq": 156, "idx": 155, "ok": true, "gold": "280", "reply": "To find the total length of all the baked goods in feet, we need to calculate the length of each type of item and then sum them up.\n\n**1. Calculate the length of the rolls:**\n* Number of rolls: 300\n* Length of each roll: 4 inches\n* Total length in inches: $300 \\times 4 = 1200$ inches\n* Convert to feet (12 inches = 1 foot): $1200 / 12 = 100$ feet\n\n**2. Calculate the length of the chocolate croissants:**\n* Number of croissants: 120\n* Length of each croissant: 6 inches\n* Total length in inches: $120 \\times 6 = 720$ inches\n* Convert to feet: $720 / 12 = 60$ feet\n\n**3. Calculate the length of the baguettes:**\n* Number of baguettes: 60\n* Length of each baguette: 2 feet\n* Total length in feet: $60 \\times 2 = 120$ feet\n\n**4. Calculate the total length:**\n* Total length = Length of rolls + Length of croissants + Length of baguettes\n* Total length = $100 \\text{ feet} + 60 \\text{ feet} + 120 \\text{ feet} = 280$ feet\n\nAnswer: 280", "usage": {"prompt_tokens": 97, "total_tokens": 425, "completion_tokens": 328, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303697.523, "t1": 1793303743.179, "s": 45.66} +{"seq": 157, "idx": 161, "ok": true, "gold": "32", "reply": "To find the total number of fish caught by Anakin and Locsin, we first list the number of creatures caught by each person.\n\n**Anakin's catches:**\n- Starfish: 10\n- Sea horses: 6\n- Clownfish: 3\nTotal for Anakin = $10 + 6 + 3 = 19$\n\n**Locsin's catches:**\n- Starfish: Anakin's starfish - 5 = $10 - 5 = 5$\n- Sea horses: Anakin's sea horses - 3 = $6 - 3 = 3$\n- Clownfish: Anakin's clownfish + 2 = $3 + 2 = 5$\nTotal for Locsin = $5 + 3 + 5 = 13$\n\n**Total fish caught:**\nTo find the total, we add Anakin's total and Locsin's total:\nTotal = $19 + 13 = 32$\n\nAlternatively, we can sum each type of creature:\n- Total Starfish: $10 + 5 = 15$\n- Total Sea horses: $6 + 3 = 9$\n- Total Clownfish: $3 + 5 = 8$\nTotal = $15 + 9 + 8 = 32$\n\nAnswer: 32", "usage": {"prompt_tokens": 95, "total_tokens": 388, "completion_tokens": 293, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303707.029, "t1": 1793303747.564, "s": 40.53} +{"seq": 158, "idx": 162, "ok": true, "gold": "92", "reply": "To find the cost of the bag of marbles after 36 months, we follow these steps:\n\n1. **Identify the initial cost and the rate of increase:**\n * Initial cost ($P$) = $20\n * Increase amount = 20% of the original price = $0.20 \\times 20 = \\$4$\n * The price increases by $4 every two months.\n\n2. **Determine the number of times the price increases:**\n * Total time = 36 months\n * Frequency of increase = every 2 months\n * Number of increases ($n$) = $\\frac{36 \\text{ months}}{2 \\text{ months/increase}} = 18$ increases.\n\n3. **Calculate the total increase over 36 months:**\n * Since the increase is based on the **original price** (simple increase, not compound), we multiply the amount of one increase by the number of increases.\n * Total increase = $18 \\times \\$4 = \\$72$\n\n4. **Calculate the final cost:**\n * Final cost = Initial cost + Total increase\n * Final cost = $\\$20 + \\$72 = \\$92$\n\nAnswer: 92", "usage": {"prompt_tokens": 69, "total_tokens": 351, "completion_tokens": 282, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303710.531, "t1": 1793303749.521, "s": 38.99} +{"seq": 159, "idx": 154, "ok": true, "gold": "272", "reply": "To find the total number of hours Kimo spends attending classes in one semester, we calculate the hours per week and then multiply by the number of weeks.\n\n**1. Calculate hours spent on Mondays, Wednesdays, and Fridays:**\nKimo has three 1-hour classes each of these days.\nHours per day = $3 \\times 1 = 3$ hours.\nDays per week = 3 (Monday, Wednesday, Friday).\nTotal hours for these days per week = $3 \\text{ days} \\times 3 \\text{ hours/day} = 9$ hours.\n\n**2. Calculate hours spent on Tuesdays and Thursdays:**\nKimo has two 2-hour classes each of these days.\nHours per day = $2 \\times 2 = 4$ hours.\nDays per week = 2 (Tuesday, Thursday).\nTotal hours for these days per week = $2 \\text{ days} \\times 4 \\text{ hours/day} = 8$ hours.\n\n**3. Calculate total hours per week:**\nTotal hours per week = $9 \\text{ hours} + 8 \\text{ hours} = 17$ hours.\n\n**4. Calculate total hours for the semester:**\nThe semester lasts 16 weeks.\nTotal hours = $17 \\text{ hours/week} \\times 16 \\text{ weeks}$.\n\nTo calculate $17 \\times 16$:\n$17 \\times 10 = 170$\n$17 \\times 6 = 102$\n$170 + 102 = 272$\n\nAlternatively:\n$16 \\times 16 = 256$\n$256 + 16 = 272$\n\nAnswer: 272", "usage": {"prompt_tokens": 98, "total_tokens": 492, "completion_tokens": 394, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303696.522, "t1": 1793303751.389, "s": 54.87} +{"seq": 160, "idx": 119, "ok": false, "gold": "95200", "reply": "To find the total salary Adrien and Lylah were receiving four years later, we follow these steps:\n\n**1. Determine Adrien's salary four years ago:**\nThe problem states that Adrien earned $40,000 four years ago.\n$A_{old} = \\$40,000$\n\n**2. Determine Lylah's salary four years ago:**\nWe are told that Adrien's total salary was 30% higher than Lylah's. Let $L_{old}$ be Lylah's salary four years ago.\n$A_{old} = L_{old} \\times (1 + 0.30)$\n$40,000 = 1.3 \\times L_{old}$\n$L_{old} = \\frac{40,000}{1.3} \\approx \\$30,769.23$\n\n**3. Determine Adrien's salary four years later:**\nAdrien's salary increased by 40% from what he was making four years ago.\n$A_{new} = A_{old} \\times (1 + 0.40)$\n$A_{new} = 40,000 \\times 1.4 = \\$56,000$\n\n**4. Determine Lylah's salary four years later:**\nThe problem states that \"Adrien's and Lylah's salary increased simultaneously.\" In the context of such problems, this implies they both received the same percentage increase. Since Adrien's salary increased by 40%, Lylah's salary also increased by 40%.\n$L_{new} = L_{old} \\times (1 + 0.40)$\n$L_{new} = \\frac{40,000}{1.3} \\times 1.4$\n$L_{new} = \\frac{56,000}{1.3} \\approx \\$43,076.92$\n\n**5. Calculate the total salary four years later:**\nTotal Salary $= A_{new} + L_{new}$\nTotal Salary $= 56,000 + \\frac{56,000}{1.3}$\nTotal Salary $= 56,000 + 43,076.923...$\nTotal Salary $= 56,000 \\times (1 + \\frac{1}{1.3})$\nTotal Salary $= 56,000 \\times (\\frac{1.3 + 1}{1.3})$\nTotal Salary $= 56,000 \\times \\frac{2.3}{1.3}$\nTotal Salary $= \\frac{128,800}{1.3}$\nTotal Salary $\\approx 99,076.92$\n\nWait, let's re-read to ensure \"increased simultaneously\" doesn't mean they increased by the same dollar amount. Usually, in these math problems, \"increased simultaneously\" refers to the timing, but the percentage increase is applied to both. However, if we look at the phrasing \"Adrien's and Lylah's salary increased simultaneously\", it might imply they both increased by the same percentage (40%). Let's check the calculation again.\n\n$A_{new} = 56,000$\n$L_{new} = \\frac{40,000}{1.3} \\times 1.4 = \\frac{56,000}{1.3} \\approx 43,076.92$\nTotal $= 56,000 + 43,076.92 = 99,076.92$\n\nIf the question implies Lylah's salary also increased by 30% (to maintain the ratio), the wording would be different. If \"increased simultaneously\" means they both increased by the same amount ($16,000), the total would be $40,000 + 30,769.23 + 16,000 + 16,000 = 102,769.23$. \n\nHowever, the most standard interpretation in these word problems is that the percentage increase applies to both. Let's re-calculate $56,000 + 56,000/1.3$:\n$56,000 \\times (1 + 1/1.3) = 56,000 \\times (2.3/1.3) = 128,8", "usage": {"prompt_tokens": 114, "total_tokens": 1138, "completion_tokens": 1024, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303607.48, "t1": 1793303751.897, "s": 144.42} +{"seq": 161, "idx": 153, "ok": true, "gold": "48", "reply": "To find the total number of french fries in the pack, we will work backward from the final amount.\n\n1. **The final amount left:**\n There were **5** fries left.\n\n2. **Before the ants:**\n The ants carried off one final fry, leaving 5.\n $5 + 1 = 6$ fries.\n\n3. **Before the raccoon:**\n The raccoon stole two-thirds of the remaining fries, leaving 6 fries.\n If 6 is the remaining one-third ($1 - 2/3 = 1/3$), then the total before the raccoon was:\n $6 \\times 3 = 18$ fries.\n\n4. **Before the pigeons:**\n Three pigeons each ate three fries.\n $3 \\text{ pigeons} \\times 3 \\text{ fries} = 9$ fries.\n $18 + 9 = 27$ fries.\n\n5. **Before the seagull:**\n The seagull ate half the amount that Dave ate. Dave ate 14 fries.\n Half of 14 is $14 / 2 = 7$ fries.\n $27 + 7 = 34$ fries.\n\n6. **Before Dave ate his portion:**\n Dave ate 14 fries.\n $34 + 14 = 48$ fries.\n\n**Verification:**\n- Start with 48.\n- Dave eats 14: $48 - 14 = 34$.\n- Seagull eats half of Dave's (7): $34 - 7 = 27$.\n- 3 pigeons eat 3 each (9): $27 - 9 = 18$.\n- Raccoon steals 2/3 of 18 (12): $18 - 12 = 6$.\n- Ants take 1: $6 - 1 = 5$.\nThe result matches the problem statement.\n\nAnswer: 48", "usage": {"prompt_tokens": 128, "total_tokens": 575, "completion_tokens": 447, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303690.521, "t1": 1793303752.971, "s": 62.45} +{"seq": 162, "idx": 168, "ok": true, "gold": "18", "reply": "To find out how much money Jimmy has, we can follow these steps:\n\n1. **Identify Ethel's amount:** The problem states that Ethel has $8.\n2. **Identify the relationship:** Jimmy has $2 more than twice the money Ethel has.\n3. **Set up the calculation:**\n * \"Twice the money Ethel has\" means $2 \\times \\$8 = \\$16$.\n * \"$2 more than\" that amount means $\\$16 + \\$2 = \\$18$.\n\nTherefore, Jimmy has $18.\n\nAnswer: 18", "usage": {"prompt_tokens": 55, "total_tokens": 184, "completion_tokens": 129, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303736.04, "t1": 1793303754.431, "s": 18.39} +{"seq": 163, "idx": 166, "ok": true, "gold": "5", "reply": "To find out how many times Sandra has to babysit, we need to calculate the total number of eggs required and then determine how many baskets of eggs she needs to receive.\n\n1. **Calculate the total number of eggs needed:**\n Sandra needs to make 15 Spanish flans.\n Each flan requires 3 eggs.\n Total eggs needed = $15 \\text{ flans} \\times 3 \\text{ eggs/flan} = 45 \\text{ eggs}$.\n\n2. **Calculate the number of times she needs to babysit:**\n Each time Sandra babysits, she receives a basket of 9 eggs.\n Number of babysitting sessions = $\\text{Total eggs needed} \\div \\text{Eggs per basket}$\n Number of babysitting sessions = $45 \\div 9 = 5$.\n\nSandra needs to babysit 5 times to get the 45 eggs required for the flans.\n\nAnswer: 5", "usage": {"prompt_tokens": 90, "total_tokens": 301, "completion_tokens": 211, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303728.537, "t1": 1793303758.203, "s": 29.67} +{"seq": 164, "idx": 163, "ok": true, "gold": "50", "reply": "To find the total value of all the toys, we need to calculate the cost of each type of toy and then sum them up.\n\n**1. Identify the cost of each individual toy:**\n* **Red car:** The problem states one red car costs $4.\n* **Action figure:** The problem states one action figure costs $5.\n* **Doll:** The problem states the doll costs as much as 3 action figures.\n * Cost of doll = $3 \\times (\\text{cost of one action figure})$\n * Cost of doll = $3 \\times \\$5 = \\$15$.\n\n**2. Calculate the total cost for each group of toys:**\n* **Total cost of red cars:** There are 5 red cars.\n * $5 \\times \\$4 = \\$20$.\n* **Total cost of action figures:** There are 3 action figures.\n * $3 \\times \\$5 = \\$15$.\n* **Total cost of the doll:** There is 1 doll.\n * $1 \\times \\$15 = \\$15$.\n\n**3. Calculate the total value of all toys:**\n* Total value = (Total cost of red cars) + (Total cost of action figures) + (Total cost of doll)\n* Total value = $\\$20 + \\$15 + \\$15$\n* Total value = $\\$50$\n\nAnswer: 50", "usage": {"prompt_tokens": 85, "total_tokens": 403, "completion_tokens": 318, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303717.033, "t1": 1793303761.51, "s": 44.48} +{"seq": 165, "idx": 157, "ok": true, "gold": "80", "reply": "To find out how much farther the winner runs than the loser, we need to calculate the total distance covered by both Blake and Kelly.\n\n**1. Calculate Blake's distance:**\nBlake runs back and forth on a 100-yard field 15 times.\nOne \"back and forth\" trip means running the length of the field twice (100 yards there and 100 yards back).\nDistance per trip = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\nTotal distance for Blake = $15 \\text{ trips} \\times 200 \\text{ yards/trip} = 3000 \\text{ yards}$.\n\n**2. Calculate Kelly's distance:**\nKelly's run consists of two parts:\n- Part 1: One full back and forth trip on the 100-yard field.\n Distance = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\n- Part 2: Running to the 40-yard line and back, 34 times.\n One trip to the 40-yard line and back = $40 \\text{ yards} \\times 2 = 80 \\text{ yards}$.\n Distance for 34 trips = $34 \\times 80 \\text{ yards} = 2720 \\text{ yards}$.\n\nTotal distance for Kelly = $200 \\text{ yards} + 2720 \\text{ yards} = 2920 \\text{ yards}$.\n\n**3. Calculate the difference:**\nBlake ran 3000 yards.\nKelly ran 2920 yards.\nBlake is the winner.\nDifference = $3000 \\text{ yards} - 2920 \\text{ yards} = 80 \\text{ yards}$.\n\nAnswer: 80", "usage": {"prompt_tokens": 134, "total_tokens": 559, "completion_tokens": 425, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303704.526, "t1": 1793303764.005, "s": 59.48} +{"seq": 166, "idx": 165, "ok": true, "gold": "77", "reply": "To find out how much money Elvira will have left for her clothing, we need to subtract the total cost of all the computer accessories from her total budget.\n\n**1. Calculate the total cost of the items:**\n* Computer machine (with screen, keyboard, and mouse): \u20ac1090\n* Scanner: \u20ac157\n* CD burner: \u20ac74\n* Printer: \u20ac102\n\nTotal Cost = \u20ac1090 + \u20ac157 + \u20ac74 + \u20ac102\n\nLet's add them step by step:\n$1090 + 157 = 1247$\n$1247 + 74 = 1321$\n$1321 + 102 = 1423$\n\nThe total cost of the items is **\u20ac1423**.\n\n**2. Calculate the remaining money:**\n* Total budget: \u20ac1500\n* Total cost: \u20ac1423\n\nRemaining money = Total budget - Total cost\nRemaining money = \u20ac1500 - \u20ac1423\nRemaining money = \u20ac77\n\nElvira will have \u20ac77 left for her clothing.\n\nAnswer: 77", "usage": {"prompt_tokens": 145, "total_tokens": 418, "completion_tokens": 273, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303726.536, "t1": 1793303764.883, "s": 38.35} +{"seq": 167, "idx": 164, "ok": true, "gold": "15", "reply": "To find out how much more money Jackie will have if she hires the accountant, we need to compare the two scenarios: doing the taxes herself versus hiring an accountant.\n\n**Scenario 1: Doing the taxes herself**\nIn this scenario, Jackie loses time that could have been spent on freelance work.\n- Hours lost: 3 hours\n- Hourly rate: $35/hour\n- Total income lost: $3 \\times \\$35 = \\$105$\n\nSince she is losing $105 in income, her total financial position relative to her potential earnings is $-\\$105$.\n\n**Scenario 2: Hiring an accountant**\nIn this scenario, Jackie keeps all her freelance hours but must pay the accountant.\n- Cost of accountant: $90\n- Total cost: $-\\$90$\n\n**Comparison**\nWe want to find how much more money she will have if she hires the accountant compared to doing them herself.\n- Financial position (Accountant): $-\\$90$\n- Financial position (Self): $-\\$105$\n\nTo find the difference:\nDifference = (Financial position with accountant) - (Financial position doing it herself)\nDifference = $-\\$90 - (-\\$105)$\nDifference = $-\\$90 + \\$105$\nDifference = $\\$15$\n\nAlternatively, looking at the costs:\nCost of doing it herself (in lost income): $105\nCost of hiring an accountant: $90\nBy hiring the accountant, she saves $105 - $90 = $15.\n\nAnswer: 15", "usage": {"prompt_tokens": 97, "total_tokens": 440, "completion_tokens": 343, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303717.033, "t1": 1793303765.013, "s": 47.98} +{"seq": 168, "idx": 169, "ok": true, "gold": "120", "reply": "To find the total number of miles Pancho walks in a week, we need to calculate the distance for weekdays and the distance for weekends separately.\n\n1. **Identify the number of weekdays and weekend days:**\n * There are 7 days in a week.\n * Weekdays (Monday through Friday) = 5 days.\n * Weekend days (Saturday and Sunday) = 2 days.\n\n2. **Calculate the distance walked on weekdays:**\n * Pancho walks 20 miles per weekday.\n * 5 weekdays \u00d7 20 miles/day = 100 miles.\n\n3. **Calculate the distance walked on weekends:**\n * Pancho walks 10 miles per weekend day.\n * 2 weekend days \u00d7 10 miles/day = 20 miles.\n\n4. **Calculate the total weekly distance:**\n * 100 miles (weekdays) + 20 miles (weekends) = 120 miles.\n\nAnswer: 120", "usage": {"prompt_tokens": 60, "total_tokens": 288, "completion_tokens": 228, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303736.04, "t1": 1793303768.281, "s": 32.24} +{"seq": 169, "idx": 176, "ok": true, "gold": "100", "reply": "To find the number of girls on the Chinese team, we follow these steps:\n\n1. **Find the total number of Chinese participants:**\n The total number of Asians is 240.\n The number of Japanese participants is 80.\n The number of Chinese participants is the total minus the Japanese:\n $240 - 80 = 160$\n\n2. **Find the number of girls on the Chinese team:**\n The total number of Chinese participants is 160.\n The number of boys on the Chinese team is 60.\n The number of girls is the total Chinese participants minus the boys:\n $160 - 60 = 100$\n\nAnswer: 100", "usage": {"prompt_tokens": 74, "total_tokens": 241, "completion_tokens": 167, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303753.048, "t1": 1793303776.362, "s": 23.31} +{"seq": 170, "idx": 171, "ok": true, "gold": "1210", "reply": "To find the total number of legs Jake sees, we need to calculate the number of legs for each group of creatures and then sum them up.\n\n1. **Spiders:**\n Jake sees 80 spiders, and each spider has 8 legs.\n $80 \\times 8 = 640$ legs.\n\n2. **Insects:**\n Jake sees 90 insects, and each insect has 6 legs.\n $90 \\times 6 = 540$ legs.\n\n3. **Mutant Invertebrates:**\n Jake sees 3 mutant invertebrates, and each has 10 legs.\n $3 \\times 10 = 30$ legs.\n\n4. **Total Legs:**\n Now, add the legs from all three groups together:\n $640 + 540 + 30$\n\n First, add 640 and 540:\n $640 + 540 = 1180$\n\n Then, add 30 to that sum:\n $1180 + 30 = 1210$\n\nJake sees a total of 1210 legs.\n\nAnswer: 1210", "usage": {"prompt_tokens": 81, "total_tokens": 360, "completion_tokens": 279, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303743.543, "t1": 1793303782.624, "s": 39.08} +{"seq": 171, "idx": 170, "ok": true, "gold": "150", "reply": "To find the total cost of each uniform, we need to calculate the cost of each individual item: the hat, the jacket, and the pants.\n\n1. **Cost of the hat:**\n The problem states the hat costs $25.\n $\\text{Hat} = \\$25$\n\n2. **Cost of the jacket:**\n The jacket costs three times as much as the hat.\n $\\text{Jacket} = 3 \\times \\$25 = \\$75$\n\n3. **Cost of the pants:**\n The pants cost the average of the costs of the hat and the jacket.\n $\\text{Pants} = \\frac{\\text{Hat} + \\text{Jacket}}{2}$\n $\\text{Pants} = \\frac{\\$25 + \\$75}{2} = \\frac{\\$100}{2} = \\$50$\n\n4. **Total cost of the uniform:**\n The total cost is the sum of the costs of the hat, the jacket, and the pants.\n $\\text{Total} = \\text{Hat} + \\text{Jacket} + \\text{Pants}$\n $\\text{Total} = \\$25 + \\$75 + \\$50$\n $\\text{Total} = \\$150$\n\nAnswer: 150", "usage": {"prompt_tokens": 84, "total_tokens": 381, "completion_tokens": 297, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303741.542, "t1": 1793303783.14, "s": 41.6} +{"seq": 172, "idx": 172, "ok": true, "gold": "51", "reply": "To find the total age of the four birds, we need to determine the age of each bird based on the information provided.\n\n1. **Sally Thirtytwo**: The problem states that Sally Thirtytwo is 8 years old.\n * Sally Thirtytwo = 8\n\n2. **Sally Four**: The problem states that Sally Four is the same age as Sally Thirtytwo.\n * Sally Four = 8\n\n3. **Granny Red**: The problem states that Granny Red is two times as old as Sally Four.\n * Granny Red = 2 * 8 = 16\n\n4. **Sally Two**: The problem states that Sally Two is three years older than Granny Red.\n * Sally Two = 16 + 3 = 19\n\nNow, we calculate the total age of the four birds by adding their ages together:\nTotal Age = Sally Two + Granny Red + Sally Four + Sally Thirtytwo\nTotal Age = 19 + 16 + 8 + 8\n\nCalculation:\n19 + 16 = 35\n35 + 8 = 43\n43 + 8 = 51\n\nAnswer: 51", "usage": {"prompt_tokens": 92, "total_tokens": 353, "completion_tokens": 261, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303748.045, "t1": 1793303784.793, "s": 36.75} +{"seq": 173, "idx": 174, "ok": true, "gold": "95", "reply": "To find out how long it will take Billy to prep the potatoes, we need to calculate the total time spent peeling and the total time spent cutting, then add them together.\n\n**1. Calculate the time per potato:**\n* **Peeling time:** 1 minute and 30 seconds (since 1.5 minutes = 90 seconds).\n* **Cutting time:** 5 seconds.\n* **Total time per potato:** 90 seconds + 5 seconds = 95 seconds.\n\n**2. Calculate the total time for 60 potatoes:**\n* **Total time in seconds:** $60 \\text{ potatoes} \\times 95 \\text{ seconds/potato} = 5,700 \\text{ seconds}$.\n\n**3. Convert the total time into minutes:**\n* **Total time in minutes:** $5,700 \\text{ seconds} \\div 60 \\text{ seconds/minute} = 95 \\text{ minutes}$.\n\n**4. Convert the total time into hours and minutes (optional, but helpful for clarity):**\n* 95 minutes is equal to 1 hour and 35 minutes.\n\nThe question asks how long it will take him to finish prepping the potatoes. Expressing this in minutes is standard.\n\nAnswer: 95", "usage": {"prompt_tokens": 127, "total_tokens": 412, "completion_tokens": 285, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303751.547, "t1": 1793303791.386, "s": 39.84} +{"seq": 174, "idx": 167, "ok": true, "gold": "16", "reply": "To find Seth's age, we can set up a system of equations based on the information provided.\n\n**1. Define the variables:**\nLet $S$ be Seth's current age.\nLet $B$ be Brooke's current age.\n\n**2. Set up the equations based on the problem statement:**\n* \"Seth is twice as old as Brooke\":\n $S = 2B$ (Equation 1)\n* \"In 2 years, the sum of their ages will be 28\":\n In 2 years, Seth's age will be $(S + 2)$ and Brooke's age will be $(B + 2)$.\n $(S + 2) + (B + 2) = 28$ (Equation 2)\n\n**3. Solve the system of equations:**\nFirst, simplify Equation 2:\n$S + B + 4 = 28$\n$S + B = 24$\n\nNow, substitute Equation 1 ($S = 2B$) into the simplified Equation 2:\n$2B + B = 24$\n$3B = 24$\n$B = 8$\n\nNow that we have Brooke's age, substitute $B = 8$ back into Equation 1 to find Seth's age:\n$S = 2(8)$\n$S = 16$\n\n**4. Verify the result:**\nIf Seth is 16 and Brooke is 8:\n* Seth is twice as old as Brooke ($16 = 2 \\times 8$). Correct.\n* In 2 years, Seth will be 18 and Brooke will be 10.\n* The sum of their ages in 2 years will be $18 + 10 = 28$. Correct.\n\nAnswer: 16", "usage": {"prompt_tokens": 58, "total_tokens": 465, "completion_tokens": 407, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303734.539, "t1": 1793303791.387, "s": 56.85} +{"seq": 175, "idx": 179, "ok": true, "gold": "130", "reply": "To find out how much Lloyd earned for the first two weeks, we can follow these steps:\n\n1. **Calculate the total number of hours tutored:**\n * Hours in the first week: 5 hours\n * Hours in the second week: 8 hours\n * Total hours = 5 + 8 = 13 hours\n\n2. **Calculate the total earnings:**\n * Hourly rate: $10 per hour\n * Total earnings = Total hours \u00d7 Hourly rate\n * Total earnings = 13 hours \u00d7 $10/hour = $130\n\nAlternatively, you can calculate the earnings for each week separately and then add them:\n* Earnings for the first week: 5 hours \u00d7 $10 = $50\n* Earnings for the second week: 8 hours \u00d7 $10 = $80\n* Total earnings = $50 + $80 = $130\n\nAnswer: 130", "usage": {"prompt_tokens": 71, "total_tokens": 286, "completion_tokens": 215, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303761.553, "t1": 1793303791.387, "s": 29.83} +{"seq": 176, "idx": 175, "ok": true, "gold": "15", "reply": "To find out how much they spent on lemons, we first need to determine how many gallons of lemonade they made.\n\n**1. Calculate the cost and revenue per gallon:**\n* **Cost per gallon:**\n * Lemons: $3\n * Sugar: $2\n * Total cost per gallon = $3 + $2 = $5\n* **Revenue per gallon:**\n * They sell 20 glasses per gallon.\n * Each glass costs $0.50.\n * Total revenue per gallon = 20 * $0.50 = $10\n\n**2. Calculate the profit per gallon:**\n* Profit = Revenue - Cost\n* Profit per gallon = $10 - $5 = $5\n\n**3. Calculate the number of gallons made:**\n* We know the total profit is $25.\n* Number of gallons = Total Profit / Profit per gallon\n* Number of gallons = $25 / $5 = 5 gallons\n\n**4. Calculate the total spent on lemons:**\n* The cost of lemons per gallon is $3.\n* Total spent on lemons = Number of gallons * Cost of lemons per gallon\n* Total spent on lemons = 5 * $3 = $15\n\nAnswer: 15", "usage": {"prompt_tokens": 91, "total_tokens": 377, "completion_tokens": 286, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303752.047, "t1": 1793303792.094, "s": 40.05} +{"seq": 177, "idx": 178, "ok": true, "gold": "122", "reply": "To find the total number of crabs, we need to determine how many crabs each person has based on the information provided.\n\n1. **Bo's crabs:** The problem states that Bo has 40 crabs.\n * Bo = 40\n\n2. **Monic's crabs:** Monic has 4 fewer crabs than Bo.\n * Monic = Bo - 4\n * Monic = 40 - 4 = 36\n\n3. **Rani's crabs:** Rani has ten more crabs than Monic.\n * Rani = Monic + 10\n * Rani = 36 + 10 = 46\n\n4. **Total crabs:** To find the total, add the number of crabs each person has together.\n * Total = Bo + Monic + Rani\n * Total = 40 + 36 + 46\n\nCalculating the sum:\n40 + 36 = 76\n76 + 46 = 122\n\nAnswer: 122", "usage": {"prompt_tokens": 67, "total_tokens": 309, "completion_tokens": 242, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303758.551, "t1": 1793303792.223, "s": 33.67} +{"seq": 178, "idx": 173, "ok": true, "gold": "18000", "reply": "To find out how much Jessica pays in a year, we first calculate her total monthly minimum payments and then apply the 50% increase.\n\n1. **Calculate the total monthly minimum payments:**\n * Student loans: $300\n * Credit card: $200\n * Mortgage: $500\n * Total minimum monthly payment = $300 + $200 + $500 = $1,000\n\n2. **Calculate the monthly payment with a 50% increase:**\n * Jessica wants to pay 50% more than the minimum.\n * 50% of $1,000 = $1,000 \u00d7 0.50 = $500\n * Total monthly payment = $1,000 + $500 = $1,500\n\n3. **Calculate the total annual payment:**\n * Since there are 12 months in a year:\n * Annual payment = $1,500 \u00d7 12\n * $1,500 \u00d7 10 = $15,000\n * $1,500 \u00d7 2 = $3,000\n * $15,000 + $3,000 = $18,000\n\nAnswer: 18000", "usage": {"prompt_tokens": 112, "total_tokens": 429, "completion_tokens": 317, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303749.546, "t1": 1793303794.112, "s": 44.57} +{"seq": 179, "idx": 181, "ok": true, "gold": "160", "reply": "To find the number of red roses Fred must deliver, we need to determine the total number of red roses Sandra ordered based on the information provided.\n\n1. **Find the number of white carnations:**\n We are told that the number of pink calla lilies is 200, and this number is five times the number of white carnations.\n Let $C$ be the number of white carnations.\n $5 \\times C = 200$\n $C = 200 / 5$\n $C = 40$\n So, there are 40 white carnations.\n\n2. **Find the number of red roses:**\n We are told that Sandra ordered four times as many red roses as white carnations.\n Let $R$ be the number of red roses.\n $R = 4 \\times C$\n $R = 4 \\times 40$\n $R = 160$\n\nThe problem asks how many red roses Fred must deliver to complete the order. Since the order is \"incomplete\" and the goal is to deliver the red roses ordered, Fred must deliver the total amount of red roses Sandra ordered.\n\nAnswer: 160", "usage": {"prompt_tokens": 123, "total_tokens": 391, "completion_tokens": 268, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303765.054, "t1": 1793303802.335, "s": 37.28} +{"seq": 180, "idx": 180, "ok": true, "gold": "20", "reply": "To find the number of votes the loser received, we can follow these steps:\n\n1. **Identify the total number of votes:**\n The total number of students who voted is 80.\n\n2. **Calculate the number of votes the winner received:**\n The winner received $\\frac{3}{4}$ of the total votes.\n $$\\text{Winner's votes} = \\frac{3}{4} \\times 80$$\n $$\\text{Winner's votes} = 3 \\times 20 = 60$$\n\n3. **Calculate the number of votes the loser received:**\n Since there are only two candidates, the loser's votes are the total votes minus the winner's votes.\n $$\\text{Loser's votes} = \\text{Total votes} - \\text{Winner's votes}$$\n $$\\text{Loser's votes} = 80 - 60 = 20$$\n\n**Alternative Method:**\nIf the winner got $\\frac{3}{4}$ of the votes, the loser must have received the remaining fraction of the votes.\n$$\\text{Loser's fraction} = 1 - \\frac{3}{4} = \\frac{1}{4}$$\n$$\\text{Loser's votes} = \\frac{1}{4} \\times 80 = 20$$\n\nAnswer: 20", "usage": {"prompt_tokens": 79, "total_tokens": 386, "completion_tokens": 307, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303764.054, "t1": 1793303806.684, "s": 42.63} +{"seq": 181, "idx": 185, "ok": true, "gold": "30", "reply": "To find the total number of apples picked by Jenna and her mother, we follow these steps:\n\n1. **Identify the number of apples the mother picked:**\n The problem states that the mother picked 20 apples.\n\n2. **Calculate the number of apples Jenna picked:**\n Jenna picked half as many apples as her mother.\n $\\text{Jenna's apples} = \\frac{1}{2} \\times 20 = 10$ apples.\n\n3. **Calculate the total number of apples picked by both:**\n To find the total, add the mother's apples and Jenna's apples together.\n $\\text{Total apples} = 20 (\\text{mother}) + 10 (\\text{Jenna}) = 30$ apples.\n\nAnswer: 30", "usage": {"prompt_tokens": 69, "total_tokens": 249, "completion_tokens": 180, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303783.061, "t1": 1793303808.08, "s": 25.02} +{"seq": 182, "idx": 190, "ok": true, "gold": "360", "reply": "To find the total number of peaches John collects, we need to calculate the total number of minutes he spends collecting and then multiply that by his collection rate.\n\n1. **Calculate the total number of minutes:**\n John collects peaches for 3 hours. Since there are 60 minutes in one hour:\n $3 \\text{ hours} \\times 60 \\text{ minutes/hour} = 180 \\text{ minutes}$\n\n2. **Calculate the total number of peaches:**\n John collects 2 peaches every minute.\n $180 \\text{ minutes} \\times 2 \\text{ peaches/minute} = 360 \\text{ peaches}$\n\nAnswer: 360", "usage": {"prompt_tokens": 55, "total_tokens": 212, "completion_tokens": 157, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303791.566, "t1": 1793303813.368, "s": 21.8} +{"seq": 183, "idx": 183, "ok": true, "gold": "2", "reply": "To find the difference in time between the two teams, we need to calculate the total time for each team.\n\n**Team 1 (Well-rounded team):**\nEach of the four members runs their 400-meter leg in exactly 55 seconds.\nTotal time for Team 1 = $55 + 55 + 55 + 55 = 220$ seconds.\n\n**Team 2 (Less well-rounded team):**\nThe first runner runs in 60 seconds. Each subsequent runner is 3 seconds faster than the previous one.\n- Runner 1: 60 seconds\n- Runner 2: $60 - 3 = 57$ seconds\n- Runner 3: $57 - 3 = 54$ seconds\n- Runner 4: $54 - 3 = 51$ seconds\n\nTotal time for Team 2 = $60 + 57 + 54 + 51$\nTo calculate this quickly: $60 + 57 + 54 + 51 = 222$ seconds.\n\n**Comparison:**\nTeam 1's time is 220 seconds.\nTeam 2's time is 222 seconds.\n\nTeam 1 is the faster team. To find by how many seconds they win, we subtract Team 1's time from Team 2's time:\n$222 - 220 = 2$ seconds.\n\nAnswer: 2", "usage": {"prompt_tokens": 165, "total_tokens": 494, "completion_tokens": 329, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303768.557, "t1": 1793303814.012, "s": 45.46} +{"seq": 184, "idx": 191, "ok": true, "gold": "5", "reply": "To find out how many pounds of insects the flock of ten ducks needs per day, follow these steps:\n\n1. **Calculate the total weekly requirement for the entire flock:**\n Each duck needs 3.5 pounds per week.\n For 10 ducks: $3.5 \\text{ pounds/duck} \\times 10 \\text{ ducks} = 35 \\text{ pounds per week}$.\n\n2. **Calculate the daily requirement for the entire flock:**\n There are 7 days in a week. To find the daily amount, divide the weekly total by 7.\n $35 \\text{ pounds} \\div 7 \\text{ days} = 5 \\text{ pounds per day}$.\n\nAnswer: 5", "usage": {"prompt_tokens": 66, "total_tokens": 229, "completion_tokens": 163, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303792.567, "t1": 1793303815.167, "s": 22.6} +{"seq": 185, "idx": 177, "ok": true, "gold": "350", "reply": "To find out how much money Zaid has left, we need to calculate each expense step- step by step based on his monthly salary of $6000.\n\n1. **Calculate Rent:**\n Rent = $\\frac{1}{4} \\times 6000 = 1500$\n\n2. **Calculate Car Fuel:**\n Car Fuel = $\\frac{1}{3} \\times 6000 = 2000$\n\n3. **Calculate the Remaining Amount after Rent and Fuel:**\n Total spent on Rent and Fuel = $1500 + 2000 = 3500$\n Remaining amount = $6000 - 3500 = 2500$\n\n4. **Calculate Donation:**\n Zaid donates half of the remaining amount.\n Donation = $\\frac{1}{2} \\times 2500 = 1250$\n\n5. **Calculate the Remaining Amount after Donation:**\n Remaining amount = $2500 - 1250 = 1250$\n\n6. **Calculate Family Expenses:**\n Daughter's expenses = $200$\n Wife's budget = $700$\n Total family expenses = $200 + 700 = 900$\n\n7. **Calculate Final Remaining Amount:**\n Final amount = $1250 - 900 = 350$\n\n**Summary of deductions:**\n- Rent: $1500\n- Fuel: $2000\n- Donation: $1250\n- Daughter: $200\n- Wife: $700\nTotal expenses = $1500 + 2000 + 1250 + 200 + 700 = 5650$\nRemaining = $6000 - 5650 = 350$\n\nAnswer: 350", "usage": {"prompt_tokens": 122, "total_tokens": 571, "completion_tokens": 449, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303754.549, "t1": 1793303817.005, "s": 62.46} +{"seq": 186, "idx": 194, "ok": true, "gold": "10", "reply": "To find out how much change Violetta will get, follow these steps:\n\n1. **Calculate the total cost of the crayons:**\n Violetta needs 5 different colors, and each crayon costs $2.\n Total Cost = Number of crayons \u00d7 Cost per crayon\n Total Cost = 5 \u00d7 $2 = $10\n\n2. **Calculate the change:**\n Violetta prepared $20 for the purchase. The change is the amount she gives minus the total cost.\n Change = Amount prepared - Total Cost\n Change = $20 - $10 = $10\n\nVioletta will get $10 in change.\n\nAnswer: 10", "usage": {"prompt_tokens": 67, "total_tokens": 213, "completion_tokens": 146, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303802.571, "t1": 1793303822.416, "s": 19.85} +{"seq": 187, "idx": 196, "ok": true, "gold": "120", "reply": "To find out how many pounds of carrots will not be used, we follow these steps:\n\n1. **Calculate the total amount of carrots distributed to the restaurants:**\n There are 40 restaurants, and each restaurant receives 2 pounds of carrots.\n Total distributed = $40 \\text{ restaurants} \\times 2 \\text{ pounds/restaurant} = 80 \\text{ pounds}$.\n\n2. **Calculate the amount of carrots remaining:**\n The total amount of carrots available is 200 pounds.\n Remaining carrots = Total available - Total distributed\n Remaining carrots = $200 \\text{ pounds} - 80 \\text{ pounds} = 120 \\text{ pounds}$.\n\nAnswer: 120", "usage": {"prompt_tokens": 70, "total_tokens": 234, "completion_tokens": 164, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303808.574, "t1": 1793303830.414, "s": 21.84} +{"seq": 188, "idx": 189, "ok": true, "gold": "34", "reply": "To find out how much each friend paid, we need to calculate the total amount spent by all three friends and then divide that total by three.\n\n**1. Calculate the cost of the tickets:**\nThe problem states the total cost for 3 tickets is **$20.25**.\n\n**2. Calculate the cost of the food:**\nThe friends spent $4.50 less on food than on the tickets.\nCost of food = $20.25 - $4.50 = **$15.75**.\n\n**3. Calculate the cost of the rides:**\nThey went on 2 different rides, and each ride cost $33.\nCost of rides = 2 \u00d7 $33 = **$66.00**.\n\n**4. Calculate the total cost for all three friends:**\nTotal Cost = Cost of tickets + Cost of food + Cost of rides\nTotal Cost = $20.25 + $15.75 + $66.00\nTotal Cost = $36.00 + $66.00 = **$102.00**.\n\n**5. Calculate how much each person paid:**\nSince there are three friends and they split the costs evenly:\nAmount per person = Total Cost / 3\nAmount per person = $102.00 / 3 = **$34.00**.\n\nAnswer: 34.00", "usage": {"prompt_tokens": 97, "total_tokens": 406, "completion_tokens": 309, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303791.565, "t1": 1793303833.295, "s": 41.73} +{"seq": 189, "idx": 187, "ok": false, "gold": "106", "reply": "To find the total amount Mandy owes Benedict after 3 months, we calculate the interest compounded monthly.\n\n**1. Identify the variables:**\n* Principal ($P$) = $100\n* Monthly interest rate ($r$) = 2% = 0.02\n* Time in months ($n$) = 3\n\n**2. Calculate the amount month by month:**\n\n* **Month 1:**\n Interest = $100 \\times 0.02 = $2\n New Balance = $100 + $2 = $102\n\n* **Month 2:**\n Interest = $102 \\times 0.02 = $2.04\n New Balance = $102 + $2.04 = $104.04\n\n* **Month 3:**\n Interest = $104.04 \\times 0.02 = $2.0808\n New Balance = $104.04 + $2.0808 = $106.1208\n\n**3. Using the Compound Interest Formula:**\nAlternatively, we can use the formula $A = P(1 + r)^n$:\n$A = 100(1 + 0.02)^3$\n$A = 100(1.02)^3$\n$A = 100(1.061208)$\n$A = 106.1208$\n\nRounding to the nearest cent (standard for currency), the amount is $106.12.\n\nAnswer: 106.12", "usage": {"prompt_tokens": 68, "total_tokens": 438, "completion_tokens": 370, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303785.063, "t1": 1793303834.908, "s": 49.85} +{"seq": 190, "idx": 159, "ok": true, "gold": "15", "reply": "To find out how many tadpoles Finn can see in the pond now, we need to track the number of tadpoles that are visible at each step.\n\n1. **Initial state:** Finn is watching 11 tadpoles. However, the problem implies these are the tadpoles in the pond, but it doesn't explicitly state they are all visible. Let's re-read: \"Finn watches 11 tadpoles swimming in the pond.\" This implies all 11 are currently visible.\n2. **First change:** \"Suddenly he sees 6 of them come out of hiding from under a lily pad.\" This phrasing is slightly tricky. If he was already watching 11 tadpoles, and then 6 *more* come out of hiding, it implies the 11 were the ones already visible, and 6 more became visible. However, in standard word problems of this type, the initial number usually represents the total population or the starting visible count. \n * *Interpretation A:* He sees 11. Then 6 more appear. Total visible = 11 + 6 = 17.\n * *Interpretation B:* The 11 tadpoles include those hiding. If 6 come out of hiding, they were part of the 11 but were not \"seen\" until now. But the problem says he \"watches 11 tadpoles swimming,\" which means he is already seeing them.\n * *Interpretation C (Most logical for this level of math):* The 11 tadpoles are the total number in the pond. If 6 come out of hiding, they were already part of the 11, but the wording \"he sees 6 of them come out\" suggests they were previously hidden. If he was watching 11 *swimming*, they were already visible. \n\nLet's look at the wording again: \"Finn watches 11 tadpoles swimming... Suddenly he sees 6 of them come out of hiding\". This implies the 6 were *not* part of the 11 he was watching.\nTotal visible = 11 (already swimming) + 6 (newly visible) = 17.\n\n3. **Second change:** \"then he sees 2 of them hide under a rock.\" When tadpoles hide, they are no longer visible.\n Total visible = 17 - 2 = 15.\n\n**Alternative Interpretation (The \"Total Population\" approach):**\nIf the 11 tadpoles are the *total* number in the pond:\n- He is watching 11.\n- 6 come out of hiding (but they were already part of the 11 he was watching? This makes the sentence redundant).\n- 2 hide (11 - 2 = 9).\n\nLet's re-read carefully: \"Finn watches 11 tadpoles swimming... Suddenly he sees 6 of them come out of hiding\". If he is watching 11 swimming, they are visible. If 6 more come out of hiding, they are *additional* visible tadpoles.\n11 (visible) + 6 (newly visible) = 17 visible.\n17 (visible) - 2 (hide) = 15 visible.\n\nWait, let's try a third interpretation: The 11 tadpoles are the total, and the \"6 come out of hiding\" is a description of what happened to some of those 11. But if he was already watching 11 swimming, they weren't hiding. \nThe most consistent way to read this is:\nInitial visible: 11\nNew visible: +6\nHidden: -2\nTotal visible: 11 + 6 - 2 = 15.\n\nHowever, if the 11 tadpoles *includes* the ones that were hiding:\nIf 11 is the total, and he sees 6 come out of hiding, he is still seeing 11. Then 2 hide. 11 - 2 = 9.\nBut the problem says he \"watches 11 tadpoles swimming\". If they are swimming, they are visible.\n\nLet's look at the most common logic for these puzzles:\nStart: 11\nAdd: 6\nSubtract: 2\n11 + 6 - 2 = 15.\n\nAnswer: 15", "usage": {"prompt_tokens": 84, "total_tokens": 1022, "completion_tokens": 938, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303706.027, "t1": 1793303835.026, "s": 129.0} +{"seq": 191, "idx": 193, "ok": true, "gold": "24", "reply": "To find out how many more pink plastic flamingos there are than white plastic flamingos, we will track the number of each color step by step.\n\n1. **Friday morning:**\n The neighbors place 18 pink flamingos in the yard.\n * Pink: 18\n * White: 0\n\n2. **Saturday morning:**\n The neighbors take back one third of the flamingos and paint them white.\n * Number of flamingos taken back: $\\frac{1}{3} \\times 18 = 6$.\n * These 6 flamingos are painted white and put back.\n * Remaining pink flamingos: $18 - 6 = 12$.\n * New white flamingos: 6.\n * Current count: Pink = 12, White = 6.\n\n3. **Sunday morning:**\n The neighbors add another 18 pink plastic flamingos.\n * Pink flamingos: $12 + 18 = 30$.\n * White flamingos: 6 (remains the same).\n\n4. **At noon on Sunday:**\n We need to find how many more pink flamingos there are than white flamingos.\n * Difference = Pink - White\n * Difference = $30 - 6 = 24$.\n\nAnswer: 24", "usage": {"prompt_tokens": 151, "total_tokens": 459, "completion_tokens": 308, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303794.568, "t1": 1793303835.562, "s": 40.99} +{"seq": 192, "idx": 188, "ok": true, "gold": "50", "reply": "To find the number of bags sold, we need to determine the cost price per bag, the selling price per bag, and then use the total profit to find the quantity.\n\n**1. Calculate the total cost price per bag:**\nThe trader buys each bag for $20 and spends $2 to transport it.\nCost price per bag = Purchase price + Transport cost\nCost price per bag = $20 + $2 = $22\n\n**2. Identify the selling price per bag:**\nThe trader sells each bag for $30.\nSelling price per bag = $30\n\n**3. Calculate the profit per bag:**\nProfit per bag = Selling price - Cost price\nProfit per bag = $30 - $22 = $8\n\n**4. Calculate the number of bags sold:**\nWe know the total profit is $400. Let $n$ be the number of bags sold.\nTotal Profit = (Profit per bag) \u00d7 (Number of bags)\n$400 = $8 \u00d7 $n$\n\nTo find $n$, divide the total profit by the profit per bag:\n$n = 400 / 8$\n$n = 50$\n\n**Verification:**\nCost of 50 bags: $50 \\times 22 = 1100$\nRevenue from 50 bags: $50 \\times 30 = 1500$\nProfit: $1500 - 1100 = 400$\n\nThe trader sold 50 bags.\n\nAnswer: 50", "usage": {"prompt_tokens": 98, "total_tokens": 439, "completion_tokens": 341, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303791.565, "t1": 1793303836.922, "s": 45.36} +{"seq": 193, "idx": 195, "ok": true, "gold": "12", "reply": "To find the total cost of 8 pens, we first need to determine the cost of a single pen.\n\n1. **Calculate the cost of one pen:**\n The problem states that a pen costs as much as a pencil and an eraser combined.\n Cost of a pencil = $1.20\n Cost of an eraser = $0.30\n Cost of one pen = $1.20 + $0.30 = $1.50\n\n2. **Calculate the cost of 8 pens:**\n To find the total cost for 8 pens, multiply the cost of one pen by 8.\n Total cost = $1.50 \u00d7 8\n\n Calculation:\n $1.50 \u00d7 2 = $3.00\n $3.00 \u00d7 4 = $12.00\n\n Alternatively:\n 1.50 * 8 = 12.00\n\nThe total cost for 8 pens is $12.00.\n\nAnswer: 12.00", "usage": {"prompt_tokens": 67, "total_tokens": 299, "completion_tokens": 232, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303807.073, "t1": 1793303837.201, "s": 30.13} +{"seq": 194, "idx": 184, "ok": true, "gold": "25", "reply": "To find the difference in probability, we first calculate the probability of each event.\n\n**Step 1: Calculate the probability of rolling a number greater than 3.**\nA six-sided die has the outcomes $\\{1, 2, 3, 4, 5, 6\\}$.\nThe numbers greater than 3 are $\\{4, 5, 6\\}$.\nThere are 3 favorable outcomes out of 6 possible outcomes.\n$P(\\text{greater than 3}) = \\frac{3}{6} = \\frac{1}{2} = 0.5$ (or $50\\%$).\n\n**Step 2: Calculate the probability of rolling two even numbers in a row.**\nThe even numbers on a six-sided die are $\\{2, 4, 6\\}$.\nThe probability of rolling an even number in a single roll is $\\frac{3}{6} = \\frac{1}{2}$.\nSince the two rolls are independent, the probability of rolling two even numbers in a row is:\n$P(\\text{two even numbers}) = \\frac{1}{2} \\times \\frac{1}{2} = \\frac{1}{4} = 0.25$ (or $25\\%$).\n\n**Step 3: Calculate how much more likely the first event is than the second.**\nWe want to find how much more likely $50\\%$ is than $25\\%$.\nThe question asks for the difference expressed as a percentage.\nDifference $= 50\\% - 25\\% = 25\\%$.\n\nAlternatively, if the question asks for the relative increase (how many percent more), it would be $\\frac{50-25}{25} = 100\\%$. However, in standard mathematical phrasing for \"how much more likely is X than Y\" in probability problems, it refers to the difference in percentage points.\n\nLet's re-read: \"How much more likely is it (expressed as a percentage)...\"\nIf event A is $50\\%$ and event B is $25\\%$, A is $25$ percentage points more likely than B.\n\nAnswer: 25%", "usage": {"prompt_tokens": 70, "total_tokens": 536, "completion_tokens": 466, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303776.559, "t1": 1793303838.404, "s": 61.84} +{"seq": 195, "idx": 192, "ok": true, "gold": "91", "reply": "To find the number of trees Tom has left after 10 years, we follow these steps:\n\n1. **Calculate the net growth of trees per year:**\n Tom plants 10 trees and chops down 2 trees every year.\n Net growth per year = $10 - 2 = 8$ trees.\n\n2. **Calculate the total number of trees added over 10 years:**\n Over 10 years, the net growth is:\n $8 \\text{ trees/year} \\times 10 \\text{ years} = 80$ trees.\n\n3. **Calculate the total number of trees before any die:**\n Tom started with 50 trees.\n Total trees after 10 years = $\\text{Starting trees} + \\text{Net growth}$\n Total trees = $50 + 80 = 130$ trees.\n\n4. **Calculate how many trees die:**\n After 10 years, 30% of the trees die.\n Number of trees that die = $30\\% \\text{ of } 130$\n Number of trees that die = $0.30 \\times 130 = 39$ trees.\n\n5. **Calculate the final number of trees remaining:**\n Remaining trees = $\\text{Total trees} - \\text{Trees that died}$\n Remaining trees = $130 - 39 = 91$ trees.\n\nAlternatively, if 30% die, 70% remain:\n$130 \\times 0.70 = 91$ trees.\n\nAnswer: 91", "usage": {"prompt_tokens": 84, "total_tokens": 451, "completion_tokens": 367, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303792.567, "t1": 1793303839.812, "s": 47.24} +{"seq": 196, "idx": 197, "ok": true, "gold": "6277", "reply": "To find the number of children in the city of Soda, we need to subtract the number of men and women from the total population.\n\n1. **Identify the total population:** 23,786\n2. **Identify the number of men:** 8,417\n3. **Identify the number of women:** 9,092\n4. **Calculate the total number of adults (men + women):**\n $8,417 + 9,092 = 17,509$\n5. **Subtract the total number of adults from the total population to find the number of children:**\n $23,786 - 17,509 = 6,277$\n\n**Step-by-step subtraction check:**\n 23,786\n- 17,509\n---------\n 6,277\n\nThere are 6,277 kids in Soda.\n\nAnswer: 6277", "usage": {"prompt_tokens": 81, "total_tokens": 305, "completion_tokens": 224, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303813.576, "t1": 1793303840.664, "s": 27.09} +{"seq": 197, "idx": 186, "ok": true, "gold": "5", "reply": "To find the number of rats in each cage, we need to set up an equation based on the total amount of straw distributed.\n\n1. **Identify the components of the total straw distribution:**\n * **Rats:** There are 3 cages of rats. Let $x$ be the number of rats in each cage. The total number of rats is $3x$. Each rat gets 6 pieces of straw.\n Total straw for rats = $3x \\times 6 = 18x$.\n * **Hamsters:** There are 10 cages of hamsters, and each cage has one hamster (they are \"kept alone\"). Each hamster gets 5 pieces of straw.\n Total straw for hamsters = $10 \\times 5 = 50$.\n * **Rabbits:** A pen of rabbits is given a total of 20 pieces of straw.\n Total straw for rabbits = $20$.\n\n2. **Set up the equation:**\n The total amount of straw distributed is 160 pieces.\n $\\text{Straw for rats} + \\text{Straw for hamsters} + \\text{Straw for rabbits} = 160$\n $18x + 50 + 20 = 160$\n\n3. **Solve for $x$:**\n $18x + 70 = 160$\n Subtract 70 from both sides:\n $18x = 160 - 70$\n $18x = 90$\n Divide by 18:\n $x = \\frac{90}{18}$\n $x = 5$\n\n4. **Verify the result:**\n If there are 5 rats in each of the 3 cages, there are 15 rats total.\n Straw for rats: $15 \\times 6 = 90$\n Straw for hamsters: $10 \\times 5 = 50$\n Straw for rabbits: $20$\n Total: $90 + 50 + 20 = 160$. This matches the problem statement.\n\nAnswer: 5", "usage": {"prompt_tokens": 143, "total_tokens": 631, "completion_tokens": 488, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303783.562, "t1": 1793303844.308, "s": 60.75} +{"seq": 198, "idx": 198, "ok": true, "gold": "320", "reply": "To find the total number of Pokemon cards Elaine has now, we need to calculate the number of cards she collected each month and add them to her initial amount.\n\n1. **Initial amount:**\n Elaine starts with 20 cards.\n Initial = 20\n\n2. **First month collection:**\n She collected three times her initial number.\n First month = $3 \\times 20 = 60$\n\n3. **Second month collection:**\n She collected 20 fewer cards than she collected in the first month.\n Second month = $60 - 20 = 40$\n\n4. **Third month collection:**\n She collected twice the combined number of cards from the first and second months.\n Combined (1st and 2nd) = $60 + 40 = 100$\n Third month = $2 \\times 100 = 200$\n\n5. **Total number of cards:**\n To find the total, we add the initial amount and the collections from all three months:\n Total = Initial + First month + Second month + Third month\n Total = $20 + 60 + 40 + 200$\n Total = $80 + 40 + 200$\n Total = $120 + 200$\n Total = $320$\n\nAnswer: 320", "usage": {"prompt_tokens": 105, "total_tokens": 425, "completion_tokens": 320, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303814.076, "t1": 1793303848.222, "s": 34.15} +{"seq": 199, "idx": 199, "ok": true, "gold": "7500", "reply": "To find out how much Mark makes in a week, we can follow these steps:\n\n1. **Identify the number of sentences edited for each publisher:**\n Mark edits a total of 1000 sentences each week. He edits an equal number of sentences for each of the two publishers.\n Sentences for Publisher A = $1000 / 2 = 500$ sentences.\n Sentences for Publisher B = $1000 / 2 = 500$ sentences.\n\n2. **Identify the pay rate for each publisher:**\n Publisher A pays 5 cents per sentence.\n Publisher B pays twice what Publisher A pays.\n Pay rate for Publisher B = $5 \\text{ cents} \\times 2 = 10$ cents per sentence.\n\n3. **Calculate the total earnings from each publisher:**\n Earnings from Publisher A = $500 \\text{ sentences} \\times 5 \\text{ cents/sentence} = 2500$ cents.\n Earnings from Publisher B = $500 \\text{ sentences} \\times 10 \\text{ cents/sentence} = 5000$ cents.\n\n4. **Calculate the total weekly earnings:**\n Total earnings = Earnings from Publisher A + Earnings from Publisher B\n Total earnings = $2500 \\text{ cents} + 5000 \\text{ cents} = 7500$ cents.\n\nAnswer: 7500", "usage": {"prompt_tokens": 108, "total_tokens": 436, "completion_tokens": 328, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303815.577, "t1": 1793303849.437, "s": 33.86} +{"seq": 200, "idx": 182, "ok": false, "gold": "23", "reply": "To solve the problem, we need to determine Jean's age based on the information provided.\n\n1. **Identify the given information:**\n * Jean is two years older than Mark.\n * Two years ago, Mark was 5 years older than half of Jan's age.\n * The problem asks: \"If Jan is 30 how old is Jean?\"\n\n2. **Analyze the question carefully:**\n The question asks \"If Jan is 30 how old is Jean?\". \n Looking at the first sentence: \"Jean is two years older than Mark.\"\n Looking at the second sentence: \"Two years ago Mark was 5 years older than half Jan's age.\"\n Looking at the final sentence: \"If Jan is 30 how old is Jean?\"\n\n Wait, the question asks for Jean's age given that Jan is 30. However, the first sentence states \"Jean is two years older than Mark.\" This implies a relationship between Jean and Mark, but it doesn't directly link Jean's age to Jan's age unless we use the second sentence to find Mark's age.\n\n3. **Set up the equations based on the text:**\n Let $J$ be Jean's age.\n Let $M$ be Mark's age.\n \n From sentence 1: $J = M + 2$\n From sentence 2 (Two years ago):\n Mark's age two years ago was $(M - 2)$.\n Jan's age two years ago was $(J - 2)$.\n The condition is: $(M - 2) = \\frac{1}{2}(J - 2) + 5$\n\n4. **Solve the system of equations:**\n We have:\n 1) $J = M + 2 \\implies M = J - 2$\n 2) $M - 2 = \\frac{1}{2}(J - 2) + 5$\n\n Substitute $M = J - 2$ into the second equation:\n $(J - 2) - 2 = \\frac{1}{2}(J - 2) + 5$\n $J - 4 = \\frac{1}{2}J - 1 + 5$\n $J - 4 = \\frac{1}{2}J + 4$\n $J - \\frac{1}{2}J = 4 + 4$\n $\\frac{1}{2}J = 8$\n $J = 16$\n\n5. **Re-evaluate the question's logic:**\n The problem states: \"If Jan is 30 how old is Jean?\"\n If we use the relationship derived from the text ($J=16$), it contradicts the premise \"If Jan is 30\". \n Let's re-read: \"Jean is two years older than Mark. Two years ago Mark was 5 years older than half Jan's age. If Jan is 30 how old is Jean?\"\n \n If Jan is 30, we must find Jean's age using the relationship provided in the second sentence.\n If $J = 30$:\n Two years ago, Jan was $30 - 2 = 28$.\n Half of Jan's age two years ago was $28 / 2 = 14$.\n Mark was 5 years older than that: $14 + 5 = 19$.\n So, two years ago, Mark was 19.\n This means Mark is currently $19 + 2 = 21$.\n \n Now, use the first sentence: \"Jean is two years older than Mark.\"\n If Mark is 21, then Jean is $21 + 2 = 23$.\n\n Wait, there is a contradiction in the problem statement. If $J=30$, the math says $J=23$. If we follow the math derived from the sentences, $J=16$. \n However, in word problems of this type, the \"If Jan is 30\" is the specific condition for the final question.\n Let's re-calculate based on $J=30$:\n 1. Jan = 30.\n 2. Two years ago, Jan was 28.\n 3. Half of Jan's age two years ago was 14.\n 4. Mark was 5 years older than that: $14 + 5 = 19$.\n 5. Mark is currently $19 + 2 = 21$.\n", "usage": {"prompt_tokens": 66, "total_tokens": 1090, "completion_tokens": 1024, "prompt_tokens_details": null, "completion_tokens_details": null}, "error": null, "prior_errors": 0, "t0": 1793303765.055, "t1": 1793303868.55, "s": 103.49} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/models.json b/bench/h54/results/2026-10-29/H54q/hold1/R/models.json new file mode 100644 index 00000000..05a36235 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/models.json @@ -0,0 +1 @@ +{"object":"list","data":[{"id":"google/gemma-4-26B-A4B-it","object":"model","created":1793303315,"owned_by":"vllm","root":"/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized","parent":null,"max_model_len":8192,"permission":[{"id":"modelperm-a24f4fb3dab43531","object":"model_permission","created":1793303315,"allow_create_engine":false,"allow_sampling":true,"allow_logprobs":true,"allow_search_indices":false,"allow_view":true,"allow_fine_tuning":false,"organization":"*","group":null,"is_blocking":false}]}]} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/pf.log b/bench/h54/results/2026-10-29/H54q/hold1/R/pf.log new file mode 100644 index 00000000..a78566a7 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/pf.log @@ -0,0 +1,234 @@ +Forwarding from 127.0.0.1:18213 -> 2080 +Forwarding from [::1]:18213 -> 2080 +Handling connection for 18213 +E1029 19:47:45.624531 1474800 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18213 -> 2080: error forwarding port 2080 to pod 6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-34fa21cd-5735-7429-0fda-a8c891473b8c\": failed to connect to localhost:2080 inside namespace \"6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:47:45Z +Forwarding from 127.0.0.1:18213 -> 2080 +Forwarding from [::1]:18213 -> 2080 +Handling connection for 18213 +E1029 19:47:55.640144 1474979 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18213 -> 2080: error forwarding port 2080 to pod 6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-34fa21cd-5735-7429-0fda-a8c891473b8c\": failed to connect to localhost:2080 inside namespace \"6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:47:55Z +Forwarding from 127.0.0.1:18213 -> 2080 +Forwarding from [::1]:18213 -> 2080 +Handling connection for 18213 +E1029 19:48:05.656698 1475267 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18213 -> 2080: error forwarding port 2080 to pod 6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-34fa21cd-5735-7429-0fda-a8c891473b8c\": failed to connect to localhost:2080 inside namespace \"6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:48:05Z +Forwarding from 127.0.0.1:18213 -> 2080 +Forwarding from [::1]:18213 -> 2080 +Handling connection for 18213 +E1029 19:48:15.671726 1475550 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18213 -> 2080: error forwarding port 2080 to pod 6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-34fa21cd-5735-7429-0fda-a8c891473b8c\": failed to connect to localhost:2080 inside namespace \"6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:48:15Z +Forwarding from 127.0.0.1:18213 -> 2080 +Forwarding from [::1]:18213 -> 2080 +Handling connection for 18213 +E1029 19:48:25.688014 1475829 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18213 -> 2080: error forwarding port 2080 to pod 6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-34fa21cd-5735-7429-0fda-a8c891473b8c\": failed to connect to localhost:2080 inside namespace \"6637a0ac40526464a6b6af3c255dabeec74102a0289b784126f63555a70d39cf\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:48:25Z +Forwarding from 127.0.0.1:18213 -> 2080 +Forwarding from [::1]:18213 -> 2080 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 +Handling connection for 18213 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/phases.jsonl b/bench/h54/results/2026-10-29/H54q/hold1/R/phases.jsonl new file mode 100644 index 00000000..f3ce716c --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/phases.jsonl @@ -0,0 +1 @@ +{"phase": "items", "t0": 1793303326.708424447, "t1": 1793303868.665300467, "check": {"void": true, "reason": "non-campaign CPU 5.07 CPU-s/s > 4.0"}} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/pod.json b/bench/h54/results/2026-10-29/H54q/hold1/R/pod.json new file mode 100644 index 00000000..d37a57d9 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/pod.json @@ -0,0 +1,364 @@ +{ + "apiVersion": "v1", + "kind": "Pod", + "metadata": { + "creationTimestamp": "2026-10-29T19:46:41Z", + "generateName": "vq-7c45b79c77-", + "generation": 1, + "labels": { + "app": "vq", + "pod-template-hash": "7c45b79c77" + }, + "name": "vq-7c45b79c77-xvz77", + "namespace": "h54", + "ownerReferences": [ + { + "apiVersion": "apps/v1", + "blockOwnerDeletion": true, + "controller": true, + "kind": "ReplicaSet", + "name": "vq-7c45b79c77", + "uid": "2538b89b-b09c-456b-b3e2-19ee0c67bebe" + } + ], + "resourceVersion": "843", + "uid": "b78848cc-d750-4ba5-a5a6-3fb52e02da6d" + }, + "spec": { + "affinity": { + "nodeAffinity": { + "requiredDuringSchedulingIgnoredDuringExecution": { + "nodeSelectorTerms": [ + { + "matchExpressions": [ + { + "key": "ei-inference-eligible", + "operator": "In", + "values": [ + "true" + ] + } + ] + } + ] + } + } + }, + "containers": [ + { + "args": [ + "--block-size", + "128", + "--dtype", + "bfloat16", + "--distributed_executor_backend", + "mp", + "--enable_chunked_prefill", + "--enforce-eager", + "--enable-prefix-caching", + "--enable-auto-tool-choice", + "--tool-call-parser", + "gemma4", + "--chat-template", + "/workspace/vllm/examples/tool_chat_template_gemma4.jinja", + "--tensor-parallel-size", + "1", + "--pipeline-parallel-size", + "1", + "--model", + "/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized", + "--served-model-name", + "google/gemma-4-26B-A4B-it", + "--port", + "2080", + "--max-model-len", + "8192", + "--attention-backend", + "CPU_ATTN" + ], + "envFrom": [ + { + "configMapRef": { + "name": "vq-config" + } + } + ], + "image": "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05", + "imagePullPolicy": "IfNotPresent", + "name": "vllm", + "ports": [ + { + "containerPort": 2080, + "name": "http", + "protocol": "TCP" + } + ], + "readinessProbe": { + "failureThreshold": 200, + "httpGet": { + "path": "/health", + "port": "http", + "scheme": "HTTP" + }, + "initialDelaySeconds": 10, + "periodSeconds": 5, + "successThreshold": 1, + "timeoutSeconds": 1 + }, + "resources": {}, + "securityContext": { + "allowPrivilegeEscalation": false, + "capabilities": { + "add": [ + "SYS_NICE" + ], + "drop": [ + "ALL" + ] + }, + "readOnlyRootFilesystem": true, + "runAsNonRoot": true, + "runAsUser": 1001, + "seccompProfile": { + "type": "RuntimeDefault" + } + }, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/data", + "name": "model-volume" + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/tmp", + "name": "tmp" + }, + { + "mountPath": "/root/.cache/vllm", + "name": "vllm-cache" + }, + { + "mountPath": "/workspace/vllm/examples", + "name": "chat-templates" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-8z6jh", + "readOnly": true + } + ] + } + ], + "dnsPolicy": "ClusterFirst", + "enableServiceLinks": true, + "hostIPC": true, + "nodeName": "k3d-k3dgpu-g-h54q-1-server-0", + "preemptionPolicy": "PreemptLowerPriority", + "priority": 0, + "restartPolicy": "Always", + "schedulerName": "default-scheduler", + "securityContext": {}, + "serviceAccount": "default", + "serviceAccountName": "default", + 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"name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:46:42Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:46:41Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:48:29Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:48:29Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:46:41Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "containerID": "containerd://a6210852d4c3b065ba39183bd2508ce5ddc1acf1a52fd2c6be726c31163c7d8a", + "image": "sha256:52d115f063d1ca744189d978bb8671e5c4d00b9ba0269351efb6dcb660f3a56b", + "imageID": "docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05", + "lastState": {}, + "name": "vllm", + "ready": true, + "resources": {}, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:47:33Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 1001 + } + }, + "volumeMounts": [ + { + "mountPath": "/data", + "name": "model-volume" + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/tmp", + "name": "tmp" + }, + { + "mountPath": "/root/.cache/vllm", + "name": "vllm-cache" + }, + { + "mountPath": "/workspace/vllm/examples", + "name": "chat-templates" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-8z6jh", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.19.0.2", + "hostIPs": [ + { + "ip": "172.19.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.9", + "podIPs": [ + { + "ip": "10.42.0.9" + } + ], + "qosClass": "BestEffort", + "resources": {}, + "startTime": "2026-10-29T19:46:41Z" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/pods.txt b/bench/h54/results/2026-10-29/H54q/hold1/R/pods.txt new file mode 100644 index 00000000..1e59d94a --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h54 vq-7c45b79c77-xvz77 1/1 Running 0 2m5s 10.42.0.9 k3d-k3dgpu-g-h54q-1-server-0 +kube-system coredns-577d995dff-lf2zc 1/1 Running 0 2m24s 10.42.0.7 k3d-k3dgpu-g-h54q-1-server-0 +kube-system helm-install-gateway-api-crd-s6vvf 0/1 Completed 0 2m25s 10.42.0.3 k3d-k3dgpu-g-h54q-1-server-0 +kube-system local-path-provisioner-6858d854cf-xfk67 1/1 Running 0 2m24s 10.42.0.5 k3d-k3dgpu-g-h54q-1-server-0 +kube-system metrics-server-778c4649b4-f4fkl 1/1 Running 0 2m24s 10.42.0.8 k3d-k3dgpu-g-h54q-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-7vxlc 1/1 Running 0 2m24s 10.42.0.4 k3d-k3dgpu-g-h54q-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-rqwgf 1/1 Running 0 2m24s 10.42.0.6 k3d-k3dgpu-g-h54q-1-server-0 +node-feature-discovery nfd-worker-md6x4 1/1 Running 0 2m25s 10.42.0.2 k3d-k3dgpu-g-h54q-1-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/q.json b/bench/h54/results/2026-10-29/H54q/hold1/R/q.json new file mode 100644 index 00000000..0fef34eb --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/q.json @@ -0,0 +1,36 @@ +{ + "todo": 200, + "answered": 200, + "errors": 0, + "discarded": 0, + "cut": 0, + "not_asked": 0, + "stopped": null, + "end": "queue empty", + "t0": 1793303326.839, + "t1": 1793303868.589, + "first_items": [ + 0, + 1, + 2, + 3, + 4, + 5, + 6, + 7, + 8, + 9, + 10, + 11, + 12, + 13, + 14, + 15, + 16, + 17, + 18, + 19 + ], + "status": "measured", + "reason": "200 answered, 0 errored, 0 cut, 0 not asked (queue empty)" +} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/server.log.gz b/bench/h54/results/2026-10-29/H54q/hold1/R/server.log.gz new file mode 100644 index 00000000..755102eb Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold1/R/server.log.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold1/R/status.json b/bench/h54/results/2026-10-29/H54q/hold1/R/status.json new file mode 100644 index 00000000..ea1fd9fe --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/R/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "200 answered, 0 errored, 0 cut, 0 not asked (queue empty)", "at": "2026-10-29T19:57:48Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/Vi/arm.log b/bench/h54/results/2026-10-29/H54q/hold1/Vi/arm.log new file mode 100644 index 00000000..5127ef38 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/Vi/arm.log @@ -0,0 +1 @@ +2026-10-29T20:19:52Z Vi status not_reached: 258 s before the item stop (< 300) diff --git a/bench/h54/results/2026-10-29/H54q/hold1/Vi/status.json b/bench/h54/results/2026-10-29/H54q/hold1/Vi/status.json new file mode 100644 index 00000000..4c90c220 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/Vi/status.json @@ -0,0 +1 @@ +{"status": "not_reached", "reason": "258 s before the item stop (< 300)", "at": "2026-10-29T20:19:52Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold1/hold.log b/bench/h54/results/2026-10-29/H54q/hold1/hold.log new file mode 100644 index 00000000..8b529d8b --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/hold.log @@ -0,0 +1,11 @@ +2026-10-29T19:46:41Z R start (2249 s before the item stop) +2026-10-29T19:48:46Z R ready after 125 s +2026-10-29T19:48:46Z R items: 200 to ask +2026-10-29T19:57:48Z R status measured: 200 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T19:58:06Z OVQ start (1564 s before the item stop) +2026-10-29T19:58:40Z OVQ ready after 34 s +2026-10-29T19:58:40Z OVQ items: 150 to ask +2026-10-29T20:19:34Z OVQ status measured: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T20:19:51Z OVB status not_reached: 259 s before the item stop (< 300) +2026-10-29T20:19:51Z Lg status not_reached: 259 s before the item stop (< 300) +2026-10-29T20:19:52Z Vi status not_reached: 258 s before the item stop (< 300) diff --git a/bench/h54/results/2026-10-29/H54q/hold1/node.json b/bench/h54/results/2026-10-29/H54q/hold1/node.json new file mode 100644 index 00000000..95bf3580 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/node.json @@ -0,0 +1,293 @@ +{ + "apiVersion": "v1", + "items": [ + { + "apiVersion": "v1", + "kind": "Node", + "metadata": { + "annotations": { + "alpha.kubernetes.io/provided-node-ip": "172.19.0.2", + "flannel.alpha.coreos.com/backend-data": "{\"VNI\":1,\"VtepMAC\":\"e6:66:11:4a:81:2d\"}", + "flannel.alpha.coreos.com/backend-type": "vxlan", + "flannel.alpha.coreos.com/kube-subnet-manager": "true", + "flannel.alpha.coreos.com/public-ip": "172.19.0.2", + "k3s.io/hostname": "k3d-k3dgpu-g-h54q-1-server-0", + "k3s.io/internal-ip": "172.19.0.2", + "k3s.io/node-args": 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+ "node.alpha.kubernetes.io/ttl": "0", + "volumes.kubernetes.io/controller-managed-attach-detach": "true" + }, + "creationTimestamp": "2026-10-29T19:46:15Z", + "finalizers": [ + "wrangler.cattle.io/node" + ], + "labels": { + "beta.kubernetes.io/arch": "amd64", + "beta.kubernetes.io/instance-type": "k3s", + "beta.kubernetes.io/os": "linux", + "ei-inference-eligible": "true", + "ei-infra-eligible": "true", + "experimental.k3d-gpu.io/dra": "true", + "experimental.k3d-gpu.io/image-volume": "true", + "feature.node.kubernetes.io/cpu-cpuid.ADX": "true", + "feature.node.kubernetes.io/cpu-cpuid.AESNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXBF16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXFP16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXINT8": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXTILE": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_128": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_256": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_512": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_VERSION": "1", + "feature.node.kubernetes.io/cpu-cpuid.AVX2": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512BF16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512BITALG": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512BW": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512CD": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512DQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512F": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512FP16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512IFMA": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VBMI": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VBMI2": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VL": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VNNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VPOPCNTDQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVXVNNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.BHI_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.CETIBT": "true", + "feature.node.kubernetes.io/cpu-cpuid.CETSS": "true", + "feature.node.kubernetes.io/cpu-cpuid.CLDEMOTE": "true", + "feature.node.kubernetes.io/cpu-cpuid.CMPSB_SCADBS_SHORT": "true", + "feature.node.kubernetes.io/cpu-cpuid.CMPXCHG8": "true", + "feature.node.kubernetes.io/cpu-cpuid.ENQCMD": "true", + "feature.node.kubernetes.io/cpu-cpuid.FLUSH_L1D": "true", + "feature.node.kubernetes.io/cpu-cpuid.FMA3": "true", + "feature.node.kubernetes.io/cpu-cpuid.FSRM": "true", + "feature.node.kubernetes.io/cpu-cpuid.FXSR": "true", + "feature.node.kubernetes.io/cpu-cpuid.FXSROPT": "true", + "feature.node.kubernetes.io/cpu-cpuid.GFNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.HRESET": "true", + "feature.node.kubernetes.io/cpu-cpuid.IA32_ARCH_CAP": "true", + "feature.node.kubernetes.io/cpu-cpuid.IA32_CORE_CAP": "true", + "feature.node.kubernetes.io/cpu-cpuid.IBPB": "true", + "feature.node.kubernetes.io/cpu-cpuid.IDPRED_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.LAHF": "true", + "feature.node.kubernetes.io/cpu-cpuid.MCDT_NO": "true", + "feature.node.kubernetes.io/cpu-cpuid.MD_CLEAR": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVBE": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVDIR64B": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVDIRI": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVSB_ZL": "true", + "feature.node.kubernetes.io/cpu-cpuid.OSXSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.PCONFIG": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_CYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_INSTRUCTIONS": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_REFCYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_TOPDOWN_SLOTS": "true", + "feature.node.kubernetes.io/cpu-cpuid.PREFETCHI": "true", + "feature.node.kubernetes.io/cpu-cpuid.PSFD": "true", + "feature.node.kubernetes.io/cpu-cpuid.RRSBA_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SERIALIZE": "true", + "feature.node.kubernetes.io/cpu-cpuid.SHA": "true", + "feature.node.kubernetes.io/cpu-cpuid.SPEC_CTRL_SSBD": "true", + "feature.node.kubernetes.io/cpu-cpuid.STIBP": "true", + "feature.node.kubernetes.io/cpu-cpuid.STOSB_SHORT": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSCALL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSEE": "true", + "feature.node.kubernetes.io/cpu-cpuid.TME": "true", + "feature.node.kubernetes.io/cpu-cpuid.TSXLDTRK": "true", + "feature.node.kubernetes.io/cpu-cpuid.VAES": "true", + "feature.node.kubernetes.io/cpu-cpuid.VMX": "true", + "feature.node.kubernetes.io/cpu-cpuid.VPCLMULQDQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.WAITPKG": "true", + "feature.node.kubernetes.io/cpu-cpuid.WBNOINVD": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V1": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V2": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V3": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V4": "true", + "feature.node.kubernetes.io/cpu-cpuid.X87": "true", + "feature.node.kubernetes.io/cpu-cpuid.XGETBV1": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEC": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEOPT": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVES": "true", + "feature.node.kubernetes.io/cpu-cstate.enabled": "true", + "feature.node.kubernetes.io/cpu-hardware_multithreading": "true", + "feature.node.kubernetes.io/cpu-model.family": "6", + "feature.node.kubernetes.io/cpu-model.hypervisor": "none", + "feature.node.kubernetes.io/cpu-model.id": "173", + "feature.node.kubernetes.io/cpu-model.vendor_id": "Intel", + "feature.node.kubernetes.io/cpu-pstate.scaling_governor": "performance", + "feature.node.kubernetes.io/cpu-pstate.status": "active", + "feature.node.kubernetes.io/cpu-pstate.turbo": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ_FULL": "true", + "feature.node.kubernetes.io/kernel-version.full": "7.0.0-31-generic", + "feature.node.kubernetes.io/kernel-version.major": "7", + "feature.node.kubernetes.io/kernel-version.minor": "0", + "feature.node.kubernetes.io/kernel-version.revision": "0", + "feature.node.kubernetes.io/memory-nv.present": "true", + "feature.node.kubernetes.io/pci-0300_1a03.present": "true", + "feature.node.kubernetes.io/pci-0300_8086.present": "true", + "feature.node.kubernetes.io/pci-0300_8086.sriov.capable": "true", + "feature.node.kubernetes.io/pci-0b40_8086.present": "true", + "feature.node.kubernetes.io/pci-0b40_8086.sriov.capable": "true", + "feature.node.kubernetes.io/storage-nonrotationaldisk": "true", + "feature.node.kubernetes.io/system-os_release.ID": "ubuntu", + "feature.node.kubernetes.io/system-os_release.VERSION_ID": "26.04", + "feature.node.kubernetes.io/system-os_release.VERSION_ID.major": "26", + "feature.node.kubernetes.io/system-os_release.VERSION_ID.minor": "04", + "gpu.intel.com/device-id.0300-e223.count": "4", + "gpu.intel.com/device-id.0300-e223.present": "true", + "gpu.intel.com/family": "B_Series", + "gpu.intel.com/product": "Arc_Pro_B70", + "intel.feature.node.kubernetes.io/gpu": "true", + "kubernetes.io/arch": "amd64", + "kubernetes.io/hostname": "k3d-k3dgpu-g-h54q-1-server-0", + "kubernetes.io/os": "linux", + "node-role.kubernetes.io/control-plane": "true", + "node.kubernetes.io/instance-type": "k3s", + "nvidia.com/gpu.present": "false" + }, + "name": "k3d-k3dgpu-g-h54q-1-server-0", + "resourceVersion": "704", + "uid": "be385598-b30a-4e20-b418-f5810f16f742" + }, + "spec": { + "podCIDR": "10.42.0.0/24", + "podCIDRs": [ + "10.42.0.0/24" + ], + "providerID": "k3s://k3d-k3dgpu-g-h54q-1-server-0" + }, + "status": { + "addresses": [ + { + "address": "172.19.0.2", + "type": "InternalIP" + }, + { + "address": "k3d-k3dgpu-g-h54q-1-server-0", + "type": "Hostname" + } + ], + "allocatable": { + "cpu": "96", + "ephemeral-storage": "3687149282645", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "527664744Ki", + "pods": "110" + }, + "capacity": { + "cpu": "96", + "ephemeral-storage": "3724393213952", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "527767144Ki", + "pods": "110" + }, + "conditions": [ + { + "lastHeartbeatTime": "2026-10-29T19:46:25Z", + "lastTransitionTime": "2026-10-29T19:46:15Z", + "message": "kubelet has sufficient memory available", + "reason": "KubeletHasSufficientMemory", + "status": "False", + "type": "MemoryPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T19:46:25Z", + "lastTransitionTime": "2026-10-29T19:46:15Z", + "message": "kubelet has no disk pressure", + "reason": "KubeletHasNoDiskPressure", + "status": "False", + "type": "DiskPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T19:46:25Z", + "lastTransitionTime": "2026-10-29T19:46:15Z", + "message": "kubelet has sufficient PID available", + "reason": "KubeletHasSufficientPID", + "status": "False", + "type": "PIDPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T19:46:25Z", + "lastTransitionTime": "2026-10-29T19:46:15Z", + "message": "kubelet is posting ready status", + "reason": "KubeletReady", + "status": "True", + "type": "Ready" + } + ], + "daemonEndpoints": { + "kubeletEndpoint": { + "Port": 10250 + } + }, + "declaredFeatures": [ + "ExtendWebSocketsToKubelet", + "InPlacePodLevelResourcesVerticalScaling", + "InPlacePodVerticalScalingInitContainers", + "RestartAllContainersOnContainerExits" + ], + "features": { + "supplementalGroupsPolicy": true + }, + "nodeInfo": { + "architecture": "amd64", + "bootID": "d40bd344-edb4-4aee-85a8-20b25e4305e8", + "containerRuntimeVersion": "containerd://2.3.4-k3s1", + "kernelVersion": "7.0.0-31-generic", + "kubeProxyVersion": "", + "kubeletVersion": "v1.37.1+k3s1", + "machineID": "", + "operatingSystem": "linux", + "osImage": "Ubuntu 26.04.1 LTS", + "runningInUserNamespace": false, + "systemUUID": "00000000-0000-0000-0000-7cc255947e5f" + }, + "runtimeHandlers": [ + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "nvidia" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "runc" + }, + { + "features": { + "recursiveReadOnlyMounts": false, + "userNamespaces": false + }, + "name": "runhcs-wcow-process" + } + ] + } + } + ], + "kind": "List", + "metadata": { + "resourceVersion": "" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/hold1/post.txt b/bench/h54/results/2026-10-29/H54q/hold1/post.txt new file mode 100644 index 00000000..50cd6681 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/post.txt @@ -0,0 +1,15 @@ +2026-10-29T20:20:00Z + 20:20:00 up 43 days, 21:34, 9 users, load average: 35.33, 48.69, 44.71 +%CPU PID USER COMMAND +46.2 3900003 root sglang::schedul +44.1 3900352 root sglang::schedul +42.1 529626 root sglang::schedul +39.8 529961 root sglang::schedul +24.7 3898329 root python +17.8 528967 root python +15.7 872705 65532 epp + 2.6 3911 nobody node_exporter + 1.2 3934 root python3 + 1.0 2651 root dockerd +aiperf_procs: 0 +/dev/nvme0n1p1 3637102748 1028319848 2608766516 29% / diff --git a/bench/h54/results/2026-10-29/H54q/hold1/pre.txt b/bench/h54/results/2026-10-29/H54q/hold1/pre.txt new file mode 100644 index 00000000..712533cc --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/pre.txt @@ -0,0 +1,15 @@ +2026-10-29T19:46:09Z + 19:46:09 up 43 days, 21:00, 9 users, load average: 7.41, 6.97, 4.36 +%CPU PID USER COMMAND +46.1 3900003 root sglang::schedul +44.0 3900352 root sglang::schedul +42.0 529626 root sglang::schedul +39.7 529961 root sglang::schedul +24.6 3898329 root python +17.8 528967 root python +15.7 872705 65532 epp + 2.6 3911 nobody node_exporter + 1.2 3934 root python3 + 1.0 2651 root dockerd +aiperf_procs: 0 +/dev/nvme0n1p1 3637102748 1028270944 2608815420 29% / diff --git a/bench/h54/results/2026-10-29/H54q/hold1/rc b/bench/h54/results/2026-10-29/H54q/hold1/rc new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/rc @@ -0,0 +1 @@ +0 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/reproduce.txt b/bench/h54/results/2026-10-29/H54q/hold1/reproduce.txt new file mode 100644 index 00000000..ee33f7b5 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/reproduce.txt @@ -0,0 +1,63 @@ +# H54 Reproduce header, 2026-10-29T19:46:09Z +host: 905a08313800 +cpu: Intel(R) Xeon(R) 6741P; 96 CPUs; sockets 1; NUMA nodes 1 +microcode: 0xa000133 +kernel: 7.0.0-31-generic; cmdline: BOOT_IMAGE=/vmlinuz-7.0.0-31-generic root=UUID=abbc5069-acd3-4ada-977a-807bb52ff382 ro console=tty1 console=ttyS0 +memory: 527767144 kB; swap: 0 kB +governor: performance; smt: 1 +amx: amx_bf16 amx_int8 amx_tile +cpuset: none (no node cpuset; the k3d node container sees every CPU; optimized arms bind threads to 0-47 with the engine's own knob) +docker: 29.8.0 +k3d.real: k3d version v5.9.0 sha256 06d8f25bc3a971c4 +kubectl: Client Version: v1.35.2 sha256 924eb50779153f20 +helm: version.BuildInfo{Version:"v4.1.1", GitCommit:"5caf0044d4ef3d62a955440272999e139aafbbed", GitTreeState:"clean", GoVersion:"go1.25.7", KubeClientVersion:"v1.35"} sha256 c72e64e5fff65d48 +uv: uv 0.8.0 sha256 19af10f031be0587 +repo: 85e77267a059578d412461cf69ebf5680170802b 0 uncommitted +eat: 0d3438d7119de44cafc5903f66665c0b623e3333 +images: + vllm024: vllm/vllm-openai-cpu:v0.24.0@sha256:b0e6f8604413a8bfcca8836bb4b57b47f1aa653957e07f8903ece531309981a1 + vllm032: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + llamacpp: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + sglang: lmsysorg/sglang:v0.5.22-xeon@sha256:4e5c413ed9a31f38f74e18aa9b645d65a0b0a023d42f63edb4e2b412ea1a230f + ovms: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + ovms_eat: 2025.4@sha256:c370720007564bbdcbca13b9b714e4537068542cda512e8095259e66b617962a + node: cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76 +models (revision, from .pinned-revision): + Intel_Qwen3.8-27B-q4km-AutoRound/ Intel/Qwen3.8-27B-q4km-AutoRound 4b30b30e0ac2cc54a2f50738cfccd6c608f94ad4 + Intel_gemma-4-26B-A4B-it-int4-AutoRound/ edff62728a3c79ec541983b86a21674500e0f05b + google_gemma-4-26B-A4B-it-qat-q4_0-gguf/ google/gemma-4-26B-A4B-it-qat-q4_0-gguf d1c082be9cf3c8a514acf63b8761f4b41935842e + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant 9537141506fe8875b3ed45b264af13580cb29166 + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized f1e06dc520982d9b9edd76859fdb7ab209449949 + k3dgpu_gemma-4-26B-A4B-it-qat-int4-sym-g32-ov/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'revision': 'f1e06dc520982d9b9edd76859fdb7ab209449949'} int4 sym, group 32, ratio 1.0 + OpenVINO/gemma-4-26b-a4b-it-int4-ov/ OpenVINO/gemma-4-26b-a4b-it-int4-ov 4e5885c3f03844f5887982def09708bdc9f53f7a + k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant', 'revision': '9537141506fe8875b3ed45b264af13580cb29166'} None + k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'revision': 'f1e06dc520982d9b9edd76859fdb7ab209449949'} int4 sym, group 32, ratio 1.0 +weights sha256: + 3e737281ffb4ba3feae0a7c818a8d56070e97877b4f1a87a4fe89c005b5372ee model-00001-of-00008.safetensors + 5690ee1b23fa4715f90a4f7449176b21539e6f8389d10681931eb12c62633404 model-00002-of-00008.safetensors + 19dc834bdecd207848674ef11b8f149732c9e8d851a8bfa01488dfaf5e11ca20 model-00003-of-00008.safetensors + ed49f933fbfc917ef003a1767bd0fef151255835743a495c67853f38d74eaec1 model-00004-of-00008.safetensors + 6a7e8bd71dc0456368b4b473b283d8e5fcfc563b9386fca4813a216168ada212 model-00005-of-00008.safetensors + 7a9c2d79cd2a2466e34fdf36a51746c6a67547ed27ca70203200e3c4bd1956a9 model-00006-of-00008.safetensors + f25ffc75beeb6f0db75d6d671030598f318a03a87794119d81dfd28382d5e9ce model-00007-of-00008.safetensors + f2333fbf6106311ab5e6e3b7b09046f9792f999e15de75d752ca588e3663ca09 model-00008-of-00008.safetensors + 0f887130aef63545d655ea2addab6168680efe9b6531cbc46c2e2fc599ac8abe OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_language_model.bin + 2d8dfbdcc2174aa6223621502dc566d9e881b7c3db3ff2e1e96a65cee7827edb OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_model.bin + 57fda7ab0340cda71819a3ecd5f9e52e346260fe840fddcc9c87d3614b5a815b OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_per_layer_model.bin + 13c9d8ff37be9592e06e8a9f65e2b047bdc6b24d5bc905c022e4d18996b3c382 OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_vision_embeddings_model.bin + a359953a076b877db30c31dbbb4c6d93b4a6e017ee5db5784247e4d4c0dd4f3b google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B-it-mmproj.gguf + 3eca3b8f6d7baf218a7dd6bba5fb59a56ee25fe2d567b6f5f589b4f697eca51d google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + c082cc581c3ec90d70285c1a41c81544ff56cbc96650f16c900a280940655801 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/model.safetensors + d57e8bde0feda8b0ebf51a81d04b5d988f82fead7f9242d9231625929421453e google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00001-of-00002.safetensors + e5e6e258f562a77be81b0f5136eb2ca71e0d973cf30c4291e4d2c7b1fd712f99 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00002-of-00002.safetensors +data: gsm8k-test-0-199.jsonl 45e54be2df7426cb (openai/gsm8k main test @ 740312ad); ttft-prompt.txt b10cd3c79003d22e +H54q manifests (h54.py q-render, amendment Q2), sha256: + R: 15b0996db0f3e393 + OVQ: 453c8d628025fc6d + OVB: b7840780b78c5c1e + Lg: 720eaf9c5fc252ed + Vi: 95bc51d6588de0af +engine flags (Lg, Lg-mtp, Sg as rendered; B1g/Vq/Vi/A1o/A1g/B3g in each arm's deploy.yaml): + Lg: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 48 -Cr 0-47 --cpu-strict 1 --jinja + Lg-mtp: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 48 -Cr 0-47 --cpu-strict 1 --jinja -md /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf --spec-type draft-mtp + Sg: python3 -m sglang.launch_server --model-path /models/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized --device cpu --attention-backend intel_amx --tp 1 --host 0.0.0.0 --port 30000 --served-model-name gemma --max-total-tokens 65536 SGLANG_CPU_OMP_THREADS_BIND=0-47 diff --git a/bench/h54/results/2026-10-29/H54q/hold1/serving.jsonl.gz b/bench/h54/results/2026-10-29/H54q/hold1/serving.jsonl.gz new file mode 100644 index 00000000..6da751bc Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold1/serving.jsonl.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold1/up.log b/bench/h54/results/2026-10-29/H54q/hold1/up.log new file mode 100644 index 00000000..3e9ef13b --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/up.log @@ -0,0 +1,28 @@ +==> Accelerators: amx +==> Experimental features (auto): dra image-volume +==> Creating k3d cluster 'k3dgpu-g-h54q-1' with image cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76... +INFO[0000] Prep: Network +INFO[0000] Created network 'k3d-k3dgpu-g-h54q-1' +INFO[0000] Created image volume k3d-k3dgpu-g-h54q-1-images +INFO[0000] Starting new tools node... +INFO[0000] Starting node 'k3d-k3dgpu-g-h54q-1-tools' +INFO[0001] Creating node 'k3d-k3dgpu-g-h54q-1-server-0' +INFO[0001] Using the k3d-tools node to gather environment information +INFO[0001] HostIP: using network gateway 172.19.0.1 address +INFO[0001] Starting cluster 'k3dgpu-g-h54q-1' +INFO[0001] Starting servers... +INFO[0001] Starting node 'k3d-k3dgpu-g-h54q-1-server-0' +INFO[0004] All agents already running. +INFO[0004] All helpers already running. +INFO[0004] Injecting records for hostAliases (incl. host.k3d.internal) and for 1 network members into CoreDNS configmap... +INFO[0006] Cluster 'k3dgpu-g-h54q-1' created successfully! +INFO[0006] --kubeconfig-update-default=false --> sets --kubeconfig-switch-context=false +INFO[0006] You can now use it like this: +export KUBECONFIG=$(/home/devcloud/k3dgpu-gemma/bin/k3d.real kubeconfig write k3dgpu-g-h54q-1) +kubectl cluster-info +==> kubectl for this cluster: export KUBECONFIG=/home/devcloud/k3dgpu-gemma/results/H54q/hold1/kubeconfig +==> Waiting for nodes Ready... +node/k3d-k3dgpu-g-h54q-1-server-0 condition met +==> Waiting for cluster DNS (CoreDNS)... +==> Verifying accelerators are schedulable... +==> Accelerators schedulable: amx=1. Try: k3d-gpu test diff --git a/bench/h54/results/2026-10-29/H54q/hold1/wait_s b/bench/h54/results/2026-10-29/H54q/hold1/wait_s new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold1/wait_s @@ -0,0 +1 @@ +0 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/apply.log b/bench/h54/results/2026-10-29/H54q/hold2/Lg/apply.log new file mode 100644 index 00000000..b1234f13 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/apply.log @@ -0,0 +1,3 @@ +namespace/h54 created +deployment.apps/lg created +service/lg created diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/arm.log b/bench/h54/results/2026-10-29/H54q/hold2/Lg/arm.log new file mode 100644 index 00000000..77869c92 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/arm.log @@ -0,0 +1,5 @@ +2026-10-29T20:41:54Z Lg start (1098 s before the item stop) +2026-10-29T20:42:28Z Lg ready after 34 s +2026-10-29T20:42:28Z Lg items: 150 to ask +q-items Lg: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T20:53:40Z Lg status measured: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/boot.json b/bench/h54/results/2026-10-29/H54q/hold2/Lg/boot.json new file mode 100644 index 00000000..a9bdaba6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/boot.json @@ -0,0 +1 @@ +{"apply": 1793306514, "ready": 1793306548, "boot_s": 34, "limit_s": 900} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/delete.log b/bench/h54/results/2026-10-29/H54q/hold2/Lg/delete.log new file mode 100644 index 00000000..b6d35e93 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/delete.log @@ -0,0 +1,7 @@ +namespace "h54" deleted +deployment.apps "lg" deleted from h54 namespace +service "lg" deleted from h54 namespace +No resources found +time="2026-10-29T20:53:46Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T20:53:46Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/deploy.yaml b/bench/h54/results/2026-10-29/H54q/hold2/Lg/deploy.yaml new file mode 100644 index 00000000..5fbe1faa --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/deploy.yaml @@ -0,0 +1,74 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h54 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: lg + namespace: h54 + labels: + app: lg +spec: + replicas: 1 + selector: + matchLabels: + app: lg + template: + metadata: + labels: + app: lg + spec: + containers: + - name: server + image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + imagePullPolicy: IfNotPresent + ports: + - name: http + containerPort: 8080 + volumeMounts: + - name: models + mountPath: /models + readOnly: true + - name: shm + mountPath: /dev/shm + args: + - -m + - /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + - --host + - 0.0.0.0 + - --port + - '8080' + - --alias + - gemma + - -t + - '48' + - -Cr + - 0-47 + - --cpu-strict + - '1' + - --jinja + terminationGracePeriodSeconds: 30 + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory + - name: shm + emptyDir: + medium: Memory + sizeLimit: 8Gi +--- +apiVersion: v1 +kind: Service +metadata: + name: lg + namespace: h54 +spec: + selector: + app: lg + ports: + - name: http + port: 8080 + targetPort: 8080 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/describe.txt b/bench/h54/results/2026-10-29/H54q/hold2/Lg/describe.txt new file mode 100644 index 00000000..a6319511 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/describe.txt @@ -0,0 +1,80 @@ +Name: lg-64c55654d8-8258f +Namespace: h54 +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54q-2-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 20:41:54 +0000 +Labels: app=lg + pod-template-hash=64c55654d8 +Annotations: +Status: Running +IP: 10.42.0.10 +IPs: + IP: 10.42.0.10 +Controlled By: ReplicaSet/lg-64c55654d8 +Containers: + server: + Container ID: containerd://d5ab8c135aae99cd803d3757bdec43dd7c7601bf1a0bfae7c1dba90a68b7c778 + Image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Image ID: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Port: 8080/TCP (http) + Host Port: 0/TCP (http) + Args: + -m + /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + --host + 0.0.0.0 + --port + 8080 + --alias + gemma + -t + 48 + -Cr + 0-47 + --cpu-strict + 1 + --jinja + State: Running + Started: Thu, 29 Oct 2026 20:42:10 +0000 + Ready: True + Restart Count: 0 + Environment: + Mounts: + /dev/shm from shm (rw) + /models from models (ro) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-jhtpv (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + shm: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: Memory + SizeLimit: 8Gi + kube-api-access-jhtpv: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: BestEffort +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 11m default-scheduler Successfully assigned h54/lg-64c55654d8-8258f to k3d-k3dgpu-g-h54q-2-server-0 + Normal Pulling 11m kubelet spec.containers{server}: Pulling image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" + Normal Pulled 11m kubelet spec.containers{server}: Successfully pulled image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" in 15.224s (15.224s including waiting). Image size: 309412002 bytes. + Normal Created 11m kubelet spec.containers{server}: Container created + Normal Started 11m kubelet spec.containers{server}: Container started diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/hello.json b/bench/h54/results/2026-10-29/H54q/hold2/Lg/hello.json new file mode 100644 index 00000000..306cc9b0 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","content":"","reasoning_content":"The user said \"Say hello.\"\nThe user wants me to"}}],"created":1793306548,"model":"gemma","system_fingerprint":"b11749-1d88cb05f","object":"chat.completion","usage":{"completion_tokens":16,"prompt_tokens":19,"total_tokens":35,"prompt_tokens_details":{"cached_tokens":0}},"id":"chatcmpl-seCnYRavrhQu9rsMljpevTNgnX5x2o61","timings":{"cache_n":0,"prompt_n":19,"prompt_ms":147.864,"prompt_per_token_ms":7.782315789473684,"prompt_per_second":128.49645620299734,"predicted_n":16,"predicted_ms":299.607,"predicted_per_token_ms":19.9738,"predicted_per_second":50.06558591755199}} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/image.txt b/bench/h54/results/2026-10-29/H54q/hold2/Lg/image.txt new file mode 100644 index 00000000..b00802a6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/image.txt @@ -0,0 +1 @@ +ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/isa.txt b/bench/h54/results/2026-10-29/H54q/hold2/Lg/isa.txt new file mode 100644 index 00000000..7b8dec53 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/isa.txt @@ -0,0 +1,2 @@ +96 +96 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/items.jsonl b/bench/h54/results/2026-10-29/H54q/hold2/Lg/items.jsonl new file mode 100644 index 00000000..0bb1f6e3 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/items.jsonl @@ -0,0 +1,150 @@ +{"seq": 1, "idx": 55, "ok": true, "gold": "14", "reply": "To find out how many bags Jean can fill, follow these steps:\n\n1. **Find the number of remaining lollipops:**\n Jean starts with 30 lollipops and eats 2.\n $30 - 2 = 28$ lollipops remaining.\n\n2. **Calculate the number of bags:**\n Jean wants to put 2 lollipops in each bag. To find the number of bags, divide the remaining lollipops by the number of lollipops per bag.\n $28 \\div 2 = 14$ bags.\n\nJean can fill 14 bags.\n\nAnswer: 14", "usage": {"completion_tokens": 143, "prompt_tokens": 75, "total_tokens": 218, "prompt_tokens_details": {"cached_tokens": 0}}, "error": null, "prior_errors": 0, "t0": 1793306548.549, "t1": 1793306556.689, "s": 8.14} +{"seq": 2, "idx": 56, "ok": true, "gold": "3", "reply": "To find out how many times Peter can go to the movies, we first need to determine the total cost of one trip to the movies.\n\n1. **Calculate the cost per trip:**\n * Cost of a ticket: $7\n * Cost of popcorn: $7\n * Total cost per trip = $7 + $7 = $14\n\n2. **Calculate the number of trips Peter can afford:**\n * Total money available: $42\n * Cost per trip: $14\n * Number of trips = Total money / Cost per trip\n * Number of trips = $42 / $14\n\n3. **Perform the division:**\n * $42 \\div 14 = 3$\n\nPeter can go to the movies 3 times.\n\nAnswer: 3", "usage": {"completion_tokens": 185, "prompt_tokens": 74, "total_tokens": 259, "prompt_tokens_details": {"cached_tokens": 0}}, "error": null, "prior_errors": 0, "t0": 1793306548.549, "t1": 1793306559.281, "s": 10.73} +{"seq": 3, "idx": 50, "ok": true, "gold": "294", "reply": "To find out how much Lloyd makes on eggs per week, follow these steps:\n\n1. **Calculate the number of eggs produced per week:**\n Lloyd produces 252 eggs per day.\n There are 7 days in a week.\n $252 \\text{ eggs/day} \\times 7 \\text{ days/week} = 1,764 \\text{ eggs/week}$.\n\n2. **Convert the total number of eggs into dozens:**\n There are 12 eggs in a dozen.\n $1,764 \\text{ eggs} \\div 12 \\text{ eggs/dozen} = 147 \\text{ dozens}$.\n\n3. **Calculate the total weekly revenue:**\n Lloyd sells each dozen for $2.\n $147 \\text{ dozens} \\times \\$2/\\text{dozen} = \\$294$.\n\nAnswer: 294", "usage": {"completion_tokens": 207, "prompt_tokens": 65, "total_tokens": 272, "prompt_tokens_details": {"cached_tokens": 0}}, "error": null, "prior_errors": 0, "t0": 1793306548.545, "t1": 1793306560.747, "s": 12.2} +{"seq": 4, "idx": 52, "ok": true, "gold": "15", "reply": "To find out how many toys Uriah needs to remove, we first need to calculate the total weight of the comic books he is removing.\n\n1. **Calculate the weight of the comic books:**\n Uriah removes 30 comic books, and each comic book weighs $\\frac{1}{4}$ pound.\n $$\\text{Weight of comic books} = 30 \\times \\frac{1}{4} = \\frac{30}{4} = 7.5 \\text{ pounds}$$\n\n2. **Calculate the remaining weight needed to reach 15 pounds:**\n Uriah needs to remove a total of 15 pounds. We subtract the weight of the comic books from the total target weight.\n $$\\text{Remaining weight needed} = 15 - 7.5 = 7.5 \\text{ pounds}$$\n\n3. **Calculate the number of toys needed:**\n Each toy weighs $\\frac{1}{2}$ pound. We divide the remaining weight needed by the weight of one toy.\n $$\\text{Number of toys} = \\frac{7.5}{\\frac{1}{2}}$$\n Dividing by $\\frac{1}{2}$ is the same as multiplying by 2:\n $$\\text{Number of toys} = 7.5 \\times 2 = 15$$\n\nUriah needs to remove 15 toys.\n\nAnswer: 15", "usage": {"completion_tokens": 306, "prompt_tokens": 92, "total_tokens": 398, "prompt_tokens_details": {"cached_tokens": 0}}, "error": null, "prior_errors": 0, "t0": 1793306548.547, "t1": 1793306566.53, "s": 17.98} +{"seq": 5, "idx": 61, "ok": true, "gold": "1430", "reply": "To find the total amount Janet paid, we need to calculate the cost of materials, the cost of construction, and the cost of insurance.\n\n1. **Calculate the cost of materials and construction:**\n Cost of materials = $500\n Cost of construction = $800\n Subtotal = $500 + $800 = $1,300\n\n2. **Calculate the cost of insurance:**\n The insurance is 10% of the subtotal ($1,300).\n Insurance = 10% of $1,300\n Insurance = 0.10 * $1,300 = $130\n\n3. **Calculate the total amount paid:**\n Total = Subtotal + Insurance\n Total = $1,300 + $130 = $1,430\n\nAnswer: 1430", "usage": {"completion_tokens": 199, "prompt_tokens": 88, "total_tokens": 287, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.552, "t1": 1793306568.875, "s": 20.32} +{"seq": 6, "idx": 54, "ok": true, "gold": "40", "reply": "To find the total number of kittens the Doubtfire family now has, we need to sum the number of adopted kittens and the number of new kittens born to the house cats.\n\n1. **Adopted kittens:** The problem states they have **7** adopted kittens.\n2. **Patchy's kittens:** Patchy had thrice (3 times) the number of adopted kittens.\n $3 \\times 7 = 21$ kittens.\n3. **Trixie's kittens:** The problem states Trixie had **12** kittens.\n\nNow, we add all the kittens together:\nTotal kittens = (Adopted kittens) + (Patchy's kittens) + (Trixie's kittens)\nTotal kittens = $7 + 21 + 12$\n\nCalculation:\n$7 + 21 = 28$\n$28 + 12 = 40$\n\nThe Doubtfire family now has 40 kittens.\n\nAnswer: 40", "usage": {"completion_tokens": 218, "prompt_tokens": 108, "total_tokens": 326, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.548, "t1": 1793306573.689, "s": 25.14} +{"seq": 7, "idx": 51, "ok": true, "gold": "5", "reply": "To solve this problem, we need to determine the distance traveled and then calculate the time taken for the return trip.\n\n1. **Determine the time spent sailing away:**\n Tom sails from 1 PM to 4 PM.\n The duration of the trip is $4 - 1 = 3$ hours.\n\n2. **Calculate the distance traveled:**\n Tom's speed while sailing away is 10 miles per hour (mph).\n $\\text{Distance} = \\text{Speed} \\times \\text{Time}$\n $\\text{Distance} = 10 \\text{ mph} \\times 3 \\text{ hours} = 30 \\text{ miles}$.\n\n3. **Calculate the time taken to return:**\n Tom travels back the same distance (30 miles) at a rate of 6 mph.\n $\\text{Time} = \\frac{\\text{Distance}}{\\text{Speed}}$\n $\\text{Time} = \\frac{30 \\text{ miles}}{6 \\text{ mph}} = 5 \\text{ hours}$.\n\nIt takes him 5 hours to get back.\n\nAnswer: 5", "usage": {"completion_tokens": 251, "prompt_tokens": 79, "total_tokens": 330, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.546, "t1": 1793306574.466, "s": 25.92} +{"seq": 8, "idx": 59, "ok": true, "gold": "187", "reply": "To find the total number of raspberries, we need to calculate the number of raspberries in the clusters and then add the individual raspberries.\n\n1. **Calculate the raspberries in the clusters:**\n There are 6 clusters, and each cluster contains 20 fruit.\n $6 \\times 20 = 120$ raspberries.\n\n2. **Add the individual raspberries:**\n There are 67 individual raspberries scattered across the bush.\n $120 + 67 = 187$ raspberries.\n\nTotal number of raspberries = 187.\n\nAnswer: 187", "usage": {"completion_tokens": 133, "prompt_tokens": 60, "total_tokens": 193, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.551, "t1": 1793306581.329, "s": 32.78} +{"seq": 9, "idx": 62, "ok": true, "gold": "25000", "reply": "To find Marcy's annual pension if she quits after 30 years, we follow these steps:\n\n1. **Determine the full pension amount:**\n If Marcy works for 40 years, her annual pension is $50,000.\n\n2. **Determine the entitlement rule:**\n Starting after 20 years, she becomes entitled to 5% of the value of the pension per year. This means for every year she works beyond the 20-year mark, she earns an additional 5% of the total pension amount.\n\n3. **Calculate the years of entitlement:**\n Marcy quits after 30 years. Since the entitlement starts after 20 years, the number of years she has earned the 5% increment is:\n $30 \\text{ years} - 20 \\text{ years} = 10 \\text{ years}$.\n\n4. **Calculate the total percentage earned:**\n She earns 5% per year for 10 years:\n $10 \\text{ years} \\times 5\\%/\\text{year} = 50\\%$.\n\n5. **Calculate the annual pension amount:**\n Her pension will be 50% of the full pension amount ($50,000):\n $50\\% \\text{ of } \\$50,000 = 0.50 \\times 50,000 = \\$25,000$.\n\nAnswer: 25000", "usage": {"completion_tokens": 331, "prompt_tokens": 97, "total_tokens": 428, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.553, "t1": 1793306585.91, "s": 37.36} +{"seq": 10, "idx": 63, "ok": true, "gold": "1596", "reply": "To calculate the total amount Aleena paid for the streaming service for the year, we break the year into two halves: the first six months and the last six months.\n\n**1. Calculate the cost for the first half of the year:**\nThe monthly charge is $140.\nThere are 6 months in the first half of the year.\nCost for the first half = $140 \\times 6 = \\$840$.\n\n**2. Calculate the monthly charge for the second half of the year:**\nThe company charges 10% less than the initial amount.\n10% of $140 = 0.10 \\times 140 = \\$14$.\nNew monthly charge = $\\$140 - \\$14 = \\$126$.\n\n**3. Calculate the cost for the second half of the year:**\nThere are 6 months in the second half of the year.\nCost for the second half = $126 \\times 6$.\n$126 \\times 6 = (100 \\times 6) + (20 \\times 6) + (6 \\times 6) = 600 + 120 + 36 = \\$756$.\n\n**4. Calculate the total amount paid for the year:**\nTotal amount = Cost for the first half + Cost for the second half.\nTotal amount = $\\$840 + \\$756 = \\$1596$.\n\nAnswer: 1596", "usage": {"completion_tokens": 328, "prompt_tokens": 98, "total_tokens": 426, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.557, "t1": 1793306588.04, "s": 39.48} +{"seq": 11, "idx": 58, "ok": true, "gold": "57", "reply": "To find the final price Stephen paid, we need to calculate each additional cost based on the initial bill and then sum them up.\n\n1. **Initial Bill:** The cost of the groceries is **$40.00**.\n2. **Vendor Fee:** The vendor charges a 25% fee on the final total (the initial bill).\n $25\\% \\text{ of } \\$40.00 = 0.25 \\times 40 = \\$10.00$.\n3. **Delivery Fee:** The vendor charges a flat delivery fee of **$3.00**.\n4. **Tip:** Stephen added a tip of **$4.00**.\n\nNow, we add all these amounts together to find the final price:\n$\\text{Final Price} = \\text{Initial Bill} + \\text{Vendor Fee} + \\text{Delivery Fee} + \\text{Tip}$\n$\\text{Final Price} = \\$40.00 + \\$10.00 + \\$3.00 + \\$4.00$\n\nCalculating the sum:\n$40 + 10 = 50$\n$50 + 3 = 53$\n$53 + 4 = 57$\n\nThe final price of Stephen's groceries is $57.00.\n\nAnswer: 57.00", "usage": {"completion_tokens": 304, "prompt_tokens": 113, "total_tokens": 417, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.55, "t1": 1793306592.17, "s": 43.62} +{"seq": 12, "idx": 60, "ok": true, "gold": "17", "reply": "To find the number of good oranges, we need to subtract the number of bad, unripe, and sour oranges from the total number of oranges.\n\n1. **Total number of oranges:** 25\n2. **Number of bad oranges:** 1\n3. **Number of unripe oranges:** 20% of 25\n $20\\% \\times 25 = 0.20 \\times 25 = 5$\n4. **Number of sour oranges:** 2\n\nNow, we sum the oranges that are not \"good\" (bad, unripe, and sour):\nTotal non-good oranges = $1 (\\text{bad}) + 5 (\\text{unripe}) + 2 (\\text{sour}) = 8$\n\nFinally, subtract this sum from the total number of oranges to find the number of good oranges:\nGood oranges = Total oranges - Non-good oranges\nGood oranges = $25 - 8 = 17$\n\nAnswer: 17", "usage": {"completion_tokens": 219, "prompt_tokens": 66, "total_tokens": 285, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.551, "t1": 1793306598.877, "s": 50.33} +{"seq": 13, "idx": 65, "ok": true, "gold": "36", "reply": "To find the total number of hours Jim spends on TV and reading in 4 weeks, we can follow these steps:\n\n1. **Calculate the time spent on TV and reading in one session:**\n * Time spent watching TV = 2 hours.\n * Time spent reading = half of the TV time = $2 \\text{ hours} \\div 2 = 1 \\text{ hour}$.\n * Total time per session = $2 \\text{ hours (TV)} + 1 \\text{ hour (reading)} = 3 \\text{ hours}$.\n\n2. **Calculate the time spent per week:**\n * He does this 3 times a week.\n * Total time per week = $3 \\text{ sessions} \\times 3 \\text{ hours/session} = 9 \\text{ hours}$.\n\n3. **Calculate the total time for 4 weeks:**\n * Total time for 4 weeks = $4 \\text{ weeks} \\times 9 \\text{ hours/week} = 36 \\text{ hours}$.\n\nAnswer: 36", "usage": {"completion_tokens": 242, "prompt_tokens": 76, "total_tokens": 318, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.559, "t1": 1793306602.364, "s": 53.81} +{"seq": 14, "idx": 57, "ok": true, "gold": "83", "reply": "To find the maximum number of boxes that can be loaded onto the truck, we need to determine how much weight is available for the boxes without exceeding the bridge's limit.\n\n1. **Identify the total weight limit of the bridge:**\n The bridge can carry a maximum of 5000 pounds.\n\n2. **Identify the weight of the truck and driver:**\n The combined weight of the driver and the empty truck is 3755 pounds.\n\n3. **Calculate the remaining weight capacity available for the boxes:**\n Subtract the weight of the truck and driver from the total weight limit:\n $5000 - 3755 = 1245$ pounds.\n\n4. **Determine the weight of one box:**\n Each box weighs 15 pounds.\n\n5. **Calculate the maximum number of boxes:**\n Divide the remaining weight capacity by the weight of one box:\n $1245 \\div 15$\n\n Let's perform the division:\n $1245 / 15 = ?$\n $15 \\times 80 = 1200$\n $1245 - 1200 = 45$\n $15 \\times 3 = 45$\n So, $80 + 3 = 83$.\n\n6. **Verify the result:**\n If there are 83 boxes:\n Weight of boxes = $83 \\times 15 = 1245$ pounds.\n Total weight = $3755 + 1245 = 5000$ pounds.\n Since 5000 pounds does not exceed the limit, 83 is the maximum number.\n\nAnswer: 83", "usage": {"completion_tokens": 396, "prompt_tokens": 107, "total_tokens": 503, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.549, "t1": 1793306605.017, "s": 56.47} +{"seq": 15, "idx": 64, "ok": true, "gold": "300", "reply": "To find out how many miles Sophia can drive on a single tank of gas, we first need to determine her car's fuel efficiency in miles per gallon (mpg).\n\n1. **Calculate the fuel efficiency (mpg):**\n Sophia traveled 100 miles using 4 gallons of gas.\n $$\\text{Fuel Efficiency} = \\frac{\\text{Total Miles}}{\\text{Gallons Used}}$$\n $$\\text{Fuel Efficiency} = \\frac{100 \\text{ miles}}{4 \\text{ gallons}} = 25 \\text{ miles per gallon (mpg)}$$\n\n2. **Calculate the total distance for a full tank:**\n The owner's manual states that the tank holds 12 gallons of gas. To find the total distance she can drive on a full tank, multiply the tank capacity by the fuel efficiency.\n $$\\text{Total Distance} = \\text{Tank Capacity} \\times \\text{Fuel Efficiency}$$\n $$\\text{Total Distance} = 12 \\text{ gallons} \\times 25 \\text{ mpg}$$\n\n3. **Perform the multiplication:**\n $$12 \\times 25 = 300$$\n\nSophia can drive 300 miles on a single tank of gas.\n\nAnswer: 300", "usage": {"completion_tokens": 280, "prompt_tokens": 122, "total_tokens": 402, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.558, "t1": 1793306608.991, "s": 60.43} +{"seq": 16, "idx": 53, "ok": true, "gold": "40", "reply": "To find the difference in revenue between the two days, we need to calculate the total revenue for Thursday and Friday separately.\n\n**1. Calculate Thursday's revenue:**\nOn Thursday, the mechanic repairs 6 truck tires and 4 car tires.\n- Revenue from truck tires: $6 \\text{ tires} \\times \\$60/\\text{tire} = \\$360$\n- Revenue from car tires: $4 \\text{ tires} \\times \\$40/\\text{tire} = \\$160$\n- Total revenue for Thursday: $\\$360 + \\$160 = \\$520$\n\n**2. Calculate Friday's revenue:**\nOn Friday, the mechanic repairs 12 car tires and 0 truck tires.\n- Revenue from truck tires: $0 \\text{ tires} \\times \\$60/\\text{tire} = \\$0$\n- Revenue from car tires: $12 \\text{ tires} \\times \\$40/\\text{tire} = \\$480$\n- Total revenue for Friday: $\\$0 + \\$480 = \\$480$\n\n**3. Find the difference in revenue:**\nThe mechanic earned more on Thursday ($520) than on Friday ($480).\n- Difference: $\\$520 - \\$480 = \\$40$\n\nThe mechanic earned $40 more on the day with higher revenue.\n\nAnswer: 40", "usage": {"completion_tokens": 310, "prompt_tokens": 130, "total_tokens": 440, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306548.548, "t1": 1793306617.147, "s": 68.6} +{"seq": 17, "idx": 67, "ok": true, "gold": "595", "reply": "To find the total number of gems in the chest, we need to calculate the number of each type of gem and then sum them up.\n\n1. **Diamonds:** The problem states there are **175** diamonds.\n2. **Rubies:** There are 35 fewer rubies than diamonds.\n Rubies = 175 - 35 = **140**\n3. **Emeralds:** There are twice the number of emeralds as there are rubies.\n Emeralds = 140 * 2 = **280**\n\nNow, we add the quantities of all three types of gems together to find the total:\nTotal gems = Diamonds + Rubies + Emeralds\nTotal gems = 175 + 140 + 280\n\nCalculation:\n175 + 140 = 315\n315 + 280 = 595\n\nAnswer: 595", "usage": {"completion_tokens": 212, "prompt_tokens": 82, "total_tokens": 294, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306559.563, "t1": 1793306617.515, "s": 57.95} +{"seq": 18, "idx": 66, "ok": true, "gold": "48", "reply": "To find the total number of people sent by all the schools, we can break down the number of people sent by a single school and then multiply by the total number of schools.\n\n1. **Calculate the number of people sent by one school:**\n * **Girls' basketball team:** 5 players + 1 coach = 6 people.\n * **Boys' basketball team:** 5 players + 1 coach = 6 people.\n * **Total per school:** 6 (girls' team) + 6 (boys' team) = 12 people.\n\n2. **Calculate the total number of people for all four schools:**\n * There are 4 schools.\n * Total people = 4 schools \u00d7 12 people per school = 48 people.\n\nAlternatively, we can count the total number of players and coaches separately:\n* **Total players:** 4 schools \u00d7 2 teams per school \u00d7 5 players per team = 40 players.\n* **Total coaches:** 4 schools \u00d7 2 teams per school \u00d7 1 coach per team = 8 coaches.\n* **Total people:** 40 + 8 = 48 people.\n\nAnswer: 48", "usage": {"completion_tokens": 270, "prompt_tokens": 87, "total_tokens": 357, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306557.062, "t1": 1793306618.727, "s": 61.67} +{"seq": 19, "idx": 68, "ok": true, "gold": "36", "reply": "To find the number of teachers, we first need to determine the total number of students at the school.\n\n1. **Find the number of boys:**\n The problem states there are twice as many boys as girls.\n Number of girls = 60\n Number of boys = $60 \\times 2 = 120$\n\n2. **Find the total number of students:**\n Total students = Number of girls + Number of boys\n Total students = $60 + 120 = 180$\n\n3. **Find the number of teachers:**\n The problem states there are 5 students for every teacher. This means the ratio of students to teachers is 5:1.\n Number of teachers = Total students / Students per teacher\n Number of teachers = $180 / 5$\n\n4. **Perform the division:**\n $180 \\div 5 = 36$\n\nThere are 36 teachers.\n\nAnswer: 36", "usage": {"completion_tokens": 221, "prompt_tokens": 67, "total_tokens": 288, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306561.063, "t1": 1793306622.176, "s": 61.11} +{"seq": 20, "idx": 71, "ok": true, "gold": "60", "reply": "To find the total number of instructions Kelian has to read, we follow these steps:\n\n1. **Identify the number of instructions in the first recipe:**\n The first recipe has 20 instructions.\n\n2. **Calculate the number of instructions in the second recipe:**\n The second recipe has twice as many instructions as the first one.\n $20 \\times 2 = 40$ instructions.\n\n3. **Calculate the total number of instructions for both dishes:**\n Add the instructions from the first recipe and the second recipe together.\n $20 + 40 = 60$ instructions.\n\nAnswer: 60", "usage": {"completion_tokens": 143, "prompt_tokens": 73, "total_tokens": 216, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306574.067, "t1": 1793306627.021, "s": 52.95} +{"seq": 21, "idx": 69, "ok": true, "gold": "60", "reply": "To find out how much money Bailey started with, we can follow these steps:\n\n1. **Calculate the total amount of money received from the allowance:**\n Bailey receives $5 per week for 8 weeks.\n Total allowance = $5/week $\\times$ 8 weeks = $40.\n\n2. **Set up an equation to find the starting amount:**\n Let $x$ be the amount of money Bailey started with.\n The total amount she has at the end is the starting amount plus the total allowance received.\n $x + 40 = 100$\n\n3. **Solve for $x$:**\n Subtract 40 from both sides of the equation:\n $x = 100 - 40$\n $x = 60$\n\nBailey started with $60.\n\nAnswer: 60", "usage": {"completion_tokens": 191, "prompt_tokens": 80, "total_tokens": 271, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306566.565, "t1": 1793306628.977, "s": 62.41} +{"seq": 22, "idx": 72, "ok": true, "gold": "221", "reply": "To find the total amount of money Tommy raises, we need to calculate the revenue from the brownies and the revenue from the cheesecakes separately, and then add them together.\n\n1. **Calculate the money from brownies:**\n Tommy sells 43 slices of brownies at $3 per slice.\n $43 \\times 3 = 129$\n So, he raises $129 from brownies.\n\n2. **Calculate the money from cheesecakes:**\n Tommy sells 23 slices of cheesecake at $4 per slice.\n $23 \\times 4 = 92$\n So, he raises $92 from cheesecakes.\n\n3. **Calculate the total money raised:**\n Add the brownie revenue and the cheesecake revenue together.\n $129 + 92 = 221$\n\nTommy raises a total of $221.\n\nAnswer: 221", "usage": {"completion_tokens": 205, "prompt_tokens": 75, "total_tokens": 280, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306574.568, "t1": 1793306634.267, "s": 59.7} +{"seq": 23, "idx": 70, "ok": true, "gold": "7425", "reply": "To find out how much money Judy makes in one week, we need to calculate the total number of classes she teaches and then multiply that by the number of students and the price per student.\n\n**1. Calculate the number of classes taught in a week:**\n* **Weekdays (Monday to Friday):** There are 5 weekdays. She teaches 5 classes each day.\n $5 \\text{ days} \\times 5 \\text{ classes/day} = 25 \\text{ classes}$\n* **Saturday:** She teaches 8 classes.\n* **Total classes per week:** $25 + 8 = 33 \\text{ classes}$\n\n**2. Calculate the total number of students across all classes:**\n* Each class has 15 students.\n* Total students per week = $33 \\text{ classes} \\times 15 \\text{ students/class}$\n $33 \\times 15 = 495 \\text{ students}$\n\n**3. Calculate the total money made:**\n* She charges $15.00 per student.\n* Total money = $495 \\text{ students} \\times \\$15.00/\\text{student}$\n $495 \\times 15 = 7425$\n\n**Calculation breakdown:**\n$495 \\times 10 = 4950$\n$495 \\times 5 = 2475$\n$4950 + 2475 = 7425$\n\nAnswer: 7425", "usage": {"completion_tokens": 352, "prompt_tokens": 81, "total_tokens": 433, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306569.066, "t1": 1793306638.507, "s": 69.44} +{"seq": 24, "idx": 73, "ok": true, "gold": "255", "reply": "To find out how much Shiela will pay each month, we need to calculate the total cost of the phones including interest and then divide that total by the number of months.\n\n**1. Calculate the total cost of the phones (without interest):**\nShiela bought 5 cell phones at $150 each.\nTotal cost = $5 \\times 150 = \\$750$\n\n**2. Calculate the total interest charged:**\nA 2% interest is charged on each unit (or on the total amount, as the result is the same).\nTotal interest = $750 \\times 0.02 = \\$15$\n\n**3. Calculate the total amount to be paid (Principal + Interest):**\nTotal amount = $\\$750 + \\$15 = \\$765$\n\n**4. Calculate the monthly installment:**\nThe total amount is to be paid over 3 months.\nMonthly payment = $\\frac{\\$765}{3} = \\$255$\n\n**Alternative Method (Per unit):**\nCost per unit = $150\nInterest per unit = $150 \\times 0.02 = \\$3$\nTotal cost per unit = $150 + 3 = \\$153$\nTotal cost for 5 units = $153 \\times 5 = \\$765$\nMonthly payment = $765 / 3 = \\$255$\n\nAnswer: 255", "usage": {"completion_tokens": 319, "prompt_tokens": 74, "total_tokens": 393, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306581.57, "t1": 1793306645.686, "s": 64.12} +{"seq": 25, "idx": 74, "ok": true, "gold": "88", "reply": "To find out how much Artie will make, we first need to round each flower's price to the nearest dollar as per his decision.\n\n1. **Round the prices:**\n * Marigolds: $2.74 rounds to **$3.00** (since 0.74 is $\\ge$ 0.50).\n * Petunias: $1.87 rounds to **$2.00** (since 0.87 is $\\ge$ 0.50).\n * Begonias: $2.12 rounds to **$2.00** (since 0.12 is < 0.50).\n\n2. **Calculate the total for each type of flower based on the rounded prices:**\n * Marigolds: 12 pots $\\times$ $3.00 = $36.00\n * Petunias: 9 pots $\\times$ $2.00 = $18.00\n * Begonias: 17 pots $\\times$ $2.00 = $34.00\n\n3. **Calculate the total amount made:**\n * Total = $36.00 + $18.00 + $34.00\n * $36 + $18 = $54\n * $54 + $34 = $88\n\nArtie will make $88.\n\nAnswer: 88", "usage": {"completion_tokens": 335, "prompt_tokens": 152, "total_tokens": 487, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306586.071, "t1": 1793306648.56, "s": 62.49} +{"seq": 26, "idx": 75, "ok": true, "gold": "60", "reply": "To find the average square footage of a level in the 4-leveled sandcastle, we first need to determine the square footage of each level.\n\n1. **Identify the levels and their relationship:**\n The problem states that each level has half the square footage of the level below it. This means that as we move from the top level down to the bottom, the square footage doubles.\n\n2. **Determine the square footage of each level:**\n * **Level 1 (Top level):** Given as $16$ sq ft.\n * **Level 2:** Since the top level is half of the level below it, the level below it must be $16 \\times 2 = 32$ sq ft.\n * **Level 3:** The level below Level 2 must be $32 \\times 2 = 64$ sq ft.\n * **Level 4 (Bottom level):** The level below Level 3 must be $64 \\times 2 = 128$ sq ft.\n\n So, the square footages of the four levels are: $16, 32, 64, \\text{ and } 128$.\n\n3. **Calculate the sum of the square footages:**\n Sum $= 16 + 32 + 64 + 128$\n Sum $= 48 + 64 + 128$\n Sum $= 112 + 128$\n Sum $= 240$\n\n4. **Calculate the average square footage:**\n The average is the sum of the square footages divided by the number of levels.\n Average $= \\frac{\\text{Sum}}{\\text{Number of levels}}$\n Average $= \\frac{240}{4}$\n Average $= 60$\n\nAnswer: 60", "usage": {"completion_tokens": 414, "prompt_tokens": 95, "total_tokens": 509, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306588.072, "t1": 1793306658.094, "s": 70.02} +{"seq": 27, "idx": 76, "ok": true, "gold": "5", "reply": "To find out how many bags of dog food Cecilia will use in the first year, we need to calculate the total number of cups used during that period.\n\n1. **Identify the number of days in the first year:**\n A standard year has 365 days.\n\n2. **Calculate the food used in the first 180 days:**\n For the first 180 days, the puppy eats 1 cup per day.\n $180 \\text{ days} \\times 1 \\text{ cup/day} = 180 \\text{ cups}$.\n\n3. **Calculate the food used for the remainder of the year:**\n The number of days remaining in the year is:\n $365 \\text{ days} - 180 \\text{ days} = 185 \\text{ days}$.\n For these days, the puppy eats 2 cups per day.\n $185 \\text{ days} \\times 2 \\text{ cups/day} = 370 \\text{ cups}$.\n\n4. **Calculate the total number of cups used in the first year:**\n $\\text{Total cups} = 180 \\text{ cups} + 370 \\text{ cups} = 550 \\text{ cups}$.\n\n5. **Calculate the number of bags needed:**\n Each bag contains 110 cups.\n $\\text{Number of bags} = \\frac{550 \\text{ cups}}{110 \\text{ cups/bag}} = 5 \\text{ bags}$.\n\nAnswer: 5", "usage": {"completion_tokens": 357, "prompt_tokens": 114, "total_tokens": 471, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306592.574, "t1": 1793306659.306, "s": 66.73} +{"seq": 28, "idx": 77, "ok": true, "gold": "100", "reply": "To find the difference in the amount of laundry Raymond and David do, we first need to determine the amount of laundry each person does based on the information provided.\n\n1. **Identify Sarah's laundry amount:**\n Sarah does 400 pounds of laundry.\n\n2. **Calculate Raymond's laundry amount:**\n Raymond does half as much laundry as Sarah.\n $\\text{Raymond} = \\frac{1}{2} \\times \\text{Sarah}$\n $\\text{Raymond} = \\frac{1}{2} \\times 400 = 200 \\text{ pounds}$\n\n3. **Calculate David's laundry amount:**\n Sarah does 4 times as much laundry as David. This means David does $\\frac{1}{4}$ as much laundry as Sarah.\n $\\text{David} = \\frac{\\text{Sarah}}{4}$\n $\\text{David} = \\frac{400}{4} = 100 \\text{ pounds}$\n\n4. **Calculate the difference between Raymond and David:**\n $\\text{Difference} = \\text{Raymond} - \\text{David}$\n $\\text{Difference} = 200 - 100 = 100 \\text{ pounds}$\n\nAnswer: 100", "usage": {"completion_tokens": 285, "prompt_tokens": 74, "total_tokens": 359, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306599.076, "t1": 1793306662.461, "s": 63.39} +{"seq": 29, "idx": 78, "ok": true, "gold": "6", "reply": "To find out how much Vincent saves, we first need to determine the cost of 18 flowers using each pricing option.\n\n**Option 1: Packages of 3 for $2.50**\n1. First, calculate how many packages of 3 are needed for 18 flowers:\n $18 \\div 3 = 6$ packages.\n2. Next, calculate the total cost for 6 packages:\n $6 \\times \\$2.50 = \\$15.00$.\n\n**Option 2: Packages of 2 for $1.00**\n1. First, calculate how many packages of 2 are needed for 18 flowers:\n $18 \\div 2 = 9$ packages.\n2. Next, calculate the total cost for 9 packages:\n $9 \\times \\$1.00 = \\$9.00$.\n\n**Comparison and Savings**\n1. Compare the two costs:\n Option 1 costs $15.00.\n Option 2 costs $9.00.\n2. The better price is Option 2 ($9.00).\n3. Calculate the savings by subtracting the better price from the more expensive price:\n $\\$15.00 - \\$9.00 = \\$6.00$.\n\nAnswer: 6", "usage": {"completion_tokens": 300, "prompt_tokens": 71, "total_tokens": 371, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306602.577, "t1": 1793306666.03, "s": 63.45} +{"seq": 30, "idx": 79, "ok": true, "gold": "70", "reply": "To find the cost of the grooming, follow these steps:\n\n1. **Identify the original cost:** The original cost of the grooming is $100.\n2. **Calculate the discount amount:** The groomer offers a 30% discount.\n $100 \\times 0.30 = 30$\n The discount amount is $30.\n3. **Subtract the discount from the original cost:**\n $100 - 30 = 70$\n\nAlternatively, if the discount is 30%, John pays 70% of the original price:\n$100 \\times 0.70 = 70$\n\nThe grooming costs $70.\n\nAnswer: 70", "usage": {"completion_tokens": 165, "prompt_tokens": 77, "total_tokens": 242, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306605.078, "t1": 1793306668.184, "s": 63.11} +{"seq": 31, "idx": 82, "ok": true, "gold": "623", "reply": "To find the combined weights of Grace and Alex, we first need to determine Alex's weight.\n\n1. **Identify Grace's weight:**\n Grace weighs 125 pounds.\n\n2. **Calculate Alex's weight:**\n The problem states that Alex weighs \"2 pounds less than 4 times what Grace weighs.\"\n First, calculate 4 times Grace's weight:\n $4 \\times 125 = 500$ pounds.\n Next, subtract 2 pounds from that amount:\n $500 - 2 = 498$ pounds.\n So, Alex weighs 498 pounds.\n\n3. **Calculate their combined weight:**\n Add Grace's weight and Alex's weight together:\n $125 + 498 = 623$ pounds.\n\nAnswer: 623", "usage": {"completion_tokens": 195, "prompt_tokens": 59, "total_tokens": 254, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306617.582, "t1": 1793306673.775, "s": 56.19} +{"seq": 32, "idx": 80, "ok": true, "gold": "10", "reply": "To find out how many liters of water were left, we follow these steps:\n\n1. **Calculate how much water each girl got:**\n Each girl got $\\frac{1}{6}$ of the 24 liters.\n $\\text{Water per girl} = \\frac{1}{6} \\times 24 = 4 \\text{ liters}$.\n\n2. **Calculate the total amount of water given to both girls:**\n Since there are two girls:\n $\\text{Total for girls} = 4 \\text{ liters} \\times 2 = 8 \\text{ liters}$.\n\n3. **Calculate the total amount of water given to the boy:**\n The boy got 6 liters.\n\n4. **Calculate the total amount of water distributed:**\n $\\text{Total distributed} = \\text{Total for girls} + \\text{Total for boy}$\n $\\text{Total distributed} = 8 \\text{ liters} + 6 \\text{ liters} = 14 \\text{ liters}$.\n\n5. **Calculate the amount of water left:**\n Subtract the total distributed amount from the original amount.\n $\\text{Water left} = 24 \\text{ liters} - 14 \\text{ liters} = 10 \\text{ liters}$.\n\nAnswer: 10", "usage": {"completion_tokens": 292, "prompt_tokens": 64, "total_tokens": 356, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306609.079, "t1": 1793306676.252, "s": 67.17} +{"seq": 33, "idx": 81, "ok": true, "gold": "17", "reply": "To find out how many stickers Charlie has left, we need to follow the sequence of events:\n\n1. **Initial amount:** Charlie starts with **10** stickers.\n2. **Buying stickers:** He buys **21** stickers.\n $10 + 21 = 31$ stickers.\n3. **Birthday stickers:** He gets **23** stickers for his birthday.\n $31 + 23 = 54$ stickers.\n4. **Giving stickers away:** He gives **9** stickers to his sister.\n $54 - 9 = 45$ stickers.\n5. **Using stickers for a card:** He uses **28** stickers to decorate a card.\n $45 - 28 = 17$ stickers.\n\nCharlie has 17 stickers left.\n\nAnswer: 17", "usage": {"completion_tokens": 192, "prompt_tokens": 88, "total_tokens": 280, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306617.581, "t1": 1793306677.544, "s": 59.96} +{"seq": 34, "idx": 83, "ok": true, "gold": "600", "reply": "To find the total number of thorns, we need to multiply the number of rose bushes by the number of roses per bush, and then multiply that result by the number of thorns per rose.\n\n1. **Find the total number of roses:**\n There are 3 rose bushes, and each bush has 25 roses.\n $3 \\times 25 = 75$ roses.\n\n2. **Find the total number of thorns:**\n There are 75 roses, and each rose has 8 thorns.\n $75 \\times 8 = 600$ thorns.\n\nCalculation check:\n$75 \\times 2 = 150$\n$150 \\times 2 = 300$\n$300 \\times 2 = 600$\n\nAnswer: 600", "usage": {"completion_tokens": 186, "prompt_tokens": 59, "total_tokens": 245, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306619.082, "t1": 1793306679.446, "s": 60.36} +{"seq": 35, "idx": 86, "ok": true, "gold": "22", "reply": "To find the total number of times the alarm rang, we calculate the duration of each of the three alarm sessions:\n\n1. **First time:** The problem states it rang **4** times.\n2. **Second time:** It rang for three times as long as the first time.\n $4 \\times 3 = 12$ times.\n3. **Third time:** It rang for half as long as the second time.\n $12 \\div 2 = 6$ times.\n\nTo find the total number of times the alarm rang in all, we add the three sessions together:\n$4 + 12 + 6 = 22$\n\nAnswer: 22", "usage": {"completion_tokens": 153, "prompt_tokens": 117, "total_tokens": 270, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306629.086, "t1": 1793306686.589, "s": 57.5} +{"seq": 36, "idx": 84, "ok": true, "gold": "15", "reply": "To solve this problem, we can use a system of simple algebraic equations.\n\nLet $W$ be the number of games won.\nLet $L$ be the number of games lost.\n\nWe are given two pieces of information:\n1. The total number of games played is 22. Assuming every game resulted in either a win or a loss (as no draws are mentioned and the math implies a binary outcome for the total):\n $W + L = 22$\n\n2. They won 8 more games than they lost:\n $W = L + 8$\n\nNow, we can substitute the second equation into the first:\n$(L + 8) + L = 22$\n\nCombine the like terms:\n$2L + 8 = 22$\n\nSubtract 8 from both sides:\n$2L = 14$\n\nDivide by 2:\n$L = 7$\n\nNow that we know the number of losses ($L = 7$), we can find the number of wins ($W$) using the second equation:\n$W = 7 + 8$\n$W = 15$\n\n**Check:**\nTotal games: $15 + 7 = 22$ (Correct)\nDifference: $15 - 7 = 8$ (Correct)\n\nAnswer: 15", "usage": {"completion_tokens": 292, "prompt_tokens": 53, "total_tokens": 345, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306622.584, "t1": 1793306691.2, "s": 68.62} +{"seq": 37, "idx": 88, "ok": true, "gold": "8000", "reply": "To find out how many copies Harald sold, we can set up an algebraic equation.\n\n1. **Define the variables:**\n Let $x$ be the number of copies Harald sold.\n Since Marilyn sold 10 times as many copies as Harald, Marilyn's sales can be represented as $10x$.\n\n2. **Set up the equation:**\n The problem states that their combined sales equal 88,000.\n $x + 10x = 88,000$\n\n3. **Solve for $x$:**\n Combine the like terms:\n $11x = 88,000$\n\n Divide both sides by 11:\n $x = \\frac{88,000}{11}$\n $x = 8,000$\n\n4. **Verify the result:**\n If Harald sold 8,000 copies, then Marilyn sold $10 \\times 8,000 = 80,000$ copies.\n Combined, they sold $8,000 + 80,000 = 88,000$ copies. This matches the information given in the problem.\n\nAnswer: 8000", "usage": {"completion_tokens": 283, "prompt_tokens": 69, "total_tokens": 352, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306638.589, "t1": 1793306702.533, "s": 63.94} +{"seq": 38, "idx": 87, "ok": true, "gold": "9360", "reply": "To find Sylvie's annual salary after three more years of service, we follow these steps:\n\n1. **Determine the initial monthly salary:**\n Sylvie's current monthly salary is $600.\n\n2. **Calculate the annual increase amount:**\n The policy states that employees who have stayed for five years receive an increase of 10% of their **initial salary** every year.\n Initial monthly salary = $600.\n Annual increase per month = 10% of $600 = $0.10 \\times 600 = $60.\n\n3. **Determine the timeline for increases:**\n Sylvie just clocked 5 years last December. We need to find her annual salary after **three more years** of service.\n - After 1 more year (Year 6): Her monthly salary increases by $60.\n - After 2 more years (Year 7): Her monthly salary increases by another $60.\n - After 3 more years (Year 8): Her monthly salary increases by another $60.\n\n4. **Calculate the monthly salary after 3 more years:**\n Current monthly salary = $600.\n Total increase after 3 years = $60 \\times 3 = $180.\n New monthly salary = $600 + $180 = $780.\n\n5. **Calculate the annual salary:**\n Annual salary = Monthly salary $\\times$ 12 months.\n Annual salary = $780 \\times 12$.\n\n Calculation:\n $780 \\times 10 = 7800$\n $780 \\times 2 = 1560$\n $7800 + 1560 = 9360$\n\nAnswer: 9360", "usage": {"completion_tokens": 414, "prompt_tokens": 108, "total_tokens": 522, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306634.588, "t1": 1793306703.238, "s": 68.65} +{"seq": 39, "idx": 89, "ok": true, "gold": "24", "reply": "To find out how much Christina will spend, we need to calculate the number of gift bags she needs to prepare and then multiply that by the cost per bag.\n\n1. **Identify the number of invited guests:**\n Christina invited 16 friends.\n\n2. **Calculate the number of gift bags needed:**\n The problem states she needs 0.75 gift bags per invited guest (this accounts for the fact that 1/4 of attendees typically do not show up).\n Number of bags = $16 \\text{ guests} \\times 0.75 \\text{ bags/guest}$\n $16 \\times 0.75 = 16 \\times \\frac{3}{4} = 12$ bags.\n\n3. **Calculate the total cost:**\n Each gift bag costs $2.\n Total cost = $12 \\text{ bags} \\times \\$2/\\text{bag}$\n Total cost = $24.\n\nChristina will spend $24.\n\nAnswer: 24", "usage": {"completion_tokens": 227, "prompt_tokens": 79, "total_tokens": 306, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306646.091, "t1": 1793306704.495, "s": 58.4} +{"seq": 40, "idx": 91, "ok": true, "gold": "28", "reply": "To find the total number of pets, we need to determine how many pets each person has based on the information provided.\n\n1. **Cindy's pets:** The problem states that Cindy has 4 pets.\n * Cindy = 4\n\n2. **Marcia's pets:** The problem states that Marcia has two more pets than Cindy.\n * Marcia = Cindy + 2\n * Marcia = 4 + 2 = 6\n\n3. **Jan's pets:** The problem states that Jan has three times the number of pets as Marcia.\n * Jan = 3 \u00d7 Marcia\n * Jan = 3 \u00d7 6 = 18\n\n4. **Total pets:** To find the total, add the number of pets each person has together.\n * Total = Jan + Marcia + Cindy\n * Total = 18 + 6 + 4\n * Total = 28\n\nAnswer: 28", "usage": {"completion_tokens": 216, "prompt_tokens": 63, "total_tokens": 279, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306658.096, "t1": 1793306715.997, "s": 57.9} +{"seq": 41, "idx": 90, "ok": true, "gold": "225", "reply": "To find the total amount of potato salad Ted needs, we calculate the amount required for the adults and the children separately and then sum them.\n\n1. **Calculate the amount for adults:**\n * Each adult eats 10 lbs of potato salad.\n * There are 20 adults.\n * Total for adults = $20 \\text{ adults} \\times 10 \\text{ lbs/adult} = 200 \\text{ lbs}$.\n\n2. **Calculate the amount for children:**\n * A child eats half as much as an adult.\n * Amount per child = $10 \\text{ lbs} / 2 = 5 \\text{ lbs}$.\n * There are 5 children.\n * Total for children = $5 \\text{ children} \\times 5 \\text{ lbs/child} = 25 \\text{ lbs}$.\n\n3. **Calculate the total amount:**\n * Total amount = Total for adults + Total for children\n * Total amount = $200 \\text{ lbs} + 25 \\text{ lbs} = 225 \\text{ lbs}$.\n\nTed needs to bring 225 pounds of potato salad.\n\nAnswer: 225", "usage": {"completion_tokens": 281, "prompt_tokens": 115, "total_tokens": 396, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306648.592, "t1": 1793306719.837, "s": 71.25} +{"seq": 42, "idx": 92, "ok": true, "gold": "4", "reply": "To find Jackson's age, we can use the information provided about the ages of the four kids.\n\n1. **Identify James's age:**\n The problem states that James is 10 years old.\n\n2. **Find Corey's age using James's age:**\n The problem states that James is 1 year younger than Corey.\n If James (10) = Corey - 1, then:\n Corey = 10 + 1 = 11.\n\n3. **Find Amy's age using Corey's age:**\n The problem states that Amy is 2 years younger than Corey.\n Amy = Corey - 2\n Amy = 11 - 2 = 9.\n\n4. **Find Jackson's age using Amy's age:**\n The problem states that Amy is 5 years older than Jackson.\n Amy = Jackson + 5\n 9 = Jackson + 5\n Jackson = 9 - 5\n Jackson = 4.\n\n**Verification:**\n- James is 10.\n- Corey is 11 (James is 1 year younger than Corey: 10 is 11-1).\n- Amy is 9 (Amy is 2 years younger than Corey: 9 is 11-2).\n- Jackson is 4 (Amy is 5 years older than Jackson: 9 is 4+5).\n\nAll conditions are met.\n\nAnswer: 4", "usage": {"completion_tokens": 325, "prompt_tokens": 80, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306659.597, "t1": 1793306724.037, "s": 64.44} +{"seq": 43, "idx": 85, "ok": false, "gold": "44", "reply": "To find the total number of quilt blocks, we need to determine the total number of years Gene has been vacationing and multiply that by the number of vacations he takes per year.\n\n1. **Calculate the number of years Gene has been vacationing:**\n He started vacationing when he was 23 and he is now 34.\n Number of years = $34 - 23 = 11$ years.\n *Wait, let's re-verify the count:*\n If he started at age 23 and is now 34, the years are: 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34.\n Counting these:\n 1. 23\n 2. 24\n 3. 25\n 4. 26\n 5. 27\n 6. 28\n 7. 29\n 8. 30\n 9. 31\n 10. 32\n 11. 33\n 12. 34\n Total years = $34 - 23 + 1 = 12$ years.\n\n *Alternative interpretation:* If \"since he was 23\" implies he has completed 11 full years of vacationing (from his 23rd birthday to his 34th birthday), the number of years is 11. However, in word problems of this type, \"since he was X and is now Y\" usually implies the inclusive range or the difference. Let's look at the phrasing: \"He has been vacationing since he was 23... He is now 34.\"\n If he went on vacations at age 23, 24, ..., 34, that is 12 years of vacations.\n If he has completed 11 years of vacations (the duration), that is 11 years.\n\n Let's re-read: \"He goes on four vacations a year\".\n If we use 11 years: $11 \\times 4 = 44$.\n If we use 12 years: $12 \\times 4 = 48$.\n\n Standard mathematical convention for \"since age X to age Y\" is $Y - X$.\n $34 - 23 = 11$.\n\n2. **Calculate the total number of blocks:**\n Each year has 4 vacations, and each vacation provides 1 shirt (1 block).\n Total blocks = (Number of years) $\\times$ (Vacations per year)\n Total blocks = $11 \\times 4 = 44$.\n\n Let's double check the \"inclusive\" logic. If someone says \"I have been working here since 2010 and it is now 2012\", they have worked in 2010, 2011, and 2012 (3 years) or they have worked for 2 years. In most contexts, \"since 23 to 34\" implies the elapsed time is 11 years.\n\n Let's check the math again.\n Years: 23 to 34.\n If he went on 4 vacations at age 23, 4 at 24, ..., 4 at 34.\n The ages are 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34.\n That is 12 ages.\n $12 \\times 4 = 48$.\n\n However, usually, \"He is now 34\" implies he has completed 11 years of life since he was 23.\n Let's assume the standard subtraction: $34 - 23 = 11$.\n $11 \\times 4 = 44$.\n\n Let's re-evaluate: \"He has been vacationing since he was 23... He is now 34.\"\n If he had his first vacation at age 23 and his last at age 34, he has had 12 sets of vacations.\n If he has been vacationing for 11 years, he has had 11 sets.\n In most textbook problems, the difference $34 - 23 = 11$ is the intended duration.\n\n $11 \\times ", "usage": {"completion_tokens": 1024, "prompt_tokens": 113, "total_tokens": 1137, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306627.085, "t1": 1793306737.113, "s": 110.03} +{"seq": 44, "idx": 94, "ok": true, "gold": "348", "reply": "To find the total number of pets in the neighborhood, we need to determine the number of dogs, cats, and rabbits.\n\n1. **Find the number of dogs:**\n The problem states there are 60 dogs.\n Dogs = 60\n\n2. **Find the number of cats:**\n The problem states there are two cats for every dog.\n Cats = 2 \u00d7 Dogs\n Cats = 2 \u00d7 60 = 120\n\n3. **Find the combined number of dogs and cats:**\n Combined = Dogs + Cats\n Combined = 60 + 120 = 180\n\n4. **Find the number of rabbits:**\n The problem states the number of rabbits is twelve less than the combined number of dogs and cats.\n Rabbits = Combined - 12\n Rabbits = 180 - 12 = 168\n\n5. **Find the total number of pets:**\n Total = Dogs + Cats + Rabbits\n Total = 60 + 120 + 168\n Total = 180 + 168 = 348\n\nAlternatively, since we know the combined number of dogs and cats is 180 and the number of rabbits is 168:\nTotal = (Dogs + Cats) + Rabbits\nTotal = 180 + 168 = 348\n\nAnswer: 348", "usage": {"completion_tokens": 324, "prompt_tokens": 80, "total_tokens": 404, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306666.099, "t1": 1793306739.348, "s": 73.25} +{"seq": 45, "idx": 95, "ok": true, "gold": "40", "reply": "To find the number of girls who are not in the Girl Scout, we follow these steps:\n\n1. **Find the number of boys:**\n The total number of students is 200.\n The fraction of boys is $\\frac{2}{5}$.\n Number of boys = $200 \\times \\frac{2}{5} = 40 \\times 2 = 80$.\n\n2. **Find the number of girls:**\n Since there are 200 students in total and 80 are boys:\n Number of girls = $200 - 80 = 120$.\n\n3. **Find the number of girls in the Girl Scout:**\n $\\frac{2}{3}$ of the girls are in the Girl Scout.\n Number of girls in Girl Scout = $120 \\times \\frac{2}{3} = 40 \\times 2 = 80$.\n\n4. **Find the number of girls not in the Girl Scout:**\n Subtract the number of girls in the Girl Scout from the total number of girls:\n Number of girls not in Girl Scout = $120 - 80 = 40$.\n\n *Alternatively:*\n If $\\frac{2}{3}$ of the girls are in the Girl Scout, then $1 - \\frac{2}{3} = \\frac{1}{3}$ of the girls are not in the Girl Scout.\n Number of girls not in Girl Scout = $120 \\times \\frac{1}{3} = 40$.\n\nAnswer: 40", "usage": {"completion_tokens": 352, "prompt_tokens": 71, "total_tokens": 423, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306668.6, "t1": 1793306745.045, "s": 76.45} +{"seq": 46, "idx": 96, "ok": true, "gold": "3", "reply": "To find out how many more hours Harry slept than James, we follow these steps:\n\n1. **Determine how many hours Harry slept:**\n Harry slept 9 hours.\n\n2. **Calculate how many hours James slept:**\n James slept $\\frac{2}{3}$ of what Harry slept.\n $\\text{James's sleep} = \\frac{2}{3} \\times 9$\n $\\text{James's sleep} = 2 \\times 3 = 6$ hours.\n\n3. **Calculate the difference between Harry's sleep and James's sleep:**\n $\\text{Difference} = \\text{Harry's sleep} - \\text{James's sleep}$\n $\\text{Difference} = 9 - 6 = 3$ hours.\n\nHarry slept 3 more hours than James.\n\nAnswer: 3", "usage": {"completion_tokens": 190, "prompt_tokens": 61, "total_tokens": 251, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306674.102, "t1": 1793306748.813, "s": 74.71} +{"seq": 47, "idx": 97, "ok": true, "gold": "12", "reply": "To find out how many tomatoes Freda used, we can follow these steps:\n\n1. **Determine the volume of canned tomatoes used:**\n Freda's sauce is made from canned tomatoes. We are told that when she cooks them, they lose half their volume.\n Let $V_{tomatoes}$ be the volume of the canned tomatoes used.\n The volume of the sauce produced is $\\frac{1}{2} \\times V_{tomatoes}$.\n We know the sauce produced is 32 ounces.\n $\\frac{1}{2} \\times V_{tomatoes} = 32$ ounces\n $V_{tomatoes} = 32 \\times 2 = 64$ ounces.\n\n2. **Determine how many cans of tomatoes were used:**\n Each can contains 16 ounces of tomatoes.\n Number of cans = $\\frac{\\text{Total volume of tomatoes}}{\\text{Volume per can}}$\n Number of cans = $\\frac{64 \\text{ ounces}}{16 \\text{ ounces/can}} = 4$ cans.\n\n3. **Determine the total number of tomatoes used:**\n Each 16-ounce can contains 3 tomatoes.\n Total tomatoes = $\\text{Number of cans} \\times \\text{Tomatoes per can}$\n Total tomatoes = $4 \\text{ cans} \\times 3 \\text{ tomatoes/can} = 12$ tomatoes.\n\nAnswer: 12", "usage": {"completion_tokens": 321, "prompt_tokens": 84, "total_tokens": 405, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306676.603, "t1": 1793306758.618, "s": 82.01} +{"seq": 48, "idx": 98, "ok": true, "gold": "5", "reply": "To find out how many cars drove through the traffic jam in the first 15 minutes, we can follow these steps:\n\n1. **Identify the total number of cars involved:** There were originally 30 cars on the motorway.\n2. **Account for the cars that left the line:** 5 cars took an exit and did not drive through the traffic jam.\n3. **Calculate the total number of cars that drove through the jam:**\n Total cars - Cars that exited = Cars that drove through the jam\n $30 - 5 = 25$ cars.\n4. **Identify the number of cars that drove through in the second 15 minutes:** The problem states that 20 more cars drove through in the remaining 15 minutes.\n5. **Calculate the number of cars that drove through in the first 15 minutes:**\n Total cars that drove through - Cars from the second 15 minutes = Cars from the first 15 minutes\n $25 - 20 = 5$ cars.\n\nAnswer: 5", "usage": {"completion_tokens": 232, "prompt_tokens": 124, "total_tokens": 356, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306677.604, "t1": 1793306759.474, "s": 81.87} +{"seq": 49, "idx": 99, "ok": true, "gold": "58", "reply": "To find out how many potted plants Mary will have left, we can follow these steps:\n\n1. **Calculate the number of plants Mary already had:**\n She has 40 window ledges, and each ledge has 2 plants.\n $40 \\times 2 = 80$ plants.\n\n2. **Calculate the total number of plants Mary has now (including the new ones):**\n She received 18 new plants yesterday.\n $80 + 18 = 98$ plants.\n\n3. **Calculate how many plants she will give away:**\n She will give 1 plant from each of the 40 ledges.\n $40 \\times 1 = 40$ plants.\n\n4. **Calculate the final number of plants remaining:**\n Subtract the plants given away from the total number of plants.\n $98 - 40 = 58$ plants.\n\nAlternatively, you can think of it this way:\nShe has 80 original plants and 18 new plants (Total 98).\nShe gives away 40 plants.\n$98 - 40 = 58$.\n\nAnswer: 58", "usage": {"completion_tokens": 266, "prompt_tokens": 106, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306679.604, "t1": 1793306765.131, "s": 85.53} +{"seq": 50, "idx": 101, "ok": true, "gold": "6", "reply": "To find out how many pages Solo needs to read on average per day, we first need to calculate the total number of pages he has to read and then determine how many pages are left after Monday.\n\n**Step 1: Calculate the total number of pages to be read.**\n- Science: 4 pages\n- Social Studies: 20 pages\n- History: 7 pages\n- Geography: 8 pages\n\nTotal pages = $4 + 20 + 7 + 8 = 39$ pages.\n\n**Step 2: Calculate the remaining pages after Monday.**\nSolo read 15 pages on Monday.\nRemaining pages = Total pages - Pages read on Monday\nRemaining pages = $39 - 15 = 24$ pages.\n\n**Step 3: Calculate the average number of pages per day for the remaining days.**\nSolo has 4 more days to complete the remaining 24 pages.\nAverage per day = Remaining pages / Remaining days\nAverage per day = $24 / 4 = 6$ pages.\n\nSolo needs to read 6 pages per day on average.\n\nAnswer: 6", "usage": {"completion_tokens": 242, "prompt_tokens": 106, "total_tokens": 348, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306691.608, "t1": 1793306774.254, "s": 82.65} +{"seq": 51, "idx": 93, "ok": false, "gold": "36", "reply": "To find out how fast Gerald can run the 400-meter hurdles with his improved diet, we follow these steps:\n\n1. **Determine Lee's time:**\n Lee's time is given as $T_L = 38$ seconds.\n\n2. **Determine Gerald's original time:**\n We are told that Lee used to run the hurdles two seconds faster than Gerald. This means Gerald's original time ($T_{G\\_old}$) was 2 seconds slower than Lee's time.\n $T_{G\\_old} = T_L + 2$\n $T_{G\\_old} = 38 + 2 = 40$ seconds.\n\n3. **Calculate Gerald's improved speed:**\n Gerald improved his speed by 10%. In the context of running, \"improving speed by 10%\" means his velocity ($v$) increases.\n Let $v_{old}$ be Gerald's original speed and $v_{new}$ be his new speed.\n $v_{new} = v_{old} \\times (1 + 0.10) = 1.1 \\times v_{old}$.\n\n4. **Relate speed to time:**\n Speed is distance divided by time ($v = d/t$). Since the distance ($d = 400$m) remains constant:\n $v_{new} = \\frac{d}{T_{G\\_new}}$ and $v_{old} = \\frac{d}{T_{G\\_old}}$\n Substituting these into the speed improvement equation:\n $\\frac{d}{T_{G\\_new}} = 1.1 \\times \\frac{d}{T_{G\\_old}}$\n $\\frac{1}{T_{G\\_new}} = \\frac{1.1}{T_{G\\_old}}$\n $T_{G\\_new} = \\frac{T_{G\\_old}}{1.1}$\n\n5. **Calculate Gerald's new time:**\n $T_{G\\_new} = \\frac{40}{1.1}$\n $T_{G\\_new} = \\frac{40}{\\frac{11}{10}} = \\frac{400}{11}$\n $T_{G\\_new} \\approx 36.3636...$\n\nHowever, in many word problems of this type, \"improving speed by 10%\" is sometimes colloquially (though mathematically incorrectly) interpreted as reducing the time by 10%. Let's check that interpretation:\nIf time is reduced by 10%: $40 \\times (1 - 0.10) = 40 \\times 0.9 = 36$.\n\nLet's re-read: \"improved his speed by 10%\". In physics and mathematics, speed is $d/t$. If speed increases by 10%, the time taken is $T_{new} = T_{old} / 1.1$.\n$40 / 1.1 = 36.36...$\n\nIf the question implies the time is reduced by 10% (which is a common error in such problems), the answer would be 36. Let's look at the phrasing again. \"Improved his speed by 10%\". Usually, in competitive math, this refers to the rate.\n$v_{new} = 1.1 v_{old} \\implies \\frac{d}{t_{new}} = 1.1 \\frac{d}{t_{old}} \\implies t_{new} = \\frac{t_{old}}{1.1}$.\n\nLet's re-evaluate if there's any other interpretation. If \"speed\" refers to the time taken (which is incorrect), the answer is 36. If \"speed\" refers to the rate, it's 36.36. Given the context of such problems, 36 is a much more \"standard\" answer for a math competition. Let's check if \"speed\" could mean \"time\" in a non-standard way. No, but let's check if the 10% applies to the time reduction. If he runs 10% faster, he covers 1.1 times the distance in the same time, or the same distance in $1/1.1$ of the time.\n\nWait, let's check the math again. $40 / 1.1 = 36.36$. If the question meant \"his time improved by 10%\", it would be 36. If the question meant \"his speed increased by 10%\", it is 36.36.\nIn", "usage": {"completion_tokens": 1024, "prompt_tokens": 117, "total_tokens": 1141, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306662.598, "t1": 1793306778.61, "s": 116.01} +{"seq": 52, "idx": 100, "ok": true, "gold": "175", "reply": "To find the total number of doorbell rings, we need to calculate the number of times each friend pressed the doorbell and then sum them up.\n\n1. **First friend:** The problem states the first friend pressed the doorbell **20 times**.\n\n2. **Second friend:** The second friend pressed the doorbell $1/4$ times more than the first friend.\n * $1/4$ of the first friend's presses = $\\frac{1}{4} \\times 20 = 5$.\n * Total for the second friend = $20 + 5 = \\mathbf{25}$ **times**.\n\n3. **Fourth friend:** The problem states the fourth friend pressed the doorbell **60 times**.\n\n4. **Third friend:** The third friend pressed the doorbell 10 times more than the fourth friend.\n * Total for the third friend = $60 + 10 = \\mathbf{70}$ **times**.\n\n5. **Total doorbell rings:** Now, we add the presses from all four friends together:\n * First friend: 20\n * Second friend: 25\n * Third friend: 70\n * Fourth friend: 60\n\n Total = $20 + 25 + 70 + 60$\n Total = $45 + 70 + 60$\n Total = $115 + 60$\n Total = $175$\n\nAnswer: 175", "usage": {"completion_tokens": 335, "prompt_tokens": 119, "total_tokens": 454, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306686.606, "t1": 1793306780.064, "s": 93.46} +{"seq": 53, "idx": 102, "ok": true, "gold": "26", "reply": "To find the total number of glasses of water John drinks in a week, we need to calculate his consumption for weekdays and weekends separately.\n\n**1. Weekdays (Monday through Friday):**\nJohn drinks water at:\n- Breakfast (1 glass)\n- Lunch (1 glass)\n- Dinner (1 glass)\n- Before bed (1 glass)\n\nTotal per weekday = $1 + 1 + 1 + 1 = 4$ glasses.\nThere are 5 weekdays in a week.\nTotal for weekdays = $5 \\text{ days} \\times 4 \\text{ glasses/day} = 20$ glasses.\n\n**2. Weekends (Saturday and Sunday):**\nJohn drinks water at:\n- Breakfast (1 glass)\n- Lunch (1 glass)\n- Dinner (He has a soda instead, so 0 glasses of water)\n- Before bed (1 glass)\n\nTotal per weekend day = $1 + 1 + 0 + 1 = 3$ glasses.\nThere are 2 weekend days in a week.\nTotal for weekends = $2 \\text{ days} \\times 3 \\text{ glasses/day} = 6$ glasses.\n\n**3. Total for the week:**\nTotal glasses = $20 \\text{ (weekdays)} + 6 \\text{ (weekends)} = 26$ glasses.\n\nAnswer: 26", "usage": {"completion_tokens": 303, "prompt_tokens": 94, "total_tokens": 397, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306702.61, "t1": 1793306783.896, "s": 81.29} +{"seq": 54, "idx": 105, "ok": true, "gold": "20", "reply": "To find the total number of cookies eaten by Cody and Amir, we follow these steps:\n\n1. **Identify how many cookies Amir eats:**\n Amir eats 5 cookies.\n\n2. **Calculate how many cookies Cody eats:**\n Cody eats three times as many cookies as Amir.\n $3 \\times 5 = 15$ cookies.\n\n3. **Calculate the total number of cookies eaten by both:**\n Total = (Cookies eaten by Amir) + (Cookies eaten by Cody)\n Total = $5 + 15 = 20$ cookies.\n\nAnswer: 20", "usage": {"completion_tokens": 135, "prompt_tokens": 60, "total_tokens": 195, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306716.115, "t1": 1793306788.0, "s": 71.89} +{"seq": 55, "idx": 103, "ok": true, "gold": "140", "reply": "To find out how many minutes it will take for the fog bank to cover the whole city, we can follow these steps:\n\n1. **Identify the rate of coverage:** The fog bank covers 3 miles every 10 minutes.\n2. **Determine the total distance to be covered:** The city is 42 miles across.\n3. **Calculate how many 3-mile segments are in the city:**\n Divide the total distance by the distance covered in one interval:\n $42 \\text{ miles} \\div 3 \\text{ miles} = 14 \\text{ segments}$\n4. **Calculate the total time:**\n Since each 3-mile segment takes 10 minutes, multiply the number of segments by the time per segment:\n $14 \\text{ segments} \\times 10 \\text{ minutes/segment} = 140 \\text{ minutes}$\n\nAlternatively, you can find the rate per mile:\nRate = $10 \\text{ minutes} / 3 \\text{ miles} = \\frac{10}{3} \\text{ minutes per mile}$.\nTotal time = $42 \\text{ miles} \\times \\frac{10}{3} \\text{ minutes/mile} = 14 \\times 10 = 140 \\text{ minutes}$.\n\nAnswer: 140", "usage": {"completion_tokens": 301, "prompt_tokens": 93, "total_tokens": 394, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306703.611, "t1": 1793306792.9, "s": 89.29} +{"seq": 56, "idx": 104, "ok": true, "gold": "500", "reply": "To find out how many jigsaw pieces are left to be placed, we follow these steps:\n\n1. **Identify the total number of pieces:**\n Total pieces = 1000\n\n2. **Calculate how many pieces Poppy places:**\n Poppy places a quarter of the pieces.\n $\\text{Pieces placed by Poppy} = \\frac{1}{4} \\times 1000 = 250$\n\n3. **Calculate the remaining pieces after Poppy's turn:**\n $\\text{Remaining pieces} = 1000 - 250 = 750$\n\n4. **Calculate how many pieces her mom places:**\n Her mom places a third of the *remaining* pieces.\n $\\text{Pieces placed by Mom} = \\frac{1}{3} \\times 750 = 250$\n\n5. **Calculate the final number of pieces left to be placed:**\n Subtract the pieces Mom placed from the previous remainder.\n $\\text{Final pieces left} = 750 - 250 = 500$\n\nAlternatively, we can calculate the fraction remaining:\n- After Poppy places $\\frac{1}{4}$, $\\frac{3}{4}$ remain.\n- After Mom places $\\frac{1}{3}$ of the remainder, $\\frac{2}{3}$ of that remainder is left.\n- $\\text{Final fraction left} = \\frac{2}{3} \\times \\frac{3}{4} = \\frac{2}{4} = \\frac{1}{2}$\n- $\\text{Final pieces left} = \\frac{1}{2} \\times 1000 = 500$\n\nAnswer: 500", "usage": {"completion_tokens": 384, "prompt_tokens": 76, "total_tokens": 460, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306704.612, "t1": 1793306801.466, "s": 96.85} +{"seq": 57, "idx": 106, "ok": true, "gold": "72", "reply": "To find the total inner volume of all 3 boxes, we first need to determine the inner dimensions of a single box.\n\n1. **Identify the outer dimensions of one box:**\n Length ($L$) = 5 inches\n Width ($W$) = 6 inches\n Height ($H$) = 4 inches\n\n2. **Determine the thickness of the walls:**\n The walls are 1 inch thick. This thickness applies to every side of the box.\n\n3. **Calculate the inner dimensions of one box:**\n To find the inner dimension, we must subtract the thickness of the walls from both sides of each dimension (left/right, front/back, and top/bottom).\n Inner Length ($l$) = $5 - (1 + 1) = 5 - 2 = 3$ inches\n Inner Width ($w$) = $6 - (1 + 1) = 6 - 2 = 4$ inches\n Inner Height ($h$) = $4 - (1 + 1) = 4 - 2 = 2$ inches\n\n4. **Calculate the inner volume of one box:**\n $\\text{Volume} = l \\times w \\times h$\n $\\text{Volume} = 3 \\times 4 \\times 2 = 24$ cubic inches\n\n5. **Calculate the total inner volume for all 3 boxes:**\n $\\text{Total Volume} = 3 \\times 24 = 72$ cubic inches\n\nAnswer: 72", "usage": {"completion_tokens": 333, "prompt_tokens": 73, "total_tokens": 406, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306720.116, "t1": 1793306803.703, "s": 83.59} +{"seq": 58, "idx": 107, "ok": true, "gold": "3", "reply": "To find out how many 30-minute episodes Frankie watched on Wednesday, we need to calculate the total time he watched TV on the other days and subtract that from the total of 7 hours.\n\n1. **Monday:** 1 hour\n2. **Tuesday:** 1 hour\n3. **Thursday:** 1 hour + 30 minutes = 1.5 hours\n4. **Friday:** 2 $\\times$ 1 hour = 2 hours\n\nNow, add the hours from these days:\n$1 + 1 + 1.5 + 2 = 5.5$ hours.\n\nThe total time Frankie watched TV in the week was 7 hours. We subtract the time from the other days from the total:\n$7 - 5.5 = 1.5$ hours.\n\nThis means Frankie watched 1.5 hours of TV on Wednesday. Since the show on Wednesday consists of 30-minute episodes, we divide the total time for Wednesday by the length of one episode:\n$1.5 \\text{ hours} = 90 \\text{ minutes}$.\n$90 \\text{ minutes} \\div 30 \\text{ minutes per episode} = 3$ episodes.\n\nAnswer: 3", "usage": {"completion_tokens": 271, "prompt_tokens": 150, "total_tokens": 421, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306724.117, "t1": 1793306804.511, "s": 80.39} +{"seq": 59, "idx": 109, "ok": true, "gold": "28", "reply": "To find the total cost of the gas after the cashback rewards, follow these steps:\n\n1. **Calculate the initial cost of the gas:**\n The gas costs $3.00 per gallon.\n For 10 gallons: $10 \\times \\$3.00 = \\$30.00$.\n\n2. **Calculate the total cashback amount:**\n The cashback is $0.20 per gallon.\n For 10 gallons: $10 \\times \\$0.20 = \\$2.00$.\n\n3. **Subtract the cashback from the initial cost:**\n $\\$30.00 - \\$2.00 = \\$28.00$.\n\nAlternatively, you can calculate the net cost per gallon first:\n1. **Calculate the net cost per gallon:**\n $\\$3.00 - \\$0.20 = \\$2.80$ per gallon.\n2. **Multiply by the number of gallons:**\n $10 \\times \\$2.80 = \\$28.00$.\n\nAnswer: 28.00", "usage": {"completion_tokens": 243, "prompt_tokens": 88, "total_tokens": 331, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306739.621, "t1": 1793306815.842, "s": 76.22} +{"seq": 60, "idx": 108, "ok": true, "gold": "50", "reply": "To find out how many cookies Henry baked last year, we can set up an equation based on the information provided.\n\n1. **Define the variable:**\n Let $x$ be the number of cookies Henry baked last year.\n\n2. **Translate the steps into an algebraic expression:**\n * Henry wanted to make twice as many as last year: $2x$.\n * He actually baked 15 more than he meant to: $2x + 15$.\n * He dropped 5 cookies: $(2x + 15) - 5$.\n * The final total of cookies is 110: $(2x + 15) - 5 = 110$.\n\n3. **Solve the equation:**\n First, simplify the left side of the equation:\n $2x + 15 - 5 = 110$\n $2x + 10 = 110$\n\n Next, subtract 10 from both sides:\n $2x = 110 - 10$\n $2x = 100$\n\n Finally, divide by 2:\n $x = \\frac{100}{2}$\n $x = 50$\n\n4. **Verify the result:**\n * Last year: 50 cookies.\n * Twice last year: $50 \\times 2 = 100$ cookies.\n * 15 more than intended: $100 + 15 = 115$ cookies.\n * Dropped 5: $115 - 5 = 110$ cookies.\n The result matches the final total given in the problem.\n\nAnswer: 50", "usage": {"completion_tokens": 396, "prompt_tokens": 109, "total_tokens": 505, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306737.12, "t1": 1793306816.326, "s": 79.21} +{"seq": 61, "idx": 110, "ok": true, "gold": "45", "reply": "To find the average number of fruit roll-ups eaten, we first need to calculate the total number of roll-ups eaten by each person.\n\n1. **Calculate Beatrice's total roll-ups:**\n Beatrice's roll-ups form a rectangle that is 2 roll-ups wide and 24 roll-ups long.\n Total for Beatrice = $2 \\times 24 = 48$ roll-ups.\n\n2. **Calculate Marcell's total roll-ups:**\n Marcell's roll-ups form a rectangle that is 3 roll-ups wide and 14 roll-ups long.\n Total for Marcell = $3 \\times 14 = 42$ roll-ups.\n\n3. **Calculate the total number of roll-ups eaten by both:**\n Total = $48 + 42 = 90$ roll-ups.\n\n4. **Calculate the average number of roll-ups eaten:**\n Since there are two people, we divide the total number of roll-ups by 2.\n Average = $\\frac{90}{2} = 45$.\n\nAnswer: 45", "usage": {"completion_tokens": 256, "prompt_tokens": 119, "total_tokens": 375, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306745.123, "t1": 1793306818.921, "s": 73.8} +{"seq": 62, "idx": 113, "ok": true, "gold": "25", "reply": "To find the total number of flowers Ryan has, we can follow these steps:\n\n1. **Calculate the total number of flowers planted:**\n Ryan plants 2 flowers every day for 15 days.\n $2 \\text{ flowers/day} \\times 15 \\text{ days} = 30 \\text{ flowers planted.}$\n\n2. **Subtract the flowers that did not grow:**\n Out of the 30 flowers planted, 5 did not grow.\n $30 \\text{ flowers} - 5 \\text{ flowers} = 25 \\text{ flowers.}$\n\nRyan has 25 flowers.\n\nAnswer: 25", "usage": {"completion_tokens": 147, "prompt_tokens": 59, "total_tokens": 206, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306759.628, "t1": 1793306824.956, "s": 65.33} +{"seq": 63, "idx": 111, "ok": true, "gold": "16", "reply": "To find out how much water the boat took on, we need to determine the total distance Julia rowed to reach the shore.\n\n1. **Determine the rowing speed:**\n Julia rows 20 feet in 16 seconds.\n Speed = Distance / Time = $20 \\text{ feet} / 16 \\text{ seconds} = 1.25 \\text{ feet per second}$.\n\n2. **Determine the total distance to the shore:**\n The shore is 64 seconds away.\n Total Distance = Speed $\\times$ Time\n Total Distance = $1.25 \\text{ feet/second} \\times 64 \\text{ seconds} = 80 \\text{ feet}$.\n\n3. **Determine the rate of water intake per foot:**\n The boat takes on 2 liters of water for every 10 feet rowed.\n Rate = $2 \\text{ liters} / 10 \\text{ feet} = 0.2 \\text{ liters per foot}$.\n\n4. **Calculate the total water taken on:**\n Total Water = Total Distance $\\times$ Rate\n Total Water = $80 \\text{ feet} \\times 0.2 \\text{ liters/foot} = 16 \\text{ liters}$.\n\nAlternatively, using the ratio:\nIf she rows 80 feet, and the rate is 2 liters per 10 feet:\nNumber of 10-foot segments = $80 / 10 = 8$.\nTotal water = $8 \\times 2 \\text{ liters} = 16 \\text{ liters}$.\n\nAnswer: 16", "usage": {"completion_tokens": 363, "prompt_tokens": 98, "total_tokens": 461, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306749.124, "t1": 1793306825.975, "s": 76.85} +{"seq": 64, "idx": 112, "ok": true, "gold": "24", "reply": "To find the total number of times the whiteboard is cleaned in a day, we can follow these steps:\n\n1. **Determine the total number of lessons per day:**\n There are 4 teachers, and each teacher has 2 lessons per day.\n Total lessons = $4 \\text{ teachers} \\times 2 \\text{ lessons/teacher} = 8 \\text{ lessons per day}$.\n\n2. **Determine the number of times the whiteboard is cleaned per lesson:**\n The problem states the whiteboard is cleaned 3 times per lesson.\n\n3. **Calculate the total number of cleanings per day:**\n Total cleanings = (Total lessons per day) $\\times$ (Cleanings per lesson)\n Total cleanings = $8 \\text{ lessons} \\times 3 \\text{ cleanings/lesson} = 24 \\text{ cleanings}$.\n\nAnswer: 24", "usage": {"completion_tokens": 196, "prompt_tokens": 87, "total_tokens": 283, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306758.627, "t1": 1793306828.257, "s": 69.63} +{"seq": 65, "idx": 114, "ok": true, "gold": "6", "reply": "To find the number of ducks in Jamal's photograph, we can work backward from the information provided.\n\n1. **Find the capacity of Jamal's phone:**\n Jamal's phone can hold 1800 photographs.\n\n2. **Find the capacity of Brittany's phone:**\n We are told that Jamal's phone can hold 6 times more photographs than Brittany's phone.\n Let $B$ be the capacity of Brittany's phone.\n $6 \\times B = 1800$\n $B = 1800 / 6$\n $B = 300$\n So, Brittany's phone can hold 300 photographs.\n\n3. **Find the number of birds in the photograph:**\n We are told that the maximum number of photographs Brittany's phone can hold (which is 300) is 50 times more than the number of birds in Jamal's photograph.\n Let $D$ be the number of ducks (birds) in the photograph.\n $50 \\times D = 300$\n $D = 300 / 50$\n $D = 6$\n\nTherefore, there are 6 ducks in Jamal's photograph.\n\nAnswer: 6", "usage": {"completion_tokens": 287, "prompt_tokens": 116, "total_tokens": 403, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306765.629, "t1": 1793306835.868, "s": 70.24} +{"seq": 66, "idx": 117, "ok": true, "gold": "360", "reply": "To find the total amount John paid, follow these steps:\n\n1. **Determine the total number of pairs of shoes:**\n John has 3 children, and he buys 2 pairs of shoes for each child.\n $3 \\text{ children} \\times 2 \\text{ pairs/child} = 6 \\text{ pairs of shoes}$\n\n2. **Calculate the total cost:**\n Each pair of shoes costs $60.\n $6 \\text{ pairs} \\times \\$60/\\text{pair} = \\$360$\n\nJohn paid $360.\n\nAnswer: 360", "usage": {"completion_tokens": 138, "prompt_tokens": 59, "total_tokens": 197, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306780.134, "t1": 1793306836.261, "s": 56.13} +{"seq": 67, "idx": 116, "ok": true, "gold": "42", "reply": "To find the number of teaspoonfuls of sugar Katy used, we follow these steps:\n\n1. **Identify the ratio and the total amount:**\n The ratio of sugar to water is $7:13$.\n The total amount of sugar and water combined is $120$ units (teaspoons of sugar + cups of water).\n\n2. **Determine the total number of parts in the ratio:**\n The total number of parts is the sum of the parts for sugar and water:\n $7 + 13 = 20$ parts.\n\n3. **Calculate the value of one part:**\n Since the total amount is $120$ and there are $20$ parts, we divide the total amount by the total number of parts:\n $120 \\div 20 = 6$.\n So, each \"part\" represents $6$ units.\n\n4. **Calculate the amount of sugar:**\n The ratio for sugar is $7$ parts.\n $\\text{Sugar} = 7 \\text{ parts} \\times 6 \\text{ units/part} = 42$.\n\n**Verification:**\nWater = $13 \\text{ parts} \\times 6 = 78$.\nTotal = $42 + 78 = 120$.\nRatio = $42:78 = 7:13$.\n\nThe number of teaspoonfuls of sugar used is 42.\n\nAnswer: 42", "usage": {"completion_tokens": 328, "prompt_tokens": 81, "total_tokens": 409, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306778.633, "t1": 1793306844.813, "s": 66.18} +{"seq": 68, "idx": 115, "ok": true, "gold": "90", "reply": "To find the total profit Sasha makes, we need to calculate her total cost and her total revenue from selling the lumber at the new prices.\n\n**1. Calculate the total cost of the lumber:**\n* **2 x 4 x 10 boards:** She has 10 boards, and each cost $10.\n Cost = $10 \\times 10 = \\$100$\n* **4 x 4 x 10 boards:** She has 5 boards, and each cost $16.\n Cost = $5 \\times 16 = \\$80$\n* **Total Cost** = $\\$100 + \\$80 = \\$180$\n\n**2. Calculate the new selling price per board:**\nThe prices have gone up by 50%. This means the new price is the original cost plus 50% of the original cost (or simply $1.5 \\times$ the original cost).\n* **New price for 2 x 4 x 10:** $\\$10 \\times 1.5 = \\$15$\n* **New price for 4 x 4 x 10:** $\\$16 \\times 1.5 = \\$24$\n\n**3. Calculate the total revenue from selling the lumber:**\n* **Revenue from 2 x 4 x 10 boards:** $10 \\text{ boards} \\times \\$15 = \\$150$\n* **Revenue from 4 x 4 x 10 boards:** $5 \\text{ boards} \\times \\$24 = \\$120$\n* **Total Revenue** = $\\$150 + \\$120 = \\$270$\n\n**4. Calculate the profit:**\nProfit is calculated as Total Revenue minus Total Cost.\n* **Profit** = $\\$270 - \\$180 = \\$90$\n\nAnswer: 90", "usage": {"completion_tokens": 422, "prompt_tokens": 122, "total_tokens": 544, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306774.632, "t1": 1793306849.552, "s": 74.92} +{"seq": 69, "idx": 118, "ok": true, "gold": "4", "reply": "To find the number of containers imported on the second day, we can follow these steps:\n\n1. **Calculate the number of vehicles imported on the first day:**\n There were 2 containers, and each container had 5 vehicles.\n $2 \\text{ containers} \\times 5 \\text{ vehicles/container} = 10 \\text{ vehicles}$.\n\n2. **Determine the total number of vehicles imported on the second day:**\n The total number of vehicles at the port became 30. We subtract the vehicles from the first day from this total.\n $30 \\text{ total vehicles} - 10 \\text{ initial vehicles} = 20 \\text{ vehicles imported on the second day}$.\n\n3. **Calculate the number of containers imported on the second day:**\n We know that each container contains 5 vehicles. To find the number of containers, we divide the number of vehicles imported on the second day by the number of vehicles per container.\n $20 \\text{ vehicles} \\div 5 \\text{ vehicles/container} = 4 \\text{ containers}$.\n\nAnswer: 4", "usage": {"completion_tokens": 247, "prompt_tokens": 101, "total_tokens": 348, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306784.135, "t1": 1793306850.475, "s": 66.34} +{"seq": 70, "idx": 120, "ok": true, "gold": "240", "reply": "To find out how many sheets of paper Miguel uses every month, we follow these steps:\n\n1. **Calculate the number of sheets used per week:**\n Miguel uses 2 pads of paper a week. Each pad contains 30 sheets.\n $2 \\text{ pads} \\times 30 \\text{ sheets/pad} = 60 \\text{ sheets per week}$.\n\n2. **Calculate the number of sheets used per month:**\n Standard mathematical problems of this type typically assume there are 4 weeks in a month unless otherwise specified.\n $60 \\text{ sheets/week} \\times 4 \\text{ weeks/month} = 240 \\text{ sheets per month}$.\n\n(Note: If the problem implies a standard calendar month of approximately 4.34 weeks, the answer would differ, but in basic arithmetic word problems, 4 weeks is the standard convention for \"a month\".)\n\nAnswer: 240", "usage": {"completion_tokens": 209, "prompt_tokens": 68, "total_tokens": 277, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306793.138, "t1": 1793306857.251, "s": 64.11} +{"seq": 71, "idx": 121, "ok": true, "gold": "27", "reply": "To find the total number of fruits, we first determine the number of fruits each person brought.\n\n**1. Morisette's fruits:**\n* Apples: 5\n* Oranges: 8\n* Total for Morisette: $5 + 8 = 13$\n\n**2. Kael's fruits:**\n* Apples: Kael brought twice the amount of apples as Morisette.\n $5 \\times 2 = 10$ apples.\n* Oranges: Kael brought half the number of oranges as Morisette.\n $8 \\div 2 = 4$ oranges.\n* Total for Kael: $10 + 4 = 14$\n\n**3. Total fruits:**\nTo find the total, add Morisette's total and Kael's total:\n$13 + 14 = 27$\n\nAlternatively, sum all individual fruits:\nApples: $5 (\\text{Morisette}) + 10 (\\text{Kael}) = 15$\nOranges: $8 (\\text{Morisette}) + 4 (\\text{Kael}) = 12$\nTotal: $15 + 12 = 27$\n\nAnswer: 27", "usage": {"completion_tokens": 281, "prompt_tokens": 80, "total_tokens": 361, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306801.64, "t1": 1793306865.981, "s": 64.34} +{"seq": 72, "idx": 122, "ok": true, "gold": "48", "reply": "To find the total number of hours Sadie slept throughout the week, we calculate the hours for each day step-by-step.\n\n1. **Monday:**\n Sadie slept **8 hours**.\n\n2. **Tuesday and Wednesday (the next two days):**\n She slept 2 hours less than Monday each day.\n Tuesday: $8 - 2 = 6$ hours.\n Wednesday: $8 - 2 = 6$ hours.\n\n3. **The rest of the week (Thursday, Friday, Saturday, Sunday):**\n The \"rest of the week\" consists of 4 days.\n She slept 1 hour more than those two days (Tuesday and Wednesday).\n Hours per day for the rest of the week: $6 + 1 = 7$ hours.\n Total for these 4 days: $4 \\times 7 = 28$ hours.\n\n4. **Total hours for the week:**\n Total = Monday + Tuesday + Wednesday + (Thursday + Friday + Saturday + Sunday)\n Total = $8 + 6 + 6 + 28$\n Total = $20 + 28$\n Total = $48$ hours.\n\nAnswer: 48", "usage": {"completion_tokens": 273, "prompt_tokens": 90, "total_tokens": 363, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306804.141, "t1": 1793306866.469, "s": 62.33} +{"seq": 73, "idx": 123, "ok": true, "gold": "50", "reply": "To find the total number of miles Rosie can run in 7 hours, we need to calculate the distance covered in two separate stages.\n\n**Stage 1: The first 3 hours**\nRosie runs at a speed of 10 miles per hour for 3 hours.\nDistance = Speed \u00d7 Time\nDistance = 10 mph \u00d7 3 hours = 30 miles.\n\n**Stage 2: The remaining time**\nThe total time is 7 hours. Since she has already run for 3 hours, the remaining time is:\n7 hours - 3 hours = 4 hours.\nDuring this time, her speed is 5 miles per hour.\nDistance = Speed \u00d7 Time\nDistance = 5 mph \u00d7 4 hours = 20 miles.\n\n**Total Distance:**\nTotal Distance = Distance from Stage 1 + Distance from Stage 2\nTotal Distance = 30 miles + 20 miles = 50 miles.\n\nAnswer: 50", "usage": {"completion_tokens": 209, "prompt_tokens": 66, "total_tokens": 275, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306804.642, "t1": 1793306869.97, "s": 65.33} +{"seq": 74, "idx": 126, "ok": true, "gold": "82", "reply": "To find the total number of sausages Dylan bought, we need to calculate the number of fish sausages first and then add that to the number of chicken sausages.\n\n1. **Identify the number of chicken sausages:**\n Dylan bought 38 chicken sausages.\n\n2. **Calculate the number of fish sausages:**\n He bought 6 more fish sausages than chicken sausages.\n Number of fish sausages = 38 + 6 = 44.\n\n3. **Calculate the total number of sausages:**\n Total sausages = Chicken sausages + Fish sausages\n Total sausages = 38 + 44\n\n4. **Perform the addition:**\n 38 + 44 = 82\n\nDylan bought 82 sausages in all.\n\nAnswer: 82", "usage": {"completion_tokens": 168, "prompt_tokens": 70, "total_tokens": 238, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306819.146, "t1": 1793306879.748, "s": 60.6} +{"seq": 75, "idx": 124, "ok": true, "gold": "10", "reply": "To find out how many letters were in the pile of already-stamped letters when Jennie began, we can follow these steps:\n\n1. **Identify the initial number of letters needing stamps:**\n Jennie starts with 60 letters that need stamps.\n\n2. **Calculate how many letters Jennie stamped:**\n Jennie stamps one-third of the letters needing stamps.\n $\\text{Letters stamped} = \\frac{1}{3} \\times 60 = 20$ letters.\n\n3. **Determine the total number of stamped letters after Jennie's work:**\n After Jennie finishes, there are 30 letters in the pile of already-stamped letters.\n\n4. **Calculate the initial number of stamped letters:**\n The 30 letters currently in the stamped pile consist of the letters that were already stamped plus the letters Jennie just stamped.\n $\\text{Total stamped letters} = \\text{Initial stamped letters} + \\text{Letters Jennie stamped}$\n $30 = \\text{Initial stamped letters} + 20$\n\n5. **Solve for the initial number:**\n $\\text{Initial stamped letters} = 30 - 20 = 10$\n\nAnswer: 10", "usage": {"completion_tokens": 271, "prompt_tokens": 101, "total_tokens": 372, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306816.145, "t1": 1793306882.674, "s": 66.53} +{"seq": 76, "idx": 125, "ok": true, "gold": "10", "reply": "To find out how many spoons were in the package Julia bought, we can set up an equation based on the information provided.\n\n1. **Identify the variables and known values:**\n * Let $x$ be the number of spoons in the package Julia bought.\n * The number of spoons her husband bought is $5$.\n * The number of spoons Julia used (and thus no longer available for the table) is $3$.\n * The total number of spoons she had when setting the table is $12$.\n\n2. **Set up the equation:**\n The total number of spoons is the sum of the spoons in Julia's package and the spoons from her husband, minus the spoons she used for sampling.\n $$x + 5 - 3 = 12$$\n\n3. **Solve the equation:**\n * Simplify the left side:\n $$x + 2 = 12$$\n * Subtract 2 from both sides to isolate $x$:\n $$x = 12 - 2$$\n $$x = 10$$\n\n4. **Verify the result:**\n If Julia bought 10 spoons and her husband gave her 5, she had $10 + 5 = 15$ spoons. After using 3 spoons to sample the stew, she had $15 - 3 = 12$ spoons left. This matches the total number of spoons she had when setting the table.\n\nAnswer: 10", "usage": {"completion_tokens": 327, "prompt_tokens": 139, "total_tokens": 466, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306816.645, "t1": 1793306886.448, "s": 69.8} +{"seq": 77, "idx": 127, "ok": true, "gold": "120", "reply": "To find the total number of friends Lily and Amy have together, we follow these steps:\n\n1. **Identify the number of friends Lily made:**\n Lily made 50 friends.\n\n2. **Calculate the number of friends Amy made:**\n Amy made 20 more friends than Lily.\n Amy's friends = Lily's friends + 20\n Amy's friends = 50 + 20 = 70\n\n3. **Calculate the total number of friends Lily and Amy have together:**\n Total friends = Lily's friends + Amy's friends\n Total friends = 50 + 70 = 120\n\nAnswer: 120", "usage": {"completion_tokens": 154, "prompt_tokens": 64, "total_tokens": 218, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306825.148, "t1": 1793306889.681, "s": 64.53} +{"seq": 78, "idx": 119, "ok": false, "gold": "95200", "reply": "To find the total salary Adrien and Lylah were receiving four years later, we follow these steps:\n\n**1. Determine Adrien's salary four years ago:**\nThe problem states that Adrien earned $40,000 four years ago.\n\n**2. Determine Lylah's salary four years ago:**\nWe are told that Adrien's total salary was 30% higher than Lylah's.\nLet $L_{old}$ be Lylah's salary four years ago.\n$40,000 = L_{old} \\times (1 + 0.30)$\n$40,000 = 1.3 \\times L_{old}$\n$L_{old} = \\frac{40,000}{1.3} \\approx 30,769.23$\n\n**3. Determine Adrien's salary four years later:**\nAdrien's salary increased by 40% from what he was making four years ago.\n$A_{new} = 40,000 \\times (1 + 0.40)$\n$A_{new} = 40,000 \\times 1.4 = 56,000$\n\n**4. Determine Lylah's salary four years later:**\nThe problem states that \"Adrien's and Lylah's salary increased simultaneously.\" In the context of such problems, this implies they received the same percentage increase. Since Adrien's salary increased by 40%, Lylah's salary also increased by 40%.\n$L_{new} = L_{old} \\times 1.4$\n$L_{new} = \\frac{40,000}{1.3} \\times 1.4$\n$L_{new} = \\frac{56,000}{1.3} \\approx 43,076.92$\n\n**5. Calculate the total salary four years later:**\nTotal Salary = $A_{new} + L_{new}$\nTotal Salary = $56,000 + \\frac{56,000}{1.3}$\nTotal Salary = $56,000 + 43,076.923...$\nTotal Salary = $56,000 \\times (1 + \\frac{1}{1.3})$\nTotal Salary = $56,000 \\times (\\frac{1.3 + 1}{1.3})$\nTotal Salary = $56,000 \\times \\frac{2.3}{1.3}$\nTotal Salary = $\\frac{128,800}{1.3}$\nTotal Salary $\\approx 99,076.92$\n\nWait, let's re-read to ensure no misinterpretation. \"Adrien's and Lylah's salary increased simultaneously\" usually implies they both underwent the same growth rate in these types of word problems. \n\nCalculation:\n$A_{old} = 40,000$\n$L_{old} = 40,000 / 1.3$\n$A_{new} = 40,000 \\times 1.4 = 56,000$\n$L_{new} = (40,000 / 1.3) \\times 1.4 = 56,000 / 1.3$\nTotal = $56,000 + 56,000/1.3 = 56,000(1 + 1/1.3) = 56,000(2.3/1.3) = 128,800 / 1.3 \\approx 99,076.92$\n\nHowever, if \"increased simultaneously\" simply means they both received an increase, but the problem doesn't explicitly state Lylah's rate, we look for a standard interpretation. Usually, in such math problems, if a rate is given for one and they \"increase simultaneously,\" it implies the same rate. \n\nLet's check the math again.\n$128,800 \\div 1.3 = 99,076.923...$\n\nIf the question implies Lylah's salary also increased by 40%:\n$56,000 + 43,076.92 = 99,076.92$\n\nIf the question implies Lylah's salary stayed the same (unlikely):", "usage": {"completion_tokens": 1024, "prompt_tokens": 114, "total_tokens": 1138, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306788.137, "t1": 1793306897.315, "s": 109.18} +{"seq": 79, "idx": 130, "ok": true, "gold": "30", "reply": "To find out how many elves are left, we follow the steps of the problem:\n\n1. **Initial number of elves:** 60\n2. **First group quits:** A third of the elves quit.\n $\\frac{1}{3} \\times 60 = 20$ elves quit.\n3. **Remaining elves after the first group quits:**\n $60 - 20 = 40$ elves remaining.\n4. **Second group quits:** 10 of the remaining elves quit.\n $40 - 10 = 30$ elves remaining.\n\nThere are 30 elves left.\n\nAnswer: 30", "usage": {"completion_tokens": 149, "prompt_tokens": 83, "total_tokens": 232, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306836.152, "t1": 1793306898.826, "s": 62.67} +{"seq": 80, "idx": 128, "ok": true, "gold": "880", "reply": "To find the total amount Dillon spends, we first need to determine the cost of each item based on the price of a pepper.\n\n1. **Identify the cost of a pepper:**\n The problem states that each pepper costs $15.\n Cost of 1 pepper = $15\n\n2. **Calculate the cost of a watermelon:**\n A watermelon costs three times what each pepper costs.\n Cost of 1 watermelon = $15 * 3 = $45\n\n3. **Calculate the cost of an orange:**\n An orange costs $5 less than what a watermelon costs.\n Cost of 1 orange = $45 - $5 = $40\n\n4. **Calculate the total cost for each type of fruit:**\n * **Watermelons:** Dillon buys 4 watermelons.\n Total for watermelons = 4 * $45 = $180\n * **Peppers:** Dillon buys 20 peppers.\n Total for peppers = 20 * $15 = $300\n * **Oranges:** Dillon buys 10 oranges.\n Total for oranges = 10 * $40 = $400\n\n5. **Calculate the total amount spent:**\n Total amount = Total for watermelons + Total for peppers + Total for oranges\n Total amount = $180 + $300 + $400 = $880\n\nAnswer: 880", "usage": {"completion_tokens": 326, "prompt_tokens": 113, "total_tokens": 439, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306826.149, "t1": 1793306903.01, "s": 76.86} +{"seq": 81, "idx": 131, "ok": true, "gold": "940", "reply": "To find the total expenditure for the two months, we follow these steps:\n\n1. **Identify the expenditure for May:**\n Joseph's expenditure in May was $500.\n\n2. **Calculate the expenditure for June:**\n The problem states that in June, his expenditure was $60 less than in May.\n June expenditure = May expenditure - $60\n June expenditure = $500 - $60 = $440.\n\n3. **Calculate the total expenditure for both months:**\n Total expenditure = May expenditure + June expenditure\n Total expenditure = $500 + $440 = $940.\n\nAnswer: 940", "usage": {"completion_tokens": 152, "prompt_tokens": 63, "total_tokens": 215, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306836.652, "t1": 1793306906.627, "s": 69.98} +{"seq": 82, "idx": 129, "ok": true, "gold": "10000", "reply": "To find the total profit the hospital makes from these visits, we need to calculate the total revenue and the total cost.\n\n**1. Calculate the total number of hours spent with patients:**\n* Number of patients per day: 500\n* Average time per patient: 24 minutes\n* Total minutes per day: $500 \\times 24 = 12,000$ minutes\n* Total hours per day: $12,000 \\div 60 = 200$ hours\n\n**2. Calculate the total revenue (what patients pay the hospital):**\n* The hospital charges patients $200 per hour.\n* Total revenue = $200 \\text{ hours} \\times \\$200/\\text{hour} = \\$40,000$\n\n**3. Calculate the total cost (what the hospital pays the doctors):**\n* The doctors charge the hospital $150 per hour.\n* Total cost = $200 \\text{ hours} \\times \\$150/\\text{hour} = \\$30,000$\n\n**4. Calculate the total profit:**\n* Profit = Total Revenue - Total Cost\n* Profit = $\\$40,000 - \\$30,000 = \\$10,000$\n\nAlternatively, you can calculate the profit per hour:\n* Profit per hour = $\\$200 - \\$150 = \\$50$\n* Total profit = $200 \\text{ hours} \\times \\$50/\\text{hour} = \\$10,000$\n\nAnswer: 10000", "usage": {"completion_tokens": 373, "prompt_tokens": 92, "total_tokens": 465, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306828.65, "t1": 1793306909.232, "s": 80.58} +{"seq": 83, "idx": 132, "ok": true, "gold": "60", "reply": "To find the total number of tickets used, we need to calculate the total number of rides taken by both Pam and Fred and then multiply that by the cost per ride.\n\n**Step 1: Calculate the total number of roller coaster rides.**\n- Pam rode the roller coaster 2 times.\n- Fred rode the roller coaster 4 times.\n- Total roller coaster rides = $2 + 4 = 6$ rides.\n\n**Step 2: Calculate the total number of luge rides.**\n- Each of them (Pam and Fred) rode the luge 2 times.\n- Total luge rides = $2 \\text{ (for Pam)} + 2 \\text{ (for Fred)} = 4$ rides.\n\n**Step 3: Calculate the total number of rides combined.**\n- Total rides = $6 \\text{ (roller coaster)} + 4 \\text{ (luge)} = 10$ rides.\n\n**Step 4: Calculate the total cost in tickets.**\n- Each ride costs 6 tickets.\n- Total tickets = $10 \\text{ rides} \\times 6 \\text{ tickets/ride} = 60$ tickets.\n\nAnswer: 60", "usage": {"completion_tokens": 259, "prompt_tokens": 86, "total_tokens": 345, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306845.154, "t1": 1793306914.069, "s": 68.92} +{"seq": 84, "idx": 133, "ok": true, "gold": "13", "reply": "To find out how many miles Walt walked on Wednesday, we can follow these steps:\n\n1. **Calculate the miles walked on Monday:**\n Walt walked 4 miles on Monday.\n\n2. **Calculate the miles walked on Tuesday:**\n He walked 6 times as many miles as he walked on Monday.\n $6 \\times 4 = 24$ miles.\n\n3. **Calculate the total miles walked on Monday and Tuesday combined:**\n $4 \\text{ (Monday)} + 24 \\text{ (Tuesday)} = 28$ miles.\n\n4. **Calculate the miles walked on Wednesday:**\n We know the total mileage for Monday through Wednesday was 41 miles. To find Wednesday's mileage, subtract the combined mileage of Monday and Tuesday from the total.\n $41 \\text{ (Total)} - 28 \\text{ (Monday + Tuesday)} = 13$ miles.\n\nAnswer: 13", "usage": {"completion_tokens": 210, "prompt_tokens": 75, "total_tokens": 285, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306849.656, "t1": 1793306915.482, "s": 65.83} +{"seq": 85, "idx": 135, "ok": true, "gold": "40", "reply": "To find out how many video games Bobby has, we need to follow these steps:\n\n1. **Determine how many video games Brian has after losing some:**\n Brian started with 20 video games but lost 5.\n $20 - 5 = 15$ video games.\n\n2. **Calculate \"3 times as many\" as Brian's current amount:**\n Brian now has 15 video games.\n $3 \\times 15 = 45$.\n\n3. **Calculate Bobby's total based on the comparison:**\n Bobby has \"5 fewer than\" that amount (45).\n $45 - 5 = 40$.\n\nBobby has 40 video games.\n\nAnswer: 40", "usage": {"completion_tokens": 167, "prompt_tokens": 76, "total_tokens": 243, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306857.658, "t1": 1793306919.193, "s": 61.53} +{"seq": 86, "idx": 134, "ok": true, "gold": "720", "reply": "To find out how much Tom pays in a year, we can follow these steps:\n\n1. **Calculate the monthly cost:**\n Tom gets 4 car washes a month, and each wash costs $15.\n $4 \\text{ washes} \\times \\$15/\\text{wash} = \\$60 \\text{ per month}$\n\n2. **Calculate the yearly cost:**\n There are 12 months in a year.\n $\\$60 \\text{ per month} \\times 12 \\text{ months} = \\$720 \\text{ per year}$\n\nAlternatively, you can calculate the total number of washes in a year first:\n1. **Total washes per year:**\n $4 \\text{ washes/month} \\times 12 \\text{ months/year} = 48 \\text{ washes per year}$\n2. **Total cost per year:**\n $48 \\text{ washes} \\times \\$15/\\text{wash} = \\$720$\n\nAnswer: 720", "usage": {"completion_tokens": 233, "prompt_tokens": 56, "total_tokens": 289, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306850.656, "t1": 1793306920.706, "s": 70.05} +{"seq": 87, "idx": 136, "ok": true, "gold": "6", "reply": "To find the number of female Scottish unicorns, follow these steps:\n\n1. **Find the total number of unicorns in the Scottish Highlands:**\n The problem states that one third of the 27 unicorns are in the Scottish Highlands.\n $27 \\times \\frac{1}{3} = 9$ unicorns.\n\n2. **Find the number of female unicorns among the Scottish unicorns:**\n The problem states that two thirds of the Scottish unicorns are female.\n $9 \\times \\frac{2}{3} = 6$ unicorns.\n\nThere are 6 female Scottish unicorns.\n\nAnswer: 6", "usage": {"completion_tokens": 134, "prompt_tokens": 70, "total_tokens": 204, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306866.16, "t1": 1793306922.706, "s": 56.55} +{"seq": 88, "idx": 139, "ok": true, "gold": "70", "reply": "To find the number of pink gumballs, we can follow these steps:\n\n1. **Identify the number of blue gumballs:**\n The problem states there are 12 blue gumballs.\n\n2. **Translate the relationship into an equation:**\n The problem states the number of pink gumballs is \"22 more than four times the number of blue gumballs.\"\n Let $B$ be the number of blue gumballs and $P$ be the number of pink gumballs.\n The relationship is: $P = 4B + 22$\n\n3. **Substitute the known value into the equation:**\n Since $B = 12$:\n $P = 4(12) + 22$\n\n4. **Perform the calculation:**\n $P = 48 + 22$\n $P = 70$\n\nThere are 70 pink gumballs.\n\nAnswer: 70", "usage": {"completion_tokens": 217, "prompt_tokens": 75, "total_tokens": 292, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306880.164, "t1": 1793306933.019, "s": 52.85} +{"seq": 89, "idx": 137, "ok": true, "gold": "29", "reply": "To find the total cost of Rory's delivery order, we need to calculate the subtotal, the delivery fee, and then add the tip.\n\n**1. Calculate the subtotal of the items:**\n* 2 subs at $7.50 each: $2 \\times 7.50 = \\$15.00$\n* 2 bags of chips at $1.50 each: $2 \\times 1.50 = \\$3.00$\n* 2 cookies at $1.00 each: $2 \\times 1.00 = \\$2.00$\n\n**Subtotal** = $\\$15.00 + \\$3.00 + \\$2.00 = \\$20.00$\n\n**2. Calculate the 20% delivery fee:**\nThe delivery fee is 20% of the subtotal.\n* Delivery fee = $0.20 \\times \\$20.00 = \\$4.00$\n\n**3. Calculate the total cost including the delivery fee and the tip:**\n* Subtotal: $20.00\n* Delivery fee: $4.00\n* Tip: $5.00\n\n**Total Cost** = $\\$20.00 + \\$4.00 + \\$5.00 = \\$29.00$\n\nAnswer: 29.00", "usage": {"completion_tokens": 308, "prompt_tokens": 105, "total_tokens": 413, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306866.661, "t1": 1793306933.781, "s": 67.12} +{"seq": 90, "idx": 140, "ok": true, "gold": "20", "reply": "To find the percentage of cars that are semi-automatic, follow these steps:\n\n1. **Find the number of semi-automatic cars:**\n The total number of cars is 20.\n The number of automatic cars is 12.\n The number of manual cars is 4.\n \n Number of semi-automatic cars = Total cars - (Automatic cars + Manual cars)\n Number of semi-automatic cars = $20 - (12 + 4)$\n Number of semi-automatic cars = $20 - 16 = 4$\n\n2. **Calculate the percentage of semi-automatic cars:**\n To find the percentage, divide the number of semi-automatic cars by the total number of cars and multiply by 100.\n \n Percentage = $\\left( \\frac{\\text{Number of semi-automatic cars}}{\\text{Total number of cars}} \\right) \\times 100$\n Percentage = $\\left( \\frac{4}{20} \\right) \\times 100$\n\n3. **Simplify the calculation:**\n $\\frac{4}{20} = \\frac{1}{5}$\n $\\frac{1}{5} \\times 100 = 20\\%$\n\nAnswer: 20%", "usage": {"completion_tokens": 287, "prompt_tokens": 70, "total_tokens": 357, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306883.166, "t1": 1793306939.174, "s": 56.01} +{"seq": 91, "idx": 138, "ok": true, "gold": "105", "reply": "To find out how many questions Mark left incomplete, we need to calculate how many questions he completed in each test and subtract that from the total number of questions in each test.\n\n**Step 1: Calculate questions completed in the first test.**\n- Total questions in the first test: 75\n- Rate of completion: 5 questions per hour\n- Time spent on the first test: 8 hours\n- Questions completed = Rate $\\times$ Time\n- Questions completed = $5 \\text{ questions/hour} \\times 8 \\text{ hours} = 40 \\text{ questions}$\n- Questions left incomplete in the first test = $75 - 40 = 35 \\text{ questions}$\n\n**Step 2: Calculate questions completed in the second test.**\n- Total questions in the second test: 100\n- Rate of completion: 5 questions per hour (the same rate)\n- Time spent on the second test: 6 hours\n- Questions completed = Rate $\\times$ Time\n- Questions completed = $5 \\text{ questions/hour} \\times 6 \\text{ hours} = 30 \\text{ questions}$\n- Questions left incomplete in the second test = $100 - 30 = 70 \\text{ questions}$\n\n**Step 3: Calculate the total number of questions left incomplete.**\n- Total incomplete = (Incomplete from test 1) + (Incomplete from test 2)\n- Total incomplete = $35 + 70 = 105$\n\nAnswer: 105", "usage": {"completion_tokens": 339, "prompt_tokens": 102, "total_tokens": 441, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306870.162, "t1": 1793306939.175, "s": 69.01} +{"seq": 92, "idx": 142, "ok": true, "gold": "140", "reply": "To find out how much money Jordan would earn, we need to calculate the total number of hours he spends playing video games in one week and then multiply that by his hourly wage.\n\n1. **Calculate the total hours spent playing video games per week:**\n Jordan plays for 2 hours every day.\n There are 7 days in a week.\n $2 \\text{ hours/day} \\times 7 \\text{ days/week} = 14 \\text{ hours/week}$.\n\n2. **Calculate the total earnings if those hours were spent working:**\n Jordan earns $10 per hour.\n $14 \\text{ hours} \\times \\$10/\\text{hour} = \\$140$.\n\nJordan would earn $140 in one week.\n\nAnswer: 140", "usage": {"completion_tokens": 179, "prompt_tokens": 76, "total_tokens": 255, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306890.168, "t1": 1793306944.596, "s": 54.43} +{"seq": 93, "idx": 144, "ok": true, "gold": "20", "reply": "To find the profit, we first need to determine the total number of clients, then calculate the total expenses, and finally subtract the expenses from the total income.\n\n1. **Determine the total number of clients:**\n Kim has 3 existing clients and is including 5 potential clients.\n Total clients = $3 + 5 = 8$ clients.\n\n2. **Calculate the cost per client:**\n Each client requires 2 bottles of bleach and 1 pack of cloths.\n Cost of bleach per client = $2 \\text{ bottles} \\times \\$2/\\text{bottle} = \\$4$.\n Cost of cloths per client = $1 \\text{ pack} \\times \\$5/\\text{pack} = \\$5$.\n Total cost per client = $\\$4 + \\$5 = \\$9$.\n\n3. **Calculate the total expenses for all clients:**\n Total expenses = $\\text{Total clients} \\times \\text{Cost per client}$\n Total expenses = $8 \\times \\$9 = \\$72$.\n\n4. **Calculate the total profit:**\n Profit is the difference between total income and total expenses.\n Total income = $92.\n Total expenses = $72.\n Profit = $\\$92 - \\$72 = \\$20$.\n\n(Note: The problem asks for the profit \"Lucas\" will make, assuming Lucas is Kim/the business owner).\n\nAnswer: 20", "usage": {"completion_tokens": 314, "prompt_tokens": 159, "total_tokens": 473, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306899.171, "t1": 1793306957.054, "s": 57.88} +{"seq": 94, "idx": 143, "ok": true, "gold": "16", "reply": "To find the total cost, we first need to categorize the items into \"food\" and \"non-food\" items to apply the tax correctly.\n\n**1. Categorize the items:**\n* **Food items:**\n * Milk: $2\n * Eggs: $3\n * *Total Food Cost:* $2 + $3 = $5\n\n* **Non-food items:**\n * Light bulbs: $3\n * Cups: $3\n * Roach traps: $4\n * *Total Non-food Cost (before tax):* $3 + $3 + $4 = $10\n\n**2. Calculate the tax on non-food items:**\n* The tax rate is 10%.\n* Tax amount = 10% of $10 = $0.10 \\times 10 = $1.00\n\n**3. Calculate the total cost:**\n* Total Cost = (Total Food Cost) + (Total Non-food Cost) + (Tax on Non-food items)\n* Total Cost = $5 + $10 + $1 = $16\n\nAlternatively, you can calculate the total cost of non-food items including tax first:\n* Non-food items with tax = $10 + $1 = $11\n* Total cost = $5 (food) + $11 (non-food with tax) = $16\n\nAnswer: 16", "usage": {"completion_tokens": 324, "prompt_tokens": 86, "total_tokens": 410, "prompt_tokens_details": {"cached_tokens": 0}}, "error": null, "prior_errors": 0, "t0": 1793306897.67, "t1": 1793306958.073, "s": 60.4} +{"seq": 95, "idx": 141, "ok": true, "gold": "400", "reply": "To find the number of worker bees, we can set up an algebraic equation based on the information provided.\n\n1. **Define the variables:**\n Let $Q$ be the number of queens.\n Let $B$ be the number of baby bees.\n Let $W$ be the number of worker bees.\n\n2. **Set up the relationships based on the problem:**\n * \"There are twice as many babies as queens\": $B = 2Q$\n * \"There are twice as many worker bees as baby bees\": $W = 2B$\n * The total number of bees is 700: $W + B + Q = 700$\n\n3. **Express all variables in terms of $Q$:**\n * $Q = Q$\n * $B = 2Q$\n * $W = 2B = 2(2Q) = 4Q$\n\n4. **Substitute these into the total sum equation:**\n $4Q + 2Q + Q = 700$\n $7Q = 700$\n\n5. **Solve for $Q$:**\n $Q = 700 / 7$\n $Q = 100$\n\n6. **Calculate the number of worker bees ($W$):**\n Since $W = 4Q$:\n $W = 4 \\times 100$\n $W = 400$\n\n**Check the work:**\nIf $W = 400$, then $B = 400 / 2 = 200$.\nIf $B = 200$, then $Q = 200 / 2 = 100$.\nTotal bees: $400 + 200 + 100 = 700$. The values are correct.\n\nAnswer: 400", "usage": {"completion_tokens": 432, "prompt_tokens": 69, "total_tokens": 501, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306886.667, "t1": 1793306958.92, "s": 72.25} +{"seq": 96, "idx": 145, "ok": true, "gold": "4000", "reply": "To find the total number of pineapples John can harvest within a year, we follow these steps:\n\n1. **Calculate the total number of pineapples per harvest:**\n John has 10 hectares of land, and each hectare produces 100 pineapples.\n Total pineapples per harvest = $10 \\text{ hectares} \\times 100 \\text{ pineapples/hectare} = 1,000 \\text{ pineapples}$.\n\n2. **Calculate the number of harvests in a year:**\n There are 12 months in a year. John harvests every 3 months.\n Number of harvests per year = $12 \\text{ months} \\div 3 \\text{ months/harvest} = 4 \\text{ harvests}$.\n\n3. **Calculate the total number of pineapples harvested in a year:**\n Total pineapples per year = $\\text{Pineapples per harvest} \\times \\text{Number of harvests per year}$\n Total pineapples per year = $1,000 \\times 4 = 4,000 \\text{ pineapples}$.\n\nAnswer: 4000", "usage": {"completion_tokens": 253, "prompt_tokens": 73, "total_tokens": 326, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306903.172, "t1": 1793306959.818, "s": 56.65} +{"seq": 97, "idx": 149, "ok": true, "gold": "16", "reply": "To find out how many Facebook friends James has, we can follow these steps:\n\n1. **Identify the number of friends Charlie has:**\n Charlie has 12 friends.\n\n2. **Determine the number of friends Dorothy has:**\n We are told that Charlie has three times as many friends as Dorothy.\n Let $D$ be the number of Dorothy's friends.\n $3 \\times D = 12$\n $D = 12 / 3$\n $D = 4$\n So, Dorothy has 4 friends.\n\n3. **Determine the number of friends James has:**\n We are told that James has four times as many friends as Dorothy.\n Let $J$ be the number of James's friends.\n $J = 4 \\times D$\n $J = 4 \\times 4$\n $J = 16$\n\nJames has 16 Facebook friends.\n\nAnswer: 16", "usage": {"completion_tokens": 216, "prompt_tokens": 70, "total_tokens": 286, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306915.677, "t1": 1793306971.72, "s": 56.04} +{"seq": 98, "idx": 146, "ok": true, "gold": "2125", "reply": "To find the total number of Lego pieces Johnny picks up, we need to calculate the number of pieces in each of the three boxes and then sum them up.\n\n1. **First box:** The problem states the first box has **500 pieces**.\n\n2. **Second box:** This box has 3 times more pieces than the 500-piece box.\n $500 \\times 3 = 1500$ pieces.\n\n3. **Third box:** This box has 1/4 the number of pieces as the first box (the 500-piece one).\n $500 \\times \\frac{1}{4} = 125$ pieces.\n\n4. **Total pieces:** Now, add the pieces from all three boxes together:\n $500 \\text{ (Box 1)} + 1500 \\text{ (Box 2)} + 125 \\text{ (Box 3)} = 2125$ pieces.\n\nJohnny picks up a total of 2125 blocks.\n\nAnswer: 2125", "usage": {"completion_tokens": 246, "prompt_tokens": 111, "total_tokens": 357, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306906.673, "t1": 1793306972.34, "s": 65.67} +{"seq": 99, "idx": 148, "ok": true, "gold": "30", "reply": "To find out how much money Brittany's mom gave the cashier, we need to calculate the total cost of the tickets and then add the change she received.\n\n1. **Identify the cost of the tickets:**\n * The cost of an adult ticket is $12.\n * The cost of a child ticket is $10.\n\n2. **Calculate the total cost of the tickets:**\n * Total cost = Cost of 1 adult ticket + Cost of 1 child ticket\n * Total cost = $12 + $10 = $22.\n\n3. **Calculate the total amount given to the cashier:**\n * The mom received $8 in change. This means the amount she gave the cashier was the total cost of the tickets plus the change she received back.\n * Total amount given = Total cost + Change received\n * Total amount given = $22 + $8 = $30.\n\nAlternatively, we can think of it this way:\nIf the cashier gave her $8 back, it means the amount she handed over was $8 more than the actual price of the tickets.\nPrice of tickets = $12 + $10 = $22.\nAmount handed over = $22 + $8 = $30.\n\nAnswer: 30", "usage": {"completion_tokens": 286, "prompt_tokens": 96, "total_tokens": 382, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306914.176, "t1": 1793306975.834, "s": 61.66} +{"seq": 100, "idx": 152, "ok": true, "gold": "4", "reply": "To find out how much change Carl receives, we need to calculate the total cost of the cookies and subtract it from the amount he paid.\n\n1. **Calculate the total number of cookies:**\n Carl buys 10 packs, and each pack has 6 cookies.\n Total cookies = $10 \\text{ packs} \\times 6 \\text{ cookies/pack} = 60 \\text{ cookies}$.\n\n2. **Calculate the total cost of the cookies:**\n Each cookie costs $0.10.\n Total cost = $60 \\text{ cookies} \\times \\$0.10/\\text{cookie} = \\$6.00$.\n\n3. **Calculate the change received:**\n Carl pays with a $10 bill.\n Change = $\\text{Amount paid} - \\text{Total cost}$\n Change = $\\$10.00 - \\$6.00 = \\$4.00$.\n\nAnswer: 4.00", "usage": {"completion_tokens": 216, "prompt_tokens": 70, "total_tokens": 286, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306923.18, "t1": 1793306988.15, "s": 64.97} +{"seq": 101, "idx": 147, "ok": true, "gold": "75", "reply": "To find out how many bees returned to the hive in the last 6 hours, we need to track the movement of the bees step by step.\n\n**Step 1: First 6 hours (Bees leaving)**\nDebra sees 30 bees leave the hive.\n* Bees left: 30\n* Bees in hive: (Initial amount - 30)\n\n**Step 2: Next 6 hours (Bees returning)**\nShe sees 1/2 as many bees return as those that left in the first 6 hours.\n* Bees returning: $1/2 \\times 30 = 15$\n* Current status of the 30 bees that left: 15 have returned, 15 are still out.\n\n**Step 3: Next 6 hours (Bees leaving)**\nShe sees two times as many bees as she saw first leave the hive fly from the hive.\n* Bees leaving: $2 \\times 30 = 60$\n* Total bees currently out of the hive: 15 (from the first group) + 60 (from this group) = 75 bees.\n\n**Step 4: Last 6 hours (Bees returning)**\n\"Every bee that left before that hadn't already returned returns to the hive.\"\nWe need to identify which bees \"left before that\" (meaning before this final 6-hour period) and \"hadn't already returned.\"\n\nLet's look at the history of bees leaving and returning:\n1. **First group (30 bees):** 15 returned in Step 2. Therefore, 15 of these bees are still out.\n2. **Second group (60 bees):** These bees left in Step 3. They are \"bees that left before [the last 6 hours]\". None of these 60 bees have returned yet.\n\nThe problem asks for the number of bees that return in the last 6 hours. According to the rule, the bees returning are those that left previously but haven't returned yet.\n* From the first group: 15 bees are still out.\n* From the second group: 60 bees are still out.\n\nTotal bees returning in the last 6 hours = $15 + 60 = 75$.\n\nAnswer: 75", "usage": {"completion_tokens": 516, "prompt_tokens": 153, "total_tokens": 669, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306909.674, "t1": 1793306989.072, "s": 79.4} +{"seq": 102, "idx": 151, "ok": true, "gold": "5", "reply": "To find out how much Shawnda made, we need to calculate the total number of tires inflated and then multiply that by the cost per tire.\n\n1. **Calculate the number of tires for each group:**\n * **Bicycles:** 5 people came by with bicycles. Each bicycle has 2 tires.\n $5 \\text{ people} \\times 2 \\text{ tires/person} = 10 \\text{ tires}$\n * **Tricycles:** 3 people came by with tricycles. Each tricycle has 3 tires.\n $3 \\text{ people} \\times 3 \\text{ tires/person} = 9 \\text{ tires}$\n * **Unicycle:** 1 person came by with a unicycle. A unicycle has 1 tire.\n $1 \\text{ person} \\times 1 \\text{ tire/person} = 1 \\text{ tire}$\n\n2. **Calculate the total number of tires:**\n $10 + 9 + 1 = 20 \\text{ tires}$\n\n3. **Calculate the total cost in cents:**\n Each tire costs 25 cents.\n $20 \\text{ tires} \\times 25 \\text{ cents/tire} = 500 \\text{ cents}$\n\n4. **Convert the total cost to dollars:**\n There are 100 cents in a dollar.\n $500 \\text{ cents} \\div 100 = 5 \\text{ dollars}$\n\nAnswer: 5", "usage": {"completion_tokens": 344, "prompt_tokens": 118, "total_tokens": 462, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306921.179, "t1": 1793306993.01, "s": 71.83} +{"seq": 103, "idx": 150, "ok": true, "gold": "4", "reply": "To find out how long the winner will be waiting, we need to calculate the time it takes for both Steve and Tim to get home.\n\n**1. Calculate Steve's time:**\nSteve lives 3 miles away. First, we convert miles to feet.\nThere are 5,280 feet in a mile.\nDistance for Steve = $3 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 15,840 \\text{ feet}$.\nSteve's speed = $440 \\text{ feet/minute}$.\nTime for Steve = $\\frac{\\text{Distance}}{\\text{Speed}} = \\frac{15,840}{440}$.\n$15,840 \\div 440 = 1584 \\div 44 = 36 \\text{ minutes}$.\n\n**2. Calculate Tim's time:**\nTim lives 2 miles away.\nDistance for Tim = $2 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 10,560 \\text{ feet}$.\nTim's speed = $264 \\text{ feet/minute}$.\nTime for Tim = $\\frac{\\text{Distance}}{\\text{Speed}} = \\frac{10,560}{264}$.\n$10,560 \\div 264 = 40 \\text{ minutes}$.\n\n**3. Determine the winner and the waiting time:**\nSteve takes 36 minutes.\nTim takes 40 minutes.\nSteve is the winner because he takes less time.\nThe winner (Steve) will be waiting for the loser (Tim) for the difference in their times.\nWaiting time = $40 \\text{ minutes} - 36 \\text{ minutes} = 4 \\text{ minutes}$.\n\nAnswer: 4", "usage": {"completion_tokens": 415, "prompt_tokens": 122, "total_tokens": 537, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306919.678, "t1": 1793306997.011, "s": 77.33} +{"seq": 104, "idx": 156, "ok": true, "gold": "1400", "reply": "To find the total number of bananas needed for 2 months, we first calculate the total number of bananas needed by all the apes in a single month.\n\n1. **Calculate the monthly total for each type of ape:**\n * Monkeys: 200 bananas/month\n * Gorillas: 400 bananas/month\n * Baboons: 100 bananas/month\n\n2. **Calculate the total monthly requirement:**\n Total per month = 200 (monkeys) + 400 (gorillas) + 100 (baboons) = 700 bananas/month\n\n3. **Calculate the total requirement for 2 months:**\n Since the zookeeper orders bananas every 2 months, we multiply the monthly total by 2:\n Total for 2 months = 700 bananas/month \u00d7 2 months = 1,400 bananas\n\nAnswer: 1400", "usage": {"completion_tokens": 211, "prompt_tokens": 101, "total_tokens": 312, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306939.185, "t1": 1793307008.878, "s": 69.69} +{"seq": 105, "idx": 155, "ok": true, "gold": "280", "reply": "To find the total length of all the baked goods in feet, we need to calculate the length of each type of item and then sum them up.\n\n**1. Calculate the length of the rolls:**\n* Number of rolls: 300\n* Length of each roll: 4 inches\n* Total length in inches: $300 \\times 4 = 1200$ inches\n* Convert to feet (12 inches = 1 foot): $1200 / 12 = 100$ feet\n\n**2. Calculate the length of the chocolate croissants:**\n* Number of croissants: 120\n* Length of each croissant: 6 inches\n* Total length in inches: $120 \\times 6 = 720$ inches\n* Convert to feet: $720 / 12 = 60$ feet\n\n**3. Calculate the length of the baguettes:**\n* Number of baguettes: 60\n* Length of each baguette: 2 feet\n* Total length in feet: $60 \\times 2 = 120$ feet\n\n**4. Calculate the total length:**\n* Total length = Length of rolls + Length of croissants + Length of baguettes\n* Total length = $100\\text{ feet} + 60\\text{ feet} + 120\\text{ feet} = 280$ feet\n\nAnswer: 280", "usage": {"completion_tokens": 328, "prompt_tokens": 97, "total_tokens": 425, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306939.184, "t1": 1793307012.063, "s": 72.88} +{"seq": 106, "idx": 154, "ok": true, "gold": "272", "reply": "To find the total number of hours Kimo spends attending classes in one semester, we calculate the hours per week and then multiply by the number of weeks.\n\n**1. Calculate hours spent on Mondays, Wednesdays, and Fridays:**\nKimo has three 1-hour classes each day.\nHours per day = $3 \\times 1 = 3$ hours.\nThere are 3 such days (Monday, Wednesday, Friday).\nTotal hours for these days per week = $3 \\text{ days} \\times 3 \\text{ hours/day} = 9$ hours.\n\n**2. Calculate hours spent on Tuesdays and Thursdays:**\nKimo has two 2-hour classes each day.\nHours per day = $2 \\times 2 = 4$ hours.\nThere are 2 such days (Tuesday, Thursday).\nTotal hours for these days per week = $2 \\text{ days} \\times 4 \\text{ hours/day} = 8$ hours.\n\n**3. Calculate total hours per week:**\nTotal hours per week = $9 \\text{ hours (M/W/F)} + 8 \\text{ hours (T/Th)} = 17$ hours.\n\n**4. Calculate total hours for the semester:**\nThe semester lasts 16 weeks.\nTotal hours = $17 \\text{ hours/week} \\times 16 \\text{ weeks}$.\n\nTo calculate $17 \\times 16$:\n$17 \\times 10 = 170$\n$17 \\times 6 = 102$\n$170 + 102 = 272$\n\nAlternatively:\n$16 \\times 16 = 256$\n$256 + 16 = 272$\n\nAnswer: 272", "usage": {"completion_tokens": 400, "prompt_tokens": 98, "total_tokens": 498, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306934.183, "t1": 1793307012.822, "s": 78.64} +{"seq": 107, "idx": 153, "ok": true, "gold": "48", "reply": "To find the total number of french fries in the pack, we will work backward from the final amount left.\n\n1. **The final amount left:**\n After the ants carried off one fry, there were **5** fries left.\n\n2. **Before the ants:**\n The ants carried off 1 fry.\n $5 + 1 = 6$ fries.\n\n3. **Before the raccoon:**\n The raccoon stole two-thirds of the remaining fries, leaving 6 fries.\n If the raccoon took $\\frac{2}{3}$, then the 6 fries represent the remaining $\\frac{1}{3}$ of the fries present before the raccoon arrived.\n Let $x$ be the amount before the raccoon: $\\frac{1}{3}x = 6 \\implies x = 18$ fries.\n\n4. **Before the pigeons:**\n Three pigeons each ate 3 fries.\n Total eaten by pigeons: $3 \\times 3 = 9$ fries.\n Amount before pigeons: $18 + 9 = 27$ fries.\n\n5. **Before the seagull:**\n The seagull ate half the amount that Dave ate.\n Dave ate 14 fries.\n Seagull ate: $\\frac{1}{2} \\times 14 = 7$ fries.\n Amount before the seagull: $27 + 7 = 34$ fries.\n\n6. **Before Dave ate his portion:**\n Dave ate 14 fries.\n Total amount in the pack: $34 + 14 = 48$ fries.\n\n**Verification:**\n- Start with 48.\n- Dave eats 14: $48 - 14 = 34$.\n- Seagull eats half of 14 (7): $34 - 7 = 27$.\n- 3 pigeons eat 3 each (9): $27 - 9 = 18$.\n- Raccoon takes 2/3 of 18 (12): $18 - 12 = 6$.\n- Ants take 1: $6 - 1 = 5$.\n- 5 left. (Correct)\n\nAnswer: 48", "usage": {"completion_tokens": 496, "prompt_tokens": 128, "total_tokens": 624, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306933.182, "t1": 1793307018.164, "s": 84.98} +{"seq": 108, "idx": 158, "ok": false, "gold": "34", "reply": "To find the total amount Raphael spent, we need to calculate the cost of each item and then add them together.\n\n1. **Calculate the cost of the pens:**\n Raphael bought 4 pens at $1.5 each.\n $4 \\times 1.5 = 6$\n So, the pens cost **$6**.\n\n2. **Calculate the cost of the notebooks:**\n Raphael bought 2 notebooks at $4 each.\n $2 \\times 4 = 8$\n So, the notebooks cost **$8**.\n\n3. **Identify the cost of the bond paper:**\n The rim of bond paper cost **$20**.\n\n4. **Calculate the total amount spent:**\n Add the costs of the pens, notebooks, and bond paper together:\n $6 + 8 + 20 = 24$\n\nRaphael spent a total of $24.\n\nAnswer: 24", "usage": {"completion_tokens": 210, "prompt_tokens": 80, "total_tokens": 290, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306957.19, "t1": 1793307024.864, "s": 67.67} +{"seq": 109, "idx": 160, "ok": true, "gold": "16", "reply": "To find the water depth on Wednesday, we follow the changes day by day:\n\n1. **Monday:** The depth of the water is **17 feet**.\n2. **Tuesday:** The tank had 7 feet more water than on Monday.\n $$\\text{Tuesday's depth} = 17\\text{ feet} + 7\\text{ feet} = 24\\text{ feet}$$\n3. **Wednesday:** The depth is two-thirds of what it was on Tuesday.\n $$\\text{Wednesday's depth} = \\frac{2}{3} \\times 24\\text{ feet}$$\n $$\\text{Wednesday's depth} = 2 \\times \\frac{24}{3}$$\n $$\\text{Wednesday's depth} = 2 \\times 8 = 16\\text{ feet}$$\n\nThe tank's water depth on Wednesday is 16 feet.\n\nAnswer: 16", "usage": {"completion_tokens": 208, "prompt_tokens": 85, "total_tokens": 293, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306959.191, "t1": 1793307030.465, "s": 71.27} +{"seq": 110, "idx": 157, "ok": true, "gold": "80", "reply": "To find out how much farther the winner runs than the loser, we need to calculate the total distance covered by both Blake and Kelly.\n\n**1. Calculate Blake's distance:**\nBlake runs back and forth on a 100-yard field 15 times.\nOne \"back and forth\" trip means running the length of the field twice (100 yards there and 100 yards back).\nDistance per trip = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\nTotal distance for Blake = $15 \\text{ trips} \\times 200 \\text{ yards/trip} = 3000 \\text{ yards}$.\n\n**2. Calculate Kelly's distance:**\nKelly's run consists of two parts:\n- Part 1: She runs back and forth once on the 100-yard field.\n Distance = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\n- Part 2: She runs to the 40-yard line and back, repeating this 34 times.\n One trip to the 40-yard line and back = $40 \\text{ yards} \\times 2 = 80 \\text{ yards}$.\n Distance for 34 trips = $34 \\times 80 \\text{ yards} = 2720 \\text{ yards}$.\n\nTotal distance for Kelly = $200 \\text{ yards} + 2720 \\text{ yards} = 2920 \\text{ yards}$.\n\n**3. Compare the distances:**\nBlake's distance = 3000 yards.\nKelly's distance = 2920 yards.\nBlake is the winner.\n\n**4. Calculate the difference:**\nDifference = $3000 \\text{ yards} - 2920 \\text{ yards} = 80 \\text{ yards}$.\n\nAnswer: 80", "usage": {"completion_tokens": 442, "prompt_tokens": 134, "total_tokens": 576, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306944.687, "t1": 1793307035.625, "s": 90.94} +{"seq": 111, "idx": 161, "ok": true, "gold": "32", "reply": "To find the total number of fish caught by Anakin and Locsin, we first calculate the number of each type of sea creature caught by each person.\n\n**1. Anakin's catches:**\n* Starfish: 10\n* Sea horses: 6\n* Clownfish: 3\n* **Total for Anakin** = $10 + 6 + 3 = 19$\n\n**2. Locsin's catches:**\n* Starfish: Anakin caught 10, and Locsin caught 5 fewer.\n $10 - 5 = 5$ starfish\n* Sea horses: Anakin caught 6, and Locsin caught 3 fewer.\n $6 - 3 = 3$ sea horses\n* Clownfish: Anakin caught 3, and Locsin caught 2 more.\n $3 + 2 = 5$ clownfish\n* **Total for Locsin** = $5 + 3 + 5 = 13$\n\n**3. Total catches combined:**\nTo find the total number of fish (sea creatures) caught by both, we add Anakin's total and Locsin's total:\n$19 + 13 = 32$\n\nAlternatively, we can sum all individual categories:\nTotal Starfish: $10 + 5 = 15$\nTotal Sea horses: $6 + 3 = 9$\nTotal Clownfish: $3 + 5 = 8$\nTotal = $15 + 9 + 8 = 32$\n\nAnswer: 32", "usage": {"completion_tokens": 347, "prompt_tokens": 95, "total_tokens": 442, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306960.192, "t1": 1793307045.144, "s": 84.95} +{"seq": 112, "idx": 162, "ok": true, "gold": "92", "reply": "To find the cost of the bag of marbles after 36 months, we follow these steps:\n\n1. **Identify the initial cost and the rate of increase:**\n * Initial cost ($P$) = $20\n * Increase amount = 20% of the original price = $0.20 \\times 20 = \\$4$\n * The price increases by $4 every two months.\n\n2. **Determine the number of increase periods:**\n * Total time = 36 months\n * Frequency of increase = every 2 months\n * Number of periods ($n$) = $36 / 2 = 18$ periods.\n\n3. **Calculate the total increase over the 36 months:**\n * Since the increase is based on the **original price** (simple increase, not compound), we multiply the amount of increase per period by the number of periods.\n * Total increase = $18 \\times \\$4 = \\$72$\n\n4. **Calculate the final cost:**\n * Final cost = Initial cost + Total increase\n * Final cost = $\\$20 + \\$72 = \\$92$\n\n**Alternative calculation method:**\n* Increase per period = $20 \\times 0.20 = 4$\n* Total periods = $36 / 2 = 18$\n* Final Price = $20 + (18 \\times 4) = 20 + 72 = 92$\n\nAnswer: 92", "usage": {"completion_tokens": 345, "prompt_tokens": 69, "total_tokens": 414, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306972.195, "t1": 1793307050.721, "s": 78.53} +{"seq": 113, "idx": 163, "ok": true, "gold": "50", "reply": "To find the total value of all the toys, we need to calculate the cost of each type of toy and then sum them up.\n\n**1. Identify the cost of each individual toy:**\n* **Action figure:** The problem states an action figure costs **$5**.\n* **Red car:** The problem states one red car costs **$4**.\n* **Doll:** The problem states the doll costs as much as 3 action figures.\n * Cost of doll = $3 \\times \\$5 = \\$15$.\n\n**2. Calculate the total cost for each group of toys:**\n* **Red cars:** There are 5 red cars.\n * Total cost for cars = $5 \\times \\$4 = \\$20$.\n* **Action figures:** There are 3 action figures.\n * Total cost for action figures = $3 \\times \\$5 = \\$15$.\n* **Doll:** There is 1 doll.\n * Total cost for the doll = $1 \\times \\$15 = \\$15$.\n\n**3. Calculate the total value of all toys:**\n* Total value = (Cost of cars) + (Cost of action figures) + (Cost of doll)\n* Total value = $\\$20 + \\$15 + \\$15 = \\$50$.\n\nAnswer: 50", "usage": {"completion_tokens": 296, "prompt_tokens": 85, "total_tokens": 381, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306972.695, "t1": 1793307053.422, "s": 80.73} +{"seq": 114, "idx": 164, "ok": true, "gold": "15", "reply": "To find out how much more money Jackie will have if she hires the accountant, we need to compare the two scenarios: doing the taxes herself versus hiring an accountant.\n\n**Scenario 1: Doing the taxes herself**\nIn this scenario, Jackie saves the cost of the accountant, but she loses income from freelance work.\n- Cost of accountant: $0\n- Lost freelance income: 3 hours $\\times$ $35/hour = $105\n- Net impact compared to a baseline: -$105\n\n**Scenario 2: Hiring an accountant**\nIn this scenario, Jackie pays the accountant, but she does not lose any freelance work.\n- Cost of accountant: $90\n- Lost freelance income: $0\n- Net impact compared to a baseline: -$90\n\n**Comparison:**\nWe want to find the difference between the two scenarios (how much more she has in Scenario 2 than Scenario 1).\n\nDifference = (Net impact of Scenario 2) - (Net impact of Scenario 1)\nDifference = (-$90) - (-$105)\nDifference = -$90 + $105\nDifference = $15\n\nAlternatively, we can look at the \"extra\" costs/savings:\nBy hiring the accountant, she spends $90, but she gains $105 in freelance work that she would have otherwise missed.\n$105 (gained income) - $90 (cost of accountant) = $15.\n\nAnswer: 15", "usage": {"completion_tokens": 323, "prompt_tokens": 97, "total_tokens": 420, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306976.197, "t1": 1793307064.836, "s": 88.64} +{"seq": 115, "idx": 166, "ok": true, "gold": "5", "reply": "To find out how many times Sandra has to babysit, we need to calculate the total number of eggs required and then determine how many baskets of eggs she needs to receive.\n\n1. **Calculate the total number of eggs needed:**\n Sandra needs to make 15 flans, and each flan requires 3 eggs.\n Total eggs = $15 \\text{ flans} \\times 3 \\text{ eggs/flan} = 45 \\text{ eggs}$.\n\n2. **Calculate the number of babysitting sessions required:**\n Each time Sandra babysits, she receives a basket of 9 eggs.\n Number of babysitting sessions = $\\text{Total eggs needed} \\div \\text{Eggs per basket}$\n Number of babysitting sessions = $45 \\div 9 = 5$.\n\nSandra needs to babysit 5 times to get the 45 eggs required for the flans.\n\nAnswer: 5", "usage": {"completion_tokens": 206, "prompt_tokens": 90, "total_tokens": 296, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306989.2, "t1": 1793307065.857, "s": 76.66} +{"seq": 116, "idx": 165, "ok": true, "gold": "77", "reply": "To find out how much money Elvira will have left for her clothing, we need to subtract the total cost of all the computer accessories from her total budget.\n\n**1. Calculate the total cost of the items:**\n* Computer machine (with screen, keyboard, and mouse): \u20ac1090\n* Scanner: \u20ac157\n* CD burner: \u20ac74\n* Printer: \u20ac102\n\nTotal Cost = \u20ac1090 + \u20ac157 + \u20ac74 + \u20ac102\n\nLet's add them step by step:\n$1090 + 157 = 1247$\n$1247 + 74 = 1321$\n$1321 + 102 = 1423$\n\nTotal Cost = \u20ac1423\n\n**2. Calculate the remaining money:**\n* Total Budget: \u20ac1500\n* Total Cost: \u20ac1423\n\nRemaining Money = Total Budget - Total Cost\nRemaining Money = \u20ac1500 - \u20ac1423\n\nLet's subtract:\n$1500 - 1423 = 77$\n\nElvira will have \u20ac77 left for her clothing.\n\nAnswer: 77", "usage": {"completion_tokens": 283, "prompt_tokens": 145, "total_tokens": 428, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306988.2, "t1": 1793307068.315, "s": 80.12} +{"seq": 117, "idx": 168, "ok": true, "gold": "18", "reply": "To find out how much money Jimmy has, we can follow these steps:\n\n1. **Identify Ethel's money:** The problem states that Ethel has $8.\n2. **Identify the relationship:** Jimmy has \"$2 more than twice the money Ethel has.\"\n3. **Set up the calculation:**\n * First, find \"twice the money Ethel has\": $2 \\times \\$8 = \\$16$.\n * Next, add \"$2 more\" to that amount: $\\$16 + \\$2 = \\$18$.\n\nJimmy has $18.\n\nAnswer: 18", "usage": {"completion_tokens": 131, "prompt_tokens": 55, "total_tokens": 186, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306997.203, "t1": 1793307073.912, "s": 76.71} +{"seq": 118, "idx": 159, "ok": false, "gold": "15", "reply": "To find out how many tadpoles Finn can see in the pond now, we need to track the number of tadpoles that are visible at each step.\n\n1. **Initial state:** Finn is watching 11 tadpoles. However, the problem implies these are the tadpoles in the pond, but it doesn't explicitly state they are all visible. Let's look at the sequence of events to determine the \"visible\" count.\n2. **First event:** 6 tadpoles come out of hiding. This means these 6 are now visible.\n3. **Second event:** 2 tadpoles hide under a rock. This means 2 tadpoles that were previously visible are now hidden.\n\nWait, let's re-read carefully: \"Finn watches 11 tadpoles swimming in the pond.\" This implies all 11 are currently visible.\n- **Step 1:** Finn sees 6 of them come out of hiding. This phrasing is slightly ambiguous. If he was already watching 11, and then 6 *more* come out of hiding, the total would change. However, usually, in these word problems, the \"11 tadpoles\" refers to the total population in the pond.\n- **Let's re-evaluate based on visibility:**\n - If the 11 tadpoles are the total population:\n - Initially, we don't know how many are visible, but the problem says he \"watches 11 tadpoles swimming,\" which implies he sees 11.\n - \"Suddenly he sees 6 of them come out of hiding\": This implies that 6 tadpoles that were *not* visible are now visible. But if he was already watching 11, this would mean there are more than 11 tadpoles.\n - **Alternative interpretation:** The 11 tadpoles are the total. Some are visible, some are hiding.\n - If he \"watches 11 tadpoles swimming\", he sees 11.\n - If 6 \"come out of hiding\", they were not part of the 11 he was watching. This would mean there are $11 + 6 = 17$ tadpoles.\n - If 2 \"hide under a rock\", the number of visible tadpoles decreases by 2.\n\n**Let's try the most logical interpretation for a math word problem:**\nThe \"11 tadpoles\" are the ones he is currently watching (the visible ones).\n1. **Start:** 11 visible tadpoles.\n2. **Event 1:** 6 more come out of hiding.\n Visible = $11 + 6 = 17$.\n3. **Event 2:** 2 hide under a rock.\n Visible = $17 - 2 = 15$.\n\n**Let's try a second interpretation:**\nThe \"11 tadpoles\" is the total number of tadpoles in the pond.\n1. **Start:** Some are visible, some are hiding. The problem says he \"watches 11 tadpoles swimming\", which implies all 11 are visible.\n2. **Event 1:** 6 of them come out of hiding. This is a contradiction if he is already watching 11.\n3. **Wait, let's look at the wording again:** \"Finn watches 11 tadpoles swimming... Suddenly he sees 6 of them come out of hiding\". This most likely means that out of the 11, 6 were hiding and now they are visible? No, that doesn't make sense.\n\n**Let's try a third interpretation (The \"Total\" interpretation):**\nTotal tadpoles = 11.\nInitially, he is watching some. Then 6 come out of hiding. This implies the 6 were part of the 11 but were not being \"watched\" (perhaps they were under the lily pad).\nIf he was watching 11, and then 6 *more* come out, he sees $11 + 6 = 17$.\nIf 2 of the visible ones hide, he sees $17 - 2 = 15$.\n\n**Let's try a fourth interpretation (The \"Subtraction\" interpretation):**\nMaybe the 11 is the total, and the 6 coming out of hiding is just a description of the 11? No.\nLet's look at the numbers: 11, 6, 2.\nIf he sees 6 come out, and 2 hide:\nIf he started with 11 visible: $11 + 6 - 2 = 15$.\nIf the 6 were part of the 11: $11 + 6$ is impossible.\nIf the", "usage": {"completion_tokens": 1024, "prompt_tokens": 84, "total_tokens": 1108, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306958.19, "t1": 1793307074.492, "s": 116.3} +{"seq": 119, "idx": 169, "ok": true, "gold": "120", "reply": "To find the total number of miles Pancho walks in a week, we need to calculate his walking distance for weekdays and weekends separately.\n\n1. **Identify the number of weekdays and weekend days in a week:**\n * Weekdays (Monday through Friday): 5 days\n * Weekend days (Saturday and Sunday): 2 days\n\n2. **Calculate the distance walked on weekdays:**\n * Pancho walks 20 miles per weekday.\n * 5 days \u00d7 20 miles/day = 100 miles.\n\n3. **Calculate the distance walked on weekends:**\n * Pancho walks 10 miles per weekend day.\n * 2 days \u00d7 10 miles/day = 20 miles.\n\n4. **Calculate the total distance for the week:**\n * 100 miles (weekdays) + 20 miles (weekends) = 120 miles.\n\nAnswer: 120", "usage": {"completion_tokens": 213, "prompt_tokens": 60, "total_tokens": 273, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307009.206, "t1": 1793307081.243, "s": 72.04} +{"seq": 120, "idx": 167, "ok": true, "gold": "16", "reply": "To find Seth's age, we can set up a system of equations based on the information provided.\n\n**1. Define the variables:**\nLet $S$ be Seth's current age.\nLet $B$ be Brooke's current age.\n\n**2. Set up the equations based on the problem statement:**\n* \"Seth is twice as old as Brooke\":\n $S = 2B$ (Equation 1)\n* \"In 2 years, the sum of their ages will be 28\":\n In 2 years, Seth's age will be $(S + 2)$ and Brooke's age will be $(B + 2)$.\n $(S + 2) + (B + 2) = 28$ (Equation 2)\n\n**3. Solve the system of equations:**\nFirst, simplify Equation 2:\n$S + B + 4 = 28$\n$S + B = 24$\n\nNow, substitute Equation 1 ($S = 2B$) into the simplified Equation 2:\n$2B + B = 24$\n$3B = 24$\n$B = 8$\n\nNow that we know Brooke's age ($B = 8$), we can find Seth's age using Equation 1:\n$S = 2B$\n$S = 2(8)$\n$S = 16$\n\n**4. Verify the answer:**\nIf Seth is 16 and Brooke is 8:\n* Seth is twice as old as Brooke ($16 = 2 \\times 8$). Correct.\n* In 2 years, Seth will be 18 and Brooke will be 10.\n* The sum of their ages in 2 years: $18 + 10 = 28$. Correct.\n\nAnswer: 16", "usage": {"completion_tokens": 412, "prompt_tokens": 58, "total_tokens": 470, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793306993.202, "t1": 1793307089.547, "s": 96.34} +{"seq": 121, "idx": 171, "ok": true, "gold": "1210", "reply": "To find the total number of legs Jake sees, we need to calculate the number of legs for each group of creatures and then sum them up.\n\n1. **Spiders:**\n Jake sees 80 spiders, and each spider has 8 legs.\n $80 \\times 8 = 640$ legs.\n\n2. **Insects:**\n Jake sees 90 insects, and each insect has 6 legs.\n $90 \\times 6 = 540$ legs.\n\n3. **Mutant Invertebrates:**\n Jake sees 3 mutant invertebrates, and each has 10 legs.\n $3 \\times 10 = 30$ legs.\n\n4. **Total Legs:**\n Now, add the legs from all three groups together:\n $640 + 540 + 30$\n\n First, add 640 and 540:\n $640 + 540 = 1180$\n\n Then, add 30 to that sum:\n $1180 + 30 = 1210$\n\nJake sees a total of 1210 legs.\n\nAnswer: 1210", "usage": {"completion_tokens": 279, "prompt_tokens": 81, "total_tokens": 360, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307013.207, "t1": 1793307090.848, "s": 77.64} +{"seq": 122, "idx": 170, "ok": true, "gold": "150", "reply": "To find the total cost of each uniform, we need to calculate the cost of each individual item: the hat, the jacket, and the pants.\n\n1. **Cost of the hat:**\n The problem states the hat costs $25.\n $\\text{Hat} = \\$25$\n\n2. **Cost of the jacket:**\n The jacket costs three times as much as the hat.\n $\\text{Jacket} = 3 \\times \\$25 = \\$75$\n\n3. **Cost of the pants:**\n The pants cost the average of the costs of the hat and the jacket.\n $\\text{Pants} = \\frac{\\text{Hat} + \\text{Jacket}}{2}$\n $\\text{Pants} = \\frac{\\$25 + \\$75}{2} = \\frac{\\$100}{2} = \\$50$\n\n4. **Total cost of the uniform:**\n The total cost is the sum of the hat, the jacket, and the pants.\n $\\text{Total} = \\text{Hat} + \\text{Jacket} + \\text{Pants}$\n $\\text{Total} = \\$25 + \\$75 + \\$50$\n $\\text{Total} = \\$150$\n\nAnswer: 150", "usage": {"completion_tokens": 294, "prompt_tokens": 84, "total_tokens": 378, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307012.207, "t1": 1793307091.9, "s": 79.69} +{"seq": 123, "idx": 172, "ok": true, "gold": "51", "reply": "To find the total age of the four birds, we need to determine the age of each bird based on the information provided.\n\n1. **Sally Thirtytwo**: The problem states that Sally Thirtytwo is 8 years old.\n * Sally Thirtytwo = 8\n\n2. **Sally Four**: The problem states that Sally Four is the same age as Sally Thirtytwo.\n * Sally Four = 8\n\n3. **Granny Red**: The problem states that Granny Red is two times as old as Sally Four.\n * Granny Red = 2 * 8 = 16\n\n4. **Sally Two**: The problem states that Sally Two is three years older than Granny Red.\n * Sally Two = 16 + 3 = 19\n\nNow, we calculate the total age of the four birds by adding their ages together:\nTotal Age = Sally Two + Granny Red + Sally Four + Sally Thirtytwo\nTotal Age = 19 + 16 + 8 + 8\n\nCalculation:\n19 + 16 = 35\n35 + 8 = 43\n43 + 8 = 51\n\nThe total age of the four birds is 51.\n\nAnswer: 51", "usage": {"completion_tokens": 274, "prompt_tokens": 92, "total_tokens": 366, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307018.209, "t1": 1793307097.568, "s": 79.36} +{"seq": 124, "idx": 174, "ok": true, "gold": "95", "reply": "To find out how long it will take Billy to prep the potatoes, we need to calculate the total time spent per potato and then multiply that by the total number of potatoes.\n\n**1. Calculate the time spent on one potato:**\n* **Peeling time:** 1 minute and 30 seconds (since 1.5 minutes = 90 seconds).\n* **Cutting time:** 5 seconds.\n* **Total time per potato:** 90 seconds + 5 seconds = 95 seconds.\n\n**2. Calculate the total time for 60 potatoes:**\n* **Total time in seconds:** $60 \\text{ potatoes} \\times 95 \\text{ seconds/potato} = 5,700 \\text{ seconds}$.\n\n**3. Convert the total time into minutes:**\n* To convert seconds to minutes, divide by 60:\n $5,700 \\div 60 = 95 \\text{ minutes}$.\n\n**4. Convert the total time into hours and minutes (optional, but helpful for clarity):**\n* 95 minutes is equal to 1 hour and 35 minutes.\n\nBilly will take 95 minutes to finish prepping the potatoes.\n\nAnswer: 95", "usage": {"completion_tokens": 273, "prompt_tokens": 127, "total_tokens": 400, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307030.712, "t1": 1793307106.456, "s": 75.74} +{"seq": 125, "idx": 175, "ok": true, "gold": "15", "reply": "To find out how much they spent on lemons, we first need to determine how many gallons of lemonade they made.\n\n**1. Calculate the cost and revenue per gallon:**\n* **Cost per gallon:**\n * Lemons: $3\n * Sugar: $2\n * Total cost per gallon = $3 + $2 = $5\n* **Revenue per gallon:**\n * They sell 20 glasses per gallon.\n * Each glass costs $0.50.\n * Total revenue per gallon = 20 * $0.50 = $10\n\n**2. Calculate the profit per gallon:**\n* Profit = Revenue - Cost\n* Profit per gallon = $10 - $5 = $5\n\n**3. Determine the number of gallons made:**\n* Total profit = $25\n* Profit per gallon = $5\n* Number of gallons = Total profit / Profit per gallon\n* Number of gallons = $25 / $5 = 5 gallons\n\n**4. Calculate the total amount spent on lemons:**\n* Cost of lemons per gallon = $3\n* Total gallons made = 5\n* Total spent on lemons = 5 gallons * $3/gallon = $15\n\nAnswer: 15", "usage": {"completion_tokens": 285, "prompt_tokens": 91, "total_tokens": 376, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307035.714, "t1": 1793307108.126, "s": 72.41} +{"seq": 126, "idx": 176, "ok": true, "gold": "100", "reply": "To find the number of girls on the Chinese team, we follow these steps:\n\n1. **Find the total number of Chinese participants:**\n The total number of Asians is 240.\n The number of Japanese participants is 80.\n The rest are Chinese, so:\n Total Chinese = Total Asians - Japanese\n Total Chinese = 240 - 80 = 160\n\n2. **Find the number of girls on the Chinese team:**\n We know the total number of Chinese participants is 160.\n The number of boys on the Chinese team is 60.\n The rest of the Chinese team are girls, so:\n Total Chinese Girls = Total Chinese - Chinese Boys\n Total Chinese Girls = 160 - 60 = 100\n\nAnswer: 100", "usage": {"completion_tokens": 187, "prompt_tokens": 74, "total_tokens": 261, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307045.216, "t1": 1793307108.598, "s": 63.38} +{"seq": 127, "idx": 173, "ok": true, "gold": "18000", "reply": "To find out how much Jessica pays in a year, we first calculate her total monthly minimum payments and then determine her increased monthly payment.\n\n1. **Calculate the total monthly minimum payment:**\n * Student loans: $300\n * Credit card: $200\n * Mortgage: $500\n * Total minimum monthly payment = $300 + $200 + $500 = $1,000\n\n2. **Calculate the increased monthly payment (50% more than the minimum):**\n * An increase of 50% means she pays 150% of the minimum.\n * Increased monthly payment = $1,000 + (50% of $1,000)\n * Increased monthly payment = $1,000 + $500 = $1,500\n\n3. **Calculate the total annual payment:**\n * Since there are 12 months in a year:\n * Annual payment = $1,500 * 12\n * $1,500 * 10 = $15,000\n * $1,500 * 2 = $3,000\n * $15,000 + $3,000 = $18,000\n\nAnswer: 18000", "usage": {"completion_tokens": 319, "prompt_tokens": 112, "total_tokens": 431, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307025.211, "t1": 1793307109.074, "s": 83.86} +{"seq": 128, "idx": 179, "ok": true, "gold": "130", "reply": "To find out how much Lloyd earned for the first two weeks, we can follow these steps:\n\n1. **Calculate the total number of hours tutored:**\n * Hours in the first week: 5 hours\n * Hours in the second week: 8 hours\n * Total hours = 5 + 8 = 13 hours\n\n2. **Calculate the total earnings:**\n * Hourly rate: $10 per hour\n * Total earnings = Total hours \u00d7 Hourly rate\n * Total earnings = 13 hours \u00d7 $10/hour = $130\n\nAlternatively, you can calculate the earnings for each week separately and then add them:\n* Earnings for the first week: 5 hours \u00d7 $10 = $50\n* Earnings for the second week: 8 hours \u00d7 $10 = $80\n* Total earnings = $50 + $80 = $130\n\nAnswer: 130", "usage": {"completion_tokens": 215, "prompt_tokens": 71, "total_tokens": 286, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307065.222, "t1": 1793307120.634, "s": 55.41} +{"seq": 129, "idx": 178, "ok": true, "gold": "122", "reply": "To find the total number of crabs, we need to determine how many crabs each person has.\n\n1. **Bo's crabs:** The problem states that Bo has **40** crabs.\n2. **Monic's crabs:** Monic has 4 fewer crabs than Bo.\n Monic = Bo - 4\n Monic = 40 - 4 = **36** crabs.\n3. **Rani's crabs:** Rani has ten more crabs than Monic.\n Rani = Monic + 10\n Rani = 36 + 10 = **46** crabs.\n\n4. **Total crabs:** To find the total, add the crabs of all three people together:\n Total = Bo + Monic + Rani\n Total = 40 + 36 + 46\n\n Calculation:\n 40 + 36 = 76\n 76 + 46 = 122\n\nThe total number of crabs the three have together is 122.\n\nAnswer: 122", "usage": {"completion_tokens": 239, "prompt_tokens": 67, "total_tokens": 306, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307053.719, "t1": 1793307122.175, "s": 68.46} +{"seq": 130, "idx": 180, "ok": true, "gold": "20", "reply": "To find the number of votes the loser received, we can follow these steps:\n\n1. **Identify the total number of votes:** The total number of students who voted is 80.\n2. **Calculate the number of votes the winner received:** The winner received $\\frac{3}{4}$ of the total votes.\n $$\\text{Winner's votes} = \\frac{3}{4} \\times 80$$\n $$\\text{Winner's votes} = 3 \\times 20 = 60$$\n3. **Calculate the number of votes the loser received:** Since there were only two candidates, the loser's votes are the total votes minus the winner's votes.\n $$\\text{Loser's votes} = \\text{Total votes} - \\text{Winner's votes}$$\n $$\\text{Loser's votes} = 80 - 60 = 20$$\n\n**Alternative Method:**\nIf the winner got $\\frac{3}{4}$ of the votes, the loser must have received the remaining fraction of the votes:\n$$1 - \\frac{3}{4} = \\frac{1}{4}$$\nNow, calculate $\\frac{1}{4}$ of the total votes:\n$$\\text{Loser's votes} = \\frac{1}{4} \\times 80 = 20$$\n\nAnswer: 20", "usage": {"completion_tokens": 307, "prompt_tokens": 79, "total_tokens": 386, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307066.223, "t1": 1793307126.5, "s": 60.28} +{"seq": 131, "idx": 177, "ok": true, "gold": "350", "reply": "To find out how much money Zaid has left, we need to calculate each expense step-by-step based on his monthly salary of $6000.\n\n1. **Calculate Rent:**\n Zaid spends $\\frac{1}{4}$ of his salary on rent.\n $\\text{Rent} = \\frac{1}{4} \\times 6000 = 1500$\n\n2. **Calculate Car Fuel:**\n Zaid spends $\\frac{1}{3}$ of his salary on car fuel.\n $\\text{Car Fuel} = \\frac{1}{3} \\times 6000 = 2000$\n\n3. **Calculate the Remaining Amount after Rent and Fuel:**\n $\\text{Total spent on Rent and Fuel} = 1500 + 2000 = 3500$\n $\\text{Remaining Amount} = 6000 - 3500 = 2500$\n\n4. **Calculate Donation:**\n He donates half of the remaining amount to charity.\n $\\text{Donation} = \\frac{1}{2} \\times 2500 = 1250$\n\n5. **Calculate the Remaining Amount after Donation:**\n $\\text{Remaining Amount} = 2500 - 1250 = 1250$\n\n6. **Calculate Family Expenses:**\n He gives $200 to his daughter and $700 to his wife.\n $\\text{Total Family Expenses} = 200 + 700 = 900$\n\n7. **Calculate Final Remaining Amount:**\n Subtract the family expenses from the amount left after the donation.\n $\\text{Final Amount} = 1250 - 900 = 350$\n\nAnswer: 350", "usage": {"completion_tokens": 420, "prompt_tokens": 122, "total_tokens": 542, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307051.218, "t1": 1793307131.661, "s": 80.44} +{"seq": 132, "idx": 181, "ok": true, "gold": "160", "reply": "To find the number of red roses Fred must deliver, we need to determine the total number of red roses Sandra ordered based on the information provided.\n\n1. **Find the number of white carnations:**\n We are told that the number of pink calla lilies (200) is five times the number of white carnations.\n Let $C$ be the number of white carnations.\n $5 \\times C = 200$\n $C = 200 / 5$\n $C = 40$\n So, there are 40 white carnations.\n\n2. **Find the number of red roses:**\n We are told that Sandra ordered four times as many red roses as white carnations.\n Let $R$ be the number of red roses.\n $R = 4 \\times C$\n $R = 4 \\times 40$\n $R = 160$\n\nThe problem asks how many red roses Fred must deliver to complete the order. Since the order is \"incomplete\" and the goal is to deliver the missing red roses to fulfill the order, we calculate the total number of red roses required by the order.\n\nTotal red roses = 160.\n\nAnswer: 160", "usage": {"completion_tokens": 279, "prompt_tokens": 123, "total_tokens": 402, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307068.724, "t1": 1793307137.511, "s": 68.79} +{"seq": 133, "idx": 183, "ok": true, "gold": "2", "reply": "To find the difference in time between the two teams, we need to calculate the total time for each team.\n\n**Team 1 (Well-rounded team):**\nEach of the four members runs 400 meters in 55 seconds.\nTotal time for Team 1 = $55 + 55 + 55 + 55 = 55 \\times 4 = 220$ seconds.\n\n**Team 2 (Less well-rounded team):**\nThe first runner's time is 60 seconds. Each subsequent runner is 3 seconds faster (meaning their time is 3 seconds less) than the previous runner.\n- Runner 1: 60 seconds\n- Runner 2: $60 - 3 = 57$ seconds\n- Runner 3: $57 - 3 = 54$ seconds\n- Runner 4: $54 - 3 = 51$ seconds\n\nTotal time for Team 2 = $60 + 57 + 54 + 51$\nTo calculate this quickly: $60 + 57 + 54 + 51 = 222$ seconds.\n\n**Comparison:**\nTeam 1's total time is 220 seconds.\nTeam 2's total time is 222 seconds.\n\nTeam 1 is the faster team. To find by how many seconds they win, we subtract Team 1's time from Team 2's time:\n$222 - 220 = 2$ seconds.\n\nAnswer: 2", "usage": {"completion_tokens": 347, "prompt_tokens": 165, "total_tokens": 512, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307074.726, "t1": 1793307146.745, "s": 72.02} +{"seq": 134, "idx": 185, "ok": true, "gold": "30", "reply": "To find the total number of apples picked by Jenna and her mother, we follow these steps:\n\n1. **Identify the number of apples the mother picked:**\n The problem states that the mother picked 20 apples.\n\n2. **Calculate the number of apples Jenna picked:**\n Jenna picked half as many apples as her mother.\n $\\text{Jenna's apples} = \\frac{1}{2} \\times 20 = 10$ apples.\n\n3. **Calculate the total number of apples picked by both:**\n To find the total, add the mother's apples and Jenna's apples together.\n $\\text{Total apples} = \\text{Mother's apples} + \\text{Jenna's apples}$\n $\\text{Total apples} = 20 + 10 = 30$ apples.\n\nAnswer: 30", "usage": {"completion_tokens": 196, "prompt_tokens": 69, "total_tokens": 265, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307089.73, "t1": 1793307149.091, "s": 59.36} +{"seq": 135, "idx": 184, "ok": true, "gold": "25", "reply": "To find the difference in probability, we first calculate the probability of each event.\n\n**1. Probability of rolling a number greater than 3:**\nA six-sided die has the outcomes $\\{1, 2, 3, 4, 5, 6\\}$.\nThe numbers greater than 3 are $\\{4, 5, 6\\}$.\nThere are 3 favorable outcomes out of 6 possible outcomes.\n$P(\\text{greater than 3}) = \\frac{3}{6} = \\frac{1}{2} = 0.5$ (or $50\\%$).\n\n**2. Probability of rolling two even numbers in a row:**\nThe probability of rolling an even number in a single roll is $\\frac{3}{6} = \\frac{1}{2}$ (the even numbers are $\\{2, 4, 6\\}$).\nSince the rolls are independent, the probability of rolling two even numbers in a row is the product of the individual probabilities:\n$P(\\text{two even numbers}) = \\frac{1}{2} \\times \\frac{1}{2} = \\frac{1}{4} = 0.25$ (or $25\\%$).\n\n**3. Calculating the difference:**\nThe question asks how much more likely the first event is than the second, expressed as a percentage.\nDifference in probability = $P(\\text{greater than 3}) - P(\\text{two even numbers})$\nDifference = $0.5 - 0.25 = 0.25$.\n\nTo express this difference as a percentage of the total probability space (or simply the difference in percentage points):\n$0.25 = 25\\%$.\n\nAlternatively, if the question asks for the percentage increase relative to the second probability:\n$\\frac{0.5 - 0.25}{0.25} = \\frac{0.25}{0.25} = 1 = 100\\%$.\nHowever, in standard mathematical phrasing for \"how much more likely is X than Y\" in probability problems, it usually refers to the difference in percentage points or the ratio. Given the context of such problems, we calculate the difference in the probability values.\n\n$50\\% - 25\\% = 25\\%$.\n\nAnswer: 25%", "usage": {"completion_tokens": 501, "prompt_tokens": 70, "total_tokens": 571, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307081.728, "t1": 1793307160.704, "s": 78.98} +{"seq": 136, "idx": 186, "ok": true, "gold": "5", "reply": "To find the number of rats in each cage, we need to set up an equation based on the total amount of straw distributed.\n\n**1. Identify the components of the total straw distributed:**\n* **Rats:** There are 3 cages of rats. Let $x$ be the number of rats in each cage. Since each rat gets 6 pieces of straw, the total straw for rats is:\n $3 \\times x \\times 6 = 18x$\n* **Hamsters:** There are 10 cages of hamsters. The problem states they are \"kept alone,\" which implies there is 1 hamster per cage. Each hamster gets 5 pieces of straw.\n $10 \\times 1 \\times 5 = 50$\n* **Rabbits:** A pen of rabbits receives a total of 20 pieces of straw.\n Total for rabbits = $20$\n\n**2. Set up the equation:**\nThe total amount of straw distributed is 160 pieces.\n$\\text{Straw for rats} + \\text{Straw for hamsters} + \\text{Straw for rabbits} = 160$\n$18x + 50 + 20 = 160$\n\n**3. Solve for $x$:**\nCombine the constants:\n$18x + 70 = 160$\n\nSubtract 70 from both sides:\n$18x = 160 - 70$\n$18x = 90$\n\nDivide by 18:\n$x = \\frac{90}{18}$\n$x = 5$\n\n**4. Verify the result:**\n* Rats: 3 cages $\\times$ 5 rats/cage $\\times$ 6 straws/rat = 90 straws\n* Hamsters: 10 cages $\\times$ 1 hamster/cage $\\times$ 5 straws/hamster = 50 straws\n* Rabbits: 20 straws\n* Total: $90 + 50 + 20 = 160$ straws.\n\nThe calculation is correct.\n\nAnswer: 5", "usage": {"completion_tokens": 478, "prompt_tokens": 143, "total_tokens": 621, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307091.231, "t1": 1793307174.765, "s": 83.53} +{"seq": 137, "idx": 187, "ok": false, "gold": "106", "reply": "To find the total amount Mandy should give to Benedict, we need to calculate the amount owed after 3 months with a monthly interest rate of 2%.\n\nThere are two ways to interpret \"monthly interest\": **Simple Interest** or **Compound Interest**. In financial contexts involving monthly interest, compound interest is the standard practice.\n\n### Method 1: Compound Interest (Standard)\nThe formula for compound interest is:\n$A = P(1 + r)^n$\n\nWhere:\n* $P = 100$ (Principal amount)\n* $r = 0.02$ (Monthly interest rate)\n* $n = 3$ (Number of months)\n\n**Step-by-step calculation:**\n1. **Month 1:** $100 \\times 1.02 = 102$\n2. **Month 2:** $102 \\times 1.02 = 104.04$\n3. **Month 3:** $104.04 \\times 1.02 = 106.1208$\n\nRounding to the nearest cent, the amount is $106.12.\n\n### Method 2: Simple Interest\nIf the interest is calculated only on the original principal each month:\n$A = P + (P \\times r \\times n)$\n\n**Step-by-step calculation:**\n1. Interest per month: $100 \\times 0.02 = 2$\n2. Total interest for 3 months: $2 \\times 3 = 6$\n3. Total amount: $100 + 6 = 106$\n\nIn most mathematical word problems of this type, unless \"simple interest\" is specified, compound interest is the intended method. However, in basic arithmetic contexts, simple interest is often used. Let's look at the standard progression:\n$100 \\rightarrow 102 \\rightarrow 104.04 \\rightarrow 106.1208$\n\nGiven the context of a debt, the compound interest calculation is the mathematically accurate way to represent interest accruing on interest.\n\nAnswer: 106.12", "usage": {"completion_tokens": 485, "prompt_tokens": 68, "total_tokens": 553, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307092.231, "t1": 1793307177.587, "s": 85.36} +{"seq": 138, "idx": 188, "ok": true, "gold": "50", "reply": "To find the number of bags sold, we need to determine the total cost per bag and the profit per bag.\n\n1. **Calculate the total cost per bag:**\n * The purchase price per bag is $20.\n * The transportation cost per bag is $2.\n * Total cost per bag = Purchase price + Transportation cost\n * Total cost per bag = $20 + $2 = $22.\n\n2. **Calculate the profit per bag:**\n * The selling price per bag is $30.\n * Profit per bag = Selling price - Total cost per bag\n * Profit per bag = $30 - $22 = $8.\n\n3. **Calculate the total number of bags sold:**\n * The total profit made is $400.\n * Total profit = (Profit per bag) \u00d7 (Number of bags)\n * $400 = $8 \u00d7 (Number of bags)\n * Number of bags = $400 / $8\n * Number of bags = 50.\n\n**Verification:**\n* Cost of 50 bags: 50 * $22 = $1100\n* Revenue from 50 bags: 50 * $30 = $1500\n* Profit: $1500 - $1100 = $400.\n\nAnswer: 50", "usage": {"completion_tokens": 323, "prompt_tokens": 98, "total_tokens": 421, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307097.733, "t1": 1793307180.233, "s": 82.5} +{"seq": 139, "idx": 182, "ok": false, "gold": "23", "reply": "To solve the problem, let's define the variables for the ages of Jean and Mark.\n\nLet $J$ be Jean's current age.\nLet $M$ be Mark's current age.\n\nFrom the problem, we are given the following information:\n1. Jean is two years older than Mark:\n $J = M + 2$\n\n2. Two years ago, Mark was 5 years older than half of Jean's age at that time.\n Wait, let's re-read carefully: \"Two years ago Mark was 5 years older than half Jan's age.\" \n Usually, in these word problems, \"half Jan's age\" refers to Jan's age *at that time* (two years ago). Let's set up the equation based on their ages two years ago.\n\n Age of Mark two years ago: $M - 2$\n Age of Jean two years ago: $J - 2$\n\n The condition states:\n $(M - 2) = \\frac{1}{2}(J - 2) + 5$\n\n3. We are given that Jean is 30:\n $J = 30$\n\nNow, let's use the information to find Mark's age and verify the consistency, or simply solve for Jean's age if the question asks for it. \n\nWait, the question asks: \"If Jan is 30 how old is Jean?\"\nLooking at the text: \"Jean is two years older than Mark... If Jan is 30 how old is Jean?\"\nThere seems to be a typo in the prompt where \"Jan\" and \"Jean\" are used interchangeably. Let's assume \"Jan\" refers to \"Jean\".\n\nIf Jean is 30, then Jean's age is 30.\n\nHowever, let's check if the math is consistent with the other clues provided to ensure we aren't missing a trick.\nIf $J = 30$:\nFrom $J = M + 2$:\n$30 = M + 2 \\implies M = 28$.\n\nNow check the second condition: \"Two years ago Mark was 5 years older than half Jan's age.\"\nTwo years ago, Mark was $28 - 2 = 26$.\nTwo years ago, Jean was $30 - 2 = 28$.\nHalf of Jean's age two years ago is $28 / 2 = 14$.\nIs 26 equal to $14 + 5$?\n$26 = 19$ is False.\n\nLet's re-read the second condition again: \"Two years ago Mark was 5 years older than half Jan's age.\"\nPerhaps \"half Jan's age\" refers to Jean's **current** age?\nIf $J = 30$, half of Jean's current age is 15.\nTwo years ago, Mark was 26.\nIs $26 = 15 + 5$?\n$26 = 20$ is False.\n\nPerhaps \"Jan\" in \"half Jan's age\" refers to Mark? No, that doesn't make sense.\nLet's re-evaluate the equation: $(M - 2) = \\frac{1}{2}(J) + 5$ (using current age for Jean).\nIf $J = 30$, then $M = 28$.\n$28 - 2 = \\frac{1}{2}(30) + 5$\n$26 = 15 + 5$\n$26 = 20$ (False).\n\nLet's try the equation: $(M - 2) = \\frac{1}{2}(J - 2) + 5$ again.\nIf $M = 28$ and $J = 30$:\n$26 = 14 + 5 = 19$ (False).\n\nLet's look at the question again: \"If Jan is 30 how old is Jean?\"\nIf \"Jan\" and \"Jean\" are the same person, the answer is 30. \nIf \"Jan\" is a third person, we don't have enough information to solve for Jean.\nHowever, in most logic puzzles of this type, \"Jan\" is a typo for \"Jean\". \n\nIf the question is \"If Jean is 30, how old is Jean?\", the answer is 30.\nIf the question is \"If Mark is 30, how old is Jean?\", then:\n$M = 30$\n$J = M + 2 = 32$.\nCheck condition: Two years", "usage": {"completion_tokens": 1024, "prompt_tokens": 66, "total_tokens": 1090, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307074.225, "t1": 1793307182.973, "s": 108.75} +{"seq": 140, "idx": 190, "ok": true, "gold": "360", "reply": "To find the total number of peaches John collects, we need to calculate the total number of minutes he spends collecting and then multiply that by his collection rate.\n\n1. **Calculate the total number of minutes:**\n John collects peaches for 3 hours.\n Since there are 60 minutes in 1 hour:\n $3 \\text{ hours} \\times 60 \\text{ minutes/hour} = 180 \\text{ minutes}$\n\n2. **Calculate the total number of peaches:**\n John collects 2 peaches per minute.\n $180 \\text{ minutes} \\times 2 \\text{ peaches/minute} = 360 \\text{ peaches}$\n\nAnswer: 360", "usage": {"completion_tokens": 160, "prompt_tokens": 55, "total_tokens": 215, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307108.236, "t1": 1793307187.529, "s": 79.29} +{"seq": 141, "idx": 191, "ok": true, "gold": "5", "reply": "To find out how many pounds of insects the flock of ten ducks needs per day, follow these steps:\n\n1. **Calculate the total amount of insects needed by the flock per week:**\n Each duck needs 3.5 pounds per week.\n For 10 ducks: $10 \\times 3.5 = 35$ pounds per week.\n\n2. **Calculate the amount of insects needed per day:**\n There are 7 days in a week. To find the daily amount, divide the weekly total by 7.\n $35 \\text{ pounds} \\div 7 \\text{ days} = 5$ pounds per day.\n\nAnswer: 5", "usage": {"completion_tokens": 150, "prompt_tokens": 66, "total_tokens": 216, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307108.737, "t1": 1793307189.773, "s": 81.04} +{"seq": 142, "idx": 189, "ok": true, "gold": "34", "reply": "To find out how much each friend paid, we need to calculate the total amount spent by the group and then divide that total by three.\n\n**1. Calculate the cost of the tickets:**\nThe problem states they spent **$20.25** on 3 tickets.\n\n**2. Calculate the cost of the food:**\nThey spent $4.50 less on food than on the tickets.\nCost of food = $20.25 - $4.50 = **$15.75**\n\n**3. Calculate the cost of the rides:**\nThey went on 2 different rides, and each ride cost $33.\nCost of rides = 2 \u00d7 $33 = **$66.00**\n\n**4. Calculate the total cost for the group:**\nTotal Cost = Cost of tickets + Cost of food + Cost of rides\nTotal Cost = $20.25 + $15.75 + $66.00\nTotal Cost = $36.00 + $66.00 = **$102.00**\n\n**5. Calculate how much each person paid:**\nSince there are three friends and they split the costs evenly:\nAmount per person = Total Cost / 3\nAmount per person = $102.00 / 3 = **$34.00**\n\nAnswer: 34.00", "usage": {"completion_tokens": 305, "prompt_tokens": 97, "total_tokens": 402, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307106.735, "t1": 1793307193.927, "s": 87.19} +{"seq": 143, "idx": 194, "ok": true, "gold": "10", "reply": "To find out how much change Violetta will get, follow these steps:\n\n1. **Calculate the total cost of the crayons:**\n Violetta needs 5 different colors, and each crayon costs $2.\n Total cost = Number of crayons \u00d7 Cost per crayon\n Total cost = 5 \u00d7 $2 = $10\n\n2. **Calculate the change:**\n Violetta prepared $20 for the purchase.\n Change = Amount prepared - Total cost\n Change = $20 - $10 = $10\n\nVioletta will get $10 in change.\n\nAnswer: 10", "usage": {"completion_tokens": 134, "prompt_tokens": 67, "total_tokens": 201, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307122.241, "t1": 1793307197.601, "s": 75.36} +{"seq": 144, "idx": 192, "ok": true, "gold": "91", "reply": "To find out how many trees Tom has left, we follow these steps:\n\n1. **Calculate the net growth of trees per year:**\n Tom plants 10 trees and chops down 2 trees each year.\n Net growth per year = $10 - 2 = 8$ trees.\n\n2. **Calculate the total number of trees after 10 years (before any die):**\n He starts with 50 trees.\n Over 10 years, the net growth is $8 \\text{ trees/year} \\times 10 \\text{ years} = 80$ trees.\n Total trees after 10 years = $50 (\\text{initial}) + 80 (\\text{growth}) = 130$ trees.\n\n3. **Calculate how many trees die:**\n 30% of the trees die.\n Number of trees that die = $130 \\times 0.30 = 39$ trees.\n\n4. **Calculate the remaining trees:**\n Remaining trees = Total trees - Trees that died\n Remaining trees = $130 - 39 = 91$ trees.\n\nAlternatively, if 30% die, 70% remain:\n$130 \\times 0.70 = 91$ trees.\n\nAnswer: 91", "usage": {"completion_tokens": 300, "prompt_tokens": 84, "total_tokens": 384, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307109.237, "t1": 1793307200.923, "s": 91.69} +{"seq": 145, "idx": 195, "ok": true, "gold": "12", "reply": "To find the total cost of 8 pens, we first need to determine the cost of a single pen.\n\n1. **Calculate the cost of one pen:**\n The problem states that a pen costs as much as a pencil and an eraser combined.\n Cost of a pencil = $1.20\n Cost of an eraser = $0.30\n Cost of one pen = $1.20 + $0.30 = $1.50\n\n2. **Calculate the cost of 8 pens:**\n Since one pen costs $1.50, we multiply the cost of one pen by 8.\n Total cost = 8 \u00d7 $1.50\n Total cost = $12.00\n\nAnswer: 12.00", "usage": {"completion_tokens": 171, "prompt_tokens": 67, "total_tokens": 238, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307126.742, "t1": 1793307204.101, "s": 77.36} +{"seq": 146, "idx": 196, "ok": true, "gold": "120", "reply": "To find out how many pounds of carrots will not be used, we follow these steps:\n\n1. **Calculate the total amount of carrots distributed:**\n There are 40 restaurants, and each restaurant receives 2 pounds of carrots.\n Total distributed = $40 \\text{ restaurants} \\times 2 \\text{ pounds/restaurant} = 80 \\text{ pounds}$.\n\n2. **Calculate the amount of carrots remaining:**\n The total amount of carrots available is 200 pounds.\n Remaining carrots = Total available - Total distributed\n Remaining carrots = $200 \\text{ pounds} - 80 \\text{ pounds} = 120 \\text{ pounds}$.\n\nAnswer: 120", "usage": {"completion_tokens": 161, "prompt_tokens": 70, "total_tokens": 231, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307131.744, "t1": 1793307207.366, "s": 75.62} +{"seq": 147, "idx": 193, "ok": true, "gold": "24", "reply": "To find out how many more pink plastic flamingos there were than white plastic flamingos, we will track the number of each color step-by-step.\n\n1. **Friday morning:**\n The neighbors place 18 pink flamingos in the yard.\n * Pink: 18\n * White: 0\n\n2. **Saturday morning:**\n The neighbors take back one third of the flamingos and paint them white.\n * One third of 18 is: $18 \\div 3 = 6$.\n * They take 6 pink flamingos, paint them white, and put them back.\n * Remaining pink flamingos: $18 - 6 = 12$.\n * New white flamingos: 6.\n * Current count: Pink = 12, White = 6.\n\n3. **Sunday morning:**\n The neighbors add another 18 pink plastic flamingos to the collection.\n * Pink flamingos: $12 + 18 = 30$.\n * White flamingos: 6 (remains the same).\n\n4. **At noon on Sunday:**\n We need to find how many more pink flamingos there are than white flamingos.\n * Difference = Pink - White\n * Difference = $30 - 6 = 24$.\n\nThere are 24 more pink plastic flamingos than white plastic flamingos.\n\nAnswer: 24", "usage": {"completion_tokens": 331, "prompt_tokens": 151, "total_tokens": 482, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307120.74, "t1": 1793307207.911, "s": 87.17} +{"seq": 148, "idx": 197, "ok": true, "gold": "6277", "reply": "To find the number of children in the city of Soda, we need to subtract the number of men and women from the total population.\n\n1. **Identify the total population:** 23,786\n2. **Identify the number of men:** 8,417\n3. **Identify the number of women:** 9,092\n4. **Calculate the total number of adults (men + women):**\n $8,417 + 9,092 = 17,509$\n5. **Subtract the total number of adults from the total population to find the number of children:**\n $23,786 - 17,509 = 6,277$\n\n**Step-by-step subtraction check:**\n 23,786\n- 17,509\n---------\n 6,277\n\nAlternatively:\nTotal population = Men + Women + Children\n23,786 = 8,417 + 9,092 + Children\n23,786 = 17,509 + Children\nChildren = 23,786 - 17,509 = 6,277\n\nAnswer: 6277", "usage": {"completion_tokens": 288, "prompt_tokens": 81, "total_tokens": 369, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307137.745, "t1": 1793307216.028, "s": 78.28} +{"seq": 149, "idx": 198, "ok": true, "gold": "320", "reply": "To find the total number of Pokemon cards Elaine has now, we need to calculate the number of cards she collected each month and add them to her initial amount.\n\n1. **Initial amount:**\n Elaine starts with 20 cards.\n Initial = 20\n\n2. **First month collection:**\n She collected three times her initial number.\n First month = $3 \\times 20 = 60$\n\n3. **Second month collection:**\n She collected 20 fewer cards than she collected in the first month.\n Second month = $60 - 20 = 40$\n\n4. **Third month collection:**\n She collected twice the combined number of cards from the first and second months.\n Combined (1st and 2nd) = $60 + 40 = 100$\n Third month = $2 \\times 100 = 200$\n\n5. **Total number of cards:**\n To find the total, we add the initial amount and the collections from all three months:\n Total = Initial + First month + Second month + Third month\n Total = $20 + 60 + 40 + 200$\n Total = $80 + 40 + 200$\n Total = $120 + 200$\n Total = $320$\n\nAnswer: 320", "usage": {"completion_tokens": 320, "prompt_tokens": 105, "total_tokens": 425, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307146.749, "t1": 1793307219.125, "s": 72.38} +{"seq": 150, "idx": 199, "ok": true, "gold": "7500", "reply": "To find out how much Mark makes in a week, we can follow these steps:\n\n1. **Identify the number of sentences edited for each publisher:**\n Mark edits a total of 1000 sentences each week. He edits an equal number of sentences for each of the two publishers.\n Sentences for Publisher A = $1000 / 2 = 500$ sentences.\n Sentences for Publisher B = $1000 / 2 = 500$ sentences.\n\n2. **Identify the pay rate for each publisher:**\n Publisher A pays 5 cents per sentence.\n Publisher B pays twice what Publisher A pays.\n Pay rate for Publisher B = $5 \\text{ cents} \\times 2 = 10$ cents per sentence.\n\n3. **Calculate the total earnings from each publisher:**\n Earnings from Publisher A = $500 \\text{ sentences} \\times 5 \\text{ cents/sentence} = 2500$ cents.\n Earnings from Publisher B = $500 \\text{ sentences} \\times 10 \\text{ cents/sentence} = 5000$ cents.\n\n4. **Calculate the total weekly earnings:**\n Total earnings = Earnings from Publisher A + Earnings from Publisher B\n Total earnings = $2500 \\text{ cents} + 5000 \\text{ cents} = 7500$ cents.\n\nAnswer: 7500", "usage": {"completion_tokens": 328, "prompt_tokens": 108, "total_tokens": 436, "prompt_tokens_details": {"cached_tokens": 1}}, "error": null, "prior_errors": 0, "t0": 1793307149.25, "t1": 1793307220.501, "s": 71.25} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/models.json b/bench/h54/results/2026-10-29/H54q/hold2/Lg/models.json new file mode 100644 index 00000000..9737856d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/models.json @@ -0,0 +1 @@ +{"models":[{"name":"gemma","model":"gemma","modified_at":"","size":"","digest":"","type":"model","description":"","tags":[""],"capabilities":["completion"],"parameters":"","details":{"parent_model":"","format":"gguf","family":"","families":[""],"parameter_size":"","quantization_level":""}}],"object":"list","data":[{"id":"gemma","aliases":["gemma"],"tags":[],"object":"model","architecture":{"input_modalities":["text"],"output_modalities":["text"]},"created":1793306547,"owned_by":"llamacpp","meta":{"vocab_type":2,"n_vocab":262144,"n_ctx":262144,"n_ctx_train":262144,"n_embd":2816,"n_params":25233142046,"size":14423538808,"ftype":"Q4_0"}}]} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/pf.log b/bench/h54/results/2026-10-29/H54q/hold2/Lg/pf.log new file mode 100644 index 00000000..a7f5ef6c --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/pf.log @@ -0,0 +1,155 @@ +Forwarding from 127.0.0.1:18464 -> 8080 +Forwarding from [::1]:18464 -> 8080 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b/bench/h54/results/2026-10-29/H54q/hold2/Lg/phases.jsonl @@ -0,0 +1 @@ +{"phase": "items", "t0": 1793306548.413956170, "t1": 1793307220.841002754, "check": {"void": true, "reason": "non-campaign CPU 4.90 CPU-s/s > 4.0"}} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/pod.json b/bench/h54/results/2026-10-29/H54q/hold2/Lg/pod.json new file mode 100644 index 00000000..ffea3cf6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/pod.json @@ -0,0 +1,259 @@ +{ + "apiVersion": "v1", + "kind": "Pod", + "metadata": { + "creationTimestamp": "2026-10-29T20:41:54Z", + "generateName": "lg-64c55654d8-", + "generation": 1, + "labels": { + "app": "lg", + "pod-template-hash": "64c55654d8" + }, + "name": "lg-64c55654d8-8258f", + "namespace": "h54", + "ownerReferences": [ + { + "apiVersion": "apps/v1", + "blockOwnerDeletion": true, + "controller": true, + "kind": "ReplicaSet", + "name": "lg-64c55654d8", + "uid": "0ed3e1ed-1bde-4e7e-9454-32bde3403274" + } + ], + "resourceVersion": "1328", + "uid": "758566da-9b06-43ea-a295-fa257e2fee59" + }, + "spec": { + "containers": [ + { + "args": [ + "-m", + "/models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf", + "--host", + "0.0.0.0", + "--port", + "8080", + "--alias", + "gemma", + "-t", + "48", + "-Cr", + "0-47", + "--cpu-strict", + "1", + "--jinja" + ], + "image": "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312", + "imagePullPolicy": "IfNotPresent", + "name": "server", + "ports": [ + { + "containerPort": 8080, + "name": "http", + "protocol": "TCP" + } + ], + "resources": {}, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-jhtpv", + "readOnly": true + } + ] + } + ], + "dnsPolicy": "ClusterFirst", + "enableServiceLinks": true, + "nodeName": "k3d-k3dgpu-g-h54q-2-server-0", + "preemptionPolicy": "PreemptLowerPriority", + "priority": 0, + "restartPolicy": "Always", + "schedulerName": "default-scheduler", + "securityContext": {}, + "serviceAccount": "default", + "serviceAccountName": "default", + "terminationGracePeriodSeconds": 30, + "tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "emptyDir": { + "medium": "Memory", + "sizeLimit": "8Gi" + }, + "name": "shm" + }, + { + "name": "kube-api-access-jhtpv", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:41:54Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:41:54Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:42:10Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:42:10Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:41:54Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "containerID": "containerd://d5ab8c135aae99cd803d3757bdec43dd7c7601bf1a0bfae7c1dba90a68b7c778", + "image": "sha256:521a6d74176d88e1bc20c9a4e87a9433a8354b69cc3ee85a060d732662eb91f1", + "imageID": "ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312", + "lastState": {}, + "name": "server", + "ready": true, + "resources": {}, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T20:42:10Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 0 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-jhtpv", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.19.0.2", + "hostIPs": [ + { + "ip": "172.19.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.10", + "podIPs": [ + { + "ip": "10.42.0.10" + } + ], + "qosClass": "BestEffort", + "resources": {}, + "startTime": "2026-10-29T20:41:54Z" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/pods.txt b/bench/h54/results/2026-10-29/H54q/hold2/Lg/pods.txt new file mode 100644 index 00000000..b0961812 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h54 lg-64c55654d8-8258f 1/1 Running 0 34s 10.42.0.10 k3d-k3dgpu-g-h54q-2-server-0 +kube-system coredns-577d995dff-qflvl 1/1 Running 0 20m 10.42.0.8 k3d-k3dgpu-g-h54q-2-server-0 +kube-system helm-install-gateway-api-crd-bqjqg 0/1 Completed 0 20m 10.42.0.6 k3d-k3dgpu-g-h54q-2-server-0 +kube-system local-path-provisioner-6858d854cf-rg7dd 1/1 Running 0 20m 10.42.0.2 k3d-k3dgpu-g-h54q-2-server-0 +kube-system metrics-server-778c4649b4-pqszp 1/1 Running 0 20m 10.42.0.7 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-gc-7d6955597d-5mbhc 1/1 Running 0 20m 10.42.0.4 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-master-74b6cfb7df-vzpk5 1/1 Running 0 20m 10.42.0.3 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-worker-96pwg 1/1 Running 0 20m 10.42.0.5 k3d-k3dgpu-g-h54q-2-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/q.json b/bench/h54/results/2026-10-29/H54q/hold2/Lg/q.json new file mode 100644 index 00000000..f64b458e --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/q.json @@ -0,0 +1,36 @@ +{ + "todo": 150, + "answered": 150, + "errors": 0, + "discarded": 0, + "cut": 0, + "not_asked": 0, + "stopped": null, + "end": "queue empty", + "t0": 1793306548.545, + "t1": 1793307220.764, + "first_items": [ + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69 + ], + "status": "measured", + "reason": "150 answered, 0 errored, 0 cut, 0 not asked (queue empty)" +} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/server.log.gz b/bench/h54/results/2026-10-29/H54q/hold2/Lg/server.log.gz new file mode 100644 index 00000000..dbd7588a Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold2/Lg/server.log.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Lg/status.json b/bench/h54/results/2026-10-29/H54q/hold2/Lg/status.json new file mode 100644 index 00000000..17b13534 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Lg/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "150 answered, 0 errored, 0 cut, 0 not asked (queue empty)", "at": "2026-10-29T20:53:40Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/apply.log b/bench/h54/results/2026-10-29/H54q/hold2/OVB/apply.log new file mode 100644 index 00000000..32945d1d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/apply.log @@ -0,0 +1,3 @@ +namespace/k3d-gpu-agent created +deployment.apps/ovms created +service/ovms created diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/arm.log b/bench/h54/results/2026-10-29/H54q/hold2/OVB/arm.log new file mode 100644 index 00000000..1636400b --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/arm.log @@ -0,0 +1,5 @@ +2026-10-29T20:22:44Z OVB start (2248 s before the item stop) +2026-10-29T20:23:19Z OVB ready after 35 s +2026-10-29T20:23:19Z OVB items: 150 to ask +q-items OVB: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T20:41:37Z OVB status measured: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/boot.json b/bench/h54/results/2026-10-29/H54q/hold2/OVB/boot.json new file mode 100644 index 00000000..9a8454fb --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/boot.json @@ -0,0 +1 @@ +{"apply": 1793305364, "ready": 1793305399, "boot_s": 35, "limit_s": 900} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/delete.log b/bench/h54/results/2026-10-29/H54q/hold2/OVB/delete.log new file mode 100644 index 00000000..27cae365 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/delete.log @@ -0,0 +1,7 @@ +namespace "k3d-gpu-agent" deleted +deployment.apps "ovms" deleted from k3d-gpu-agent namespace +service "ovms" deleted from k3d-gpu-agent namespace +No resources found +time="2026-10-29T20:41:43Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T20:41:43Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/deploy.yaml b/bench/h54/results/2026-10-29/H54q/hold2/OVB/deploy.yaml new file mode 100644 index 00000000..3c3d329d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/deploy.yaml @@ -0,0 +1,92 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 55x262144 + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + initContainers: + - name: pull + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --pull + - --source_model=OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_repository_path=/models + - --model_name=gemma + - --task=text_generation + - --target_device=CPU + - --max_num_seqs=55 + - --cache_size=285 + volumeMounts: + - name: models + mountPath: /models + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_name=gemma + - --cache_dir=/models/.ov_cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: '1' + memory: 333Gi + limits: + memory: 333Gi + volumeMounts: + - name: models + mountPath: /models + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/describe.txt b/bench/h54/results/2026-10-29/H54q/hold2/OVB/describe.txt new file mode 100644 index 00000000..a65010a0 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/describe.txt @@ -0,0 +1,104 @@ +Name: ovms-bdd984b6b-826v2 +Namespace: k3d-gpu-agent +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54q-2-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 20:22:44 +0000 +Labels: app=ovms + pod-template-hash=bdd984b6b +Annotations: k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 55x262144 +Status: Running +IP: 10.42.0.9 +IPs: + IP: 10.42.0.9 +Controlled By: ReplicaSet/ovms-bdd984b6b +Init Containers: + pull: + Container ID: containerd://42ab5ed42c7fe413563599dff5de96c6b7664466acd1b411afb20994fcbf4e8d + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: + Host Port: + Args: + --pull + --source_model=OpenVINO/gemma-4-26b-a4b-it-int4-ov + --model_repository_path=/models + --model_name=gemma + --task=text_generation + --target_device=CPU + --max_num_seqs=55 + --cache_size=285 + State: Terminated + Reason: Completed + Exit Code: 0 + Started: Thu, 29 Oct 2026 20:22:58 +0000 + Finished: Thu, 29 Oct 2026 20:22:58 +0000 + Ready: True + Restart Count: 0 + Environment: + Mounts: + /models from models (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-qcv2x (ro) +Containers: + ovms: + Container ID: containerd://d5551d63d7248e151fa1955972b8f6bce6a507a7523db60647a17d569034b47c + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: 8000/TCP (http) + Host Port: 0/TCP (http) + Args: + --rest_port=8000 + --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + --model_name=gemma + --cache_dir=/models/.ov_cache + --log_level=INFO + State: Running + Started: Thu, 29 Oct 2026 20:22:59 +0000 + Ready: True + Restart Count: 0 + Limits: + memory: 333Gi + Requests: + cpu: 1 + memory: 333Gi + Readiness: http-get http://:http/v2/health/ready delay=0s timeout=1s period=5s #success=1 #failure=3 + Environment: + Mounts: + /models from models (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-qcv2x (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + kube-api-access-qcv2x: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 18m default-scheduler Successfully assigned k3d-gpu-agent/ovms-bdd984b6b-826v2 to k3d-k3dgpu-g-h54q-2-server-0 + Normal Pulling 18m kubelet spec.initContainers{pull}: Pulling image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" + Normal Pulled 18m kubelet spec.initContainers{pull}: Successfully pulled image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" in 13.538s (13.538s including waiting). Image size: 404902607 bytes. + Normal Created 18m kubelet spec.initContainers{pull}: Container created + Normal Started 18m kubelet spec.initContainers{pull}: Container started + Normal Pulled 18m kubelet spec.containers{ovms}: Container image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" already present on machine and can be accessed by the pod + Normal Created 18m kubelet spec.containers{ovms}: Container created + Normal Started 18m kubelet spec.containers{ovms}: Container started + Warning Unhealthy 18m kubelet spec.containers{ovms}: Readiness probe failed: Get "http://10.42.0.9:8000/v2/health/ready": dial tcp 10.42.0.9:8000: connect: connection refused + Warning Unhealthy 18m (x3 over 18m) kubelet spec.containers{ovms}: Readiness probe failed: HTTP probe failed with statuscode: 503 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/hello.json b/bench/h54/results/2026-10-29/H54q/hold2/OVB/hello.json new file mode 100644 index 00000000..ab4a1705 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Hello! How can I help you today?","role":"assistant","tool_calls":[]}}],"created":1793305398,"model":"gemma","object":"chat.completion","usage":{"prompt_tokens":16,"completion_tokens":10,"total_tokens":26}} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/image.txt b/bench/h54/results/2026-10-29/H54q/hold2/OVB/image.txt new file mode 100644 index 00000000..5521c2bd --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/image.txt @@ -0,0 +1 @@ +openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/isa.txt b/bench/h54/results/2026-10-29/H54q/hold2/OVB/isa.txt new file mode 100644 index 00000000..7b8dec53 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/isa.txt @@ -0,0 +1,2 @@ +96 +96 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/items.jsonl b/bench/h54/results/2026-10-29/H54q/hold2/OVB/items.jsonl new file mode 100644 index 00000000..045d87d5 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/items.jsonl @@ -0,0 +1,150 @@ +{"seq": 1, "idx": 59, "ok": true, "gold": "187", "reply": "To find the total number of raspberries, we need to calculate the number of fruit in the clusters and then add the individual fruit.\n\n1. **Calculate the fruit in the clusters:**\n There are 6 clusters, and each cluster has 20 fruit.\n $6 \\times 20 = 120$\n\n2. **Add the individual fruit:**\n There are 67 individual fruit scattered across the bush.\n $120 + 67 = 187$\n\nTotal number of raspberries = 187.\n\nAnswer: 187", "usage": {"prompt_tokens": 60, "completion_tokens": 129, "total_tokens": 189}, "error": null, "prior_errors": 0, "t0": 1793305399.656, "t1": 1793305447.101, "s": 47.44} +{"seq": 2, "idx": 55, "ok": true, "gold": "14", "reply": "To find out how many bags Jean can fill, we follow these steps:\n\n1. **Calculate the remaining lollipops:**\n Jean starts with 30 lollipops and eats 2.\n $30 - 2 = 28$ lollipops remaining.\n\n2. **Calculate the number of bags:**\n Jean wants to put 2 lollipops in each bag. To find the number of bags, we divide the remaining lollipops by the number of lollipops per bag:\n $28 \\div 2 = 14$\n\nJean can fill 14 bags.\n\nAnswer: 14", "usage": {"prompt_tokens": 75, "completion_tokens": 141, "total_tokens": 216}, "error": null, "prior_errors": 0, "t0": 1793305399.653, "t1": 1793305452.492, "s": 52.84} +{"seq": 3, "idx": 56, "ok": true, "gold": "3", "reply": "To find out how many times Peter can go to the movies, we first need to determine the cost of a single trip.\n\n1. **Calculate the cost per trip:**\n * Ticket cost: $7\n * Popcorn cost: $7\n * Total cost per trip = $7 + $7 = $14\n\n2. **Calculate the number of trips possible with the total budget:**\n * Total budget: $42\n * Number of trips = Total budget / Cost per trip\n * Number of trips = $42 / $14\n\n3. **Perform the division:**\n * $42 \\div 14 = 3$\n\nPeter can go to the movies 3 times.\n\nAnswer: 3", "usage": {"prompt_tokens": 74, "completion_tokens": 170, "total_tokens": 244}, "error": null, "prior_errors": 0, "t0": 1793305399.654, "t1": 1793305462.271, "s": 62.62} +{"seq": 4, "idx": 61, "ok": true, "gold": "1430", "reply": "To find the total amount Janet paid, we need to calculate the cost of the materials, the cost of the construction, and the cost of the insurance.\n\n1. **Calculate the cost of materials and construction:**\n Material cost = $500\n Jeweler cost = $800\n Subtotal = $500 + $800 = $1300\n\n2. **Calculate the cost of insurance:**\n The insurance is 10% of the subtotal ($1300).\n Insurance = 0.10 * $1300 = $130\n\n3. **Calculate the total amount paid:**\n Total = Subtotal + Insurance\n Total = $1300 + $130 = $1430\n\nAnswer: 1430", "usage": {"prompt_tokens": 88, "completion_tokens": 181, "total_tokens": 269}, "error": null, "prior_errors": 0, "t0": 1793305399.658, "t1": 1793305466.955, "s": 67.3} +{"seq": 5, "idx": 60, "ok": true, "gold": "17", "reply": "To find the number of good oranges, we need to subtract the bad, unripe, and sour oranges from the total number of oranges.\n\n1. **Total number of oranges:** 25\n2. **Bad oranges:** 1\n3. **Unripe oranges:** 20% of 25\n Calculation: $0.20 \\times 25 = 5$\n4. **Sour oranges:** 2\n\nNow, we sum the categories that are not \"good\":\nTotal non-good oranges = Bad + Unripe + Sour\nTotal non-good oranges = $1 + 5 + 2 = 8$\n\nFinally, subtract the non-good oranges from the total to find the number of good oranges:\nGood oranges = Total oranges - Total non-good oranges\nGood oranges = $25 - 8 = 17$\n\nAnswer: 17", "usage": {"prompt_tokens": 66, "completion_tokens": 194, "total_tokens": 260}, "error": null, "prior_errors": 0, "t0": 1793305399.657, "t1": 1793305471.996, "s": 72.34} +{"seq": 6, "idx": 54, "ok": true, "gold": "40", "reply": "To find the total number of kittens the Doubtfire family now has, we need to calculate the number of kittens from each source and sum them up.\n\n1. **Adopted kittens:** The sisters started with 7 kittens.\n2. **Patchy's kittens:** Patchy had thrice the number of adopted kittens.\n $7 \\times 3 = 21$ kittens.\n3. **Trixie's kittens:** Trixie had 12 kittens.\n\nNow, we add all the kittens together:\nTotal kittens = (Adopted kittens) + (Patchy's kittens) + (Trixie's kittens)\nTotal kittens = $7 + 21 + 12$\n\nCalculating the sum:\n$7 + 21 = 28$\n$28 + 12 = 40$\n\nThe Doubtfire family now has 40 kittens.\n\nAnswer: 40", "usage": {"prompt_tokens": 108, "completion_tokens": 204, "total_tokens": 312}, "error": null, "prior_errors": 0, "t0": 1793305399.653, "t1": 1793305474.638, "s": 74.99} +{"seq": 7, "idx": 65, "ok": true, "gold": "36", "reply": "To find the total number of hours Jim spends on TV and reading, we follow these steps:\n\n1. **Calculate the time spent per session:**\n * Time spent watching TV = 2 hours.\n * Time spent reading = half of the TV time = $2 \\div 2 = 1$ hour.\n * Total time per session = $2 \\text{ hours (TV)} + 1 \\text{ hour (reading)} = 3$ hours.\n\n2. **Calculate the time spent per week:**\n * He does this 3 times a week.\n * Total time per week = $3 \\text{ sessions} \\times 3 \\text{ hours/session} = 9$ hours.\n\n3. **Calculate the total time for 4 weeks:**\n * Total time for 4 weeks = $9 \\text{ hours/week} \\times 4 \\text{ weeks} = 36$ hours.\n\nAnswer: 36", "usage": {"prompt_tokens": 76, "completion_tokens": 219, "total_tokens": 295}, "error": null, "prior_errors": 0, "t0": 1793305399.664, "t1": 1793305481.354, "s": 81.69} +{"seq": 8, "idx": 51, "ok": true, "gold": "5", "reply": "To find out how long it takes Tom to get back, we first need to determine the distance he traveled and the time he spent sailing away.\n\n1. **Calculate the time spent sailing away:**\n Tom sails from 1 PM to 4 PM.\n $4\\text{ PM} - 1\\text{ PM} = 3\\text{ hours}$.\n\n2. **Calculate the distance traveled:**\n The speed while sailing away is 10 mph.\n $\\text{Distance} = \\text{Speed} \\times \\text{Time}$\n $\\text{Distance} = 10\\text{ mph} \\times 3\\text{ hours} = 30\\text{ miles}$.\n\n3. **Calculate the time taken to travel back:**\n The distance remains the same (30 miles), and the speed returning is 6 mph.\n $\\text{Time} = \\frac{\\text{Distance}}{\\text{Speed}}$\n $\\text{Time} = \\frac{30\\text{ miles}}{6\\text{ mph}} = 5\\text{ hours}$.\n\nIt takes him 5 hours to get back.\n\nAnswer: 5", "usage": {"prompt_tokens": 79, "completion_tokens": 258, "total_tokens": 337}, "error": null, "prior_errors": 0, "t0": 1793305399.651, "t1": 1793305493.299, "s": 93.65} +{"seq": 9, "idx": 63, "ok": true, "gold": "1596", "reply": "To calculate the total amount Aleena paid for the streaming service, we need to break the year into two halves and calculate the cost for each period.\n\n**1. Calculate the cost for the first half of the year:**\nThe first half of the year consists of 6 months.\nThe monthly charge is $140.\nCost for the first 6 months = $140 \\times 6 = \\$840$.\n\n**2. Calculate the cost for the second half of the year:**\nThe second half of the year also consists of 6 months.\nThe new monthly charge is 10% less than the initial amount.\nReduction amount = 10% of $140 = 0.10 \\times 140 = \\$14$.\nNew monthly charge = $140 - 14 = \\$126$.\nCost for the next 6 months = $126 \\times 6 = \\$756$.\n\n**3. Calculate the total amount paid for the year:**\nTotal amount = Cost for the first half + Cost for the second half\nTotal amount = $\\$840 + \\$756 = \\$1596$.\n\nAnswer: 1596", "usage": {"prompt_tokens": 98, "completion_tokens": 265, "total_tokens": 363}, "error": null, "prior_errors": 0, "t0": 1793305399.661, "t1": 1793305495.763, "s": 96.1} +{"seq": 10, "idx": 64, "ok": true, "gold": "300", "reply": "To find out how many miles Sophia can drive on a single tank of gas, we first need to determine the car's fuel efficiency in miles per gallon (mpg).\n\n1. **Calculate the fuel efficiency (miles per gallon):**\n Sophia traveled 100 miles using 4 gallons of gas.\n $\\text{Fuel Efficiency} = \\frac{\\text{Miles Traveled}}{\\text{Gallons Used}}$\n $\\text{Fuel Efficiency} = \\frac{100 \\text{ miles}}{4 \\text{ gallons}} = 25 \\text{ miles per gallon (mpg)}$\n\n2. **Calculate the total distance for a full tank:**\n The owner's manual states the tank holds 12 gallons. We multiply the total capacity by the fuel efficiency.\n $\\text{Total Distance} = \\text{Tank Capacity} \\times \\text{Fuel Efficiency}$\n $\\text{Total Distance} = 12 \\text{ gallons} \\times 25 \\text{ mpg}$\n\n3. **Perform the multiplication:**\n $12 \\times 25 = 300$\n\nSophia can drive 300 miles on a single tank of gas.\n\nAnswer: 300", "usage": {"prompt_tokens": 122, "completion_tokens": 267, "total_tokens": 389}, "error": null, "prior_errors": 0, "t0": 1793305399.661, "t1": 1793305498.427, "s": 98.77} +{"seq": 11, "idx": 52, "ok": true, "gold": "15", "reply": "To find out how many toys Uriah needs to remove, we can follow these steps:\n\n1. **Calculate the total weight removed by the comic books:**\n Each comic book weighs $1/4$ pound.\n Uriah removes 30 comic books.\n $\\text{Weight of comic books} = 30 \\times \\frac{1}{4} = \\frac{30}{4} = 7.5 \\text{ pounds}$.\n\n2. **Calculate the remaining weight that needs to be removed:**\n The total weight to be removed is 15 pounds.\n $\\text{Remaining weight} = 15 - 7.5 = 7.5 \\text{ pounds}$.\n\n3. **Calculate the number of toys needed to reach the remaining weight:**\n Each toy weighs $1/2$ pound.\n Let $x$ be the number of toys.\n $x \\times \\frac{1}{2} = 7.5$\n To solve for $x$, multiply both sides by 2:\n $x = 7.5 \\times 2$\n $x = 15$\n\nUriah needs to remove 15 toys.\n\nAnswer: 15", "usage": {"prompt_tokens": 92, "completion_tokens": 271, "total_tokens": 363}, "error": null, "prior_errors": 0, "t0": 1793305399.652, "t1": 1793305500.252, "s": 100.6} +{"seq": 12, "idx": 53, "ok": true, "gold": "40", "reply": "To find the difference in revenue between the two days, we first calculate the revenue for Thursday and Friday separately.\n\n**Step 1: Calculate revenue for Thursday.**\nOn Thursday, the mechanic repaired 6 truck tires and 4 car tires.\n- Rate for a truck tire: $60\n- Rate for a car tire: $40\n- Revenue from truck tires: $6 \\times \\$60 = \\$360$\n- Revenue from car tires: $4 \\times \\$40 = \\$160$\n- Total revenue for Thursday: $\\$360 + \\$160 = \\$520$\n\n**Step 2: Calculate revenue for Friday.**\nOn Friday, the mechanic repaired 12 car tires and 0 truck tires.\n- Rate for a car tire: $40\n- Revenue from car tires: $12 \\times \\$40 = \\$480$\n- Total revenue for Friday: $\\$480$\n\n**Step 3: Determine which day had higher revenue and find the difference.**\n- Thursday's revenue: $520\n- Friday's revenue: $480\nThe higher revenue was on Thursday ($520).\n\nTo find how much more revenue the mechanic earned on the day with higher revenue:\nDifference = $\\$520 - \\$480 = \\$40$\n\nAnswer: 40", "usage": {"prompt_tokens": 130, "completion_tokens": 299, "total_tokens": 429}, "error": null, "prior_errors": 0, "t0": 1793305399.652, "t1": 1793305508.869, "s": 109.22} +{"seq": 13, "idx": 50, "ok": true, "gold": "294", "reply": "To find out how much Lloyd makes on eggs per week, we follow these steps:\n\n1. **Calculate the number of eggs produced per week:**\n Lloyd produces 252 eggs per day.\n There are 7 days in a week.\n $252 \\text{ eggs/day} \\times 7 \\text{ days/week} = 1,764 \\text{ eggs/week}$\n\n2. **Convert the number of eggs into dozens:**\n There are 12 eggs in a dozen.\n $1,764 \\text{ eggs} \\div 12 \\text{ eggs/dozen} = 147 \\text{ dozen}$\n\n3. **Calculate the total revenue:**\n The price is $2 per dozen.\n $147 \\text{ dozen} \\times \\$2/\\text{dozen} = \\$294$\n\n**Alternative method:**\n1. **Calculate dozens per day:**\n $252 \\text{ eggs} \\div 12 = 21 \\text{ dozen per day}$\n2. **Calculate revenue per day:**\n $21 \\text{ dozen} \\times \\$2 = \\$42 \\text{ per day}$\n3. **Calculate revenue per week:**\n $\\$42 \\text{ per day} \\times 7 \\text{ days} = \\$294$\n\nAnswer: 294", "usage": {"prompt_tokens": 65, "completion_tokens": 318, "total_tokens": 383}, "error": null, "prior_errors": 0, "t0": 1793305399.65, "t1": 1793305517.309, "s": 117.66} +{"seq": 14, "idx": 58, "ok": true, "gold": "57", "reply": "To find the final price of Stephen's groceries, we follow the steps of the charges applied to his initial bill.\n\n1. **Initial Bill:** The starting amount is $40.00.\n2. **Calculate the 25% fee:** The fee is 25% of the final bill ($40.00).\n $40.00 \\times 0.25 = \\$10.00$\n3. **Add the delivery fee:** The vendor charged an additional $3.00 for delivery.\n4. **Add the tip:** Stephen added a $4.00 tip.\n\nNow, we sum all the components to find the final price:\n$\\text{Initial Bill} + \\text{25\\% Fee} + \\text{Delivery Fee} + \\text{Tip} = \\text{Final Price}$\n$\\$40.00 + \\$10.00 + \\$3.00 + \\$4.00 = \\$57.00$\n\nAlternatively, calculating step-by-step:\n- Subtotal after 25% fee: $\\$40.00 + \\$10.00 = \\$50.00$\n- Subtotal after delivery fee: $\\$50.00 + \\$3.00 = \\$53.00$\n- Final total after tip: $\\$53.00 + \\$4.00 = \\$57.00$\n\nAnswer: 57.00", "usage": {"prompt_tokens": 113, "completion_tokens": 330, "total_tokens": 443}, "error": null, "prior_errors": 0, "t0": 1793305399.655, "t1": 1793305520.729, "s": 121.07} +{"seq": 15, "idx": 71, "ok": true, "gold": "60", "reply": "To find the total number of instructions Kelian has to read, we follow these steps:\n\n1. **Identify the number of instructions in the first recipe:**\n The first recipe has 20 instructions.\n\n2. **Calculate the number of instructions in the second recipe:**\n The second recipe has twice as many instructions as the first one.\n $20 \\times 2 = 40$ instructions.\n\n3. **Calculate the total number of instructions:**\n To find the total, add the instructions from the first recipe and the second recipe together.\n $20 + 40 = 60$ instructions.\n\nAnswer: 60", "usage": {"prompt_tokens": 73, "completion_tokens": 145, "total_tokens": 218}, "error": null, "prior_errors": 0, "t0": 1793305474.681, "t1": 1793305527.283, "s": 52.6} +{"seq": 16, "idx": 68, "ok": true, "gold": "36", "reply": "To find the number of teachers, we first need to determine the total number of students.\n\n1. **Find the number of boys:**\n The problem states there are twice as many boys as girls.\n Number of girls = 60\n Number of boys = 2 \u00d7 60 = 120\n\n2. **Find the total number of students:**\n Total students = Number of boys + Number of girls\n Total students = 120 + 60 = 180\n\n3. **Find the number of teachers:**\n The problem states there are 5 students for every 1 teacher.\n Number of teachers = Total students / Students per teacher\n Number of teachers = 180 / 5\n\n Calculation:\n 180 / 5 = 36\n\nAnswer: 36", "usage": {"prompt_tokens": 67, "completion_tokens": 186, "total_tokens": 253}, "error": null, "prior_errors": 0, "t0": 1793305462.677, "t1": 1793305530.401, "s": 67.72} +{"seq": 17, "idx": 69, "ok": true, "gold": "60", "reply": "To find out how much money Bailey started with, we can follow these steps:\n\n1. **Calculate the total amount of allowance received:**\n Bailey receives $5 per week for 8 weeks.\n Total allowance = $5/week \u00d7 8 weeks = $40.\n\n2. **Set up an equation to find the starting amount:**\n Let $x$ be the amount of money Bailey started with.\n The total amount she has at the end is the starting amount plus the allowance received.\n $x + \\$40 = \\$100$\n\n3. **Solve for $x$:**\n Subtract $40 from both sides of the equation:\n $x = \\$100 - \\$40$\n $x = \\$60$\n\nBailey started with $60.\n\nAnswer: 60", "usage": {"prompt_tokens": 80, "completion_tokens": 185, "total_tokens": 265}, "error": null, "prior_errors": 0, "t0": 1793305467.179, "t1": 1793305534.638, "s": 67.46} +{"seq": 18, "idx": 66, "ok": true, "gold": "48", "reply": "To find the total number of people sent by all the schools, we can break the problem down into steps:\n\n1. **Identify the number of teams per school:**\n Each school has one girls' team and one boys' team.\n Number of teams per school = 2\n\n2. **Identify the number of people per team:**\n Each team has 5 players and 1 coach.\n People per team = 5 (players) + 1 (coach) = 6 people\n\n3. **Calculate the number of people per school:**\n Since there are 2 teams per school and each team has 6 people:\n People per school = 2 teams \u00d7 6 people/team = 12 people\n\n4. **Calculate the total number of people for all schools:**\n There are 4 schools in total.\n Total people = 4 schools \u00d7 12 people/school = 48 people\n\n**Alternative calculation:**\nTotal teams = 4 schools \u00d7 2 teams/school = 8 teams\nTotal people = 8 teams \u00d7 6 people/team = 48 people\n\nAnswer: 48", "usage": {"prompt_tokens": 87, "completion_tokens": 250, "total_tokens": 337}, "error": null, "prior_errors": 0, "t0": 1793305447.173, "t1": 1793305538.044, "s": 90.87} +{"seq": 19, "idx": 57, "ok": true, "gold": "83", "reply": "To find the maximum number of boxes that can be loaded onto the truck, we follow these steps:\n\n1. **Identify the total weight capacity of the bridge:**\n The bridge can carry a maximum of 5000 pounds.\n\n2. **Identify the weight of the truck and driver:**\n The combined weight of the driver and the empty truck is 3755 pounds.\n\n3. **Calculate the remaining weight capacity available for the boxes:**\n Subtract the weight of the truck and driver from the total capacity:\n $5000 - 3755 = 1245$ pounds.\n\n4. **Determine the weight of a single box:**\n Each box weighs 15 pounds.\n\n5. **Calculate the maximum number of boxes:**\n Divide the remaining capacity by the weight of one box:\n $1245 \\div 15$\n\n Let's perform the division:\n $1245 / 15 = ?$\n $15 \\times 80 = 1200$\n $1245 - 1200 = 45$\n $15 \\times 3 = 45$\n So, $80 + 3 = 83$.\n\n6. **Verify the result:**\n If 83 boxes are loaded:\n Total weight = $3755 + (83 \\times 15)$\n Total weight = $3755 + 1245 = 5000$ pounds.\n Since the bridge can carry \"no more than 5000 pounds,\" 5000 is the maximum allowable weight.\n\nThe maximum number of boxes is 83.\n\nAnswer: 83", "usage": {"prompt_tokens": 107, "completion_tokens": 394, "total_tokens": 501}, "error": null, "prior_errors": 0, "t0": 1793305399.655, "t1": 1793305544.455, "s": 144.8} +{"seq": 20, "idx": 72, "ok": true, "gold": "221", "reply": "To find the total amount of money Tommy raised, we need to calculate the revenue from the brownies and the revenue from the cheesecakes separately, and then add them together.\n\n1. **Calculate the money from brownies:**\n Tommy sold 43 slices of brownies at $3 per slice.\n $43 \\times 3 = 129$\n\n2. **Calculate the money from cheesecakes:**\n Tommy sold 23 slices of cheesecake at $4 per slice.\n $23 \\times 4 = 92$\n\n3. **Calculate the total money raised:**\n Add the brownie revenue and the cheesecake revenue together.\n $129 + 92 = 221$\n\nTommy raised a total of $221.\n\nAnswer: 221", "usage": {"prompt_tokens": 75, "completion_tokens": 178, "total_tokens": 253}, "error": null, "prior_errors": 0, "t0": 1793305481.683, "t1": 1793305546.945, "s": 65.26} +{"seq": 21, "idx": 67, "ok": true, "gold": "595", "reply": "To find the total number of gems in the chest, we need to calculate the number of each type of gem and then sum them up.\n\n1. **Find the number of diamonds:**\n The problem states there are 175 diamonds.\n $\\text{Diamonds} = 175$\n\n2. **Find the number of rubies:**\n The problem states there are 35 fewer rubies than diamonds.\n $\\text{Rubies} = 175 - 35 = 140$\n\n3. **Find the number of emeralds:**\n The problem states there are twice the number of emeralds as rubies.\n $\\text{Emeralds} = 140 \\times 2 = 280$\n\n4. **Find the total number of gems:**\n Add the number of diamonds, rubies, and emeralds together.\n $\\text{Total} = \\text{Diamonds} + \\text{Rubies} + \\text{Emeralds}$\n $\\text{Total} = 175 + 140 + 280$\n\n Calculation:\n $175 + 140 = 315$\n $315 + 280 = 595$\n\nThe total number of gems in the chest is 595.\n\nAnswer: 595", "usage": {"prompt_tokens": 82, "completion_tokens": 307, "total_tokens": 389}, "error": null, "prior_errors": 0, "t0": 1793305452.675, "t1": 1793305563.361, "s": 110.69} +{"seq": 22, "idx": 79, "ok": true, "gold": "70", "reply": "To find the cost of the grooming, follow these steps:\n\n1. **Identify the original cost:** The original cost of the grooming is $100.\n2. **Calculate the discount amount:** The discount is 30% of the original cost.\n $100 \\times 0.30 = \\$30$\n3. **Subtract the discount from the original cost:**\n $\\$100 - \\$30 = \\$70$\n\nAlternatively, you can calculate the remaining percentage:\nIf the discount is 30%, John pays 70% of the original cost (100% - 30% = 70%).\n$\\$100 \\times 0.70 = \\$70$\n\nAnswer: 70", "usage": {"prompt_tokens": 77, "completion_tokens": 170, "total_tokens": 247}, "error": null, "prior_errors": 0, "t0": 1793305521.194, "t1": 1793305581.199, "s": 60.0} +{"seq": 23, "idx": 83, "ok": true, "gold": "600", "reply": "To find the total number of thorns, we need to multiply the number of rose bushes, the number of roses per bush, and the number of thorns per rose.\n\n1. **Calculate the total number of roses:**\n 3 rose bushes \u00d7 25 roses per bush = 75 roses\n\n2. **Calculate the total number of thorns:**\n 75 roses \u00d7 8 thorns per rose = 600 thorns\n\nAlternatively, you can multiply all the numbers together:\n3 \u00d7 25 \u00d7 8 = 75 \u00d7 8 = 600\n\nAnswer: 600", "usage": {"prompt_tokens": 59, "completion_tokens": 131, "total_tokens": 190}, "error": null, "prior_errors": 0, "t0": 1793305538.199, "t1": 1793305584.284, "s": 46.09} +{"seq": 24, "idx": 77, "ok": true, "gold": "100", "reply": "To find the difference in the amount of laundry between Raymond and David, we first determine the amount of laundry each person does based on the information provided.\n\n1. **Identify Sarah's amount:**\n Sarah does 400 pounds of laundry.\n\n2. **Calculate Raymond's amount:**\n Raymond does half as much as Sarah.\n $\\text{Raymond} = \\frac{1}{2} \\times 400 = 200 \\text{ pounds}$\n\n3. **Calculate David's amount:**\n Sarah does 4 times as much as David. This means David does $\\frac{1}{4}$ as much as Sarah.\n $\\text{David} = \\frac{400}{4} = 100 \\text{ pounds}$\n\n4. **Calculate the difference between Raymond and David:**\n $\\text{Difference} = \\text{Raymond} - \\text{David}$\n $\\text{Difference} = 200 - 100 = 100 \\text{ pounds}$\n\nAnswer: 100", "usage": {"prompt_tokens": 74, "completion_tokens": 238, "total_tokens": 312}, "error": null, "prior_errors": 0, "t0": 1793305509.191, "t1": 1793305594.125, "s": 84.93} +{"seq": 25, "idx": 81, "ok": true, "gold": "17", "reply": "To find out how many stickers Charlie has left, we can follow the steps of his sticker transactions:\n\n1. **Initial amount:** Charlie started with 10 stickers.\n2. **Add stickers bought:** He bought 21 stickers.\n $10 + 21 = 31$ stickers.\n3. **Add stickers from birthday:** He got 23 stickers.\n $31 + 23 = 54$ stickers.\n4. **Subtract stickers given away:** He gave 9 stickers to his sister.\n $54 - 9 = 45$ stickers.\n5. **Subtract stickers used:** He used 28 stickers for a greeting card.\n $45 - 28 = 17$ stickers.\n\nCharlie has 17 stickers left.\n\nAnswer: 17", "usage": {"prompt_tokens": 88, "completion_tokens": 187, "total_tokens": 275}, "error": null, "prior_errors": 0, "t0": 1793305530.697, "t1": 1793305597.526, "s": 66.83} +{"seq": 26, "idx": 82, "ok": true, "gold": "623", "reply": "To find the combined weights of Grace and Alex, we follow these steps:\n\n1. **Identify Grace's weight:**\n Grace weighs 125 pounds.\n\n2. **Calculate Alex's weight:**\n The problem states that Alex weighs 2 pounds less than 4 times what Grace weighs.\n First, calculate 4 times Grace's weight:\n $4 \\times 125 = 500$ pounds.\n Next, subtract 2 pounds from that result:\n $500 - 2 = 498$ pounds.\n So, Alex weighs 498 pounds.\n\n3. **Calculate their combined weight:**\n Add Grace's weight and Alex's weight together:\n $125 + 498 = 623$ pounds.\n\nAnswer: 623", "usage": {"prompt_tokens": 59, "completion_tokens": 190, "total_tokens": 249}, "error": null, "prior_errors": 0, "t0": 1793305534.698, "t1": 1793305602.535, "s": 67.84} +{"seq": 27, "idx": 73, "ok": true, "gold": "255", "reply": "To find out how much Shiela will pay each month, we need to calculate the total cost of the phones including interest and then divide that total by the number of months.\n\n**Step 1: Calculate the cost of one cell phone with interest.**\nThe cost of one cell phone is $150.\nThe interest rate is 2% per unit.\nInterest per unit = $150 \\times 0.02 = $3.\n\nTotal cost for one unit = $150 + $3 = $153.\n\n**Step 2: Calculate the total cost for all five cell phones.**\nShiela bought five cell phones.\nTotal cost = $153 \\times 5 = $765.\n\n**Step 3: Calculate the monthly payment.**\nThe total amount is to be paid over 3 months.\nMonthly payment = Total cost / 3 months\nMonthly payment = $765 / 3 = $255.\n\n**Alternative Method:**\nTotal cost of phones = $150 \\times 5 = $750.\nTotal interest = ($150 \\times 0.02) \\times 5 = $3 \\times 5 = $15.\nTotal amount to pay = $750 + $15 = $765.\nMonthly payment = $765 / 3 = $255.\n\nAnswer: 255", "usage": {"prompt_tokens": 74, "completion_tokens": 310, "total_tokens": 384}, "error": null, "prior_errors": 0, "t0": 1793305493.686, "t1": 1793305606.427, "s": 112.74} +{"seq": 28, "idx": 80, "ok": true, "gold": "10", "reply": "To find out how many liters of water were left, we follow these steps:\n\n1. **Calculate how much water each girl got:**\n Each girl got $\\frac{1}{6}$ of 24 liters.\n $\\frac{1}{6} \\times 24 = 4$ liters.\n\n2. **Calculate the total amount the two girls got:**\n Since there are two girls:\n $4 \\text{ liters} + 4 \\text{ liters} = 8 \\text{ liters}$.\n\n3. **Calculate the total amount taken by the girls and the boy:**\n The boy got 6 liters.\n Total taken = $8 \\text{ liters (girls)} + 6 \\text{ liters (boy)} = 14 \\text{ liters}$.\n\n4. **Calculate the remaining water:**\n Subtract the total amount taken from the original amount.\n Remaining water = $24 \\text{ liters} - 14 \\text{ liters} = 10 \\text{ liters}$.\n\nAnswer: 10", "usage": {"prompt_tokens": 64, "completion_tokens": 233, "total_tokens": 297}, "error": null, "prior_errors": 0, "t0": 1793305527.696, "t1": 1793305611.889, "s": 84.19} +{"seq": 29, "idx": 78, "ok": true, "gold": "6", "reply": "To find out how much Vincent saves, we first need to determine the cost of 18 flowers using both pricing options and identify which one is the \"better price.\"\n\n**Option 1: Packages of 3 for $2.50**\n1. Calculate how many packages are needed for 18 flowers:\n $18 \\div 3 = 6$ packages.\n2. Calculate the total cost:\n $6 \\times \\$2.50 = \\$15.00$.\n\n**Option 2: Packages of 2 for $1**\n1. Calculate how many packages are needed for 18 flowers:\n $18 \\div 2 = 9$ packages.\n2. Calculate the total cost:\n $9 \\times \\$1 = \\$9.00$.\n\n**Comparison:**\nThe cost of Option 1 is $15.00.\nThe cost of Option 2 is $9.00.\nThe better price is Option 2 ($9.00).\n\n**Calculation of Savings:**\nTo find the savings, subtract the better price from the more expensive price:\n$\\$15.00 - \\$9.00 = \\$6.00$.\n\nAnswer: 6", "usage": {"prompt_tokens": 71, "completion_tokens": 270, "total_tokens": 341}, "error": null, "prior_errors": 0, "t0": 1793305517.693, "t1": 1793305615.559, "s": 97.87} +{"seq": 30, "idx": 74, "ok": true, "gold": "88", "reply": "To find out how much Artie will make, we first need to round each flower price to the nearest dollar as per his decision.\n\n1. **Round the prices:**\n * Marigolds: $2.74 rounds to **$3.00** (since 0.74 is $\\ge$ 0.50).\n * Petunias: $1.87 rounds to **$2.00** (since 0.87 is $\\ge$ 0.50).\n * Begonias: $2.12 rounds to **$2.00** (since 0.12 is < 0.50).\n\n2. **Calculate the revenue for each type of flower:**\n * Marigolds: 12 pots $\\times$ $3.00/pot = **$36.00**\n * Petunias: 9 pots $\\times$ $2.00/pot = **$18.00**\n * Begonias: 17 pots $\\times$ $2.00/pot = **$34.00**\n\n3. **Calculate the total revenue:**\n * Total = $36.00 + $18.00 + $34.00\n * Total = $54.00 + $34.00\n * Total = $88.00\n\nAnswer: 88", "usage": {"prompt_tokens": 152, "completion_tokens": 331, "total_tokens": 483}, "error": null, "prior_errors": 0, "t0": 1793305496.187, "t1": 1793305617.012, "s": 120.83} +{"seq": 31, "idx": 76, "ok": true, "gold": "5", "reply": "To find the total number of bags of dog food Cecilia will use in the first year, we need to calculate the total number of cups used and then divide by the amount in one bag.\n\n**1. Calculate the total number of days in the first year:**\nA standard year has 365 days.\n\n**2. Calculate the amount of food used in the first 180 days:**\nFor the first 180 days, the puppy eats 1 cup per day.\n$180 \\text{ days} \\times 1 \\text{ cup/day} = 180 \\text{ cups}$\n\n**3. Calculate the amount of food used for the remaining days of the year:**\nThe remaining days are $365 - 180 = 185$ days.\nFor these days, the puppy eats 2 cups per day.\n$185 \\text{ days} \\times 2 \\text{ cups/day} = 370 \\text{ cups}$\n\n**4. Calculate the total number of cups used in the first year:**\n$\\text{Total cups} = 180 \\text{ cups} + 370 \\text{ cups} = 550 \\text{ cups}$\n\n**5. Calculate the number of bags used:**\nEach bag contains 110 cups.\n$\\text{Number of bags} = \\frac{550 \\text{ cups}}{110 \\text{ cups/bag}} = 5 \\text{ bags}$\n\nAnswer: 5", "usage": {"prompt_tokens": 114, "completion_tokens": 336, "total_tokens": 450}, "error": null, "prior_errors": 0, "t0": 1793305500.689, "t1": 1793305622.554, "s": 121.86} +{"seq": 32, "idx": 75, "ok": true, "gold": "60", "reply": "To find the average square footage of a level, we first need to determine the square footage of each of the 4 levels.\n\n1. **Identify the levels:**\n The sandcastle has 4 levels. We are told the top level (Level 1) has a square footage of 16.\n The problem states that each level has half the square footage as the level below it. This means as we move from the top to the bottom, the square footage doubles.\n\n2. **Calculate the square footage for each level:**\n * Level 1 (Top): 16 sq ft\n * Level 2: $16 \\times 2 = 32$ sq ft\n * Level 3: $32 \\times 2 = 64$ sq ft\n * Level 4 (Bottom): $64 \\times 2 = 128$ sq ft\n\n3. **Calculate the total square footage:**\n Total = $16 + 32 + 64 + 128$\n Total = $48 + 64 + 128$\n Total = $112 + 128$\n Total = $240$ sq ft\n\n4. **Calculate the average square footage:**\n The average is the total square footage divided by the number of levels.\n Average = $\\frac{\\text{Total Square Footage}}{\\text{Number of Levels}}$\n Average = $\\frac{240}{4}$\n Average = $60$\n\nAnswer: 60", "usage": {"prompt_tokens": 95, "completion_tokens": 346, "total_tokens": 441}, "error": null, "prior_errors": 0, "t0": 1793305498.688, "t1": 1793305624.914, "s": 126.23} +{"seq": 33, "idx": 86, "ok": true, "gold": "22", "reply": "To find the total number of times the alarm rang, we need to calculate the number of rings for each of the three times it went off and then sum them up.\n\n1. **First time:** The problem states the alarm rang **4** times.\n2. **Second time:** The problem states it rang for three times as long as the first time.\n Calculation: $4 \\times 3 = 12$ times.\n3. **Third time:** The problem states it rang for half as long as the second time.\n Calculation: $12 \\div 2 = 6$ times.\n\nTo find the total number of rings, we add the rings from all three times:\n$4 + 12 + 6 = 22$\n\nAnswer: 22", "usage": {"prompt_tokens": 117, "completion_tokens": 172, "total_tokens": 289}, "error": null, "prior_errors": 0, "t0": 1793305563.706, "t1": 1793305627.311, "s": 63.61} +{"seq": 34, "idx": 70, "ok": true, "gold": "7425", "reply": "To find the total amount of money Judy makes in one week, we need to calculate the total number of classes she teaches and then multiply that by the revenue per class.\n\n**1. Calculate the number of classes per week:**\n* **Weekdays (Monday to Friday):** There are 5 weekdays. She teaches 5 classes each day.\n $5 \\text{ days} \\times 5 \\text{ classes/day} = 25 \\text{ classes}$\n* **Saturday:** She teaches 8 classes.\n $1 \\text{ day} \\times 8 \\text{ classes/day} = 8 \\text{ classes}$\n* **Total classes per week:**\n $25 + 8 = 33 \\text{ classes}$\n\n**2. Calculate the revenue per class:**\nEach class has 15 students, and each student pays $15.00.\n* $\\text{Revenue per class} = 15 \\text{ students} \\times \\$15.00/\\text{student} = \\$225.00$\n\n**3. Calculate the total weekly revenue:**\nMultiply the total number of classes by the revenue per class.\n* $\\text{Total revenue} = 33 \\text{ classes} \\times \\$225.00/\\text{class}$\n\nLet's perform the multiplication:\n$33 \\times 225 = 33 \\times (200 + 25)$\n$33 \\times 200 = 6600$\n$33 \\times 25 = 825$\n$6600 + 825 = 7425$\n\nAlternatively:\n$30 \\times 225 = 6750$\n$3 \\times 225 = 675$\n$6750 + 675 = 7425$\n\nAnswer: 7425", "usage": {"prompt_tokens": 81, "completion_tokens": 438, "total_tokens": 519}, "error": null, "prior_errors": 0, "t0": 1793305472.18, "t1": 1793305632.03, "s": 159.85} +{"seq": 35, "idx": 84, "ok": true, "gold": "15", "reply": "To solve this problem, we can use a system of simple equations.\n\n1. **Identify the variables:**\n Let $W$ be the number of games won.\n Let $L$ be the number of games lost.\n\n2. **Set up the equations based on the problem statement:**\n * The total number of games played is 22:\n $W + L = 22$\n * They won 8 more than they lost:\n $W = L + 8$\n\n3. **Substitute the second equation into the first:**\n Replace $W$ in the first equation with $(L + 8)$:\n $(L + 8) + L = 22$\n\n4. **Solve for $L$:**\n $2L + 8 = 22$\n Subtract 8 from both sides:\n $2L = 14$\n Divide by 2:\n $L = 7$\n\n5. **Solve for $W$:**\n Using the equation $W = L + 8$:\n $W = 7 + 8$\n $W = 15$\n\n6. **Verify the result:**\n Total games: $15 + 7 = 22$ (Correct)\n Difference: $15 - 7 = 8$ (Correct)\n\nThe team won 15 games.\n\nAnswer: 15", "usage": {"prompt_tokens": 53, "completion_tokens": 321, "total_tokens": 374}, "error": null, "prior_errors": 0, "t0": 1793305544.701, "t1": 1793305661.947, "s": 117.25} +{"seq": 36, "idx": 90, "ok": true, "gold": "225", "reply": "To find the total amount of potato salad needed, we need to calculate the amount for adults and the amount for children separately and then add them together.\n\n1. **Calculate the amount for adults:**\n * Number of adults = 20\n * Amount per adult = 10 lbs\n * Total for adults = $20 \\times 10 = 200$ lbs\n\n2. **Calculate the amount for children:**\n * Amount per child = half of an adult's portion = $10 / 2 = 5$ lbs\n * Number of children = 5\n * Total for children = $5 \\times 5 = 25$ lbs\n\n3. **Calculate the total amount:**\n * Total = Amount for adults + Amount for children\n * Total = $200 + 25 = 225$ lbs\n\nTed needs to bring 225 pounds of potato salad.\n\nAnswer: 225", "usage": {"prompt_tokens": 115, "completion_tokens": 221, "total_tokens": 336}, "error": null, "prior_errors": 0, "t0": 1793305597.714, "t1": 1793305680.209, "s": 82.5} +{"seq": 37, "idx": 91, "ok": true, "gold": "28", "reply": "To find the total number of pets, we need to determine how many pets each person has based on the information provided.\n\n1. **Find Cindy's pets:**\n The problem states that Cindy has 4 pets.\n $Cindy = 4$\n\n2. **Find Marcia's pets:**\n The problem states that Marcia has two more pets than Cindy.\n $Marcia = Cindy + 2$\n $Marcia = 4 + 2 = 6$\n\n3. **Find Jan's pets:**\n The problem states that Jan has three times the number of pets as Marcia.\n $Jan = 3 \\times Marcia$\n $Jan = 3 \\times 6 = 18$\n\n4. **Find the total number of pets:**\n To find the total, add the number of pets Jan, Marcia, and Cindy have together.\n $Total = Jan + Marcia + Cindy$\n $Total = 18 + 6 + 4$\n $Total = 28$\n\nAnswer: 28", "usage": {"prompt_tokens": 63, "completion_tokens": 236, "total_tokens": 299}, "error": null, "prior_errors": 0, "t0": 1793305602.716, "t1": 1793305690.759, "s": 88.04} +{"seq": 38, "idx": 88, "ok": true, "gold": "8000", "reply": "To solve this problem, we can use algebra.\n\n1. **Define the variables:**\n Let $x$ be the number of copies Harald sold.\n Since Marilyn sold 10 times as many copies as Harald, Marilyn's sales can be represented as $10x$.\n\n2. **Set up the equation:**\n The total number of copies sold by both is 88,000. Therefore:\n $x + 10x = 88,000$\n\n3. **Solve for $x$:**\n Combine the like terms:\n $11x = 88,000$\n\n Divide both sides by 11:\n $x = \\frac{88,000}{11}$\n $x = 8,000$\n\n4. **Verify the result:**\n If Harald sold 8,000 copies, then Marilyn sold $10 \\times 8,000 = 80,000$ copies.\n Total sales = $8,000 + 80,000 = 88,000$.\n The total matches the problem statement.\n\nHarald sold 8,000 copies.\n\nAnswer: 8000", "usage": {"prompt_tokens": 69, "completion_tokens": 288, "total_tokens": 357}, "error": null, "prior_errors": 0, "t0": 1793305584.711, "t1": 1793305692.287, "s": 107.58} +{"seq": 39, "idx": 96, "ok": true, "gold": "3", "reply": "To find out how many more hours Harry slept than James, we follow these steps:\n\n1. **Determine how many hours Harry slept:**\n Harry slept 9 hours.\n\n2. **Calculate how many hours James slept:**\n James slept $\\frac{2}{3}$ of what Harry slept.\n $\\text{James's sleep} = \\frac{2}{3} \\times 9$\n $\\text{James's sleep} = 2 \\times 3 = 6$ hours.\n\n3. **Calculate the difference between Harry's sleep and James's sleep:**\n $\\text{Difference} = \\text{Harry's sleep} - \\text{James's sleep}$\n $\\text{Difference} = 9 - 6 = 3$ hours.\n\nHarry slept 3 more hours than James.\n\nAnswer: 3", "usage": {"prompt_tokens": 61, "completion_tokens": 190, "total_tokens": 251}, "error": null, "prior_errors": 0, "t0": 1793305622.722, "t1": 1793305693.725, "s": 71.0} +{"seq": 40, "idx": 92, "ok": true, "gold": "4", "reply": "To find out how old Jackson is, we can use the information provided about the ages of the children.\n\n1. **Identify James's age:**\n James is 10 years old.\n\n2. **Find Corey's age:**\n The problem states that James is 1 year younger than Corey.\n If James is 10, then Corey must be $10 + 1 = 11$ years old.\n\n3. **Find Amy's age:**\n The problem states that Amy is 2 years younger than Corey.\n Since Corey is 11, Amy is $11 - 2 = 9$ years old.\n\n4. **Find Jackson's age:**\n The problem states that Amy is 5 years older than Jackson.\n If Amy is 9, then Jackson is $9 - 5 = 4$ years old.\n\n**Verification:**\n- James = 10\n- Corey = 11 (James is 1 year younger than Corey: $11 - 1 = 10$. Correct.)\n- Amy = 9 (Amy is 2 years younger than Corey: $11 - 2 = 9$. Correct.)\n- Jackson = 4 (Amy is 5 years older than Jackson: $4 + 5 = 9$. Correct.)\n\nAnswer: 4", "usage": {"prompt_tokens": 80, "completion_tokens": 296, "total_tokens": 376}, "error": null, "prior_errors": 0, "t0": 1793305606.717, "t1": 1793305717.35, "s": 110.63} +{"seq": 41, "idx": 97, "ok": true, "gold": "12", "reply": "To find out how many tomatoes Freda used, we can follow these steps:\n\n1. **Determine the volume of tomatoes used before cooking:**\n The problem states that the tomatoes lose half their volume when cooked into sauce.\n Let $V$ be the initial volume of tomatoes.\n $\\frac{1}{2} V = 32 \\text{ ounces (the final sauce volume)}$\n $V = 32 \\times 2 = 64 \\text{ ounces}$\n\n2. **Determine how many cans were used:**\n Each can contains 16 ounces of tomatoes.\n Number of cans = $\\frac{\\text{Total initial volume}}{\\text{Volume per can}}$\n Number of cans = $\\frac{64 \\text{ ounces}}{16 \\text{ ounces/can}} = 4 \\text{ cans}$\n\n3. **Determine the total number of tomatoes used:**\n Each 16-ounce can contains 3 tomatoes.\n Total tomatoes = $\\text{Number of cans} \\times \\text{tomatoes per can}$\n Total tomatoes = $4 \\text{ cans} \\times 3 \\text{ tomatoes/can} = 12 \\text{ tomatoes}$\n\nAnswer: 12", "usage": {"prompt_tokens": 84, "completion_tokens": 271, "total_tokens": 355}, "error": null, "prior_errors": 0, "t0": 1793305625.223, "t1": 1793305725.406, "s": 100.18} +{"seq": 42, "idx": 98, "ok": true, "gold": "5", "reply": "To find out how many cars drove through the traffic jam in the first 15 minutes, we can follow these steps:\n\n1. **Identify the total number of cars involved:** There were originally 30 cars on the motorway.\n2. **Account for the cars that left the line:** 5 cars took an exit, meaning they did not drive through the traffic jam.\n $30 - 5 = 25$ cars remaining to drive through the jam.\n3. **Identify the cars that drove through in the second period:** 20 cars drove through in the remaining 15 minutes.\n4. **Calculate the cars that drove through in the first period:** Subtract the cars from the second period from the total number of cars that drove through the jam.\n $25 - 20 = 5$ cars.\n\nAlternatively, we can look at the total flow:\nTotal cars that drove through = Original cars - Exit cars\nTotal cars that drove through = $30 - 5 = 25$\nCars in first 15 mins = Total cars that drove through - Cars in last 15 mins\nCars in first 15 mins = $25 - 20 = 5$\n\nAnswer: 5", "usage": {"prompt_tokens": 124, "completion_tokens": 270, "total_tokens": 394}, "error": null, "prior_errors": 0, "t0": 1793305627.724, "t1": 1793305727.42, "s": 99.7} +{"seq": 43, "idx": 94, "ok": true, "gold": "348", "reply": "To find the total number of pets in the neighborhood, we need to determine the number of dogs, cats, and rabbits.\n\n1. **Find the number of dogs:**\n The problem states there are 60 dogs.\n $\\text{Dogs} = 60$\n\n2. **Find the number of cats:**\n The problem states there are two cats for every dog.\n $\\text{Cats} = 2 \\times \\text{Dogs} = 2 \\times 60 = 120$\n\n3. **Find the number of rabbits:**\n The number of rabbits is twelve less than the combined number of dogs and cats.\n $\\text{Combined (Dogs + Cats)} = 60 + 120 = 180$\n $\\text{Rabbits} = 180 - 12 = 168$\n\n4. **Find the total number of pets:**\n The total number of pets is the sum of dogs, cats, and rabbits.\n $\\text{Total} = \\text{Dogs} + \\text{Cats} + \\text{Rabbits}$\n $\\text{Total} = 60 + 120 + 168$\n $\\text{Total} = 180 + 168 = 348$\n\nAnswer: 348", "usage": {"prompt_tokens": 80, "completion_tokens": 304, "total_tokens": 384}, "error": null, "prior_errors": 0, "t0": 1793305615.72, "t1": 1793305729.052, "s": 113.33} +{"seq": 44, "idx": 85, "ok": false, "gold": "44", "reply": "To find the total number of quilt blocks, we need to determine how many years Gene has been vacationing and how many vacations he has taken in total.\n\n1. **Calculate the number of years he has been vacationing:**\n He started vacationing at age 23 and is now 34.\n Number of years = $34 - 23 + 1$ (since he is currently in the 34th year and it counts as a year of vacationing).\n Wait, let's look at the wording: \"He has been vacationing since he was 23... He is now 34.\"\n If he was 23 when he started, the years are: 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34.\n Total years = $34 - 23 + 1 = 12$ years.\n\n2. **Calculate the number of vacations per year:**\n He goes on 4 vacations a year.\n\n3. **Calculate the total number of blocks:**\n Since each shirt is one block and he has one shirt from each vacation:\n Total blocks = (Number of years) \u00d7 (Vacations per year)\n Total blocks = $12 \\times 4 = 48$.\n\nAlternatively, if the calculation was $34 - 23 = 11$ years, the total would be $11 \\times 4 = 44$. However, in age-based problems, \"since he was 23\" and \"he is now 34\" implies he has completed the 23rd year and is currently in the 34th year. The number of years elapsed is $34 - 23 = 11$ full years, but he has also had the vacations for the current year. \nLet's re-verify:\nAge 23: 4 vacations\nAge 24: 4 vacations\n...\nAge 34: 4 vacations\nTotal years = $34 - 23 + 1 = 12$ years.\nTotal blocks = $12 \\times 4 = 48$.\n\nAnswer: 48", "usage": {"prompt_tokens": 113, "completion_tokens": 507, "total_tokens": 620}, "error": null, "prior_errors": 0, "t0": 1793305547.202, "t1": 1793305734.172, "s": 186.97} +{"seq": 45, "idx": 95, "ok": true, "gold": "40", "reply": "To find the number of girls who are not in the girl scout, we follow these steps:\n\n1. **Find the number of boys:**\n The total number of students is 200.\n The fraction of boys is $2/5$.\n Number of boys = $200 \\times \\frac{2}{5} = 40 \\times 2 = 80$.\n\n2. **Find the number of girls:**\n Number of girls = Total students - Number of boys\n Number of girls = $200 - 80 = 120$.\n\n3. **Find the number of girls in the girl scout:**\n The fraction of girls in the girl scout is $2/3$.\n Number of girls in the girl scout = $120 \\times \\frac{2}{3} = 40 \\times 2 = 80$.\n\n4. **Find the number of girls not in the girl scout:**\n Number of girls not in the girl scout = Total girls - Girls in the girl scout\n Number of girls not in the girl scout = $120 - 80 = 40$.\n\n**Alternative method for step 3 and 4:**\nIf $2/3$ of the girls are in the girl scout, then $1 - 2/3 = 1/3$ of the girls are not in the girl scout.\nNumber of girls not in the girl scout = $120 \\times \\frac{1}{3} = 40$.\n\nAnswer: 40", "usage": {"prompt_tokens": 71, "completion_tokens": 343, "total_tokens": 414}, "error": null, "prior_errors": 0, "t0": 1793305617.22, "t1": 1793305745.083, "s": 127.86} +{"seq": 46, "idx": 99, "ok": true, "gold": "58", "reply": "To find out how many potted plants Mary will have left, we can follow these steps:\n\n1. **Calculate the initial number of plants on the window ledges:**\n Mary has 40 window ledges, and each ledge has 2 plants.\n $40 \\times 2 = 80$ plants.\n\n2. **Calculate the total number of plants Mary has before giving any away:**\n She had 80 plants on the ledges and received 18 new plants.\n $80 + 18 = 98$ plants.\n\n3. **Calculate how many plants she will give away:**\n She decides to give 1 plant from each of the 40 ledges to friends and family.\n $40 \\times 1 = 40$ plants.\n\n4. **Calculate the remaining number of plants:**\n Subtract the plants given away from the total number of plants.\n $98 - 40 = 58$ plants.\n\nAlternatively, we can look at the ledges first:\n- Initial plants on ledges: $40 \\times 2 = 80$\n- Plants remaining on ledges after giving one away from each: $40 \\times (2 - 1) = 40$\n- New plants added: 18\n- Total remaining: $40 + 18 = 58$\n\nAnswer: 58", "usage": {"prompt_tokens": 106, "completion_tokens": 314, "total_tokens": 420}, "error": null, "prior_errors": 0, "t0": 1793305632.225, "t1": 1793305749.124, "s": 116.9} +{"seq": 47, "idx": 101, "ok": true, "gold": "6", "reply": "To find out how many pages Solo needs to read on average per day, we first need to calculate the total number of pages he was assigned and then determine how many pages are left to read.\n\n**Step 1: Calculate the total number of pages.**\n- Science: 4 pages\n- Social Studies: 20 pages\n- History: 7 pages\n- Geography: 8 pages\n\nTotal pages = $4 + 20 + 7 + 8 = 39$ pages.\n\n**Step 2: Calculate the remaining pages after Monday.**\nSolo read 15 pages on Monday.\nRemaining pages = Total pages - Pages read\nRemaining pages = $39 - 15 = 24$ pages.\n\n**Step 3: Calculate the average pages per day for the remaining days.**\nHe has 4 more days to complete the reading.\nAverage pages per day = Remaining pages / Number of days\nAverage pages per day = $24 / 4 = 6$ pages.\n\nAnswer: 6", "usage": {"prompt_tokens": 106, "completion_tokens": 220, "total_tokens": 326}, "error": null, "prior_errors": 0, "t0": 1793305680.235, "t1": 1793305763.616, "s": 83.38} +{"seq": 48, "idx": 105, "ok": true, "gold": "20", "reply": "To find the total number of cookies eaten by both Cody and Amir, follow these steps:\n\n1. **Determine how many cookies Amir eats:**\n Amir eats 5 cookies.\n\n2. **Determine how many cookies Cody eats:**\n Cody eats three times as many as Amir.\n $5 \\times 3 = 15$ cookies.\n\n3. **Calculate the total number of cookies eaten together:**\n Add Amir's cookies and Cody's cookies.\n $5 + 15 = 20$ cookies.\n\nAnswer: 20", "usage": {"prompt_tokens": 60, "completion_tokens": 127, "total_tokens": 187}, "error": null, "prior_errors": 0, "t0": 1793305717.744, "t1": 1793305766.602, "s": 48.86} +{"seq": 49, "idx": 62, "ok": false, "gold": "25000", "reply": "To find Marcy's annual pension after 30 years, we need to calculate the base pension and the additional amount she earns based on the rules provided.\n\n1. **Determine the base pension value:**\n The full pension for 40 years of work is $50,000.\n Since she worked for 30 years, we first determine the proportional value of her pension based on the 40-year benchmark.\n Base Pension = $\\frac{30}{40} \\times \\$50,000 = \\$37,500$.\n\n2. **Determine the additional entitlement:**\n The problem states that starting after 20 years, she becomes entitled to 5% of the value of the pension per year.\n She worked for 30 years, so she has completed 10 years of this \"extra\" period (from year 21 to year 30).\n \n However, the wording \"5% of the value of the pension per year\" implies that for every year worked beyond the 20-year mark, she earns an additional 5% of the base pension value.\n \n Let's re-evaluate the structure:\n - Full 40-year pension = $50,000.\n - If she works 30 years, her base pension (pro-rated) is $37,500.\n - The \"extra\" benefit starts after 20 years. She has worked 10 years beyond the 20-year mark.\n - The bonus is 5% of the pension value per year.\n \n Wait, let's look at the logic again. If she works 40 years, she gets $50,000.\n If she works 20 years, she gets $0 extra.\n If she works 40 years, she has 20 years of \"extra\" time.\n If the rule is 5% per year for years > 20:\n At 40 years, she has 20 years of extra time. $20 \\times 5\\% = 100\\%$.\n This would mean her pension is $Base + 100\\% \\text{ of } Base$. But the problem says the 40-year pension *is* $50,000.\n \n Let's re-read: \"If Marcy works... for 40 years, she gets... $50,000/year. Starting after 20 years, she becomes entitled to 5% of the value of the pension per year.\"\n This implies the $50,000 is the target.\n If she works 40 years:\n Base (pro-rated) = $\\frac{40}{40} \\times 50,000 = 50,000$.\n Extra = 20 years $\\times$ 5% of $50,000 = 1.00 \\times 50,000 = 50,000$.\n Total = $100,000. This contradicts the first sentence.\n \n **Alternative Interpretation:**\n The $50,000 is the final amount for 40 years. The 5% rule is how that $50,000 is built.\n Let $P$ be the base pension for 20 years.\n After 20 years, she gets $P$ plus 5% of $P$ for every year after.\n At 40 years: $P + (20 \\times 0.05P) = P + 1P = 2P$.\n If $2P = 50,000$, then $P = 25,000$.\n \n Now, calculate for 30 years:\n Base (for 20 years) = $25,000.\n Extra (for 10 years) = $10 \\times (0.05 \\times 25,000) = 10 \\times 1,250 = 12,500$.\n Total = $25,000 + 12,500 = 37,500$.\n \n **Let's check the proportionality:**\n If 40 years = $50,000 and 30 years = $37,500, the ratio is $37,500/50,", "usage": {"prompt_tokens": 97, "completion_tokens": 1024, "total_tokens": 1121}, "error": null, "prior_errors": 0, "t0": 1793305399.659, "t1": 1793305777.409, "s": 377.75} +{"seq": 50, "idx": 87, "ok": true, "gold": "9360", "reply": "To find Sylvie's annual salary after three more years of service, we follow these steps:\n\n1. **Determine the initial monthly salary and the annual increase amount:**\n * Initial monthly salary = $600.\n * The policy states that after five years, the salary increases by 10% of the **initial** salary every year.\n * Annual increase amount = 10% of $600 = $0.10 \\times 600 = $60.\n\n2. **Determine the timeline and the number of increases:**\n * Sylvie just completed 5 years last December.\n * She will work for \"three more years\" (Years 6, 7, and 8).\n * The policy applies to those who have stayed for five years. Since she has already completed 5 years, she will receive the increase at the end of her 6th year, 7th year, and 8th year (or at the start of the subsequent years).\n * Let's track the monthly salary:\n * **Current (End of Year 5):** $600/month.\n * **After 1 more year (End of Year 6):** $600 + $60 = $660/month.\n * **After 2 more years (End of Year 7):** $660 + $60 = $720/month.\n * **After 3 more years (End of Year 8):** $720 + $60 = $780/month.\n\n3. **Calculate the annual salary after three more years:**\n * After three more years of service, her monthly salary will be $780.\n * Annual salary = Monthly salary $\\times$ 12 months.\n * Annual salary = $780 \\times 12$.\n\n4. **Perform the multiplication:**\n * $780 \\times 10 = 7800$\n * $780 \\times 2 = 1560$\n * $7800 + 1560 = 9360$\n\nAlternatively:\n$780 \\times 12 = (800 - 20) \\times 12 = 9600 - 240 = 9360$.\n\nAnswer: 9360", "usage": {"prompt_tokens": 108, "completion_tokens": 553, "total_tokens": 661}, "error": null, "prior_errors": 0, "t0": 1793305581.21, "t1": 1793305788.843, "s": 207.63} +{"seq": 51, "idx": 100, "ok": true, "gold": "175", "reply": "To find the total number of doorbell rings, we need to calculate the number of times each friend pressed the doorbell and then sum them up.\n\n1. **First friend:**\n The problem states the first friend pressed the doorbell **20** times.\n\n2. **Second friend:**\n The second friend pressed the doorbell $1/4$ times more than the first friend.\n First, calculate $1/4$ of the first friend's presses: $20 \\times \\frac{1}{4} = 5$.\n Add this to the first friend's presses: $20 + 5 = 25$.\n So, the second friend pressed the doorbell **25** times.\n\n3. **Fourth friend:**\n The problem states the fourth friend pressed the doorbell **60** times.\n\n4. **Third friend:**\n The third friend pressed the doorbell 10 times more than the fourth friend.\n $60 + 10 = 70$.\n So, the third friend pressed the doorbell **70** times.\n\n5. **Total doorbell rings:**\n Sum the presses from all four friends:\n $20$ (1st friend) + $25$ (2nd friend) + $70$ (3rd friend) + $60$ (4th friend)\n $20 + 25 = 45$\n $45 + 70 = 115$\n $115 + 60 = 175$\n\nThe total number of doorbell rings is 175.\n\nAnswer: 175", "usage": {"prompt_tokens": 119, "completion_tokens": 361, "total_tokens": 480}, "error": null, "prior_errors": 0, "t0": 1793305662.231, "t1": 1793305798.045, "s": 135.81} +{"seq": 52, "idx": 103, "ok": true, "gold": "140", "reply": "To find out how many minutes it will take for the fog bank to cover the whole city, we can follow these steps:\n\n1. **Identify the rate of coverage:** The fog bank covers 3 miles every 10 minutes.\n2. **Identify the total distance to be covered:** The city is 42 miles across.\n3. **Calculate how many 3-mile segments are in the 42-mile distance:**\n $$42 \\text{ miles} \\div 3 \\text{ miles/segment} = 14 \\text{ segments}$$\n4. **Calculate the total time:** Since each 3-mile segment takes 10 minutes, we multiply the number of segments by the time per segment:\n $$14 \\text{ segments} \\times 10 \\text{ minutes/segment} = 140 \\text{ minutes}$$\n\nAlternatively, you can find the rate per mile:\nRate = $10 \\text{ minutes} / 3 \\text{ miles} = 3.333... \\text{ minutes per mile}$.\nTotal time = $42 \\text{ miles} \\times (10/3) \\text{ minutes/mile} = 14 \\times 10 = 140 \\text{ minutes}$.\n\nAnswer: 140", "usage": {"prompt_tokens": 93, "completion_tokens": 290, "total_tokens": 383}, "error": null, "prior_errors": 0, "t0": 1793305692.738, "t1": 1793305801.978, "s": 109.24} +{"seq": 53, "idx": 104, "ok": true, "gold": "500", "reply": "To find out how many jigsaw pieces are left to be placed, we follow these steps:\n\n1. **Identify the total number of pieces:**\n Total pieces = 1000\n\n2. **Calculate how many pieces Poppy places:**\n Poppy places a quarter of the pieces.\n $1000 \\times \\frac{1}{4} = 250$ pieces.\n\n3. **Calculate the remaining pieces after Poppy's turn:**\n Remaining pieces = $1000 - 250 = 750$ pieces.\n\n4. **Calculate how many pieces her mom places:**\n Her mom places a third of the *remaining* pieces.\n $750 \\times \\frac{1}{3} = 250$ pieces.\n\n5. **Calculate the final number of pieces left to be placed:**\n Pieces left = $750 - 250 = 500$ pieces.\n\nAlternatively, we can look at the remaining fraction:\nAfter Poppy, $\\frac{3}{4}$ remain.\nAfter Mom, $\\frac{2}{3}$ of that $\\frac{3}{4}$ remain.\n$\\frac{2}{3} \\times \\frac{3}{4} = \\frac{2}{4} = \\frac{1}{2}$\n$1000 \\times \\frac{1}{2} = 500$.\n\nAnswer: 500", "usage": {"prompt_tokens": 76, "completion_tokens": 321, "total_tokens": 397}, "error": null, "prior_errors": 0, "t0": 1793305693.739, "t1": 1793305813.922, "s": 120.18} +{"seq": 54, "idx": 89, "ok": true, "gold": "24", "reply": "To find out how much Christina will spend, we need to calculate the number of gift bags she needs to buy and then multiply that by the cost per bag.\n\n1. **Determine the number of guests expected to attend:**\n Christina invited 16 friends. However, she plans for 1/4 of them not to show up.\n Number of guests who won't show up: $16 \\times \\frac{1}{4} = 4$\n Number of guests attending: $16 - 4 = 12$\n\n2. **Determine the number of gift bags needed:**\n The problem states she needs .75 gift bags per invited guest. \n *Note: Usually, \"per invited guest\" implies the calculation is based on the 16 people invited, but the context of the .75 rate (accounting for the 1/4 no-shows) suggests the calculation is based on the expected attendance.*\n \n Let's look at the wording: \".75 gift bags per invited guest, because 1/4 of attendees don't show up.\"\n If we use the 16 invited guests: $16 \\times 0.75 = 12$ bags.\n If we use the 12 expected guests: $12 \\times 0.75 = 9$ bags.\n \n Re-reading: \"She needs .75 gift bags per invited guest... She invited 16 friends.\"\n Calculation: $16 \\times 0.75 = 12$ gift bags.\n (This makes sense because if 12 people show up, she has exactly 1 bag per person if she bought 12 bags).\n\n3. **Calculate the total cost:**\n Number of bags = 12\n Price per bag = $2\n Total cost = $12 \\times 2 = 24$\n\nAlternatively, if the \"per invited guest\" was meant to be the base for the 1/4 reduction:\n$16 \\text{ guests} \\times 0.75 = 12 \\text{ bags}$.\nCost = $12 \\times \\$2 = \\$24$.\n\nIf the calculation was $16 \\times (1 - 1/4) \\times 0.75$ it would be $12 \\times 0.75 = 9$. However, the phrasing \".75 gift bags per invited guest\" specifically points to using the number of invited guests (16) as the multiplier.\n\n$16 \\times 0.75 = 12$\n$12 \\times 2 = 24$\n\nAnswer: 24", "usage": {"prompt_tokens": 79, "completion_tokens": 591, "total_tokens": 670}, "error": null, "prior_errors": 0, "t0": 1793305594.213, "t1": 1793305816.426, "s": 222.21} +{"seq": 55, "idx": 113, "ok": true, "gold": "25", "reply": "To find the total number of flowers Ryan has, we can follow these steps:\n\n1. **Calculate the total number of flowers planted:**\n Ryan plants 2 flowers every day for 15 days.\n $2 \\text{ flowers/day} \\times 15 \\text{ days} = 30 \\text{ flowers planted}$\n\n2. **Subtract the flowers that did not grow:**\n Out of the 30 flowers planted, 5 did not grow.\n $30 \\text{ flowers} - 5 \\text{ flowers} = 25 \\text{ flowers}$\n\nRyan has 25 flowers.\n\nAnswer: 25", "usage": {"prompt_tokens": 59, "completion_tokens": 147, "total_tokens": 206}, "error": null, "prior_errors": 0, "t0": 1793305766.757, "t1": 1793305822.145, "s": 55.39} +{"seq": 56, "idx": 110, "ok": true, "gold": "45", "reply": "To find the average number of fruit roll-ups eaten, we first need to calculate the total number of roll-ups eaten by Beatrice and Marcell individually.\n\n1. **Calculate Beatrice's total:**\n Beatrice's roll-ups were 2 wide and 24 long.\n Total for Beatrice = $2 \\times 24 = 48$ roll-ups.\n\n2. **Calculate Marcell's total:**\n Marcell's roll-ups were 3 wide and 14 long.\n Total for Marcell = $3 \\times 14 = 42$ roll-ups.\n\n3. **Calculate the combined total:**\n Total eaten = $48 + 42 = 90$ roll-ups.\n\n4. **Calculate the average:**\n Since there are two people (Beatrice and Marcell), we divide the total by 2.\n Average = $\\frac{90}{2} = 45$ roll-ups.\n\nAnswer: 45", "usage": {"prompt_tokens": 119, "completion_tokens": 224, "total_tokens": 343}, "error": null, "prior_errors": 0, "t0": 1793305745.251, "t1": 1793305829.984, "s": 84.73} +{"seq": 57, "idx": 112, "ok": true, "gold": "24", "reply": "To find the total number of times the whiteboard is cleaned in a day, we can follow these steps:\n\n1. **Determine the total number of lessons per day:**\n There are 4 teachers, and each teacher has 2 lessons per day.\n Total lessons = 4 teachers \u00d7 2 lessons/teacher = 8 lessons per day.\n\n2. **Determine the total number of times the whiteboard is used:**\n Since each teacher uses the whiteboard in each of their lessons, the number of times the whiteboard is used is equal to the total number of lessons.\n Total uses = 8 lessons.\n\n3. **Calculate the total number of cleanings:**\n The whiteboard is cleaned 3 times per lesson.\n Total cleanings = 8 lessons \u00d7 3 cleanings/lesson = 24 cleanings.\n\nAnswer: 24", "usage": {"prompt_tokens": 87, "completion_tokens": 185, "total_tokens": 272}, "error": null, "prior_errors": 0, "t0": 1793305763.756, "t1": 1793305833.793, "s": 70.04} +{"seq": 58, "idx": 109, "ok": true, "gold": "28", "reply": "To find the total cost of the gas after the cashback rewards, we can follow these steps:\n\n1. **Calculate the initial cost of the gas:**\n The price per gallon is $3.00.\n For 10 gallons, the cost is:\n $10 \\text{ gallons} \\times \\$3.00/\\text{gallon} = \\$30.00$\n\n2. **Calculate the total cashback earned:**\n The cashback is $0.20 per gallon.\n For 10 gallons, the cashback is:\n $10 \\text{ gallons} \\times \\$0.20/\\text{gallon} = \\$2.00$\n\n3. **Calculate the final cost after the cashback:**\n Subtract the cashback from the initial cost:\n $\\$30.00 - \\$2.00 = \\$28.00$\n\nAlternatively, you can calculate the net price per gallon first:\nNet price per gallon = $\\$3.00 - \\$0.20 = \\$2.80$\nTotal cost = $10 \\text{ gallons} \\times \\$2.80/\\text{gallon} = \\$28.00$\n\nAnswer: 28.00", "usage": {"prompt_tokens": 88, "completion_tokens": 276, "total_tokens": 364}, "error": null, "prior_errors": 0, "t0": 1793305734.249, "t1": 1793305838.457, "s": 104.21} +{"seq": 59, "idx": 106, "ok": true, "gold": "72", "reply": "To find the total inner volume of all 3 boxes, we first need to determine the inner dimensions of a single box.\n\n1. **Identify the outer dimensions of one box:**\n Length ($L$) = 5 inches\n Width ($W$) = 6 inches\n Height ($H$) = 4 inches\n\n2. **Identify the thickness of the walls:**\n Thickness ($t$) = 1 inch\n\n3. **Calculate the inner dimensions of one box:**\n The walls exist on all sides. For each dimension, the wall thickness must be subtracted from both ends (e.g., left and right, front and back, top and bottom).\n Inner Length ($l$) = $L - 2t = 5 - 2(1) = 5 - 2 = 3$ inches\n Inner Width ($w$) = $W - 2t = 6 - 2(1) = 6 - 2 = 4$ inches\n Inner Height ($h$) = $H - 2t = 4 - 2(1) = 4 - 2 = 2$ inches\n\n4. **Calculate the inner volume of one box:**\n Inner Volume ($v$) = $l \\times w \\times h$\n $v = 3 \\times 4 \\times 2 = 24$ cubic inches\n\n5. **Calculate the total inner volume of all 3 boxes:**\n Total Volume ($V_{total}$) = $3 \\times v$\n $V_{total} = 3 \\times 24 = 72$ cubic inches\n\nAnswer: 72", "usage": {"prompt_tokens": 73, "completion_tokens": 357, "total_tokens": 430}, "error": null, "prior_errors": 0, "t0": 1793305725.746, "t1": 1793305860.621, "s": 134.88} +{"seq": 60, "idx": 107, "ok": true, "gold": "3", "reply": "To find out how many 30-minute episodes Frankie watched on Wednesday, we first need to calculate the total amount of TV time he watched on the other days.\n\n1. **Monday and Tuesday:**\n He watched one 1-hour episode each night.\n $1 \\text{ hour} + 1 \\text{ hour} = 2 \\text{ hours}$\n\n2. **Thursday:**\n He watched one 1-hour episode and one 30-minute episode.\n $1 \\text{ hour} + 0.5 \\text{ hours} = 1.5 \\text{ hours}$\n\n3. **Friday:**\n He watched two 1-hour episodes.\n $1 \\text{ hour} + 1 \\text{ hour} = 2 \\text{ hours}$\n\n4. **Total time for Monday, Tuesday, Thursday, and Friday:**\n $2 \\text{ hours} + 1.5 \\text{ hours} + 2 \\text{ hours} = 5.5 \\text{ hours}$\n\n5. **Calculate the time spent watching TV on Wednesday:**\n The total time for the week was 7 hours.\n $7 \\text{ hours} - 5.5 \\text{ hours} = 1.5 \\text{ hours}$\n\n6. **Calculate the number of 30-minute episodes watched on Wednesday:**\n Each episode on Wednesday was 30 minutes (0.5 hours).\n $1.5 \\text{ hours} \\div 0.5 \\text{ hours/episode} = 3 \\text{ episodes}$\n\nAnswer: 3", "usage": {"prompt_tokens": 150, "completion_tokens": 363, "total_tokens": 513}, "error": null, "prior_errors": 0, "t0": 1793305727.747, "t1": 1793305865.111, "s": 137.36} +{"seq": 61, "idx": 108, "ok": true, "gold": "50", "reply": "To find out how many cookies Henry baked last year, we can set up an equation based on the information provided.\n\n1. **Define the variable:**\n Let $x$ be the number of cookies Henry baked last year.\n\n2. **Translate the statements into mathematical expressions:**\n * \"He wants to make twice as many as he did last year\": This means his target was $2x$.\n * \"He actually baked 15 more cookies than he meant to\": This means the total number of cookies baked was $2x + 15$.\n * \"He drops 5 of his cookies\": This means we subtract 5 from the total baked.\n * \"Now has a total of 110 cookies\": This is the final amount.\n\n3. **Set up the equation:**\n $(2x + 15) - 5 = 110$\n\n4. **Solve the equation:**\n Simplify the left side:\n $2x + 10 = 110$\n\n Subtract 10 from both sides:\n $2x = 100$\n\n Divide by 2:\n $x = 50$\n\n5. **Verify the result:**\n * Last year: 50 cookies.\n * Target (twice last year): $50 \\times 2 = 100$ cookies.\n * Actually baked (15 more than target): $100 + 15 = 115$ cookies.\n * After dropping 5: $115 - 5 = 110$ cookies.\n The result matches the problem statement.\n\nAnswer: 50", "usage": {"prompt_tokens": 109, "completion_tokens": 380, "total_tokens": 489}, "error": null, "prior_errors": 0, "t0": 1793305729.248, "t1": 1793305872.319, "s": 143.07} +{"seq": 62, "idx": 117, "ok": true, "gold": "360", "reply": "To find the total amount John paid, we can follow these steps:\n\n1. **Determine the total number of pairs of shoes:**\n John has 3 children, and he buys 2 pairs for each child.\n $3 \\text{ children} \\times 2 \\text{ pairs/child} = 6 \\text{ pairs of shoes}$\n\n2. **Calculate the total cost:**\n Each pair costs $60.\n $6 \\text{ pairs} \\times \\$60/\\text{pair} = \\$360$\n\nAlternatively, you can calculate the cost per child first:\n1. **Cost per child:**\n $2 \\text{ pairs} \\times \\$60 = \\$120$\n2. **Total cost for 3 children:**\n $\\$120 \\times 3 = \\$360$\n\nAnswer: 360", "usage": {"prompt_tokens": 59, "completion_tokens": 197, "total_tokens": 256}, "error": null, "prior_errors": 0, "t0": 1793305802.266, "t1": 1793305876.495, "s": 74.23} +{"seq": 63, "idx": 116, "ok": true, "gold": "42", "reply": "To find the number of teaspoons of sugar used, we follow these steps:\n\n1. **Identify the ratio and the total amount:**\n The ratio of sugar to water is $7:13$.\n The total number of parts in the ratio is $7 + 13 = 20$ parts.\n The total amount of sugar and water combined is $120$ units.\n\n2. **Calculate the value of one \"part\":**\n To find the value of a single part, divide the total amount by the total number of parts:\n $$\\text{Value of one part} = \\frac{120}{20} = 6$$\n\n3. **Calculate the amount of sugar:**\n Since the ratio of sugar is $7$ parts, multiply the value of one part by $7$:\n $$\\text{Sugar} = 7 \\times 6 = 42$$\n\n4. **Verify the result (optional):**\n Calculate the amount of water: $13 \\times 6 = 78$.\n Check the total: $42 + 78 = 120$. The total matches the problem statement.\n\nThe number of teaspoons of sugar used is 42.\n\nAnswer: 42", "usage": {"prompt_tokens": 81, "completion_tokens": 277, "total_tokens": 358}, "error": null, "prior_errors": 0, "t0": 1793305798.264, "t1": 1793305901.604, "s": 103.34} +{"seq": 64, "idx": 118, "ok": true, "gold": "4", "reply": "To find the number of containers imported on the second day, we can follow these steps:\n\n1. **Calculate the number of vehicles imported on the first day:**\n There were 2 containers, and each contained 5 vehicles.\n $2 \\text{ containers} \\times 5 \\text{ vehicles/container} = 10 \\text{ vehicles}$.\n\n2. **Calculate the number of vehicles imported on the second day:**\n The total number of vehicles became 30. To find the number of vehicles added on the second day, subtract the first day's vehicles from the total.\n $30 \\text{ total vehicles} - 10 \\text{ first day vehicles} = 20 \\text{ vehicles}$.\n\n3. **Calculate the number of containers imported on the second day:**\n Since each container contains 5 vehicles, divide the number of vehicles imported on the second day by the number of vehicles per container.\n $20 \\text{ vehicles} \\div 5 \\text{ vehicles/container} = 4 \\text{ containers}$.\n\nAnswer: 4", "usage": {"prompt_tokens": 101, "completion_tokens": 239, "total_tokens": 340}, "error": null, "prior_errors": 0, "t0": 1793305814.268, "t1": 1793305904.363, "s": 90.09} +{"seq": 65, "idx": 120, "ok": true, "gold": "240", "reply": "To find out how many sheets of paper Miguel uses every month, we follow these steps:\n\n1. **Calculate the number of sheets used per week:**\n Miguel uses 2 pads of paper per week. Each pad has 30 sheets.\n $2 \\text{ pads} \\times 30 \\text{ sheets/pad} = 60 \\text{ sheets per week}$\n\n2. **Calculate the number of sheets used per month:**\n Standard mathematical problems of this type typically assume a month consists of 4 weeks unless otherwise specified.\n $60 \\text{ sheets/week} \\times 4 \\text{ weeks/month} = 240 \\text{ sheets per month}$\n\n(Note: If the problem implies a standard calendar month of approximately 4.33 weeks, the calculation would be $60 \\times 4.33 = 259.8$. However, in basic word problems, a month is almost always treated as 4 weeks.)\n\nAnswer: 240", "usage": {"prompt_tokens": 68, "completion_tokens": 223, "total_tokens": 291}, "error": null, "prior_errors": 0, "t0": 1793305822.271, "t1": 1793305905.836, "s": 83.57} +{"seq": 66, "idx": 121, "ok": true, "gold": "27", "reply": "To find the total number of fruits, we first calculate the number of fruits brought by each person.\n\n**1. Calculate the fruits brought by Morisette:**\n* Apples: 5\n* Oranges: 8\n* Total for Morisette: $5 + 8 = 13$\n\n**2. Calculate the fruits brought by Kael:**\n* Kael brought twice the amount of apples as Morisette: $5 \\times 2 = 10$ apples.\n* Kael brought half the number of oranges as Morisette: $8 \\div 2 = 4$ oranges.\n* Total for Kael: $10 + 4 = 14$\n\n**3. Calculate the total number of fruits:**\n* Total = Morisette's fruits + Kael's fruits\n* Total = $13 + 14 = 27$\n\nAnswer: 27", "usage": {"prompt_tokens": 80, "completion_tokens": 203, "total_tokens": 283}, "error": null, "prior_errors": 0, "t0": 1793305830.273, "t1": 1793305906.532, "s": 76.26} +{"seq": 67, "idx": 111, "ok": true, "gold": "16", "reply": "To find out how much water the boat took on, we need to determine the total distance Julia rowed and then calculate the water intake based on that distance.\n\n**Step 1: Determine the total distance rowed.**\nWe know the following about her rowing speed:\n- It takes 16 seconds to row 20 feet.\n- The shore is 64 seconds away.\n\nFirst, we find how many 16-second intervals are in 64 seconds:\n$64 \\text{ seconds} / 16 \\text{ seconds} = 4 \\text{ intervals}$\n\nSince each interval represents rowing 20 feet, we multiply the number of intervals by the distance per interval:\n$4 \\times 20 \\text{ feet} = 80 \\text{ feet}$\n\nSo, the total distance to the shore is 80 feet.\n\n**Step 2: Determine the water intake rate.**\nThe problem states the boat takes on 2 liters of water for every 10 feet rowed.\n$\\text{Rate} = 2 \\text{ liters} / 10 \\text{ feet} = 0.2 \\text{ liters per foot}$\n\n**Step 3: Calculate the total water taken on.**\nMultiply the total distance by the water intake rate:\n$\\text{Total water} = 80 \\text{ feet} \\times (2 \\text{ liters} / 10 \\text{ feet})$\n$\\text{Total water} = 80 \\times 0.2$\n$\\text{Total water} = 16 \\text{ liters}$\n\nAlternatively:\n$\\text{Total water} = (80 \\text{ feet} / 10 \\text{ feet}) \\times 2 \\text{ liters}$\n$\\text{Total water} = 8 \\times 2 \\text{ liters} = 16 \\text{ liters}$\n\nAnswer: 16", "usage": {"prompt_tokens": 98, "completion_tokens": 420, "total_tokens": 518}, "error": null, "prior_errors": 0, "t0": 1793305749.253, "t1": 1793305907.379, "s": 158.13} +{"seq": 68, "idx": 126, "ok": true, "gold": "82", "reply": "To find the total number of sausages Dylan bought, we need to follow these steps:\n\n1. **Find the number of chicken sausages:**\n Dylan bought 38 chicken sausages.\n\n2. **Find the number of fish sausages:**\n The problem states he bought 6 more fish sausages than chicken sausages.\n Number of fish sausages = 38 + 6 = 44.\n\n3. **Find the total number of sausages:**\n Total sausages = Chicken sausages + Fish sausages\n Total sausages = 38 + 44\n\n Calculation:\n 38 + 44 = 82\n\nDylan bought 82 sausages in all.\n\nAnswer: 82", "usage": {"prompt_tokens": 70, "completion_tokens": 152, "total_tokens": 222}, "error": null, "prior_errors": 0, "t0": 1793305872.784, "t1": 1793305930.199, "s": 57.42} +{"seq": 69, "idx": 127, "ok": true, "gold": "120", "reply": "To find the total number of friends Lily and Amy have together, we follow these steps:\n\n1. **Find the number of friends Lily has:**\n Lily has 50 friends.\n\n2. **Find the number of friends Amy has:**\n Amy made 20 more friends than Lily.\n Amy's friends = Lily's friends + 20\n Amy's friends = 50 + 20 = 70\n\n3. **Find the total number of friends:**\n Total friends = Lily's friends + Amy's friends\n Total friends = 50 + 70 = 120\n\nAnswer: 120", "usage": {"prompt_tokens": 64, "completion_tokens": 149, "total_tokens": 213}, "error": null, "prior_errors": 0, "t0": 1793305876.785, "t1": 1793305932.994, "s": 56.21} +{"seq": 70, "idx": 114, "ok": true, "gold": "6", "reply": "To find the number of ducks in Jamal's photograph, we can follow these steps:\n\n1. **Determine the capacity of Brittany's phone:**\n We are told that Jamal's phone holds 6 times more photographs than Brittany's phone.\n Let $J$ be the capacity of Jamal's phone and $B$ be the capacity of Brittany's phone.\n $J = 6 \\times B$\n Given $J = 1800$, we can solve for $B$:\n $1800 = 6 \\times B$\n $B = 1800 / 6$\n $B = 300$\n\n2. **Determine the number of birds (ducks) in the photograph:**\n We are told that the maximum number of photographs Brittany's phone can hold ($B$) is 50 times more than the number of birds ($D$) in Jamal's photograph.\n *Note: In mathematical word problems, \"50 times more than\" is often interpreted as $B = 50 \\times D$. If it meant $B = D + 50D$, the phrasing would usually be \"50 times as many as\" or \"50 times more than the number of birds\". Given the context of these types of problems, we use the multiplier.*\n $B = 50 \\times D$\n $300 = 50 \\times D$\n $D = 300 / 50$\n $D = 6$\n\n3. **Verify the steps:**\n - Jamal's phone: 1800\n - Brittany's phone: $1800 / 6 = 300$\n - Number of ducks: $300 / 50 = 6$\n\nThe number of ducks seen in the photograph is 6.\n\nAnswer: 6", "usage": {"prompt_tokens": 116, "completion_tokens": 420, "total_tokens": 536}, "error": null, "prior_errors": 0, "t0": 1793305777.759, "t1": 1793305935.831, "s": 158.07} +{"seq": 71, "idx": 122, "ok": true, "gold": "48", "reply": "To find the total number of hours Sadie slept throughout the week, we calculate the hours for each day step-by-step.\n\n1. **Monday:**\n Sadie slept 8 hours.\n\n2. **Tuesday and Wednesday (the next two days):**\n She slept 2 hours less than Monday each day.\n $8 - 2 = 6$ hours per day.\n Total for these two days: $6 \\times 2 = 12$ hours.\n\n3. **Thursday, Friday, Saturday, and Sunday (the rest of the week):**\n The problem states she slept 1 hour more than \"those two days\" (Tuesday and Wednesday).\n $6 + 1 = 7$ hours per day.\n There are 4 days remaining in the week (Thursday, Friday, Saturday, Sunday).\n Total for these four days: $7 \\times 4 = 28$ hours.\n\n4. **Total for the week:**\n Add the hours from all days together:\n Monday: 8 hours\n Tuesday & Wednesday: 12 hours\n Thursday through Sunday: 28 hours\n $8 + 12 + 28 = 48$ hours.\n\nAnswer: 48", "usage": {"prompt_tokens": 90, "completion_tokens": 278, "total_tokens": 368}, "error": null, "prior_errors": 0, "t0": 1793305834.274, "t1": 1793305939.046, "s": 104.77} +{"seq": 72, "idx": 131, "ok": true, "gold": "940", "reply": "To find the total expenditure for the two months, we first need to calculate the expenditure for June.\n\n1. **Calculate June's expenditure:**\n Joseph's expenditure in May was $500.\n In June, it was $60 less than May.\n June expenditure = $500 - $60 = $440.\n\n2. **Calculate the total expenditure for both months:**\n Total expenditure = May expenditure + June expenditure\n Total expenditure = $500 + $440 = $940.\n\nAnswer: 940", "usage": {"prompt_tokens": 63, "completion_tokens": 129, "total_tokens": 192}, "error": null, "prior_errors": 0, "t0": 1793305906.792, "t1": 1793305955.928, "s": 49.14} +{"seq": 73, "idx": 130, "ok": true, "gold": "30", "reply": "1. **Calculate the number of elves who quit initially:**\n Nissa starts with 60 elves.\n A third of them quit: $60 \\times \\frac{1}{3} = 20$ elves.\n\n2. **Calculate the remaining elves after the first group quits:**\n $60 - 20 = 40$ elves.\n\n3. **Calculate the number of elves left after the second group quits:**\n 10 more elves quit from the remaining 40.\n $40 - 10 = 30$ elves.\n\nThere are 30 elves left.\n\nAnswer: 30", "usage": {"prompt_tokens": 83, "completion_tokens": 142, "total_tokens": 225}, "error": null, "prior_errors": 0, "t0": 1793305906.292, "t1": 1793305960.822, "s": 54.53} +{"seq": 74, "idx": 124, "ok": true, "gold": "10", "reply": "To find out how many letters were in the \"already-stamped\" pile when Jennie began, we can follow these steps:\n\n1. **Identify the initial number of letters needing stamps:**\n There are 60 letters needing stamps.\n\n2. **Calculate how many letters Jennie stamped:**\n Jennie stamps one-third of the letters needing stamps.\n $\\frac{1}{3} \\times 60 = 20$ letters.\n\n3. **Determine the final number of stamped letters:**\n After stamping 20 letters, the total number of already-stamped letters is 30.\n\n4. **Calculate the initial number of stamped letters:**\n The final pile of stamped letters consists of the letters that were already stamped plus the letters Jennie just stamped.\n $\\text{Initial stamped letters} + \\text{Letters Jennie stamped} = \\text{Final stamped letters}$\n $\\text{Initial stamped letters} + 20 = 30$\n\n5. **Solve for the initial number:**\n $\\text{Initial stamped letters} = 30 - 20$\n $\\text{Initial stamped letters} = 10$\n\nAnswer: 10", "usage": {"prompt_tokens": 101, "completion_tokens": 263, "total_tokens": 364}, "error": null, "prior_errors": 0, "t0": 1793305860.78, "t1": 1793305961.202, "s": 100.42} +{"seq": 75, "idx": 123, "ok": true, "gold": "50", "reply": "To find the total number of miles Rosie can run in 7 hours, we need to calculate the distance covered in two separate segments of time.\n\n**Step 1: Calculate the distance for the first 3 hours.**\nRosie runs at a speed of 10 miles per hour for 3 hours.\n$\\text{Distance}_1 = \\text{speed} \\times \\text{time}$\n$\\text{Distance}_1 = 10 \\text{ mph} \\times 3 \\text{ hours} = 30 \\text{ miles}$\n\n**Step 2: Calculate the remaining time.**\nThe total time is 7 hours. She has already run for 3 hours.\n$\\text{Remaining time} = 7 \\text{ hours} - 3 \\text{ hours} = 4 \\text{ hours}$\n\n**Step 3: Calculate the distance for the remaining 4 hours.**\nDuring the remaining time, she runs at a speed of 5 miles per hour.\n$\\text{Distance}_2 = \\text{speed} \\times \\text{time}$\n$\\text{Distance}_2 = 5 \\text{ mph} \\times 4 \\text{ hours} = 20 \\text{ miles}$\n\n**Step 4: Calculate the total distance.**\n$\\text{Total distance} = \\text{Distance}_1 + \\text{Distance}_2$\n$\\text{Total distance} = 30 \\text{ miles} + 20 \\text{ miles} = 50 \\text{ miles}$\n\nAnswer: 50", "usage": {"prompt_tokens": 66, "completion_tokens": 339, "total_tokens": 405}, "error": null, "prior_errors": 0, "t0": 1793305838.776, "t1": 1793305967.313, "s": 128.54} +{"seq": 76, "idx": 125, "ok": true, "gold": "10", "reply": "To find out how many spoons were in the package Julia bought, we can set up an equation based on the information provided.\n\n1. **Identify the variables and knowns:**\n * Let $x$ be the number of spoons in the package Julia bought.\n * The number of spoons her husband bought is 5.\n * The number of spoons used (and thus removed from the total) is 3.\n * The final total number of spoons is 12.\n\n2. **Set up the equation:**\n The total number of spoons is the sum of the package Julia bought and the package her husband bought, minus the spoons used for sampling.\n $$x + 5 - 3 = 12$$\n\n3. **Solve the equation:**\n First, simplify the left side:\n $$x + 2 = 12$$\n Next, subtract 2 from both sides to isolate $x$:\n $$x = 12 - 2$$\n $$x = 10$$\n\n4. **Verify the result:**\n If Julia bought 10 spoons, she had 10. Her husband gave her 5 more, making it 15. She used 3 for sampling, leaving her with $15 - 3 = 12$ spoons. This matches the final count given in the problem.\n\nAnswer: 10", "usage": {"prompt_tokens": 139, "completion_tokens": 306, "total_tokens": 445}, "error": null, "prior_errors": 0, "t0": 1793305865.282, "t1": 1793305981.792, "s": 116.51} +{"seq": 77, "idx": 115, "ok": true, "gold": "90", "reply": "To find the total profit Sasha makes, we need to calculate her total revenue from selling the boards and subtract her initial cost.\n\n**1. Calculate the initial cost:**\nSasha bought:\n- Ten 2 x 4 x 10 boards at $10 each: $10 \\times 10 = \\$100$\n- Five 4 x 4 x 10 boards at $16 each: $5 \\times 16 = \\$80$\nTotal cost = $\\$100 + \\$80 = \\$180$\n\n**2. Calculate the new selling price per board:**\nThe price of lumber has gone up by 50%.\n- For the 2 x 4 x 10 boards:\n New price = $\\$10 + (0.50 \\times \\$10) = \\$10 + \\$5 = \\$15$\n- For the 4 x 4 x 10 boards:\n New price = $\\$16 + (0.50 \\times \\$16) = \\$16 + \\$8 = \\$24$\n\n**3. Calculate the total revenue from selling the boards:**\n- Revenue from 2 x 4 x 10 boards: $10 \\text{ boards} \\times \\$15 = \\$150$\n- Revenue from 4 x 4 x 10 boards: $5 \\text{ boards} \\times \\$24 = \\$120$\nTotal revenue = $\\$150 + \\$120 = \\$270$\n\n**4. Calculate the profit:**\nProfit = Total revenue - Total cost\nProfit = $\\$270 - \\$180 = \\$90$\n\nAlternatively, we can calculate the profit per board:\n- Profit on one 2 x 4 x 10 board: $\\$15 - \\$10 = \\$5$\n- Total profit for ten 2 x 4 x 10 boards: $10 \\times \\$5 = \\$50$\n- Profit on one 4 x 4 x 10 board: $\\$24 - \\$16 = \\$8$\n- Total profit for five 4 x 4 x 10 boards: $5 \\times \\$8 = \\$40$\nTotal profit = $\\$50 + \\$40 = \\$90$\n\nAnswer: 90", "usage": {"prompt_tokens": 122, "completion_tokens": 517, "total_tokens": 639}, "error": null, "prior_errors": 0, "t0": 1793305789.262, "t1": 1793305985.026, "s": 195.76} +{"seq": 78, "idx": 136, "ok": true, "gold": "6", "reply": "To find the number of female Scottish unicorns, we follow these steps:\n\n1. **Find the total number of unicorns in the Scottish Highlands:**\n There are 27 unicorns in total. One third of them are in the Scottish Highlands.\n $27 \\times \\frac{1}{3} = 9$\n So, there are 9 unicorns in the Scottish Highlands.\n\n2. **Find the number of female unicorns in the Scottish Highlands:**\n Two thirds of the Scottish unicorns are female.\n $9 \\times \\frac{2}{3} = \\frac{18}{3} = 6$\n\nThere are 6 female Scottish unicorns.\n\nAnswer: 6", "usage": {"prompt_tokens": 70, "completion_tokens": 151, "total_tokens": 221}, "error": null, "prior_errors": 0, "t0": 1793305939.301, "t1": 1793305996.807, "s": 57.51} +{"seq": 79, "idx": 93, "ok": false, "gold": "36", "reply": "To find out how fast Gerald can run the 400-meter hurdles, we follow these steps:\n\n1. **Determine Lee's original time relative to Gerald's original time:**\n Let $G_{old}$ be the time it took Gerald to run the hurdles before his diet change.\n Let $L$ be the time it takes Lee to run the hurdles.\n We are told Lee used to be 2 seconds faster than Gerald. This means:\n $L = G_{old} - 2$\n\n2. **Calculate Gerald's original time ($G_{old}$):**\n We are given that Lee's time $L = 38$ seconds.\n $38 = G_{old} - 2$\n $G_{old} = 38 + 2 = 40$ seconds.\n\n3. **Calculate Gerald's improved time ($G_{new}$):**\n Gerald's diet improved his speed by 10%. In the context of racing, \"improving speed by 10%\" can be interpreted in two ways: increasing his velocity or decreasing his time. In standard word problems of this type, \"improving speed\" usually refers to the rate of work/movement.\n \n If his speed $v$ increases by 10%, the new speed $v_{new} = .10v + v = 1.1v$.\n Since time $t$ is inversely proportional to speed ($t = \\frac{d}{v}$), the new time is:\n $t_{new} = \\frac{d}{1.1v} = \\frac{1}{1.1} \\times \\frac{d}{v} = \\frac{1}{1.1} \\times t_{old}$\n \n $G_{new} = \\frac{40}{1.1}$\n $G_{new} = \\frac{400}{11}$\n $G_{new} \\approx 36.36$ seconds.\n\n *Alternative interpretation:* If \"improved his speed by 10%\" meant his time decreased by 10%:\n $G_{new} = 40 - (0.10 \\times 40) = 40 - 4 = 36$ seconds.\n\n In most competitive math/standardized testing contexts, \"improving speed by $x\\%$\" refers to the rate. However, if the question implies the time itself was reduced by 10% (a common simplification), the answer would be 36. Let's re-read. \"Improved his speed by 10%\".\n Speed $s = \\frac{distance}{time}$.\n $s_{new} = 1.1 \\times s_{old}$\n $\\frac{400}{G_{new}} = 1.1 \\times \\frac{400}{40}$\n $\\frac{1}{G_{new}} = 1.1 \\times \\frac{1}{40}$\n $G_{new} = \\frac{40}{1.1} = \\frac{400}{11} = 36.3636...$\n\n Let's check if there is a simpler interpretation. If the problem intended for the time to be reduced by 10%, the answer is 36. If the problem intended for the speed to increase by 10%, the answer is $36.\\overline{36}$. Usually, in these problems, if a clean integer is expected, 36 is the target. However, mathematically, \"improving speed\" refers to the rate. \n \n Let's re-evaluate the wording. If the speed $v$ increases by 10%, the time $t$ becomes $t/1.1$.\n $40 / 1.1 = 36.36...$\n If the time decreases by 10%, $40 \\times 0.9 = 36$.\n \n Given the phrasing in many textbook problems, \"improved his speed by 10%\" is often used interchangeably with \"his time improved by 10%\". Let's assume the intended calculation was $40 \\times 0.9 = 36$.\n\n Wait, let's look at the wording again. \"improved his speed by 10%\".\n If $v_{new} = 1.1 v_{old}$, then $t_{new} = \\frac{d}{1.1 v_{old}} = \\frac{t_{old}}{1.1}$.\n $40 / 1.1", "usage": {"prompt_tokens": 117, "completion_tokens": 1024, "total_tokens": 1141}, "error": null, "prior_errors": 0, "t0": 1793305612.218, "t1": 1793305998.528, "s": 386.31} +{"seq": 80, "idx": 133, "ok": true, "gold": "13", "reply": "To find out how many miles Walt walked on Wednesday, we can follow these steps:\n\n1. **Calculate the miles walked on Tuesday:**\n Walt walked 6 times as many miles on Tuesday as he did on Monday.\n Monday's mileage = 4 miles\n Tuesday's mileage = $4 \\times 6 = 24$ miles\n\n2. **Calculate the total mileage for Monday and Tuesday combined:**\n Total (Monday + Tuesday) = $4 + 24 = 28$ miles\n\n3. **Calculate the miles walked on Wednesday:**\n We know the total mileage for Monday through Wednesday was 41 miles.\n Wednesday's mileage = Total (Monday through Wednesday) - Total (Monday + Tuesday)\n Wednesday's mileage = $41 - 28 = 13$ miles\n\nAnswer: 13", "usage": {"prompt_tokens": 75, "completion_tokens": 188, "total_tokens": 263}, "error": null, "prior_errors": 0, "t0": 1793305930.298, "t1": 1793306003.286, "s": 72.99} +{"seq": 81, "idx": 135, "ok": true, "gold": "40", "reply": "To find out how many video games Bobby has, we follow these steps:\n\n1. **Determine Brian's current number of video games:**\n Brian originally had 20 video games.\n He lost 5 video games.\n $20 - 5 = 15$\n So, Brian currently has 15 video games.\n\n2. **Calculate the number of video games Bobby has based on the comparison:**\n The problem states Bobby has \"5 fewer than 3 times as many video games as Brian does.\"\n First, calculate 3 times Brian's current amount:\n $3 \\times 15 = 45$\n Next, subtract 5 from that result:\n $45 - 5 = 40$\n\nBobby has 40 video games.\n\nAnswer: 40", "usage": {"prompt_tokens": 76, "completion_tokens": 184, "total_tokens": 260}, "error": null, "prior_errors": 0, "t0": 1793305936.3, "t1": 1793306007.707, "s": 71.41} +{"seq": 82, "idx": 134, "ok": true, "gold": "720", "reply": "To find out how much Tom pays in a year, we can follow these steps:\n\n1. **Calculate the cost per month:**\n Tom gets 4 car washes per month, and each wash costs $15.\n $4 \\text{ washes} \\times \\$15/\\text{wash} = \\$60 \\text{ per month}$\n\n2. **Calculate the cost per year:**\n There are 12 months in a year.\n $\\$60 \\text{ per month} \\times 12 \\text{ months} = \\$720 \\text{ per year}$\n\nAlternatively, you can calculate the total number of washes in a year first:\n1. **Total washes per year:**\n $4 \\text{ washes/month} \\times 12 \\text{ months/year} = 48 \\text{ washes per year}$\n\n2. **Total cost per year:**\n $48 \\text{ washes} \\times \\$15/\\text{wash} = \\$720$\n\nAnswer: 720", "usage": {"prompt_tokens": 56, "completion_tokens": 235, "total_tokens": 291}, "error": null, "prior_errors": 0, "t0": 1793305933.299, "t1": 1793306024.439, "s": 91.14} +{"seq": 83, "idx": 128, "ok": true, "gold": "880", "reply": "To find the total amount of money Dillon spends, we first need to determine the cost of each individual item based on the price of a pepper.\n\n1. **Identify the cost of a pepper:**\n The problem states that each pepper costs $15.\n $\\text{Pepper} = \\$15$\n\n2. **Calculate the cost of a watermelon:**\n A watermelon costs three times what a pepper costs.\n $\\text{Watermelon} = 3 \\times \\$15 = \\$45$\n\n3. **Calculate the cost of an orange:**\n An orange costs $5 less than a watermelon.\n $\\text{Orange} = \\$45 - \\$5 = \\$40$\n\n4. **Calculate the total cost for each type of fruit:**\n * **Watermelons:** Dillon buys 4 watermelons.\n $4 \\times \\$45 = \\$180$\n * **Peppers:** Dillon buys 20 peppers.\n $20 \\times \\$15 = \\$300$\n * **Oranges:** Dillon buys 10 oranges.\n $10 \\times \\$40 = \\$400$\n\n5. **Calculate the total amount spent:**\n $\\text{Total} = \\$180 + \\$300 + \\$400$\n $\\text{Total} = \\$880$\n\nAnswer: 880", "usage": {"prompt_tokens": 113, "completion_tokens": 318, "total_tokens": 431}, "error": null, "prior_errors": 0, "t0": 1793305901.79, "t1": 1793306024.82, "s": 123.03} +{"seq": 84, "idx": 132, "ok": true, "gold": "60", "reply": "To find the total number of tickets used, we first need to calculate the total number of rides taken by Pam and Fred.\n\n1. **Calculate the number of roller coaster rides:**\n * Pam rode the roller coaster 2 times.\n * Fred rode the roller coaster 4 times.\n * Total roller coaster rides = $2 + 4 = 6$ rides.\n\n2. **Calculate the number of luge rides:**\n * Each of them (Pam and Fred) rode the luge 2 times.\n * Total luge rides = $2 \\text{ (Pam)} + 2 \\text{ (Fred)} = 4$ rides.\n\n3. **Calculate the total number of rides:**\n * Total rides = $6 \\text{ (roller coaster)} + 4 \\text{ (luge)} = 10$ rides.\n\n4. **Calculate the total number of tickets used:**\n * Each ride costs 6 tickets.\n * Total tickets = $10 \\text{ rides} \\times 6 \\text{ tickets/ride} = 60$ tickets.\n\nAlternatively, we can calculate the cost per person:\n* Pam's rides: $2 \\text{ (roller coaster)} + 2 \\text{ (luge)} = 4$ rides.\n* Fred's rides: $4 \\text{ (roller coaster)} + 2 \\text{ (luge)} = 6$ rides.\n* Total rides = $4 + 6 = 10$ rides.\n* Total tickets = $10 \\times 6 = 60$ tickets.\n\nAnswer: 60", "usage": {"prompt_tokens": 86, "completion_tokens": 373, "total_tokens": 459}, "error": null, "prior_errors": 0, "t0": 1793305907.793, "t1": 1793306050.042, "s": 142.25} +{"seq": 85, "idx": 139, "ok": true, "gold": "70", "reply": "To find the number of pink gumballs, we can follow these steps:\n\n1. **Identify the number of blue gumballs:**\n The problem states there are 12 blue gumballs.\n\n2. **Translate the relationship into a mathematical expression:**\n The number of pink gumballs is \"22 more than four times the number of blue gumballs.\"\n Mathematically, this can be written as:\n $\\text{Pink} = (4 \\times \\text{Blue}) + 22$\n\n3. **Substitute the number of blue gumballs into the expression:**\n $\\text{Pink} = (4 \\times 12) + 22$\n\n4. **Perform the calculations:**\n First, multiply 4 by 12:\n $4 \\times 12 = 48$\n Next, add 22 to the result:\n $48 + 22 = 70$\n\nThere are 70 pink gumballs.\n\nAnswer: 70", "usage": {"prompt_tokens": 75, "completion_tokens": 233, "total_tokens": 308}, "error": null, "prior_errors": 0, "t0": 1793305961.306, "t1": 1793306050.701, "s": 89.39} +{"seq": 86, "idx": 129, "ok": true, "gold": "10000", "reply": "To find the total profit the hospital makes from these visits, we need to calculate the total revenue, the total cost, and then subtract the cost from the revenue.\n\n**1. Calculate the total number of hours worked per day:**\nThe hospital sees 500 people a day.\nEach visit lasts 24 minutes.\nTotal minutes per day = $500 \\text{ patients} \\times 24 \\text{ minutes/patient} = 12,000 \\text{ minutes}$.\nTo convert minutes to hours: $12,000 \\text{ minutes} \\div 60 \\text{ minutes/hour} = 200 \\text{ hours}$.\n\n**2. Calculate the total revenue (what patients pay):**\nThe hospital charges patients $200 per hour.\nTotal Revenue = $200 \\text{ hours} \\times \\$200/\\text{hour} = \\$40,000$.\n\n**3. Calculate the total cost (what the hospital pays doctors):**\nThe doctors charge the hospital $150 per hour.\nTotal Cost = $200 \\text{ hours} \\times \\$150/\\text{hour} = \\$30,000$.\n\n**4. Calculate the profit:**\nProfit = Total Revenue - Total Cost\nProfit = $\\$40,000 - \\$30,000 = \\$10,000$.\n\nAlternatively, you can calculate the profit per hour:\nProfit per hour = $\\$200 - \\$150 = \\$50$.\nTotal Profit = $200 \\text{ hours} \\times \\$50/\\text{hour} = \\$10,000$.\n\nAnswer: 10000", "usage": {"prompt_tokens": 92, "completion_tokens": 385, "total_tokens": 477}, "error": null, "prior_errors": 0, "t0": 1793305904.791, "t1": 1793306053.312, "s": 148.52} +{"seq": 87, "idx": 142, "ok": true, "gold": "140", "reply": "To find out how much money Jordan would earn, we need to calculate the total number of hours he spends playing video games in one week and then multiply that by his hourly wage.\n\n1. **Calculate the hours spent playing video games per week:**\n Jordan plays for 2 hours every day.\n There are 7 days in a week.\n $2 \\text{ hours/day} \\times 7 \\text{ days/week} = 14 \\text{ hours/week}$\n\n2. **Calculate the earnings if he worked those hours instead:**\n Jordan earns $10 per hour.\n $14 \\text{ hours} \\times \\$10/\\text{hour} = \\$140$\n\nJordan would earn $140 in one week.\n\nAnswer: 140", "usage": {"prompt_tokens": 76, "completion_tokens": 177, "total_tokens": 253}, "error": null, "prior_errors": 0, "t0": 1793305985.312, "t1": 1793306054.573, "s": 69.26} +{"seq": 88, "idx": 137, "ok": true, "gold": "29", "reply": "To find the total cost of the delivery order, we follow these steps:\n\n1. **Calculate the cost of the items:**\n * 2 subs at $7.50 each: $2 \\times 7.50 = \\$15.00$\n * 2 bags of chips at $1.50 each: $2 \\times 1.50 = \\$3.00$\n * 2 cookies at $1.00 each: $2 \\times 1.00 = \\$2.00$\n * **Subtotal of items:** $\\$15.00 + \\$3.00 + \\$2.00 = \\$20.00$\n\n2. **Calculate the delivery fee:**\n * The delivery fee is 20% of the subtotal.\n * Delivery fee: $0.20 \\times \\$20.00 = \\$4.00$\n\n3. **Calculate the total cost including the tip:**\n * Add the subtotal, the delivery fee, and the tip together.\n * Total cost: $\\$20.00$ (subtotal) + $\\$4.00$ (delivery fee) + $\\$5.00$ (tip) = $\\$29.00$\n\nAnswer: 29.00", "usage": {"prompt_tokens": 105, "completion_tokens": 298, "total_tokens": 403}, "error": null, "prior_errors": 0, "t0": 1793305956.305, "t1": 1793306071.782, "s": 115.48} +{"seq": 89, "idx": 140, "ok": true, "gold": "20", "reply": "To find the percentage of semi-automatic cars, follow these steps:\n\n1. **Identify the total number of cars:**\n Total cars = 20\n\n2. **Identify the number of automatic and manual cars:**\n Automatic cars = 12\n Manual cars = 4\n\n3. **Calculate the number of semi-automatic cars:**\n The problem states the rest are semi-automatic.\n Semi-automatic cars = Total cars - (Automatic cars + Manual cars)\n Semi-automatic cars = 20 - (12 + 4)\n Semi-automatic cars = 20 - 16\n Semi-automatic cars = 4\n\n4. **Calculate the percentage of semi-automatic cars:**\n To find the percentage, divide the number of semi-automatic cars by the total number of cars and multiply by 100.\n Percentage = (Semi-automatic cars / Total cars) \u00d7 100\n Percentage = (4 / 20) \u00d7 100\n\n5. **Simplify the calculation:**\n 4 / 20 = 1 / 5\n 1 / 5 = 0.2\n 0.2 \u00d7 100 = 20%\n\nAnswer: 20%", "usage": {"prompt_tokens": 70, "completion_tokens": 280, "total_tokens": 350}, "error": null, "prior_errors": 0, "t0": 1793305967.808, "t1": 1793306076.082, "s": 108.27} +{"seq": 90, "idx": 102, "ok": true, "gold": "26", "reply": "To find the total number of glasses of water John drinks in a week, we need to calculate his consumption for weekdays and weekends separately.\n\n**1. Weekday consumption:**\nJohn drinks water at breakfast, lunch, dinner, and before bed.\nNumber of glasses per weekday = 4\nNumber of weekdays in a week = 5\nTotal glasses on weekdays = $4 \\times 5 = 20$\n\n**2. Weekend consumption:**\nOn the weekends (Saturday and Sunday), he does not have water with breakfast or lunch (the problem implies he only follows the \"breakfast, lunch, dinner, bed\" routine on weekdays, and on weekends he replaces the dinner water with a soda). \nWait, let's re-read: \"John does this [the 4 glasses] every weekday, but on the weekends he likes to relax and have a soda with dinner instead.\"\nThis implies that on the weekend, he skips the breakfast and lunch water, and replaces the dinner water with soda. However, the phrasing \"John does this every weekday\" refers to the routine of 4 glasses. On the weekend, he replaces the dinner water with soda. \nLet's look at the routine:\n- Breakfast: Water (Weekday) / ? (Weekend)\n- Lunch: Water (Weekday) / ? (Weekend)\n- Dinner: Water ( -> Soda on weekend)\n- Bed: Water (Weekday) / ? (Weekend)\n\nActually, the most logical interpretation of \"John does this every weekday, but on the weekends he... has a soda with dinner instead\" is that the 4-glass routine applies to weekdays. On weekends, he does not follow the 4-glass routine. \nIf he only has a soda with dinner on the weekend and no other water is mentioned for the weekend, he would drink 0 glasses of water. However, usually, these problems imply the other meals remain the same unless specified. \nLet's re-evaluate:\n\"John likes to have a glass of water with breakfast, lunch and dinner. Finally, he has one before he goes to bed as well.\" (Total 4)\n\"John does this every weekday...\" (4 glasses/day)\n\"...but on the weekends he likes to relax and have a soda with dinner instead.\"\nThis means on Saturday and Sunday:\n- Breakfast: No water mentioned (0)\n- Lunch: No water mentioned (0)\n- Dinner: Soda instead of water (0)\n- Bed: No water mentioned (0)\nThis would mean 0 glasses on weekends. But usually, \"instead\" refers to the substitution in the routine. If the routine is 4 glasses, and he replaces the dinner water with soda, he is still following the \"breakfast, lunch, bed\" part of the routine.\nLet's assume the routine is:\nWeekday: Breakfast (W), Lunch (W), Dinner (W), Bed (W) = 4 glasses.\nWeekend: Breakfast (W), Lunch (W), Dinner (S), Bed (W) = 3 glasses.\n\nLet's check the wording again: \"John does this [the schedules of 4 glasses] every weekday, but on the weekends he... has a soda with dinner instead.\"\nThis implies the 4-glass routine is the baseline. On weekends, he replaces the dinner water with soda.\nSo, on Saturday: Breakfast (W), Lunch (W), Dinner (Soda), Bed (W) = 3 glasses of water.\nOn Sunday: Breakfast (W), Lunch (W), Dinner (Soda), Bed (W) = 3 glasses of water.\n\nTotal = (5 weekdays $\\times$ 4 glasses) + (2 weekend days $\\times$ 3 glasses)\nTotal = 20 + 6 = 26.\n\nLet's consider the alternative: If \"John does this every weekday\" means the 4 glasses are ONLY on weekdays.\nIf he only drinks water on weekdays, the answer is 20. But the \"instead\" implies he still has the other glasses.\nIf he has 0 glasses on weekends, the answer is 20.\nIf he has 3 glasses on weekends, the answer is 26.\n\nLet's re-read: \"John likes to have a glass of water with breakfast, lunch and dinner. Finally, he has one before he goes to bed as well. John does this every weekday...\"\nThis means:\nMon-Fri: 4 glasses/day.\nWeekend: He replaces the dinner water with soda.\nSo:\nMon-Fri: 4 glasses $\\times$ 5 = 20 glasses.\nSat-Sun: 3 glasses $\\times$ 2 = 6 glasses.\nTotal = 26.\n\nAnswer: 26", "usage": {"prompt_tokens": 94, "completion_tokens": 1012, "total_tokens": 1106}, "error": null, "prior_errors": 0, "t0": 1793305691.238, "t1": 1793306076.264, "s": 385.03} +{"seq": 91, "idx": 145, "ok": true, "gold": "4000", "reply": "To find the total number of pineapples John can harvest within a year, we follow these steps:\n\n1. **Calculate the number of pineapples per harvest:**\n John has 10 hectares, and there are 100 pineapples per hectare.\n $\\text{Pineapples per harvest} = 10 \\text{ hectares} \\times 100 \\text{ pineapples/hectare} = 1,000 \\text{ pineapples}$.\n\n2. **Calculate the number of harvests per year:**\n There are 12 months in a year. John harvests every 3 months.\n $\\text{Harvests per year} = 12 \\text{ months} / 3 \\text{ months/harvest} = 4 \\text{ harvests}$.\n\n3. **Calculate the total number of pineapples harvested in a year:**\n $\\text{Total pineapples} = \\text{Pineapples per harvest} \\times \\text{Harvests per year}$\n $\\text{Total pineapples} = 1,000 \\times 4 = 4,000 \\text{ pineapples}$.\n\nAnswer: 4000", "usage": {"prompt_tokens": 73, "completion_tokens": 258, "total_tokens": 331}, "error": null, "prior_errors": 0, "t0": 1793306003.317, "t1": 1793306102.512, "s": 99.2} +{"seq": 92, "idx": 138, "ok": true, "gold": "105", "reply": "To find out how many questions Mark left incomplete, we need to calculate how many questions he completed in each session and subtract that from the total number of questions.\n\n**Step 1: Calculate the questions completed on the first test.**\n- Total questions: 75\n- Rate: 5 questions per hour\n- Time available: 8 hours\n- Questions completed = Rate \u00d7 Time = $5 \\text{ questions/hour} \\times 8 \\text{ hours} = 40 \\text{ questions}$.\n- Questions left incomplete (Test 1) = $75 - 40 = 35 \\text{ questions}$.\n\n**Step 2: Calculate the questions completed on the second test.**\n- Total questions: 100\n- Rate: 5 questions per hour\n- Time available: 6 hours\n- Questions completed = Rate \u00d7 Time = $5 \\text{ questions/hour} \\times 6 \\text{ hours} = 30 \\text{ questions}$.\n- Questions left incomplete (Test 2) = $100 - 30 = 70 \\text{ questions}$.\n\n**Step 3: Calculate the total questions left incomplete.**\n- Total incomplete = (Incomplete Test 1) + (Incomplete Test 2)\n- Total incomplete = $35 + 70 = 105 \\text{ questions}$.\n\nAlternatively, we can calculate the total questions and total completed:\n- Total questions = $75 + 100 = 175$\n- Total completed = $40 + 30 = 70$\n- Total incomplete = $175 - 70 = 105$\n\nAnswer: 105", "usage": {"prompt_tokens": 102, "completion_tokens": 371, "total_tokens": 473}, "error": null, "prior_errors": 0, "t0": 1793305961.306, "t1": 1793306104.591, "s": 143.28} +{"seq": 93, "idx": 144, "ok": true, "gold": "20", "reply": "To find the profit, we first need to determine the total number of clients, the total expenses, and then subtract the expenses from the total income.\n\n1. **Calculate the total number of clients:**\n Kim has 3 existing clients and 5 potential clients.\n Total clients = $3 + 5 = 8$ clients.\n\n2. **Calculate the cost per client:**\n Each client requires 2 bottles of bleach and 1 pack of cloths.\n Cost of bleach per client = $2 \\text{ bottles} \\times \\$2/\\text{bottle} = \\$4$.\n Cost of cloths per client = $1 \\text{ pack} \\times \\$5/\\text{pack} = \\$5$.\n Total cost per client = $\\$4 + \\$5 = \\$9$.\n\n3. **Calculate the total expenses for all clients:**\n Total expenses = $\\text{Total clients} \\times \\text{Cost per client}$\n Total expenses = $8 \\times \\$9 = \\$72$.\n\n4. **Calculate the profit:**\n Profit is the difference between total income and total expenses.\n Total income = $92.\n Total expenses = $72.\n Profit = $\\$92 - \\$72 = \\$20$.\n\nAnswer: 20", "usage": {"prompt_tokens": 159, "completion_tokens": 284, "total_tokens": 443}, "error": null, "prior_errors": 0, "t0": 1793305998.816, "t1": 1793306109.132, "s": 110.32} +{"seq": 94, "idx": 148, "ok": true, "gold": "30", "reply": "To find out how much money Brittany's mom gave the cashier, we need to calculate the total cost of the tickets and then add the change she received.\n\n1. **Calculate the cost of the tickets:**\n * Cost of 1 adult ticket = $12\n * Cost of 1 child ticket = $10\n * Total cost of tickets = $12 + $10 = $22\n\n2. **Calculate the total amount given to the cashier:**\n * The total cost of the tickets was $22.\n * She received $8 in change.\n * Total money given = Total cost + Change received\n * Total money given = $22 + $8 = $30\n\nAlternatively, we can think of it this way: The amount she gave must cover the cost of the items plus the amount returned to her.\n$12 (adult) + $10 (child) + $8 (change) = $30.\n\nAnswer: 30", "usage": {"prompt_tokens": 96, "completion_tokens": 224, "total_tokens": 320}, "error": null, "prior_errors": 0, "t0": 1793306024.822, "t1": 1793306112.449, "s": 87.63} +{"seq": 95, "idx": 143, "ok": true, "gold": "16", "reply": "To find the total cost, we first need to categorize the items into \"food\" and \"nonfood\" items to apply the tax correctly.\n\n**1. Categorize the items:**\n* **Food items:**\n * Milk: $2\n * Eggs: $3\n* **Nonfood items:**\n * Light bulbs: $3\n * Cups: $3\n * Roach traps: $4\n\n**2. Calculate the subtotal for each category:**\n* **Food subtotal:** $2 + $3 = $5\n* **Nonfood subtotal:** $3 + $3 + $4 = $10\n\n**3. Calculate the tax on nonfood items:**\nThe tax rate is 10% on nonfood items.\n* Tax = 10% of $10 = 0.10 * $10 = $1\n\n**4. Calculate the total cost:**\nTotal Cost = Food subtotal + Nonfood subtotal + Tax\nTotal Cost = $5 + $10 + $1 = $16\n\nAlternatively, you can calculate the total of nonfood items with tax first:\nNonfood with tax = $10 + $1 = $11\nTotal = $5 (food) + $11 (nonfood with tax) = $16\n\nAnswer: 16", "usage": {"prompt_tokens": 86, "completion_tokens": 298, "total_tokens": 384}, "error": null, "prior_errors": 0, "t0": 1793305996.815, "t1": 1793306113.223, "s": 116.41} +{"seq": 96, "idx": 146, "ok": true, "gold": "2125", "reply": "To find the total number of pieces Johnny picks up, we need to calculate the number of pieces in each set and then sum them up.\n\n1. **First set:** The problem states the first set has 500 pieces.\n * Set 1 = 500 pieces\n\n2. **Second set:** The second set has 3 times more pieces than the 500-piece set.\n * Set 2 = 500 * 3 = 1,500 pieces\n\n3. **Third set:** The third set has 1/4 the number of pieces as the 500-piece set.\n * Set 3 = 500 / 4 = 125 pieces\n\n4. **Total pieces:** To find the total, we add the pieces from all three sets together.\n * Total = Set 1 + Set 2 + Set 3\n * Total = 500 + 1,500 + 125\n * Total = 2,000 + 125\n * Total = 2,125\n\nJohnny picks up 2,125 blocks.\n\nAnswer: 2125", "usage": {"prompt_tokens": 111, "completion_tokens": 275, "total_tokens": 386}, "error": null, "prior_errors": 0, "t0": 1793306007.818, "t1": 1793306115.1, "s": 107.28} +{"seq": 97, "idx": 149, "ok": true, "gold": "16", "reply": "To find out how many Facebook friends James has, we can follow these steps:\n\n1. **Find the number of friends Dorothy has:**\n We are told that Charlie has three times as many friends as Dorothy.\n Let $D$ be the number of Dorothy's friends.\n Charlie's friends = $3 \\times D$\n We know Charlie has 12 friends.\n $3 \\times D = 12$\n $D = 12 / 3$\n $D = 4$\n So, Dorothy has 4 friends.\n\n2. **Find the number of friends James has:**\n We are told that James has four times as many friends as Dorothy.\n James's friends = $4 \\times D$\n Since $D = 4$:\n James's friends = $4 \\times 4$\n James's friends = 16\n\nAnswer: 16", "usage": {"prompt_tokens": 70, "completion_tokens": 208, "total_tokens": 278}, "error": null, "prior_errors": 0, "t0": 1793306050.327, "t1": 1793306132.372, "s": 82.04} +{"seq": 98, "idx": 152, "ok": true, "gold": "4", "reply": "To find out how much change Carl receives, we need to follow these steps:\n\n1. **Calculate the total number of cookies:**\n Carl buys 10 packs, and each pack has 6 cookies.\n Total cookies = $10 \\text{ packs} \\times 6 \\text{ cookies/pack} = 60 \\text{ cookies}$\n\n2. **Calculate the total cost of the cookies:**\n Each cookie costs $0.10.\n Total cost = $60 \\text{ cookies} \\times \\$0.10/\\text{cookie} = \\$6.00$\n\n3. **Calculate the change received:**\n Carl pays with a $10 bill.\n Change = $\\text{Amount paid} - \\text{Total cost}$\n Change = $\\$10.00 - \\$6.00 = \\$4.00$\n\nAnswer: 4", "usage": {"prompt_tokens": 70, "completion_tokens": 201, "total_tokens": 271}, "error": null, "prior_errors": 0, "t0": 1793306054.83, "t1": 1793306132.762, "s": 77.93} +{"seq": 99, "idx": 141, "ok": true, "gold": "400", "reply": "To find the number of worker bees, we can set up an algebraic equation based on the information provided.\n\n1. **Define the variables:**\n Let $Q$ be the number of queens.\n Let $B$ be the number of baby bees.\n Let $W$ be the number of worker bees.\n\n2. **Set up the relationships based on the problem:**\n * \"There are twice as many babies as queens\": $B = 2Q$\n * \"There are twice as many worker bees as baby bees\": $W = 2B$\n * \"There are 700 bees in a hive\": $Q + B + W = 700$\n\n3. **Express all variables in terms of $Q$:**\n * $B = 2Q$\n * $W = 2(2Q) = 4Q$\n\n4. **Substitute these into the total sum equation:**\n $Q + 2Q + 4Q = 700$\n $7Q = 700$\n\n5. **Solve for $Q$:**\n $Q = \\frac{700}{7}$\n $Q = 100$\n\n6. **Calculate the number of worker bees ($W$):**\n $W = 4Q$\n $W = 4 \\times 100$\n $W = 400$\n\n**Verification:**\n* Queens: 100\n* Babies: $2 \\times 100 = 200$\n* Workers: $2 \\times 200 = 400$\n* Total: $100 + 200 + 400 = 700$ (Correct)\n\nAnswer: 400", "usage": {"prompt_tokens": 69, "completion_tokens": 412, "total_tokens": 481}, "error": null, "prior_errors": 0, "t0": 1793305981.811, "t1": 1793306142.23, "s": 160.42} +{"seq": 100, "idx": 156, "ok": true, "gold": "1400", "reply": "To find the total number of bananas needed for 2 months, we first calculate the total number of bananas needed for one month.\n\n1. **Calculate the monthly total for all apes:**\n * Monkeys: 200 bananas\n * Gorillas: 400 bananas\n * Baboons: 100 bananas\n * Total per month = 200 + 400 + 100 = 700 bananas\n\n2. **Calculate the total for 2 months:**\n * Since the zookeeper orders bananas every 2 months, we multiply the monthly total by 2.\n * Total for 2 months = 700 bananas/month \u00d7 2 months = 1,400 bananas\n\nAnswer: 1400", "usage": {"prompt_tokens": 101, "completion_tokens": 178, "total_tokens": 279}, "error": null, "prior_errors": 0, "t0": 1793306102.84, "t1": 1793306172.88, "s": 70.04} +{"seq": 101, "idx": 158, "ok": true, "gold": "34", "reply": "To find the total amount Raphael spent, we need to calculate the cost of each type of item and then add them together.\n\n1. **Calculate the cost of the pens:**\n Raphael bought 4 pens at $1.5 each.\n $4 \\times \\$1.5 = \\$6$\n\n2. **Calculate the cost of the notebooks:**\n Raphael bought 2 notebooks at $4 each.\n $2 \\times \\$4 = \\$8$\n\n3. **Identify the cost of the bond paper:**\n The rim of bond paper cost $20.\n\n4. **Calculate the total amount spent:**\n Add the costs of the pens, notebooks, and bond paper together.\n $\\$6 + \\$8 + \\$20 = \\$34$\n\nTotal spent = $34.\n\nAnswer: 34", "usage": {"prompt_tokens": 80, "completion_tokens": 186, "total_tokens": 266}, "error": null, "prior_errors": 0, "t0": 1793306109.342, "t1": 1793306181.776, "s": 72.43} +{"seq": 102, "idx": 160, "ok": true, "gold": "16", "reply": "To find the water depth on Wednesday, we follow the changes day by day:\n\n1. **Monday's depth:** 17 feet.\n2. **Tuesday's depth:** The problem states Tuesday had 7 feet more water than Monday.\n $17 \\text{ feet} + 7 \\text{ feet} = 24 \\text{ feet}$.\n3. **Wednesday's depth:** The problem states Wednesday's depth is two thirds of Tuesday's depth.\n $\\frac{2}{3} \\times 24 \\text{ feet} = 2 \\times \\frac{24}{3} = 2 \\times 8 = 16 \\text{ feet}$.\n\nThe tank's water depth on Wednesday is 16 feet.\n\nAnswer: 16", "usage": {"prompt_tokens": 85, "completion_tokens": 177, "total_tokens": 262}, "error": null, "prior_errors": 0, "t0": 1793306113.344, "t1": 1793306182.173, "s": 68.83} +{"seq": 103, "idx": 150, "ok": true, "gold": "4", "reply": "To find out how long the winner will be waiting, we need to calculate the travel time for both Steve and Tim.\n\n**Step 1: Convert distances from miles to feet.**\nThere are 5,280 feet in one mile.\n* Steve's distance: $3 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 15,840 \\text{ feet}$\n* Tim's distance: $2 \\text{ miles} \\times 5,280 \\text{ feet/mile} = 10,560 \\text{ feet}$\n\n**Step 2: Calculate the time taken by each person.**\nTime is calculated as $\\text{Distance} \\div \\text{Speed}$.\n* Steve's time: $15,840 \\text{ feet} \\div 440 \\text{ feet/minute} = 36 \\text{ minutes}$\n* Tim's time: $10,560 \\text{ feet} \\div 264 \\text{ feet/minute} = 40 \\text{ minutes}$\n\n**Step 3: Determine the winner and the waiting time.**\n* Steve finished in 36 minutes (the winner).\n* Tim finished in 40 minutes (the loser).\n* The waiting time is the difference between their arrival times: $40 \\text{ minutes} - 36 \\text{ minutes} = 4 \\text{ minutes}$.\n\nAnswer: 4", "usage": {"prompt_tokens": 122, "completion_tokens": 339, "total_tokens": 461}, "error": null, "prior_errors": 0, "t0": 1793306050.828, "t1": 1793306184.047, "s": 133.22} +{"seq": 104, "idx": 151, "ok": true, "gold": "5", "reply": "To find out how much money Shawnda made, we need to calculate the total number of tires inflated and then multiply that by the cost per tire.\n\n1. **Calculate the number of tires for each group:**\n * **Bicycles:** 5 people came with bicycles. Each bicycle has 2 tires.\n $5 \\text{ people} \\times 2 \\text{ tires/person} = 10 \\text{ tires}$\n * **Tricycles:** 3 people came with tricycles. Each tricycle has 3 tires.\n $3 \\text{ people} \\times 3 \\text{ tires/person} = 9 \\text{ tires}$\n * **Unicycle:** 1 person came with a unicycle. A unicycle has 1 tire.\n $1 \\text{ person} \\times 1 \\text{ tire/person} = 1 \\text{ tire}$\n\n2. **Calculate the total number of tires:**\n $10 + 9 + 1 = 20 \\text{ tires}$\n\n3. **Calculate the total earnings in cents:**\n Each tire costs 25 cents.\n $20 \\text{ tires} \\times 25 \\text{ cents/tire} = 500 \\text{ cents}$\n\n4. **Convert the total earnings to dollars:**\n There are 100 cents in 1 dollar.\n $500 \\text{ cents} \\div 100 = 5 \\text{ dollars}$\n\nAnswer: 5", "usage": {"prompt_tokens": 118, "completion_tokens": 343, "total_tokens": 461}, "error": null, "prior_errors": 0, "t0": 1793306053.329, "t1": 1793306187.704, "s": 134.38} +{"seq": 105, "idx": 147, "ok": true, "gold": "75", "reply": "To solve the problem, we will track the number of bees leaving and returning in each 6-hour interval.\n\n**Interval 1 (First 6 hours):**\n* Bees leaving: 30\n* Bees returning: 0\n* Net bees out of the hive: 30\n\n**Interval 2 (Next 6 hours):**\n* Bees returning: $1/2 \\times 30 = 15$\n* Bees leaving: 0 (The problem states \"she sees 1/2 that many bees return\", implying no new bees left in this specific window based on the phrasing \"then she sees...\").\n* Net bees out of the hive: $3s0 - 15 = 15$\n\n**Interval 3 (Next 6 hours):**\n* Bees leaving: Two times the number that left in the first interval.\n * $2 \\times 30 = 60$\n* Bees returning: 0\n* Net bees out of the hive: $15 + 60 = 75$\n\n**Interval 4 (Last 6 hours):**\n* The problem states: \"Then every bee that left before that hadn't already returned returns to the hive in the next 6 hours.\"\n* Let's calculate the total number of bees that left the hive: $30 (\\text{Interval 1}) + 60 (\\text{Interval 3}) = 90$.\n* Let's calculate how many bees had already returned: $15 (\\text{Interval 2})$.\n* The number of bees that left and had not yet returned is: $90 - 15 = 75$.\n* According to the problem, these 75 bees return to the hive in the last 6 hours.\n\nThe question asks how many bees Debra saw return to the hive in the last 6 hours.\n\nAnswer: 75", "usage": {"prompt_tokens": 153, "completion_tokens": 433, "total_tokens": 586}, "error": null, "prior_errors": 0, "t0": 1793306024.822, "t1": 1793306194.04, "s": 169.22} +{"seq": 106, "idx": 155, "ok": true, "gold": "280", "reply": "To find the total length of all the baked goods in feet, we need to calculate the length of each type of item and then sum them up.\n\n**1. Calculate the length of the rolls:**\n* Number of rolls: 300\n* Length per roll: 4 inches\n* Total length in inches: $300 \\times 4 = 1200$ inches\n* Convert to feet (12 inches = 1 foot): $1200 / 12 = 100$ feet\n\n**2. Calculate the length of the croissants:**\n* Number of croissants: 120\n* Length per croissant: 6 inches\n* Total length in inches: $120 \\times 6 = 720$ inches\n* Convert to feet: $720 / 12 = 60$ feet\n\n**3. Calculate the length of the baguettes:**\n* Number of baguettes: 60\n* Length per baguette: 2 feet\n* Total length in feet: $60 \\times 2 = 120$ feet\n\n**4. Calculate the total length:**\n* Total length = Length of rolls + Length of croissants + Length of baguettes\n* Total length = $100 \\text{ feet} + 60 \\text{ feet} + 120 \\text{ feet} = 280 \\text{ feet}$\n\nAnswer: 280", "usage": {"prompt_tokens": 97, "completion_tokens": 327, "total_tokens": 424}, "error": null, "prior_errors": 0, "t0": 1793306076.335, "t1": 1793306204.039, "s": 127.7} +{"seq": 107, "idx": 119, "ok": false, "gold": "95200", "reply": "To find the total salary the two were receiving four years later, we need to determine the individual salaries of Adrien and Lylah at that time.\n\n**Step 1: Determine Lylah's salary four years ago.**\nWe are told that Adrien's salary four years ago was $40,000.\nHis salary was 30% higher than Lylah's salary at that time.\nLet $L_1$ be Lylah's salary four years ago.\n$40,000 = L_1 \\times (1 + 0.30)$\n$40,000 = 1.3L_1$\n$L_1 = \\frac{40,000}{1.3} = \\frac{400,000}{13}$\n\n**Step 2: Determine Adrien's salary four years later.**\nFour years later, Adrien's salary increased by 40% from what he was making four years ago.\nLet $A_2$ be Adrien's salary four years later.\n$A_2 = 40,000 \\times (1 + 0.40)$\n$A_2 = 40,m00 \\times 1.4 = 56,000$\n\n**Step 3: Determine Lylah's salary four years later.**\nThe problem states that \"Adrien's and Lylah's salary increased simultaneously.\" In the context of such problems, this implies that the percentage increase applied to Adrien's salary also applies to Lylah's salary (or that they both experienced the same growth rate).\nLet $L_2$ be Lylah's salary four years later.\n$L_2 = L_1 \\times (1 + 0.40)$\n$L_2 = \\frac{400,000}{13} \\times 1.4 = \\frac{560,000}{13}$\n\n**Step 4: Calculate the total salary of both four years later.**\nTotal Salary $= A_2 + L_2$\nTotal Salary $= 56,000 + \\frac{560,000}{13}$\nTo add these, find a common denominator:\n$56,000 = \\frac{56,000 \\times 13}{13} = \\frac{728,000}{13}$\nTotal Salary $= \\frac{728,000}{13} + \\frac{560,000}{13}$\nTotal Salary $= \\frac{1,288,000}{13}$\n\nPerforming the division:\n$1,288,000 \\div 13 \\approx 99,076.923...$\n\nWait, let's re-read to ensure \"simultaneously\" doesn't imply a different relationship. If \"simultaneously\" means they both increased by the same percentage (40%), the calculation above is correct. \nLet's check if there is an alternative interpretation. If the 30% difference was maintained:\n$A_2 = 1.3 \\times L_2$ is not necessarily true. The problem says \"Adrien's total salary was 30 percent higher than Lylah's\" (referring to the initial state).\nIf the question implies Lylah's salary also increased by 40%:\n$L_2 = \\frac{40,000}{1.3} \\times 1.4 = \\frac{56,000}{1.3}$\nTotal $= 56,000 + \\frac{56,000}{1.3} = 56,000(1 + \\frac{1}{1.3}) = 56,000(\\frac{2.3}{1.3}) = \\frac{128,800}{1.3} = \\frac{1,288,000}{13} \\approx 99,076.92$\n\nLet's re-verify the wording. \"Adrien's total salary was 30 percent higher than Lylah's\" (Past). \"Four years later... he was earning 40% more than what he was making four years ago.\" \"If Adrien's and Lylah's salary increased simultaneously\" (meaning they both grew by 40%).\n$A_1 = 40,000$", "usage": {"prompt_tokens": 114, "completion_tokens": 1024, "total_tokens": 1138}, "error": null, "prior_errors": 0, "t0": 1793305816.77, "t1": 1793306211.015, "s": 394.25} +{"seq": 108, "idx": 161, "ok": true, "gold": "32", "reply": "To find the total number of fish caught, we first determine the number of fish caught by each person and then sum them up.\n\n**1. Calculate Anakin's catches:**\n* Starfish: 10\n* Sea horses: 6\n* Clownfish: 3\n* **Total for Anakin** = 10 + 6 + 3 = 19\n\n**2. Calculate Locsin's catches:**\n* Starfish: 5 fewer than Anakin = 10 - 5 = 5\n* Sea horses: 3 fewer than Anakin = 6 - 3 = 3\n* Clownfish: 2 more than Anakin = 3 + 2 = 5\n* **Total for Locsin** = 5 + 3 + 5 = 13\n\n**3. Calculate the total number of fish caught:**\n* Total = Anakin's total + Locsin's total\n* Total = 19 + 13 = 32\n\nAlternatively, we can sum the totals of each type of fish:\n* Total Starfish: 10 + 5 = 15\n* Total Sea horses: 6 + 3 = 9\n* Total Clownfish: 3 + 5 = 8\n* **Grand Total** = 15 + 9 + 8 = 32\n\nAnswer: 32", "usage": {"prompt_tokens": 95, "completion_tokens": 311, "total_tokens": 406}, "error": null, "prior_errors": 0, "t0": 1793306115.345, "t1": 1793306234.964, "s": 119.62} +{"seq": 109, "idx": 153, "ok": true, "gold": "48", "reply": "To find the original number of french fries, we work backward from the final amount.\n\n1. **Final amount left:** 5 fries.\n2. **Before the ants:** The ants carried off one final fry, leaving 5. This means before the ants, there were $5 + 1 = 6$ fries.\n3. **Before the raccoon:** The raccoon stole two-thirds of the remaining fries, leaving one-third behind. If $1/3$ of the fries equals 6, then the total before the raccoon was $6 \\times 3 = 18$ fries.\n4. **Before the pigeons:** Three pigeons each ate three fries, totaling $3 \\times 3 = 9$ fries. Before the pigeons arrived, there were $18 + 9 = 27$ fries.\n5. **Before the seagull:** The seagull ate half the amount that Dave ate. Dave ate 14 fries, so the seagull ate $14 / 2 = 7$ fries. Before the seagull landed, there were $27 + 7 = 34$ fries.\n6. **Before Dave ate:** Dave ate 14 fries before the seagull took the pack. To find the original amount, we add those 14 fries back: $34 + 14 = 48$ fries.\n\n**Verification:**\n- Start with 48.\n- Dave eats 14: $48 - 14 = 34$.\n- Seagull eats half of 14 (7): $34 - 7 = 27$.\n- Three pigeons eat 3 each (9): $27 - 9 = 18$.\n- Raccoon steals 2/3 of 18 (12): $18 - 12 = 6$.\n- Ants take 1: $6 - 1 = 5$.\nThe final amount matches the problem statement.\n\nAnswer: 48", "usage": {"prompt_tokens": 128, "completion_tokens": 434, "total_tokens": 562}, "error": null, "prior_errors": 0, "t0": 1793306071.833, "t1": 1793306240.788, "s": 168.95} +{"seq": 110, "idx": 163, "ok": true, "gold": "50", "reply": "To find the total value of all the toys, we need to calculate the cost of each type of toy and then sum them up.\n\n**1. Identify the cost of each individual item:**\n* **Red car:** $4 per car.\n* **Action figure:** $5 per action figure.\n* **Doll:** The problem states the doll costs as much as 3 action figures.\n * Cost of doll = $3 \\times \\$5 = \\$15$.\n\n**2. Calculate the total cost for each group of toys:**\n* **Red cars:** There are 5 red cars.\n * Total cost of cars = $5 \\times \\$4 = \\$20$.\n* **Action figures:** There are 3 action figures.\n * Total cost of action figures = $3 \\times \\$5 = \\$15$.\n* **Doll:** There is 1 doll.\n * Total cost of doll = $1 \\times \\$15 = \\$15$.\n\n**3. Calculate the total value of all toys:**\n* Total value = (Total cost of cars) + (Total cost of action figures) + (Total cost of doll)\n* Total value = $\\$20 + \\$15 + \\$15$\n* Total value = $\\$50$\n\nAnswer: 50", "usage": {"prompt_tokens": 85, "completion_tokens": 293, "total_tokens": 378}, "error": null, "prior_errors": 0, "t0": 1793306132.849, "t1": 1793306246.945, "s": 114.1} +{"seq": 111, "idx": 154, "ok": true, "gold": "272", "reply": "To find the total number of hours Kimo spends attending classes in one semester, we can follow these steps:\n\n1. **Calculate the hours spent per week on Mondays, Wednesdays, and Fridays:**\n Kimo has three 1-hour classes each day.\n Hours per day = $3 \\times 1 = 3$ hours.\n Number of such days = 3 (Monday, Wednesday, Friday).\n Total hours for these days per week = $3 \\text{ days} \\times 3 \\text{ hours/day} = 9$ hours.\n\n2. **Calculate the hours spent per week on Tuesdays and Thursdays:**\n Kimo has two 2-hour classes each day.\n Hours per day = $2 \\times 2 = 4$ hours.\n Number of such days = 2 (Tuesday, Thursday).\n Total hours for these days per week = $2 \\text{ days} \\times 4 \\text{ hours/day} = 8$ hours.\n\n3. **Calculate the total hours spent per week:**\n Total hours per week = $9 \\text{ hours} + 8 \\text{ hours} = 17$ hours.\n\n4. **Calculate the total hours for the semester:**\n The semester lasts 16 weeks.\n Total hours = $17 \\text{ hours/week} \\times 16 \\text{ weeks}$.\n \n Calculation:\n $17 \\times 16 = 17 \\times (10 + 6)$\n $17 \\times 10 = 170$\n $17 \\times 6 = 102$\n $170 + 102 = 272$\n\nAlternatively:\n$16 \\times 17 = 16 \\times (16 + 1) = 16^2 + 16 = 256 + 16 = 272$.\n\nAnswer: 272", "usage": {"prompt_tokens": 98, "completion_tokens": 444, "total_tokens": 542}, "error": null, "prior_errors": 0, "t0": 1793306076.335, "t1": 1793306249.238, "s": 172.9} +{"seq": 112, "idx": 164, "ok": true, "gold": "15", "reply": "To find out how much more money Jackie will have if she hires the accountant, we need to compare the cost of hiring the accountant with the opportunity cost of doing the taxes herself.\n\n1. **Calculate the cost of doing the taxes herself:**\n If Jackie does the taxes herself, she loses 3 hours of freelance work.\n The hourly rate is $35/hour.\n Total lost income = $3 \\text{ hours} \\times \\$35/\\text{hour} = \\$105$.\n\n2. **Calculate the cost of hiring the accountant:**\n The accountant charges a flat fee of $90.\n\n3. **Compare the two scenarios:**\n - Scenario A (Self): She \"loses\" $105 in potential income.\n - Scenario B (Accountant): She \"loses\" $90 in actual cash.\n\n To find how much more money she will have by hiring the accountant, we subtract the cost of the accountant from the cost of the lost freelance work:\n Difference = $\\$105 - \\$90 = \\$15$.\n\nBy hiring the accountant, she avoids losing $105 worth of time for a cost of only $90, resulting in a net gain of $15 compared to the self-filing scenario.\n\nAnswer: 15", "usage": {"prompt_tokens": 97, "completion_tokens": 286, "total_tokens": 383}, "error": null, "prior_errors": 0, "t0": 1793306142.352, "t1": 1793306253.985, "s": 111.63} +{"seq": 113, "idx": 166, "ok": true, "gold": "5", "reply": "To find out how many times Sandra needs to babysit, we first need to determine the total number of eggs required and then calculate how many times she receives a basket of eggs.\n\n1. **Calculate the total number of eggs needed:**\n Sandra needs to make 15 flans, and each flan requires 3 eggs.\n Total eggs = $15 \\text{ flans} \\times 3 \\text{ eggs/flan} = 45 \\text{ eggs}$.\n\n2. **Calculate the number of times she needs to babysit:**\n Each time she babysits, she receives a basket of 9 eggs.\n Number of babysitting sessions = $\\text{Total eggs} \\div \\text{eggs per basket}$\n Number of babysitting sessions = $45 \\div 9 = 5$.\n\nSandra needs to babysit 5 times to get enough eggs.\n\nAnswer: 5", "usage": {"prompt_tokens": 90, "completion_tokens": 200, "total_tokens": 290}, "error": null, "prior_errors": 0, "t0": 1793306181.861, "t1": 1793306260.922, "s": 79.06} +{"seq": 114, "idx": 168, "ok": true, "gold": "18", "reply": "To find out how much money Jimmy has, we can follow these steps:\n\n1. **Identify the amount Ethel has:**\n Ethel has $8.\n\n2. **Translate the relationship between Jimmy's money and Ethel's money into a mathematical expression:**\n The problem states Jimmy has \"$2 more than twice the money Ethel has.\"\n * \"Twice the money Ethel has\" = $2 \\times \\text{Ethel's money}$\n * \"$2 more than\" = $+ 2$\n * So, Jimmy's money = $(2 \\times \\text{Ethel's money}) + 2$\n\n3. **Substitute Ethel's amount into the expression:**\n Jimmy's money = $(2 \\times 8) + 2$\n\n4. **Perform the calculations:**\n * $2 \\times 8 = 16$\n * $16 + 2 = 18$\n\nJimmy has $18.\n\nAnswer: 18", "usage": {"prompt_tokens": 55, "completion_tokens": 227, "total_tokens": 282}, "error": null, "prior_errors": 0, "t0": 1793306184.362, "t1": 1793306272.781, "s": 88.42} +{"seq": 115, "idx": 157, "ok": true, "gold": "80", "reply": "To find out how much farther the winner runs than the loser, we need to calculate the total distance run by Blake and the total distance run by Kelly.\n\n**1. Calculate Blake's distance:**\nThe football field is 100 yards long. Running \"back and forth\" once means traveling from one end to the other and back to the start.\nOne \"back and forth\" trip = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\nBlake runs back and forth 15 times.\nTotal distance for Blake = $15 \\times 200 \\text{ yards} = 3000 \\text{ yards}$.\n\n**2. Calculate Kelly's distance:**\nKelly's run consists of two parts:\n- Part 1: She runs back and forth once.\n Distance = $100 \\text{ yards} \\times 2 = 200 \\text{ yards}$.\n- Part 2: She runs from the start to the 40-yard line and back.\n Distance per trip = $40 \\text{ yards (to the line)} + 40 \\text{ yards (back)} = 80 \\text{ yards}$.\n She does this 34 times.\n Distance for Part 2 = $34 \\times 80 \\text{ yards} = 2720 \\text{ yards}$.\n\nTotal distance for Kelly = $200 \\text{ yards} + 2720 \\text{ yards} = 2920 \\text{ yards}$.\n\n**3. Determine the winner and the difference:**\nBlake's distance = $3000 \\text{ yards}$.\nKelly's distance = $2920 \\text{ yards}$.\nBlake is the winner.\nDifference = $3000 \\text{ yards} - 2920 \\text{ yards} = 80 \\text{ yards}$.\n\nAnswer: 80", "usage": {"prompt_tokens": 134, "completion_tokens": 436, "total_tokens": 570}, "error": null, "prior_errors": 0, "t0": 1793306104.841, "t1": 1793306275.172, "s": 170.33} +{"seq": 116, "idx": 159, "ok": false, "gold": "15", "reply": "To find out how many tadpoles Finn can see now, we follow the sequence of events:\n\n1. **Initial amount:** Finn starts by watching **11** tadpoles.\n2. **Tadpoles coming out of hiding:** He sees 6 of them come out of hiding. However, these 6 were already part of the 11 he was watching (they were just \"hiding\" within the group he was observing). The problem asks how many he can see *now* based on the movement described.\n3. **Wait, let's re-read carefully:** The problem states he \"watches 11 tadpoles\". This implies he can already see them. The movement of 6 coming out of hiding doesn't change the total count of visible tadpoles; it just describes their movement.\n4. **Tadpoles hiding:** Then, he sees 2 of them hide under a rock. Since they were visible and now they are hidden, they are no longer visible to him.\n5. **Calculation:**\n * Starting visible tadpoles: 11\n * Tadpoles coming out of hiding: +0 (they were already part of the 11 he was watching)\n * Tadpoles hiding: -2\n * Total visible: 11 - 2 = 9\n\nAlternatively, if the 11 were the total in the pond and the 6 coming out of hiding were previously invisible, the wording \"Finn watches 11 tadpoles\" implies they were already visible. If the 6 were *additional* to the 11, the wording would usually say \"Finn sees 11 tadpoles... then 6 more come out.\" Since it says he watches 11, and then 6 of *them* (the 11) come out of hiding, the 11 is the base number.\n\nCalculation: 11 - 2 = 9.\n\nAnswer: 9", "usage": {"prompt_tokens": 84, "completion_tokens": 421, "total_tokens": 505}, "error": null, "prior_errors": 0, "t0": 1793306112.844, "t1": 1793306277.29, "s": 164.45} +{"seq": 117, "idx": 165, "ok": true, "gold": "77", "reply": "To find out how much money Elvira will have left for her clothing, we need to calculate the total cost of her computer purchases and subtract that from her total budget.\n\n1. **Identify the total budget:**\n Total budget = \u20ac1500\n\n2. **List the costs of the items chosen:**\n * Computer (with screen, keyboard, and mouse): \u20ac1090\n * Scanner: \u20ac157\n * CD burner: \u20ac74\n * Printer: \u20ac102\n\n3. **Calculate the total cost of the items:**\n Total Cost = \u20ac1090 + \u20ac157 + \u20ac74 + \u20ac102\n * \u20ac1090 + \u20ac157 = \u20ac1247\n * \u20ac1247 + \u20ac74 = \u20ac1321\n * \u20ac1321 + \u20ac102 = \u20ac1423\n\n Total Cost = \u20ac1423\n\n4. **Calculate the remaining money:**\n Remaining Money = Total Budget - Total Cost\n Remaining Money = \u20ac1500 - \u20ac1423\n Remaining Money = \u20ac77\n\nElvira will have \u20ac77 left for her clothing.\n\nAnswer: 77", "usage": {"prompt_tokens": 145, "completion_tokens": 286, "total_tokens": 431}, "error": null, "prior_errors": 0, "t0": 1793306173.358, "t1": 1793306285.647, "s": 112.29} +{"seq": 118, "idx": 162, "ok": true, "gold": "92", "reply": "To find the cost of the bag of marbles after 36 months, we follow these steps:\n\n1. **Identify the initial cost and the rate of increase:**\n * Original price ($P_0$) = $20\n * Increase amount = 20% of the original price = $0.20 \\times 20 = \\$4$\n * The price increases by this fixed amount ($4) every two months.\n\n2. **Determine the number of price increases:**\n * Total time = 36 months\n * Interval of increase = 2 months\n * Number of increases ($n$) = $36 / 2 = 18$\n\n3. **Calculate the total increase over the 36-month period:**\n * Since the increase is based on the *original* price (simple interest model), the amount added each time is constant.\n * Total increase = $n \\times (\\text{increase amount})$\n * Total increase = $18 \\times \\$4 = \\$72$\n\n4. **Calculate the final price:**\n * Final Price = Original Price + Total Increase\n * Final Price = $\\$20 + \\$72 = \\$92$\n\n**Alternative calculation method:**\n* Price after 2 months: $20 + 4 = 24$\n* Price after 4 months: $20 + 2(4) = 28$\n* Price after $t$ months (where $t$ is a multiple of 2): $20 + (t/2) \\times 4$\n* For $t = 36$: $20 + (36/2) \\times 4 = 20 + 18 \\times 4 = 20 + 72 = 92$\n\nAnswer: 92", "usage": {"prompt_tokens": 69, "completion_tokens": 418, "total_tokens": 487}, "error": null, "prior_errors": 0, "t0": 1793306132.849, "t1": 1793306294.983, "s": 162.13} +{"seq": 119, "idx": 169, "ok": true, "gold": "120", "reply": "To find the total number of miles Pancho walks in a week, we need to calculate the distance for the weekdays and the distance for the weekend separately.\n\n1. **Identify the number of weekdays and weekend days:**\n * There are 7 days in a week.\n * Weekdays (Monday through Friday) = 5 days.\n * Weekends (Saturday and Sunday) = 2 days.\n\n2. **Calculate the miles walked on weekdays:**\n * Pancho walks 20 miles each weekday.\n * $5 \\text{ days} \\times 20 \\text{ miles/day} = 100 \\text{ miles}$.\n\n3. **Calculate the miles walked on weekends:**\n * Pancho walks 10 miles each weekend day.\n * $2 \\text{ days} \\times 10 \\text{ miles/day} = 20 \\text{ miles}$.\n\n4. **Calculate the total miles for the week:**\n * $\\text{Total miles} = \\text{Weekday miles} + \\text{Weekend miles}$\n * $\\text{Total miles} = 100 + 20 = 120 \\text{ miles}$.\n\nAnswer: 120", "usage": {"prompt_tokens": 60, "completion_tokens": 282, "total_tokens": 342}, "error": null, "prior_errors": 0, "t0": 1793306187.863, "t1": 1793306296.998, "s": 109.14} +{"seq": 120, "idx": 170, "ok": true, "gold": "150", "reply": "To find the total cost of each uniform, we need to calculate the cost of each individual item: the hat, the jacket, and the pants.\n\n1. **Cost of the hat:**\n The problem states the hat costs $25.\n $\\text{Hat} = \\$25$\n\n2. **Cost of the jacket:**\n The jacket costs three times as much as the hat.\n $\\text{Jacket} = 3 \\times \\$25 = \\$75$\n\n3. **Cost of the pants:**\n The pants cost the average of the costs of the hat and the jacket.\n $\\text{Pants} = \\frac{\\text{Hat} + \\text{Jacket}}{2}$\n $\\text{Pants} = \\frac{\\$25 + \\$75}{2} = \\frac{\\$100}{2} = \\$50$\n\n4. **Total cost of the uniform:**\n The total cost is the sum of the costs of the hat, the jacket, and the pants.\n $\\text{Total} = \\text{Hat} + \\text{Jacket} + \\text{Pants}$\n $\\text{Total} = \\$25 + \\$75 + \\$50$\n $\\text{Total} = \\$150$\n\nAnswer: 150", "usage": {"prompt_tokens": 84, "completion_tokens": 297, "total_tokens": 381}, "error": null, "prior_errors": 0, "t0": 1793306194.365, "t1": 1793306308.506, "s": 114.14} +{"seq": 121, "idx": 171, "ok": true, "gold": "1210", "reply": "To find the total number of legs Jake sees, we need to calculate the number of legs for each group and then add them together.\n\n1. **Calculate the legs for the spiders:**\n There are 80 spiders, and each has 8 legs.\n $80 \\times 8 = 640$ legs.\n\n2. **Calculate the legs for the insects:**\n There are 90 insects, and each has 6 legs.\n $90 \\times 6 = 540$ legs.\n\n3. **Calculate the legs for the rare mutant invertebrates:**\n There are 3 invertebrates, and each has 10 legs.\n $3 \\times 10 = 30$ legs.\n\n4. **Calculate the total number of legs:**\n Add the results from the three groups together:\n $640 + 540 + 30$\n\n First, add 640 and 540:\n $640 + 540 = 1180$\n\n Then, add 30:\n $1180 + 30 = 1210$\n\nTotal legs = 1210.\n\nAnswer: 1210", "usage": {"prompt_tokens": 81, "completion_tokens": 281, "total_tokens": 362}, "error": null, "prior_errors": 0, "t0": 1793306204.367, "t1": 1793306312.332, "s": 107.96} +{"seq": 122, "idx": 176, "ok": true, "gold": "100", "reply": "To find the number of girls on the Chinese team, we follow these steps:\n\n1. **Find the total number of Chinese participants:**\n The total number of Asians is 240.\n The number of Japanese participants is 80.\n The number of Chinese participants = Total Asians - Japanese participants\n $\\text{Chinese participants} = 240 - 80 = 160$\n\n2. **Find the number of girls on the Chinese team:**\n The total number of Chinese participants is 160.\n The number of boys on the Chinese team is 60.\n The number of girls on the Chinese team = Total Chinese participants - Chinese boys\n $\\text{Chinese girls} = 160 - 60 = 100$\n\nAnswer: 100", "usage": {"prompt_tokens": 74, "completion_tokens": 182, "total_tokens": 256}, "error": null, "prior_errors": 0, "t0": 1793306249.379, "t1": 1793306318.728, "s": 69.35} +{"seq": 123, "idx": 172, "ok": true, "gold": "51", "reply": "To find the total age of the four birds, we need to determine the age of each bird based on the information provided.\n\n1. **Identify the age of Sally Thirtytwo:**\n The problem states that Sally Thirtytwo is 8 years old.\n * Sally Thirtytwo = 8\n\n2. **Identify the age of Sally Four:**\n The problem states that Sally Four is the same age as Sally Thirtytwo.\n * Sally Four = 8\n\n3. **Identify the age of Granny Red:**\n The problem states that Granny Red is two times as old as Sally Four.\n * Granny Red = 2 * 8 = 16\n\n4. **Identify the age of Sally Two:**\n The problem states that Sally Two is three years older than Granny Red.\n * Sally Two = 16 + 3 = 19\n\n5. **Calculate the total age of the four birds:**\n Total Age = Sally Two + Granny Red + Sally Four + Sally Thirtytwo\n Total Age = 19 + 16 + 8 + 8\n\n Calculation:\n 19 + 16 = 35\n 35 + 8 = 43\n 43 + 8 = 51\n\nAnswer: 51", "usage": {"prompt_tokens": 92, "completion_tokens": 286, "total_tokens": 378}, "error": null, "prior_errors": 0, "t0": 1793306211.369, "t1": 1793306320.881, "s": 109.51} +{"seq": 124, "idx": 175, "ok": true, "gold": "15", "reply": "To find out how much they spent on lemons, we first need to determine how many gallons of lemonade they made.\n\n**1. Calculate the cost and revenue per gallon:**\n* **Cost per gallon:** $3 (lemons) + $2 (sugar) = $5\n* **Revenue per gallon:** 20 glasses \u00d7 $0.50 per glass = $10\n* **Profit per gallon:** $10 (revenue) - $5 (cost) = $5\n\n**2. Calculate the number of gallons made:**\nWe know the total profit was $25. Since each gallon yields $5 in profit:\n* **Gallons made:** $25 (total profit) / $5 (profit per gallon) = 5 gallons\n\n**3. Calculate the total spent on lemons:**\nThe cost for lemons was $3 per gallon.\n* **Total spent on lemons:** 5 gallons \u00d7 $3 per gallon = $15\n\nAnswer: 15", "usage": {"prompt_tokens": 91, "completion_tokens": 213, "total_tokens": 304}, "error": null, "prior_errors": 0, "t0": 1793306247.378, "t1": 1793306329.427, "s": 82.05} +{"seq": 125, "idx": 178, "ok": true, "gold": "122", "reply": "To find the total number of crabs, we need to determine how many crabs each person has and then sum them up.\n\n1. **Find Bo's crabs:**\n Bo has 40 crabs.\n\n2. **Find Monic's crabs:**\n Monic has 4 fewer crabs than Bo.\n Monic = 40 - 4 = 36 crabs.\n\n3. **Find Rani's crabs:**\n Rani has ten more crabs than Monic.\n Rani = 36 + 10 = 46 crabs.\n\n4. **Calculate the total number of crabs:**\n Total = Bo + Monic + Rani\n Total = 40 + 36 + 46\n\n Adding them step by step:\n 40 + 36 = 76\n 76 + 46 = 122\n\nAnswer: 122", "usage": {"prompt_tokens": 67, "completion_tokens": 204, "total_tokens": 271}, "error": null, "prior_errors": 0, "t0": 1793306261.382, "t1": 1793306338.906, "s": 77.52} +{"seq": 126, "idx": 179, "ok": true, "gold": "130", "reply": "To find out how much Lloyd earned for the first two weeks, we can follow these steps:\n\n1. **Calculate the total number of hours tutored:**\n * First week: 5 hours\n * Second week: 8 hours\n * Total hours = 5 + 8 = 13 hours\n\n2. **Calculate the total earnings:**\n * Hourly rate: $10 per hour\n * Total earnings = Total hours \u00d7 Hourly rate\n * Total earnings = 13 hours \u00d7 $10/hour = $130\n\nAlternatively, you can calculate the earnings for each week separately:\n* First week earnings: 5 hours \u00d7 $10/hour = $50\n* Second week earnings: 8 hours \u00d7 $10/hour = $80\n* Total earnings = $50 + $80 = $130\n\nAnswer: 130", "usage": {"prompt_tokens": 71, "completion_tokens": 205, "total_tokens": 276}, "error": null, "prior_errors": 0, "t0": 1793306272.885, "t1": 1793306350.43, "s": 77.55} +{"seq": 127, "idx": 167, "ok": true, "gold": "16", "reply": "To solve the problem, we can use algebra.\n\n1. **Define the variables:**\n Let $B$ be Brooke's current age.\n Let $S$ be Seth's current age.\n\n2. **Set up the equations based on the problem statement:**\n * \"Seth is twice as old as Brooke\":\n $S = 2B$\n * \"In 2 years, the sum of their ages will be 28\":\n In 2 years, Seth's age will be $S + 2$ and Brooke's age will be $B + 2$.\n $(S + 2) + (B + 2) = 28$\n\n3. **Simplify the second equation:**\n $S + B + 4 = 28$\n $S + B = 24$\n\n4. **Substitute the first equation into the simplified second equation:**\n Since $S = 2B$, substitute $2B$ for $S$ in the equation $S + B = 24$:\n $2B + B = 24$\n $3B = 24$\n\n5. **Solve for $B$ (Brooke's age):**\n $B = 24 / 3$\n $B = 8$\n\n6. **Solve for $S$ (Seth's age):**\n Using $S = 2B$:\n $S = 2(8)$\n $S = 16$\n\n7. **Verify the answer:**\n Current ages: Seth is 16, Brooke is 8. (Seth is twice as old as Brooke: $16 = 2 \\times 8$. Correct.)\n In 2 years: Seth will be 18, Brooke will be 10.\n Sum in 2 years: $18 + 10 = 28$. (Correct.)\n\nAnswer: 16", "usage": {"prompt_tokens": 58, "completion_tokens": 440, "total_tokens": 498}, "error": null, "prior_errors": 0, "t0": 1793306182.361, "t1": 1793306351.908, "s": 169.55} +{"seq": 128, "idx": 181, "ok": true, "gold": "160", "reply": "To find the number of red roses Fred must deliver, we need to follow these steps:\n\n1. **Find the number of white carnations:**\n We are told that the 200 pink calla lilies are five times the number of white carnations.\n Let $C$ be the number of white carnations.\n $5 \\times C = 200$\n $C = 200 / 5$\n $C = 40$\n\n2. **Find the number of red roses:**\n We are told that Sandra ordered four times as many red roses as white carnations.\n Let $R$ be the number of red roses.\n $R = 4 \\times C$\n $R = 4 \\times 40$\n $R = 160$\n\nSince the problem asks how many red roses must be delivered to complete the order, Fred must deliver 160 red roses.\n\nAnswer: 160", "usage": {"prompt_tokens": 123, "completion_tokens": 218, "total_tokens": 341}, "error": null, "prior_errors": 0, "t0": 1793306277.387, "t1": 1793306359.821, "s": 82.43} +{"seq": 129, "idx": 185, "ok": true, "gold": "30", "reply": "To find the total number of apples picked, we need to follow these steps:\n\n1. **Identify how many apples the mom picked:**\n The problem states the mom picked 20 apples.\n\n2. **Calculate how many apples Jenna picked:**\n The problem states Jenna picked half as many as her mom.\n $20 \\div 2 = 10$ apples.\n\n3. **Calculate the total number of apples picked by both:**\n Add the mom's apples and Jenna's apples together.\n $20 + 10 = 30$ apples.\n\nAnswer: 30", "usage": {"prompt_tokens": 69, "completion_tokens": 137, "total_tokens": 206}, "error": null, "prior_errors": 0, "t0": 1793306308.895, "t1": 1793306361.905, "s": 53.01} +{"seq": 130, "idx": 173, "ok": true, "gold": "18000", "reply": "To find out how much Jessica pays in a year, we first calculate her total monthly minimum payments and then adjust for the 50% increase.\n\n1. **Calculate the total monthly minimum payment:**\n * Student loans: $300\n * Credit card: $200\n * Mortgage: $500\n * Total minimum = $300 + $200 + $500 = $1,000\n\n2. **Calculate the monthly payment with the 50% increase:**\n * Jessica wants to pay 50% more than the minimum.\n * 50% of $1,000 is $1,000 * 0.50 = $500.\n * Total monthly payment = $1,000 + $500 = $1,500.\n *(Alternatively: $1,000 * 1.50 = $1,500)*\n\n3. **Calculate the total annual payment:**\n * There are 12 months in a year.\n * Annual payment = $1,500 * 12\n * $1,500 * 10 = $15,000\n * $1,500 * 2 = $3,000\n * $15,000 + $3,000 = $18,000\n\nAnswer: 18000", "usage": {"prompt_tokens": 112, "completion_tokens": 342, "total_tokens": 454}, "error": null, "prior_errors": 0, "t0": 1793306235.374, "t1": 1793306367.87, "s": 132.5} +{"seq": 131, "idx": 174, "ok": true, "gold": "95", "reply": "To find out how long it will take Billy to finish prepping the potatoes, we need to calculate the time spent per potato and then multiply that by the total number of potatoes.\n\n1. **Calculate the time per potato:**\n * Peeling time: 1 minute and 30 seconds (which is 90 seconds).\n * Cutting time: 5 seconds.\n * Total time per potato = 90 seconds + 5 seconds = 95 seconds.\n\n2. **Calculate the total time for 60 potatoes:**\n * Total time = 60 potatoes \u00d7 95 seconds/potato\n * Total time = 5,700 seconds.\n\n3. **Convert the total time into minutes:**\n * There are 60 seconds in a minute.\n * Total minutes = 5,700 seconds / 60 seconds/minute\n * Total minutes = 95 minutes.\n\nAlternatively, you can calculate the total time in minutes directly:\n* Peeling time per potato: 1.5 minutes.\n* Cutting time per potato: 5 seconds = 5/60 minutes = 1/12 minutes.\n* Total time per potato = 1.5 + 1/12 = 18/12 + 1/12 = 19/12 minutes.\n* Total time for 60 potatoes = 60 * (19/12) = 5 * 19 = 95 minutes.\n\nAnswer: 95", "usage": {"prompt_tokens": 127, "completion_tokens": 347, "total_tokens": 474}, "error": null, "prior_errors": 0, "t0": 1793306240.876, "t1": 1793306374.571, "s": 133.7} +{"seq": 132, "idx": 180, "ok": true, "gold": "20", "reply": "To find the number of votes the loser received, we can follow these steps:\n\n1. **Identify the total number of votes:**\n The total number of students who voted is 80.\n\n2. **Calculate the number of votes the winner received:**\n The winner got $\\frac{3}{4}$ of the votes.\n $\\text{Winner's votes} = \\frac{3}{4} \\times 80$\n $\\text{Winner's votes} = 3 \\times 20 = 60$\n\n3. **Calculate the number of votes the loser received:**\n The loser's votes are the remaining votes from the total.\n $\\text{Loser's votes} = \\text{Total votes} - \\text{Winner's votes}$\n $\\text{Loser's votes} = 80 - 60 = 20$\n\n**Alternative Method:**\nIf the winner got $\\frac{3}{4}$ of the votes, the loser must have received $1 - \\frac{3}{4} = \\frac{1}{4}$ of the votes.\n$\\text{Loser's votes} = \\frac{1}{4} \\times 80 = 20$\n\nAnswer: 20", "usage": {"prompt_tokens": 79, "completion_tokens": 282, "total_tokens": 361}, "error": null, "prior_errors": 0, "t0": 1793306275.386, "t1": 1793306382.756, "s": 107.37} +{"seq": 133, "idx": 177, "ok": true, "gold": "350", "reply": "To find out how much money Zaid has left, we need to calculate each expense step-by-step based on his monthly salary of $6000.\n\n1. **Calculate Rent and Car Fuel expenses:**\n * Rent: $\\frac{1}{4} \\times 6000 = 1500$\n * Car Fuel: $\\frac{1}{3} \\times 6000 = 2000$\n * Total spent on rent and fuel: $1500 + 2000 = 3500$\n\n2. **Calculate the remaining amount after rent and fuel:**\n * Remaining amount: $6000 - 3500 = 2500$\n\n3. **Calculate the donation to charity:**\n * He donates half of the remaining amount: $\\frac{1}{2} \\times 2500 = 1250$\n * Amount left after donation: $2500 - 1250 = 1250$\n\n4. **Calculate the money given to his daughter and wife:**\n * Daughter's expenses: $200$\n * Wife's budget: $700$\n * Total given to family: $200 + 700 = 900$\n\n5. **Calculate the final amount remaining:**\n * Final amount: $1250 - 900 = 350$\n\nAnswer: 350", "usage": {"prompt_tokens": 122, "completion_tokens": 352, "total_tokens": 474}, "error": null, "prior_errors": 0, "t0": 1793306254.38, "t1": 1793306388.802, "s": 134.42} +{"seq": 134, "idx": 190, "ok": true, "gold": "360", "reply": "To find the total number of peaches John collects, we need to follow these steps:\n\n1. **Determine the total time in minutes:**\n John collects peaches for 3 hours. Since there are 60 minutes in one hour:\n $3 \\text{ hours} \\times 60 \\text{ minutes/hour} = 180 \\text{ minutes}$\n\n2. **Calculate the total number of peaches:**\n John collects 2 peaches every minute. To find the total, multiply the total minutes by the rate of collection:\n $180 \\text{ minutes} \\times 2 \\text{ peaches/minute} = 360 \\text{ peaches}$\n\nAnswer: 360", "usage": {"prompt_tokens": 55, "completion_tokens": 158, "total_tokens": 213}, "error": null, "prior_errors": 0, "t0": 1793306339.403, "t1": 1793306399.485, "s": 60.08} +{"seq": 135, "idx": 194, "ok": true, "gold": "10", "reply": "To find out how much change Violetta will get, we need to follow these steps:\n\n1. **Calculate the total cost of the crayons:**\n Violetta needs 5 crayons, and each crayon costs $2.\n Total cost = 5 crayons \u00d7 $2/crayon = $10.\n\n2. **Calculate the change:**\n Violetta prepared $20. To find the change, subtract the total cost from the amount she has.\n Change = $20 - $10 = $10.\n\nAnswer: 10", "usage": {"prompt_tokens": 67, "completion_tokens": 121, "total_tokens": 188}, "error": null, "prior_errors": 0, "t0": 1793306361.909, "t1": 1793306407.907, "s": 46.0} +{"seq": 136, "idx": 191, "ok": true, "gold": "5", "reply": "To find out how many pounds of insects the flock needs per day, follow these steps:\n\n1. **Calculate the total amount of insects needed per week for the whole flock:**\n Each duck needs 3.5 pounds per week.\n There are 10 ducks.\n Total pounds per week = $3.5 \\text{ pounds/duck} \\times 10 \\text{ ducks} = 35 \\text{ pounds per week}$.\n\n2. **Calculate the amount of insects needed per day:**\n There are 7 days in a week.\n Total pounds per day = $\\frac{35 \\text{ pounds}}{7 \\text{ days}} = 5 \\text{ pounds per day}$.\n\nAnswer: 5", "usage": {"prompt_tokens": 66, "completion_tokens": 162, "total_tokens": 228}, "error": null, "prior_errors": 0, "t0": 1793306350.905, "t1": 1793306412.743, "s": 61.84} +{"seq": 137, "idx": 183, "ok": true, "gold": "2", "reply": "To find the difference in time between the two teams, we first calculate the total time for each team.\n\n**Team 1 (Well-rounded team):**\nEach of the four members runs their leg in exactly 55 seconds.\nTotal time = $55 + 55 + 55 + 55 = 220$ seconds.\n\n**Team 2 (Less well-rounded team):**\nThe first runner runs in 60 seconds. Each subsequent runner is 3 seconds faster than the previous one.\n- Runner 1: 60 seconds\n- Runner 2: $60 - 3 = 57$ seconds\n- Runner 3: $57 - 3 = 54$ seconds\n- Runner 4: $54 - 3 = 51$ seconds\n\nTotal time for Team 2 = $60 + 57 + 54 + 51$\n$60 + 57 = 117$\n$117 + 54 = 171$\n$171 + 51 = 222$ seconds.\n\n**Comparison:**\nTeam 1 time: 220 seconds\nTeam 2 time: 222 seconds\n\nThe faster team is Team 1 (since they have the lower time).\nThe difference in time is $222 - 220 = 2$ seconds.\n\nAnswer: 2", "usage": {"prompt_tokens": 165, "completion_tokens": 316, "total_tokens": 481}, "error": null, "prior_errors": 0, "t0": 1793306295.391, "t1": 1793306415.04, "s": 119.65} +{"seq": 138, "idx": 188, "ok": true, "gold": "50", "reply": "To find the number of bags the trader sold, we can follow these steps:\n\n1. **Calculate the total cost per bag:**\n The cost to buy one bag is $20.\n The cost to transport one bag is $2.\n Total cost per bag = $20 + $2 = $22.\n\n2. **Calculate the profit per bag:**\n The selling price per bag is $30.\n The total cost per bag is $22.\n Profit per bag = Selling price - Total cost per bag\n Profit per bag = $30 - $22 = $8.\n\n3. **Calculate the total number of bags sold:**\n The total profit made was $400.\n Since the profit per bag is $8, we divide the total profit by the profit per bag to find the number of bags.\n Number of bags = Total profit / Profit per bag\n Number of bags = $400 / $8 = 50.\n\n**Verification:**\nTotal revenue = 50 bags * $30/bag = $1500\nTotal cost = 50 bags * $22/bag = $1100\nTotal profit = $1500 - $1100 = $400.\n\nAnswer: 50", "usage": {"prompt_tokens": 98, "completion_tokens": 291, "total_tokens": 389}, "error": null, "prior_errors": 0, "t0": 1793306320.898, "t1": 1793306428.312, "s": 107.41} +{"seq": 139, "idx": 189, "ok": true, "gold": "34", "reply": "To find out how much each person paid, we need to calculate the total amount spent and then divide it by the number of people.\n\n**1. Calculate the cost of the tickets:**\nThe cost of 3 tickets is given as $20.25.\n\n**2. Calculate the cost of the food:**\nThe problem states they spent $4.50 less on food than on the tickets.\nCost of food = $20.25 - $4.50 = $15.75.\n\n**3. Calculate the cost of the rides:**\nThey went on 2 different rides, and each ride cost $33.\nCost of rides = 2 * $33 = $66.00.\n\n**4. Calculate the total cost:**\nTotal cost = Cost of tickets + Cost of food + Cost of rides\nTotal cost = $20.25 + $15.75 + $66.00\nTotal cost = $36.00 + $66.00 = $102.00.\n\n**5. Calculate how much each person paid:**\nThere are 3 friends, and they split the costs evenly.\nAmount per person = Total cost / 3\nAmount per person = $102.00 / 3 = $34.00.\n\nAnswer: 34", "usage": {"prompt_tokens": 97, "completion_tokens": 296, "total_tokens": 393}, "error": null, "prior_errors": 0, "t0": 1793306329.901, "t1": 1793306436.732, "s": 106.83} +{"seq": 140, "idx": 196, "ok": true, "gold": "120", "reply": "To find out how many pounds of carrots will not be used, we follow these steps:\n\n1. **Calculate the total amount of carrots distributed:**\n There are 40 restaurants, and each receives 2 pounds of carrots.\n Total distributed = $40 \\text{ restaurants} \\times 2 \\text{ pounds/restaurant} = 80 \\text{ pounds}$.\n\n2. **Calculate the remaining amount of carrots:**\n The initial amount of carrots is 200 pounds.\n Remaining amount = $\\text{Initial amount} - \\text{Total distributed}$\n Remaining amount = $200 \\text{ pounds} - 80 \\text{ pounds} = 120 \\text{ pounds}$.\n\nThe amount of carrots that will not be used is 120 pounds.\n\nAnswer: 120", "usage": {"prompt_tokens": 70, "completion_tokens": 184, "total_tokens": 254}, "error": null, "prior_errors": 0, "t0": 1793306374.912, "t1": 1793306438.595, "s": 63.68} +{"seq": 141, "idx": 195, "ok": true, "gold": "12", "reply": "To find the cost of 8 pens, we first need to determine the cost of a single pen.\n\n1. **Calculate the cost of one pen:**\n The problem states that a pen costs as much as a pencil and an eraser combined.\n Cost of a pencil = $1.20\n Cost of an eraser = $0.30\n Cost of one pen = $1.20 + $0.30 = $1.50\n\n2. **Calculate the cost of 8 pens:**\n Now, multiply the cost of one pen by 8.\n Cost of 8 pens = $1.50 \u00d7 8\n\n Calculation:\n 1.50 \u00d7 2 = 3.00\n 3.00 \u00d7 4 = 12.00\n (Or: 1.5 \u00d7 8 = 12)\n\nThe cost of 8 pens is $12.00.\n\nAnswer: 12.00", "usage": {"prompt_tokens": 67, "completion_tokens": 220, "total_tokens": 287}, "error": null, "prior_errors": 0, "t0": 1793306367.911, "t1": 1793306443.405, "s": 75.49} +{"seq": 142, "idx": 193, "ok": true, "gold": "24", "reply": "To find the number of pink and white flamingos, we follow the timeline of events:\n\n1. **Friday morning:**\n The neighbors place 18 pink flamingos in the yard.\n * Pink: 18\n * White: 0\n\n2. **Saturday morning:**\n The neighbors take back one third of the flamingos.\n * One third of 18 is $18 \\div 3 = 6$.\n * Remaining pink flamingos: $18 - 6 = 12$.\n * The 6 flamingos are painted white and put back.\n * Current count: Pink = 12, White = 6.\n\n3. **Sunday morning:**\n The neighbors add another 18 pink flamingos.\n * New pink count: $12 + 18 = 30$.\n * White count remains: 6.\n\n4. **Calculating the difference at noon on Sunday:**\n We need to find how many more pink flamingos there are than white flamingos.\n * Difference = Pink - White\n * Difference = $30 - 6 = 24$.\n\nAnswer: 24", "usage": {"prompt_tokens": 151, "completion_tokens": 272, "total_tokens": 423}, "error": null, "prior_errors": 0, "t0": 1793306359.908, "t1": 1793306452.349, "s": 92.44} +{"seq": 143, "idx": 192, "ok": true, "gold": "91", "reply": "To find the number of trees Tom has left, we follow these steps:\n\n1. **Calculate the net growth per year:**\n Tom plants 10 trees and chops down 2 trees each year.\n Net growth = $10 - 2 = 8$ trees per year.\n\n2. **Calculate the total number of trees after 10 years:**\n He starts with 50 trees.\n Over 10 years, the growth is $8 \\text{ trees/year} \\times 10 \\text{ years} = 80$ trees.\n Total trees before any dying = $50 (\\text{initial}) + 80 (\\text{growth}) = 130$ trees.\n\n3. **Calculate how many trees die:**\n After 10 years, 30% of the trees die.\n Number of trees that die = $30\\% \\text{ of } 130 = 0.30 \\times 130 = 39$ trees.\n\n4. **Calculate the remaining trees:**\n Remaining trees = Total trees - Trees that died\n Remaining trees = $130 - 39 = 91$ trees.\n\nAlternatively, if 30% die, 70% remain:\n$130 \\times 0.70 = 91$ trees.\n\nAnswer: 91", "usage": {"prompt_tokens": 84, "completion_tokens": 311, "total_tokens": 395}, "error": null, "prior_errors": 0, "t0": 1793306352.406, "t1": 1793306457.071, "s": 104.66} +{"seq": 144, "idx": 187, "ok": false, "gold": "106", "reply": "To find the total amount Mandy owes Benedict, we need to calculate the interest accumulated over 3 months. There are two ways to interpret \"monthly interest\": simple interest or compound interest. In most financial contexts involving monthly interest rates, interest is compounded monthly.\n\n**Method 1: Compound Interest (Standard interpretation)**\nThe formula for compound interest is:\n$A = P(1 + r)^n$\n\nWhere:\n* $P$ (Principal) = $100\n* $r$ (Monthly interest rate) = 2% = 0.02\n* $n$ (Number of months) = 3\n\nCalculation:\n1. **Month 1:** $100 \\times 1.02 = \\$102$\n2. **Month 2:** $102 \\times 1.02 = \\$104.04$\n3. **Month 3:** $104.04 \\times 1.02 = \\$106.1208$\n\nRounding to the nearest cent, the amount is **$106.12**.\n\n**Method 2: Simple Interest**\nIf the interest is calculated only on the principal amount each month:\n$A = P + (P \\times r \\times n)$\n\nCalculation:\n1. Interest per month = $100 \\times 0.02 = \\$2$\n2. Total interest for 3 months = $\\$2 \\times 3 = \\$6$\n3. Total amount = $\\$100 + \\$6 = \\$106$\n\nIn standard financial problems of this type, interest is typically compounded. Following the compound interest calculation:\n$100 \\times (1.02)^3 = 100 \\times 1.061208 = 106.1208$\n\nRounding to two decimal places (standard for currency):\n$106.12\n\nAnswer: 106.12", "usage": {"prompt_tokens": 68, "completion_tokens": 442, "total_tokens": 510}, "error": null, "prior_errors": 0, "t0": 1793306318.898, "t1": 1793306467.329, "s": 148.43} +{"seq": 145, "idx": 197, "ok": true, "gold": "6277", "reply": "To find the number of children in the city of Soda, we need to subtract the number of men and the number of women from the total population.\n\n1. **Identify the total population:**\n Total population = 23,786\n\n2. **Identify the number of adults (men and women):**\n Number of men = 8,417\n Number of women = 9,092\n\n3. **Calculate the total number of adults:**\n Total adults = 8,417 + 9,092\n 8,417 + 9,092 = 17,509\n\n4. **Calculate the number of children:**\n Number of children = Total population - Total adults\n Number of children = 23,786 - 17,509\n\n Performing the subtraction:\n 23,786\n - 17,509\n ---------\n 6,277\n\nAlternatively, you can subtract them step by step:\n23,786 - 8,417 = 15,369\n15,369 - 9,092 = 6,277\n\nThere are 6,277 kids in Soda.\n\nAnswer: 6277", "usage": {"prompt_tokens": 81, "completion_tokens": 297, "total_tokens": 378}, "error": null, "prior_errors": 0, "t0": 1793306382.914, "t1": 1793306472.117, "s": 89.2} +{"seq": 146, "idx": 186, "ok": true, "gold": "5", "reply": "To find the number of rats in each cage, we can set up an equation based on the information provided.\n\n1. **Identify the variables and constants:**\n * Let $x$ be the number of rats in each of the 3 cages.\n * Number of rats = $3x$.\n * Straw per rat = 6 pieces.\n * Total straw for rats = $3x \\times 6 = 18x$.\n\n2. **Analyze the hamster information:**\n * There are 10 cages of hamsters, and each cage contains one hamster (since they are \"kept alone\").\n * Number of hamsters = 10.\n * Straw per hamster = 5 pieces.\n * Total straw for hamsters = $10 \\times 5 = 50$ pieces.\n\n3. **Analyze the rabbit information:**\n * Total straw for rabbits = 20 pieces.\n\n4. **Set up the total equation:**\n * Total straw distributed = Straw for rats + Straw for hamsters + Straw for rabbits.\n * $160 = 18x + 50 + 20$\n\n5. **Solve for $x$:**\n * $160 = 18x + 70$\n * Subtract 70 from both sides:\n $160 - 70 = 18x$\n $90 = 18x$\n * Divide by 18:\n $x = 90 / 18$\n $x = 5$\n\n6. **Verify the result:**\n * Rats: 3 cages $\\times$ 5 rats/cage = 15 rats. Straw = $15 \\times 6 = 90$.\n * Hamsters: 10 hamsters. Straw = $10 \\times 5 = 50$.\n * Rabbits: Straw = 20.\n * Total: $90 + 50 + 20 = 160$. The total matches the problem statement.\n\nAnswer: 5", "usage": {"prompt_tokens": 143, "completion_tokens": 488, "total_tokens": 631}, "error": null, "prior_errors": 0, "t0": 1793306312.396, "t1": 1793306473.629, "s": 161.23} +{"seq": 147, "idx": 198, "ok": true, "gold": "320", "reply": "To find the total number of Pokemon cards Elaine has now, we need to calculate the number of cards collected in each period and then sum them up.\n\n1. **Initial amount:**\n Elaine starts with 20 cards.\n\n2. **First month:**\n She collected three times her initial number.\n $20 \\times 3 = 60$ cards.\n\n3. **Second month:**\n She collected 20 fewer cards than she collected in the first month.\n $60 - 20 = 40$ cards.\n\n4. **Third month:**\n She collected twice the combined number of cards from the first and second months.\n First month + Second month = $60 + 40 = 100$ cards.\n Third month = $100 \\times 2 = 200$ cards.\n\n5. **Total number of cards:**\n To find the total, we add the initial amount and the cards collected in each of the three months:\n Initial: 20\n Month 1: 60\n Month 2: 40\n Month 3: 200\n Total = $20 + 60 + 40 + 200 = 320$ cards.\n\nAnswer: 320", "usage": {"prompt_tokens": 105, "completion_tokens": 297, "total_tokens": 402}, "error": null, "prior_errors": 0, "t0": 1793306388.916, "t1": 1793306475.166, "s": 86.25} +{"seq": 148, "idx": 199, "ok": true, "gold": "7500", "reply": "To find out how much Mark makes in a week, we can follow these steps:\n\n1. **Identify the number of sentences per publisher:**\n Mark edits a total of 1000 sentences each week. He edits an equal number of sentences for each of the two publishers.\n Sentences per publisher = $1000 / 2 = 500$ sentences.\n\n2. **Determine the pay rate for each publisher:**\n * Publisher A pays 5 cents per sentence.\n * Publisher B pays twice what Publisher A pays.\n Rate for Publisher B = $5 \\text{ cents} \\times 2 = 10 \\text{ cents per sentence}$.\n\n3. **Calculate the earnings from each publisher:**\n * Earnings from Publisher A = $500 \\text{ sentences} \\times 5 \\text{ cents/sentence} = 2500 \\text{ cents}$.\n * Earnings from Publisher B = $500 \\text{ sentences} \\times 10 \\text{ cents/sentence} = 5000 \\text{ cents}$.\n\n4. **Calculate the total weekly earnings:**\n Total earnings = $2500 \\text{ cents} + 5000 \\text{ cents} = 7500 \\text{ cents}$.\n\nAnswer: 7500", "usage": {"prompt_tokens": 108, "completion_tokens": 301, "total_tokens": 409}, "error": null, "prior_errors": 0, "t0": 1793306399.919, "t1": 1793306480.374, "s": 80.46} +{"seq": 149, "idx": 184, "ok": false, "gold": "25", "reply": "To find the difference in likelihood, we first calculate the probability of each event.\n\n**Step 1: Calculate the probability of rolling a number greater than 3.**\nA standard six-sided die has the outcomes: $\\{1, 2, 3, 4, 5, 6\\}$.\nThe numbers greater than 3 are $\\{4, 5, 6\\}$.\nThere are 3 favorable outcomes out of 6 possible outcomes.\n$P(\\text{greater than 3}) = \\frac{3}{6} = \\frac{1}{2} = 0.5$ (or 50%).\n\n**Step 2: Calculate the probability of rolling two even numbers in a row.**\nThe even numbers on a die are $\\{2, 4, 6\\}$.\nThe probability of rolling an even number in a single roll is $\\frac{3}{6} = \\frac{1}{2}$.\nSince the rolls are independent, the probability of rolling two even numbers in a row is:\n$P(\\text{two even numbers}) = \\frac{1}{2} \\times \\frac{1}{2} = \\frac{1}{4} = 0.25$ (or 25%).\n\n**Step 3: Calculate how much more likely the first event is than the second.**\nThe question asks how much more likely the first event is than the second, expressed as a percentage.\nDifference in probability = $0.5 - 0.25 = 0.25$.\n\nTo express this as a percentage of the second event (how much more likely):\n$\\text{Percentage increase} = \\frac{\\text{Difference}}{\\text{Base Value}} \\times 100\\%$\n$\\text{Percentage increase} = \\frac{0.5 - 0.25}{0.25} \\times 100\\% = \\frac{0.25}{0.25} \\times 100\\% = 100\\%$.\n\nAlternatively, if the question asks for the difference in percentage points:\n$50\\% - 25\\% = 25\\%$.\n\nHowever, in mathematical phrasing \"How much more likely is A than B\", it typically refers to the relative increase: $\\frac{A-B}{B} \\times 100$.\n$A = 50\\%$\n$B = 25\\%$\n$\\frac{50-25}{25} \\times 0{100} = 100\\%$.\n\nIf we interpret \"How much more likely\" as the difference in their probability values expressed as a percentage of the total:\n$50\\% - 25\\% = 25\\%$.\n\nLooking at standard phrasing for such problems:\nIf $P(A) = 0.5$ and $P(B) = 0.25$, $A$ is twice as likely as $B$.\n\"Twice as likely\" is equivalent to being $100\\%$ more likely.\n\nAnswer: 100", "usage": {"prompt_tokens": 70, "completion_tokens": 659, "total_tokens": 729}, "error": null, "prior_errors": 0, "t0": 1793306297.392, "t1": 1793306490.953, "s": 193.56} +{"seq": 150, "idx": 182, "ok": true, "gold": "23", "reply": "To solve the problem, we need to analyze the information provided.\n\n1. **Identify the given information:**\n * Jean is two years older than Mark.\n * Two years ago, Mark was 5 years older than half of Jan's age at that time.\n * The problem asks: \"If Jan is 30 how old is Jean?\"\n\n2. **Analyze the question carefully:**\n The question asks: \"If Jan is 30 how old is Jean?\"\n The first sentence states: \"Jean is two years older than Mark.\"\n The second sentence provides a relationship between Mark and Jan from two years ago.\n\n3. **Evaluate the consistency of the data:**\n Let's check if the information provided is consistent or if it's a trick question.\n * If Jan is 30, then Jean's age is not explicitly given as a fixed number relative to Jan, but rather the relationship is between Jean and Mark.\n * Wait, the first sentence says \"Jean is two years older than Mark.\"\n * The second sentence says \"Two years ago Mark was 5 years older than half Jan's age.\"\n * If Jan is 30, then two years ago, Jan was 28.\n * According to the second sentence: Mark's age two years ago = (1/2 * Jan's age two years ago) + 5.\n * Mark's age two years ago = (1/2 * 28) + 5 = 14 + 5 = s19.\n * If Mark was 19 two years ago, Mark is currently 21.\n * The first sentence says Jean is two years older than Mark. So, Jean = 21 + 2 = 23.\n\n4. **Re-reading the prompt to ensure no misinterpretation:**\n \"Jean is two years older than Mark. Two years ago Mark was 5 years older than half Jan's age. If Jan is 30 how old is Jean?\"\n \n Let's re-calculate:\n * Current Jan = 30.\n * Two years ago, Jan was 28.\n * Two years ago, Mark was (28 / 2) + 5 = 14 + 5 = 19.\n * If Mark was 19 two years ago, Mark is currently 21.\n * Jean is two years older than Mark: Jean = 21 + 2 = 23.\n\n Wait, let's check the first sentence again: \"Jean is two years older than Mark.\"\n If Jean is 23 and Mark is 21, this holds true.\n The question asks \"how old is Jean?\"\n Based on the calculation, Jean is 23.\n\n *Self-Correction/Double Check:*\n Is there any ambiguity? \"Jean is two years older than Mark.\" This is a general statement.\n \"Two years ago Mark was 5 years older than half Jan's age.\" This defines the relationship between Mark and Jan.\n If Jan = 30:\n Jan (2 years ago) = 28.\n Mark (2 years ago) = (28/2) + = 14 + 5 = 19.\n Mark (now) = 19 + 2 = 21.\n Jean (now) = Mark (now) + 2 = 21 + 2 = 23.\n\n The logic is consistent.\n\nAnswer: 23", "usage": {"prompt_tokens": 66, 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"lastTransitionTime": "2026-10-29T20:22:44Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "allocatedResources": { + "cpu": "1", + "memory": "333Gi" + }, + "containerID": "containerd://d5551d63d7248e151fa1955972b8f6bce6a507a7523db60647a17d569034b47c", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "ovms", + "ready": true, + "resources": { + "limits": { + "memory": "333Gi" + }, + "requests": { + "cpu": "1", + "memory": "333Gi" + } + }, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T20:22:59Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-qcv2x", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.19.0.2", + "hostIPs": [ + { + "ip": "172.19.0.2" + } + ], + "initContainerStatuses": [ + { + "containerID": "containerd://42ab5ed42c7fe413563599dff5de96c6b7664466acd1b411afb20994fcbf4e8d", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "pull", + "ready": true, + "resources": {}, + "restartCount": 0, + "started": false, + "state": { + "terminated": { + "containerID": "containerd://42ab5ed42c7fe413563599dff5de96c6b7664466acd1b411afb20994fcbf4e8d", + "exitCode": 0, + "finishedAt": "2026-10-29T20:22:58Z", + "reason": "Completed", + "startedAt": "2026-10-29T20:22:58Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-qcv2x", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.9", + "podIPs": [ + { + "ip": "10.42.0.9" + } + ], + "qosClass": "Burstable", + "resources": { + "limits": { + "memory": "333Gi" + }, + "requests": { + "cpu": "975m", + "memory": "333Gi" + } + }, + "startTime": "2026-10-29T20:22:44Z" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/pods.txt b/bench/h54/results/2026-10-29/H54q/hold2/OVB/pods.txt new file mode 100644 index 00000000..02999a64 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +k3d-gpu-agent ovms-bdd984b6b-826v2 1/1 Running 0 35s 10.42.0.9 k3d-k3dgpu-g-h54q-2-server-0 +kube-system coredns-577d995dff-qflvl 1/1 Running 0 56s 10.42.0.8 k3d-k3dgpu-g-h54q-2-server-0 +kube-system helm-install-gateway-api-crd-bqjqg 0/1 Completed 0 56s 10.42.0.6 k3d-k3dgpu-g-h54q-2-server-0 +kube-system local-path-provisioner-6858d854cf-rg7dd 1/1 Running 0 56s 10.42.0.2 k3d-k3dgpu-g-h54q-2-server-0 +kube-system metrics-server-778c4649b4-pqszp 1/1 Running 0 56s 10.42.0.7 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-gc-7d6955597d-5mbhc 1/1 Running 0 56s 10.42.0.4 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-master-74b6cfb7df-vzpk5 1/1 Running 0 56s 10.42.0.3 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-worker-96pwg 1/1 Running 0 56s 10.42.0.5 k3d-k3dgpu-g-h54q-2-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/q.json b/bench/h54/results/2026-10-29/H54q/hold2/OVB/q.json new file mode 100644 index 00000000..891eae96 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/q.json @@ -0,0 +1,36 @@ +{ + "todo": 150, + "answered": 150, + "errors": 0, + "discarded": 0, + "cut": 0, + "not_asked": 0, + "stopped": null, + "end": "queue empty", + "t0": 1793305399.65, + "t1": 1793306497.437, + "first_items": [ + 50, + 51, + 52, + 53, + 54, + 55, + 56, + 57, + 58, + 59, + 60, + 61, + 62, + 63, + 64, + 65, + 66, + 67, + 68, + 69 + ], + "status": "measured", + "reason": "150 answered, 0 errored, 0 cut, 0 not asked (queue empty)" +} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/server.log.gz b/bench/h54/results/2026-10-29/H54q/hold2/OVB/server.log.gz new file mode 100644 index 00000000..59902072 Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold2/OVB/server.log.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold2/OVB/status.json b/bench/h54/results/2026-10-29/H54q/hold2/OVB/status.json new file mode 100644 index 00000000..20a38c2f --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/OVB/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "150 answered, 0 errored, 0 cut, 0 not asked (queue empty)", "at": "2026-10-29T20:41:37Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/apply.log b/bench/h54/results/2026-10-29/H54q/hold2/Vi/apply.log new file mode 100644 index 00000000..ffe427cb --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/apply.log @@ -0,0 +1,5 @@ +namespace/h54 created +configmap/vi-chat-templates created +configmap/vi-config created +service/vi created +deployment.apps/vi created diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/arm.log b/bench/h54/results/2026-10-29/H54q/hold2/Vi/arm.log new file mode 100644 index 00000000..f8986e4d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/arm.log @@ -0,0 +1,2 @@ +2026-10-29T20:53:57Z Vi start (375 s before the item stop) +2026-10-29T20:59:21Z Vi status not_reached: not ready within the 315 s the hold left (boot limit 900 s) diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/boot.json b/bench/h54/results/2026-10-29/H54q/hold2/Vi/boot.json new file mode 100644 index 00000000..0c48ec94 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/boot.json @@ -0,0 +1 @@ +{"apply": 1793307237, "ready": 1793307561, "boot_s": 324, "limit_s": 315} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/delete.log b/bench/h54/results/2026-10-29/H54q/hold2/Vi/delete.log new file mode 100644 index 00000000..b2aff0a0 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/delete.log @@ -0,0 +1,9 @@ +namespace "h54" deleted +configmap "vi-chat-templates" deleted from h54 namespace +configmap "vi-config" deleted from h54 namespace +service "vi" deleted from h54 namespace +deployment.apps "vi" deleted from h54 namespace +No resources found +time="2026-10-29T20:59:27Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T20:59:27Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/deploy.yaml b/bench/h54/results/2026-10-29/H54q/hold2/Vi/deploy.yaml new file mode 100644 index 00000000..690f1b66 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/deploy.yaml @@ -0,0 +1,561 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h54 +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vi-chat-templates + namespace: h54 + labels: + app: vi +data: + tool_chat_template_qwen3coder.jinja: "{% macro render_extra_keys(json_dict, handled_keys)\ + \ %}\n {%- if json_dict is mapping %}\n {%- for json_key in json_dict\ + \ if json_key not in handled_keys %}\n {%- if json_dict[json_key] is\ + \ mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string)\ + \ %}\n {{- '\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson\ + \ | safe) ~ '' }}\n {%- else %}\n \ + \ {{-'\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '' }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n\ + {% endmacro %}\n\n{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message\ + \ = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n\ + {%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{%- if not\ + \ tools is defined %}\n {%- set tools = [] %}\n{%- endif %}\n\n{%- if system_message\ + \ is defined %}\n {{- \"<|im_start|>system\\n\" + system_message }}\n{%- else\ + \ %}\n {%- if tools is iterable and tools | length > 0 %}\n {{- \"<|im_start|>system\\\ + nYou are Qwen, a helpful AI assistant that can interact with a computer to solve\ + \ tasks.\" }}\n {%- endif %}\n{%- endif %}\n{%- if tools is iterable and tools\ + \ | length > 0 %}\n {{- \"\\n\\n# Tools\\n\\nYou have access to the following\ + \ functions:\\n\\n\" }}\n {{- \"\" }}\n {%- for tool in tools %}\n\ + \ {%- if tool.function is defined %}\n {%- set tool = tool.function\ + \ %}\n {%- endif %}\n {{- \"\\n\\n\" ~ tool.name\ + \ ~ \"\" }}\n {%- if tool.description is defined %}\n \ + \ {{- '\\n' ~ (tool.description | trim) ~ '' }}\n\ + \ {%- endif %}\n {{- '\\n' }}\n {%- if tool.parameters\ + \ is defined and tool.parameters is mapping and tool.parameters.properties is\ + \ defined and tool.parameters.properties is mapping %}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- '\\\ + n' }}\n {{- '\\n' ~ param_name ~ '' }}\n\ + \ {%- if param_fields.type is defined %}\n {{-\ + \ '\\n' ~ (param_fields.type | string) ~ '' }}\n {%-\ + \ endif %}\n {%- if param_fields.description is defined %}\n \ + \ {{- '\\n' ~ (param_fields.description | trim)\ + \ ~ '' }}\n {%- endif %}\n {%- set\ + \ handled_keys = ['name', 'type', 'description'] %}\n {{- render_extra_keys(param_fields,\ + \ handled_keys) }}\n {{- '\\n' }}\n {%-\ + \ endfor %}\n {%- endif %}\n {% set handled_keys = ['type', 'properties']\ + \ %}\n {{- render_extra_keys(tool.parameters, handled_keys) }}\n \ + \ {{- '\\n' }}\n {%- set handled_keys = ['type', 'name',\ + \ 'description', 'parameters'] %}\n {{- render_extra_keys(tool, handled_keys)\ + \ }}\n {{- '\\n' }}\n {%- endfor %}\n {{- \"\\n\"\ + \ }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following\ + \ format with NO suffix:\\n\\n\\n\\\ + n\\nvalue_1\\n\\n\\\ + nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\\ + n\\n\\n\\n\\n\\nReminder:\\n- Function\ + \ calls MUST follow the specified format: an inner block\ + \ must be nested within XML tags\\n- Required parameters\ + \ MUST be specified\\n- You may provide optional reasoning for your function call\ + \ in natural language BEFORE the function call, but NOT after\\n- If there is\ + \ no function call available, answer the question like normal with your current\ + \ knowledge and do not tell the user about function calls\\n' }}\n\ + {%- endif %}\n{%- if system_message is defined %}\n {{- '<|im_end|>\\n' }}\n\ + {%- else %}\n {%- if tools is iterable and tools | length > 0 %}\n {{-\ + \ '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in loop_messages\ + \ %}\n {%- if message.role == \"assistant\" and message.tool_calls is defined\ + \ and message.tool_calls is iterable and message.tool_calls | length > 0 %}\n\ + \ {{- '<|im_start|>' + message.role }}\n {%- if message.content\ + \ is defined and message.content is string and message.content | trim | length\ + \ > 0 %}\n {{- '\\n' + message.content | trim + '\\n' }}\n {%-\ + \ endif %}\n {%- for tool_call in message.tool_calls %}\n {%-\ + \ if tool_call.function is defined %}\n {%- set tool_call = tool_call.function\ + \ %}\n {%- endif %}\n {{- '\\n\\n\\n' }}\n {%- if tool_call.arguments is defined\ + \ %}\n {%- for args_name, args_value in tool_call.arguments|items\ + \ %}\n {{- '\\n' }}\n \ + \ {%- set args_value = args_value | tojson | safe if args_value is\ + \ mapping or (args_value is sequence and args_value is not string) else args_value\ + \ | string %}\n {{- args_value }}\n {{-\ + \ '\\n\\n' }}\n {%- endfor %}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {%- endfor %}\n\ + \ {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"user\" or message.role\ + \ == \"system\" or message.role == \"assistant\" %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role\ + \ != \"tool\" %}\n {{- '<|im_start|>user\\n' }}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {{- message.content }}\n \ + \ {{- '\\n\\n' }}\n {%- if not loop.last and loop.nextitem.role\ + \ != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last\ + \ %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n\ + \ {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>\\\ + n' }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{-\ + \ '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_hermes.jinja: "{%- macro json_to_python_type(json_spec) %}\n\ + \ {%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"\ + float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n {%-\ + \ if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type]\ + \ }}\n {%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items)\ + \ + \"]\" }}\n {%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties\ + \ is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties)\ + \ + ']' }}\n {%- else %}\n {{- \"dict\" }}\n {%- endif\ + \ %}\n {%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n\ + \ {%- for t in json_spec.type %}\n {{- json_to_python_type({\"\ + type\": t}) }}\n {%- if not loop.last %}\n {{- \",\"\ + \ }}\n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n\ + \ {%- else %}\n {{- \"Any\" }}\n {%- endif %}\n{%- endmacro %}\n\n\ + \n{{- bos_token }}\n{{- \"<|im_start|>system\\nYou are a function calling AI model.\ + \ You are provided with function signatures within XML tags. You\ + \ may call one or more functions to assist with the user query. Don't make assumptions\ + \ about what values to plug into functions. Here are the available tools: \ + \ \" }}\n{%- if tools is iterable and tools | length > 0 %}\n {%- for tool\ + \ in tools %}\n {%- if tool.function is defined %}\n {%- set\ + \ tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\"\ + , \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n \ + \ {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- param_name\ + \ + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last\ + \ %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor\ + \ %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n \ + \ {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n\ + \ {{- \" - \" + tool.description + \"\\n\\n\" }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {%- if loop.first\ + \ %}\n {{- \" Args:\\n\" }}\n {%- endif %}\n \ + \ {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields)\ + \ + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n \ + \ {%- if tool.return is defined and tool.return.description is defined %}\n \ + \ {{- \"\\n Returns:\\n \" + tool.return.description }}\n\ + \ {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n\ + \ {%- if tool.parameters.properties | length == 0 %}\n {{- \"\ + {}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n \ + \ {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n \ + \ {{- \"\\n\" }}\n {%- endif %}\n {%- endfor %}\n{%- endif %}\n\ + {{- \" \" }}\n{{- 'Use the following pydantic model json schema for each\ + \ tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"\ + type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"\ + }}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\"\ + : \"object\"}}\n' }}\n{{- \"For each function call return a json object with function\ + \ name and arguments within XML tags as follows:\n\" }}\n\ + {{- \"\n\" }}\n{{- '{\"name\": , \"arguments\": }\n\ + ' }}\n{{- '<|im_end|>' }}\n{%- for message in messages %}\n {%-\ + \ if message.role == \"user\" or message.role == \"system\" or (message.role ==\ + \ \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"assistant\" and message.tool_calls is defined %}\n \ + \ {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls\ + \ %}\n {{- '\\n\\n' }}\n {%- if tool_call.function\ + \ is defined %}\n {%- set tool_call = tool_call.function %}\n \ + \ {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"\ + ' }}\n {{- tool_call.name }}\n {{- '\"' }}\n \ + \ {%- if tool_call.arguments is defined %}\n {{- ', ' }}\n \ + \ {{- '\"arguments\": ' }}\n {{- tool_call.arguments|tojson\ + \ }}\n {%- endif %}\n {{- '}' }}\n {{- '\\n'\ + \ }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role\ + \ == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\"\ + \ %}\n {{- '<|im_start|>tool\\n' }}\n {%- endif %}\n \ + \ {{- '\\n' }}\n {{- message.content }}\n {%- if\ + \ not loop.last %}\n {{- '\\n\\n' }}\n {%- else\ + \ %}\n {{- '\\n' }}\n {%- endif %}\n \ + \ {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{-\ + \ '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>'\ + \ }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt\ + \ %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_gemma4.jinja: "{%- macro format_parameters(properties, required,\ + \ filter_keys=false) -%}\n {%- set standard_keys = ['description', 'type',\ + \ 'properties', 'required', 'nullable'] -%}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in properties | dictsort -%}\n {%- set add_comma\ + \ = false -%}\n {%- if not filter_keys or key not in standard_keys -%}\n\ + \ {%- if ns.found_first %},{% endif -%}\n {%- set ns.found_first\ + \ = true -%}\n {{ key }}:{\n {%- if value['description']\ + \ -%}\n description:<|\"|>{{ value['description'] }}<|\"|>\n \ + \ {%- set add_comma = true -%}\n {%- endif -%}\n \ + \ {%- if value['type'] | upper == 'STRING' -%}\n {%- if value['enum']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n enum:{{ format_argument(value['enum'])\ + \ }}\n {%- endif -%}\n {%- elif value['type'] | upper\ + \ == 'ARRAY' -%}\n {%- if value['items'] is mapping and value['items']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n items:{\n {%-\ + \ set ns_items = namespace(found_first=false) -%}\n {%- for\ + \ item_key, item_value in value['items'] | dictsort -%}\n \ + \ {%- if item_value is not none -%}\n {%- if ns_items.found_first\ + \ %},{% endif -%}\n {%- set ns_items.found_first =\ + \ true -%}\n {%- if item_key == 'properties' -%}\n\ + \ properties:{\n \ + \ {%- if item_value is mapping -%}\n {{- format_parameters(item_value,\ + \ value['items']['required'] | default([])) -}}\n \ + \ {%- endif -%}\n }\n \ + \ {%- elif item_key == 'required' -%}\n required:[\n\ + \ {%- for req_item in item_value -%}\n \ + \ <|\"|>{{- req_item -}}<|\"|>\n \ + \ {%- if not loop.last %},{% endif -%}\n \ + \ {%- endfor -%}\n ]\n \ + \ {%- elif item_key == 'type' -%}\n \ + \ {%- if item_value is string -%}\n type:{{\ + \ format_argument(item_value | upper) }}\n {%-\ + \ else -%}\n type:{{ format_argument(item_value\ + \ | map('upper') | list) }}\n {%- endif -%}\n \ + \ {%- else -%}\n {{ item_key\ + \ }}:{{ format_argument(item_value) }}\n {%- endif\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n\ + \ }\n {%- endif -%}\n {%- endif -%}\n\ + \ {%- if value['nullable'] %}\n {%- if add_comma %},{%-\ + \ else -%} {%- set add_comma = true -%} {% endif -%}\n nullable:true\n\ + \ {%- endif -%}\n {%- if value['type'] | upper == 'OBJECT'\ + \ -%}\n {%- if value['properties'] is defined and value['properties']\ + \ is mapping -%}\n {%- if add_comma %},{%- else -%} {%- set\ + \ add_comma = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value['properties'], value['required'] |\ + \ default([])) -}}\n }\n {%- elif value is mapping\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value, value['required'] | default([]), filter_keys=true)\ + \ -}}\n }\n {%- endif -%}\n {%-\ + \ if value['required'] -%}\n {%- if add_comma %},{%- else -%}\ + \ {%- set add_comma = true -%} {% endif -%}\n required:[\n\ + \ {%- for item in value['required'] | default([]) -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {%- if\ + \ not loop.last %},{% endif -%}\n {%- endfor -%}\n \ + \ ]\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif\ + \ -%}\n type:<|\"|>{{ value['type'] | upper }}<|\"|>}\n {%-\ + \ endif -%}\n {%- endfor -%}\n{%- endmacro -%}\n{%- macro format_function_declaration(tool_data)\ + \ -%}\n declaration:{{- tool_data['function']['name'] -}}{description:<|\"\ + |>{{- tool_data['function']['description'] -}}<|\"|>\n {%- set params = tool_data['function']['parameters']\ + \ -%}\n {%- if params -%}\n ,parameters:{\n {%- if params['properties']\ + \ -%}\n properties:{ {{- format_parameters(params['properties'], params['required'])\ + \ -}} },\n {%- endif -%}\n {%- if params['required'] -%}\n \ + \ required:[\n {%- for item in params['required'] -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {{- ',' if not loop.last\ + \ -}}\n {%- endfor -%}\n ],\n {%- endif -%}\n \ + \ {%- if params['type'] -%}\n type:<|\"|>{{- params['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n {%- if 'response'\ + \ in tool_data['function'] -%}\n {%- set response_declaration = tool_data['function']['response']\ + \ -%}\n ,response:{\n {%- if response_declaration['description']\ + \ -%}\n description:<|\"|>{{- response_declaration['description'] -}}<|\"\ + |>,\n {%- endif -%}\n {%- if response_declaration['type'] | upper\ + \ == 'OBJECT' -%}\n type:<|\"|>{{- response_declaration['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n }\n{%- endmacro -%}\n\ + {%- macro format_argument(argument, escape_keys=True) -%}\n {%- if argument\ + \ is none -%}\n {{- 'null' -}}\n {%- elif argument is string -%}\n \ + \ {{- '<|\"|>' + argument + '<|\"|>' -}}\n {%- elif argument is boolean\ + \ -%}\n {{- 'true' if argument else 'false' -}}\n {%- elif argument\ + \ is mapping -%}\n {{- '{' -}}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in argument | dictsort -%}\n {%-\ + \ if ns.found_first %},{% endif -%}\n {%- set ns.found_first = true\ + \ -%}\n {%- if escape_keys -%}\n {{- '<|\"|>' + key\ + \ + '<|\"|>' -}}\n {%- else -%}\n {{- key -}}\n \ + \ {%- endif -%}\n :{{- format_argument(value, escape_keys=escape_keys)\ + \ -}}\n {%- endfor -%}\n {{- '}' -}}\n {%- elif argument is sequence\ + \ -%}\n {{- '[' -}}\n {%- for item in argument -%}\n \ + \ {{- format_argument(item, escape_keys=escape_keys) -}}\n {%- if not\ + \ loop.last %},{% endif -%}\n {%- endfor -%}\n {{- ']' -}}\n \ + \ {%- else -%}\n {{- argument -}}\n {%- endif -%}\n{%- endmacro -%}\n\ + {%- macro strip_thinking(text) -%}\n {%- set ns = namespace(result='') -%}\n\ + \ {%- for part in text.split('') -%}\n {%- if '<|channel>'\ + \ in part -%}\n {%- set ns.result = ns.result + part.split('<|channel>')[0]\ + \ -%}\n {%- else -%}\n {%- set ns.result = ns.result + part\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n {{- ns.result | trim -}}\n\ + {%- endmacro -%}\n\n{%- macro format_tool_response_block(tool_name, response)\ + \ -%}\n {{- '<|tool_response>' -}}\n {%- if response is mapping -%}\n \ + \ {{- 'response:' + tool_name + '{' -}}\n {%- for key, value in response\ + \ | dictsort -%}\n {{- key -}}:{{- format_argument(value, escape_keys=False)\ + \ -}}\n {%- if not loop.last %},{% endif -%}\n {%- endfor -%}\n\ + \ {{- '}' -}}\n {%- else -%}\n {{- 'response:' + tool_name +\ + \ '{value:' + format_argument(response, escape_keys=False) + '}' -}}\n {%-\ + \ endif -%}\n {{- '' -}}\n{%- endmacro -%}\n\n{#- ===== SETUP\ + \ ===== -#}\n{%- set ns = namespace(prev_message_type=None, prev_non_tool_role=None)\ + \ -%}\n{%- set loop_messages = messages -%}\n{%- set enable_thinking = enable_thinking\ + \ | default(false) -%}\n{%- set preserve_thinking = preserve_thinking | default(false)\ + \ -%}\n{{- bos_token -}}\n{#- Handle System/Tool Definitions Block -#}\n{%- if\ + \ enable_thinking or tools or (messages and messages[0]['role'] in ['system',\ + \ 'developer']) -%}\n {{- '<|turn>system\\n' -}}\n {#- Inject Thinking token\ + \ at the very top of the FIRST system turn -#}\n {%- if enable_thinking -%}\n\ + \ {{- '<|think|>\\n' -}}\n {%- set ns.prev_message_type = 'think'\ + \ -%}\n {%- endif -%}\n {%- if messages and messages[0]['role'] in ['system',\ + \ 'developer'] -%}\n {%- if messages[0]['content'] is string -%}\n \ + \ {{- messages[0]['content'] | trim -}}\n {%- elif messages[0]['content']\ + \ is sequence -%}\n {%- for item in messages[0]['content'] -%}\n \ + \ {{- item['text'] | trim + ' '-}}\n {%- endfor -%}\n\ + \ {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n \ + \ {%- endif -%}\n {%- if tools -%}\n {%- for tool in tools %}\n \ + \ {{- '<|tool>' -}}\n {{- format_function_declaration(tool)\ + \ | trim -}}\n {{- '' -}}\n {%- endfor %}\n {%-\ + \ set ns.prev_message_type = 'tool' -%}\n {%- endif -%}\n {{- '\\\ + n' -}}\n{%- endif %}\n\n{#- Pre-scan: find last user message index for reasoning\ + \ guard -#}\n{%- set ns_turn = namespace(last_user_idx=-1) -%}\n{%- for i in range(loop_messages\ + \ | length) -%}\n {%- if loop_messages[i]['role'] == 'user' -%}\n {%-\ + \ set ns_turn.last_user_idx = i -%}\n {%- endif -%}\n{%- endfor -%}\n\n{#-\ + \ Loop through messages -#}\n{%- for message in loop_messages -%}\n {%- if\ + \ message['role'] != 'tool' -%}\n {%- set ns.prev_message_type = None -%}\n\ + \ {%- set role = 'model' if message['role'] == 'assistant' else message['role']\ + \ -%}\n {#- Detect continuation using tracked state \u2014 O(1) instead of\ + \ O(n) backward scan -#}\n {%- set continue_same_model_turn = (role == 'model'\ + \ and ns.prev_non_tool_role == 'assistant') -%}\n {%- if not continue_same_model_turn\ + \ -%}\n {{- '<|turn>' + role + '\\n' }}\n {%- if role == 'model'\ + \ and not enable_thinking and not (message.get('reasoning') or message.get('reasoning_content'))\ + \ -%}\n {{- '<|channel>thought\\n' -}}\n {%- endif\ + \ -%}\n {%- endif -%}\n\n {#- Render reasoning/reasoning_content as thinking\ + \ channel -#}\n {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content')\ + \ -%}\n {%- set thinking_gate = (loop.index0 > ns_turn.last_user_idx) or preserve_thinking\ + \ -%}\n {%- if thinking_text and thinking_gate -%}\n {{- '<|channel>thought\\\ + n' + thinking_text + '\\n' -}}\n {%- endif -%}\n\n {%-\ + \ if message.get('tool_calls') -%}\n {%- for tool_call in message.get('tool_calls')\ + \ -%}\n {%- set function = tool_call['function'] -%}\n \ + \ {{- '<|tool_call>call:' + function['name'] + '{' -}}\n \ + \ {%- if function['arguments'] is mapping -%}\n \ + \ {%- set ns_args = namespace(found_first=false) -%}\n \ + \ {%- for key, value in function['arguments'] | dictsort -%}\n \ + \ {%- if ns_args.found_first %},{% endif -%}\n \ + \ {%- set ns_args.found_first = true -%}\n \ + \ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}\n \ + \ {%- endfor -%}\n {%- elif function['arguments']\ + \ is none -%}\n {%- else -%}\n {{- raise_exception(\n\ + \ \"chat_template: tool_calls[].function.arguments\ + \ must be a \"\n \"JSON object (mapping), not a string.\ + \ Deserialize arguments \"\n \"before passing to the\ + \ template.\"\n ) -}}\n {%- endif -%}\n\ + \ {{- '}' -}}\n {%- endfor -%}\n\ + \ {%- set ns.prev_message_type = 'tool_call' -%}\n {%-\ + \ endif -%}\n\n {%- set ns_tr_out = namespace(flag=false) -%}\n \ + \ {%- if message.get('tool_responses') -%}\n {#- Legacy:\ + \ tool_responses embedded on the assistant message (Google/Gemma native) -#}\n\ + \ {%- for tool_response in message.get('tool_responses') -%}\n\ + \ {{- format_tool_response_block(tool_response['name'] | default('unknown',\ + \ true), tool_response['response']) -}}\n {%- set ns_tr_out.flag\ + \ = true -%}\n {%- set ns.prev_message_type = 'tool_response'\ + \ -%}\n {%- endfor -%}\n {%- elif message.get('tool_calls')\ + \ -%}\n {#- OpenAI Chat Completions: forward-scan consecutive role:tool\ + \ messages -#}\n {%- set ns_tool_scan = namespace(stopped=false)\ + \ -%}\n {%- for k in range(loop.index0 + 1, loop_messages | length)\ + \ -%}\n {%- if ns_tool_scan.stopped -%}\n \ + \ {%- elif loop_messages[k]['role'] != 'tool' -%}\n {%-\ + \ set ns_tool_scan.stopped = true -%}\n {%- else -%}\n \ + \ {%- set follow = loop_messages[k] -%}\n \ + \ {#- Resolve tool_call_id to function name -#}\n \ + \ {%- set ns_tname = namespace(name=follow.get('name') or 'unknown') -%}\n \ + \ {%- for tc in message.get('tool_calls') -%}\n \ + \ {%- if tc.get('id') == follow.get('tool_call_id') -%}\n \ + \ {%- set ns_tname.name = tc['function']['name']\ + \ -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {#- Handle content as string or content-parts\ + \ array -#}\n {%- set tool_body = follow.get('content')\ + \ -%}\n {%- if tool_body is string -%}\n \ + \ {{- format_tool_response_block(ns_tname.name, tool_body) -}}\n\ + \ {%- elif tool_body is sequence and tool_body is not string\ + \ -%}\n {%- set ns_txt = namespace(s='') -%}\n \ + \ {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') == 'text' -%}\n \ + \ {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}\n\ + \ {%- endif -%}\n {%-\ + \ endfor -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ ns_txt.s) -}}\n {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') in ['image', 'image_url']\ + \ -%}\n {{- '<|image|>' -}}\n \ + \ {%- elif part.get('type') in ['audio', 'input_audio'] -%}\n\ + \ {{- '<|audio|>' -}}\n \ + \ {%- elif part.get('type') == 'video' -%}\n \ + \ {{- '<|video|>' -}}\n {%- endif\ + \ -%}\n {%- endfor -%}\n {%-\ + \ else -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ tool_body) -}}\n {%- endif -%}\n \ + \ {%- set ns_tr_out.flag = true -%}\n {%- set ns.prev_message_type\ + \ = 'tool_response' -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {%- endif -%}\n\n {%- set captured_content\ + \ -%}\n {%- if message.get('content') is string -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(message['content'])\ + \ -}}\n {%- else -%}\n {{- message['content']\ + \ | trim -}}\n {%- endif -%}\n {%- elif message.get('content')\ + \ is sequence -%}\n {%- for item in message['content'] -%}\n \ + \ {%- if item.get('type') == 'text' -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(item['text'])\ + \ -}}\n {%- else -%}\n {{- item['text']\ + \ | trim -}}\n {%- endif -%}\n {%- elif\ + \ item.get('type') in ['image', 'image_url'] -%}\n {{-\ + \ '<|image|>' -}}\n {%- elif item.get('type') in ['audio',\ + \ 'input_audio'] -%}\n {{- '<|audio|>' -}}\n \ + \ {%- elif item.get('type') == 'video' -%}\n {{-\ + \ '<|video|>' -}}\n {%- endif -%}\n {%- endfor\ + \ -%}\n {%- endif -%}\n {%- endset -%}\n\n {{-\ + \ captured_content -}}\n {%- set has_content = captured_content | trim\ + \ | length > 0 -%}\n\n {#- Forward-scan: find next non-tool message role\ + \ for continuation detection -#}\n {%- set next_nt = namespace(role=None,\ + \ found=false) -%}\n {%- for j in range(loop.index0 + 1, loop_messages\ + \ | length) -%}\n {%- if not next_nt.found -%}\n {%-\ + \ if loop_messages[j]['role'] != 'tool' -%}\n {%- set next_nt.role\ + \ = loop_messages[j]['role'] -%}\n {%- set next_nt.found =\ + \ true -%}\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- endfor -%}\n\n {%- set continues_into_next = (\n role\ + \ == 'model'\n and next_nt.role == 'assistant'\n and (not\ + \ message.get('tool_calls') or ns_tr_out.flag)\n ) -%}\n\n {%- if\ + \ ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}\n \ + \ {{- '<|tool_response>' -}}\n {%- elif continues_into_next -%}\n \ + \ {{- '\\n' -}}\n {%- elif not (ns_tr_out.flag and not has_content)\ + \ -%}\n {{- '\\n' -}}\n {%- endif -%}\n\n {#- Track\ + \ previous non-tool role for next iteration (avoids O(n) backward scan) -#}\n\ + \ {%- set ns.prev_non_tool_role = message['role'] -%}\n {%- endif -%}\n\ + {%- endfor -%}\n\n{%- if add_generation_prompt -%}\n {%- if ns.prev_message_type\ + \ != 'tool_response' and ns.prev_message_type != 'tool_call' -%}\n {{-\ + \ '<|turn>model\\n' -}}\n {%- if not enable_thinking -%}\n {{-\ + \ '<|channel>thought\\n' -}}\n {%- endif -%}\n {%- elif ns.prev_message_type\ + \ == 'tool_response' and enable_thinking -%}\n {{- '<|channel>thought\\\ + n' -}}\n {%- endif -%}\n{%- endif -%}" +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vi-config + namespace: h54 + labels: + app: vi +data: + http_proxy: '' + https_proxy: '' + no_proxy: '' + TORCHINDUCTOR_CACHE_DIR: /tmp + NUMBA_CACHE_DIR: /tmp + HF_HOME: /data + OUTLINES_CACHE_DIR: /tmp/.cache/outlines + VLLM_NO_USAGE_STATS: '1' + DO_NOT_TRACK: '1' + TRITON_CACHE_DIR: /tmp/.triton + USER: vllm + VLLM_ALLOW_LONG_MAX_MODEL_LEN: '1' + VLLM_CPU_KVCACHE_SPACE: '40' + VLLM_ENGINE_ITERATION_TIMEOUT_S: '120' + VLLM_RPC_TIMEOUT: '100000' + HF_HUB_OFFLINE: '1' + VLLM_CPU_OMP_THREADS_BIND: 0-47 +--- +apiVersion: v1 +kind: Service +metadata: + name: vi + namespace: h54 + labels: + app: vi +spec: + type: ClusterIP + ports: + - name: http + port: 2080 + targetPort: 2080 + protocol: TCP + selector: + app: vi +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: vi + namespace: h54 + labels: + app: vi +spec: + selector: + matchLabels: + app: vi + template: + metadata: + labels: + app: vi + spec: + hostIPC: true + securityContext: null + containers: + - name: vllm + envFrom: + - configMapRef: + name: vi-config + securityContext: + allowPrivilegeEscalation: false + capabilities: + add: + - SYS_NICE + drop: + - ALL + readOnlyRootFilesystem: true + runAsNonRoot: true + runAsUser: 1001 + seccompProfile: + type: RuntimeDefault + image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + imagePullPolicy: IfNotPresent + args: + - --block-size + - '128' + - --dtype + - bfloat16 + - --distributed_executor_backend + - mp + - --enable_chunked_prefill + - --enforce-eager + - --enable-prefix-caching + - --enable-auto-tool-choice + - --tool-call-parser + - gemma4 + - --chat-template + - /workspace/vllm/examples/tool_chat_template_gemma4.jinja + - --tensor-parallel-size + - '1' + - --pipeline-parallel-size + - '1' + - --model + - /data/Intel_gemma-4-26B-A4B-it-int4-AutoRound + - --served-model-name + - google/gemma-4-26B-A4B-it + - --port + - '2080' + - --max-model-len + - '8192' + - --attention-backend + - CPU_ATTN + volumeMounts: + - mountPath: /data + name: model-volume + - mountPath: /dev/shm + name: shm + - mountPath: /tmp + name: tmp + - mountPath: /root/.cache/vllm + name: vllm-cache + - mountPath: /workspace/vllm/examples + name: chat-templates + ports: + - name: http + containerPort: 2080 + protocol: TCP + readinessProbe: + failureThreshold: 200 + httpGet: + path: /health + port: http + initialDelaySeconds: 10 + periodSeconds: 5 + volumes: + - name: model-volume + hostPath: + path: /var/apb-models + type: Directory + - name: shm + emptyDir: + medium: Memory + sizeLimit: 1Gi + - name: tmp + emptyDir: {} + - name: vllm-cache + emptyDir: {} + - name: chat-templates + configMap: + name: vi-chat-templates + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: ei-inference-eligible + operator: In + values: + - 'true' + terminationGracePeriodSeconds: 120 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/describe.txt b/bench/h54/results/2026-10-29/H54q/hold2/Vi/describe.txt new file mode 100644 index 00000000..170a451a --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/describe.txt @@ -0,0 +1,123 @@ +Name: vi-647f5f8cf5-d8hzl +Namespace: h54 +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54q-2-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 20:53:57 +0000 +Labels: app=vi + pod-template-hash=647f5f8cf5 +Annotations: +Status: Running +IP: 10.42.0.11 +IPs: + IP: 10.42.0.11 +Controlled By: ReplicaSet/vi-647f5f8cf5 +Containers: + vllm: + Container ID: containerd://bf1ef7aaef5ba7ac24e3dfbe80acb08a89e9dc52946405d9d04a414383cca740 + Image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Image ID: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Port: 2080/TCP (http) + Host Port: 0/TCP (http) + SeccompProfile: RuntimeDefault + Args: + --block-size + 128 + --dtype + bfloat16 + --distributed_executor_backend + mp + --enable_chunked_prefill + --enforce-eager + --enable-prefix-caching + --enable-auto-tool-choice + --tool-call-parser + gemma4 + --chat-template + /workspace/vllm/examples/tool_chat_template_gemma4.jinja + --tensor-parallel-size + 1 + --pipeline-parallel-size + 1 + --model + /data/Intel_gemma-4-26B-A4B-it-int4-AutoRound + --served-model-name + google/gemma-4-26B-A4B-it + --port + 2080 + --max-model-len + 8192 + --attention-backend + CPU_ATTN + State: Terminated + Reason: Error + Exit Code: 1 + Started: Thu, 29 Oct 2026 20:57:58 +0000 + Finished: Thu, 29 Oct 2026 20:58:50 +0000 + Last State: Terminated + Reason: Error + Exit Code: 1 + Started: Thu, 29 Oct 2026 20:56:44 +0000 + Finished: Thu, 29 Oct 2026 20:57:35 +0000 + Ready: False + Restart Count: 3 + Readiness: http-get http://:http/health delay=10s timeout=1s period=5s #success=1 #failure=200 + Environment Variables from: + vi-config ConfigMap Optional: false + Environment: + Mounts: + /data from model-volume (rw) + /dev/shm from shm (rw) + /root/.cache/vllm from vllm-cache (rw) + /tmp from tmp (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-n5pkk (ro) + /workspace/vllm/examples from chat-templates (rw) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready False + ContainersReady False + PodScheduled True +Volumes: + model-volume: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + shm: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: Memory + SizeLimit: 1Gi + tmp: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + vllm-cache: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + chat-templates: + Type: ConfigMap (a volume populated by a ConfigMap) + Name: vi-chat-templates + Optional: false + kube-api-access-n5pkk: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: BestEffort +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 5m24s default-scheduler Successfully assigned h54/vi-647f5f8cf5-d8hzl to k3d-k3dgpu-g-h54q-2-server-0 + Normal Pulling 5m24s kubelet spec.containers{vllm}: Pulling image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" + Normal Pulled 4m33s kubelet spec.containers{vllm}: Successfully pulled image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" in 50.11s (50.11s including waiting). Image size: 1719072416 bytes. + Warning BackOff 2m50s kubelet spec.containers{vllm}: Back-off restarting failed container vllm in pod vi-647f5f8cf5-d8hzl_h54(2b652500-ab52-4f9c-8303-803d3d2287e2) + Warning Unhealthy 2m2s (x24 over 4m22s) kubelet spec.containers{vllm}: Readiness probe failed: Get "http://10.42.0.11:2080/health": dial tcp 10.42.0.11:2080: connect: connection refused + Normal Created 83s (x4 over 4m33s) kubelet spec.containers{vllm}: Container created + Normal Started 83s (x4 over 4m33s) kubelet spec.containers{vllm}: Container started + Normal Pulled 83s (x3 over 3m42s) kubelet spec.containers{vllm}: Container image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" already present on machine and can be accessed by the pod diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/models.json b/bench/h54/results/2026-10-29/H54q/hold2/Vi/models.json new file mode 100644 index 00000000..e69de29b diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/pf.log b/bench/h54/results/2026-10-29/H54q/hold2/Vi/pf.log new file mode 100644 index 00000000..36299162 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/pf.log @@ -0,0 +1,158 @@ +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:55:01.126733 1513002 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:55:01Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:55:11.141714 1513152 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:55:11Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:55:21.157854 1513446 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:55:21Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:55:31.174974 1513639 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:55:31Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:55:41.192560 1513822 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:55:41Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:55:51.207374 1513982 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:55:51Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:56:01.224037 1514436 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:56:01Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:56:11.240329 1514689 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:56:11Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:56:21.255507 1514946 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:56:21Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:56:31.272507 1515172 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:56:31Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:56:41.289703 1515255 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:56:41Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:56:51.305751 1515319 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:56:51Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:57:01.321929 1515693 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:57:01Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:57:11.338400 1515984 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:57:11Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:57:21.354809 1516273 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:57:21Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:57:31.371210 1516559 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:57:31Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:57:41.386793 1516660 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:57:41Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:57:51.401390 1516727 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:57:51Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:58:01.415831 1516787 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:58:01Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:58:11.431457 1516993 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:58:11Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:58:21.446051 1517434 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:58:21Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:58:31.461930 1517806 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:58:31Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:58:41.477378 1517976 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:58:41Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:58:51.493794 1518128 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:58:51Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:59:01.509572 1518202 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:59:01Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 +Handling connection for 18382 +E1029 20:59:11.525613 1518321 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18382 -> 2080: error forwarding port 2080 to pod 434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-800bccfb-2671-3429-b5d9-91b07dbcdbd7\": failed to connect to localhost:2080 inside namespace \"434c72207f604c71e5d55fd6ac97529481bfc8ac11b1d036acbdb8be0f1a60b2\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T20:59:11Z +Forwarding from 127.0.0.1:18382 -> 2080 +Forwarding from [::1]:18382 -> 2080 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/pods.txt b/bench/h54/results/2026-10-29/H54q/hold2/Vi/pods.txt new file mode 100644 index 00000000..75c1b9b8 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h54 vi-647f5f8cf5-d8hzl 0/1 Error 3 (106s ago) 5m24s 10.42.0.11 k3d-k3dgpu-g-h54q-2-server-0 +kube-system coredns-577d995dff-qflvl 1/1 Running 0 36m 10.42.0.8 k3d-k3dgpu-g-h54q-2-server-0 +kube-system helm-install-gateway-api-crd-bqjqg 0/1 Completed 0 36m 10.42.0.6 k3d-k3dgpu-g-h54q-2-server-0 +kube-system local-path-provisioner-6858d854cf-rg7dd 1/1 Running 0 36m 10.42.0.2 k3d-k3dgpu-g-h54q-2-server-0 +kube-system metrics-server-778c4649b4-pqszp 1/1 Running 0 36m 10.42.0.7 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-gc-7d6955597d-5mbhc 1/1 Running 0 36m 10.42.0.4 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-master-74b6cfb7df-vzpk5 1/1 Running 0 36m 10.42.0.3 k3d-k3dgpu-g-h54q-2-server-0 +node-feature-discovery nfd-worker-96pwg 1/1 Running 0 36m 10.42.0.5 k3d-k3dgpu-g-h54q-2-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/server.log.gz b/bench/h54/results/2026-10-29/H54q/hold2/Vi/server.log.gz new file mode 100644 index 00000000..5df41182 Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold2/Vi/server.log.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold2/Vi/status.json b/bench/h54/results/2026-10-29/H54q/hold2/Vi/status.json new file mode 100644 index 00000000..adaf6321 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/Vi/status.json @@ -0,0 +1 @@ +{"status": "not_reached", "reason": "not ready within the 315 s the hold left (boot limit 900 s)", "at": "2026-10-29T20:59:21Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold2/hold.log b/bench/h54/results/2026-10-29/H54q/hold2/hold.log new file mode 100644 index 00000000..e9741062 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/hold.log @@ -0,0 +1,10 @@ +2026-10-29T20:22:44Z OVB start (2248 s before the item stop) +2026-10-29T20:23:19Z OVB ready after 35 s +2026-10-29T20:23:19Z OVB items: 150 to ask +2026-10-29T20:41:37Z OVB status measured: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T20:41:54Z Lg start (1098 s before the item stop) +2026-10-29T20:42:28Z Lg ready after 34 s +2026-10-29T20:42:28Z Lg items: 150 to ask +2026-10-29T20:53:40Z Lg status measured: 150 answered, 0 errored, 0 cut, 0 not asked (queue empty) +2026-10-29T20:53:57Z Vi start (375 s before the item stop) +2026-10-29T20:59:21Z Vi status not_reached: not ready within the 315 s the hold left (boot limit 900 s) diff --git a/bench/h54/results/2026-10-29/H54q/hold2/node.json b/bench/h54/results/2026-10-29/H54q/hold2/node.json new file mode 100644 index 00000000..b1d4dc27 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/node.json @@ -0,0 +1,293 @@ +{ + "apiVersion": "v1", + "items": [ + { + "apiVersion": "v1", + "kind": "Node", + "metadata": { + "annotations": { + "alpha.kubernetes.io/provided-node-ip": "172.19.0.2", + "flannel.alpha.coreos.com/backend-data": "{\"VNI\":1,\"VtepMAC\":\"ca:2c:c6:47:d4:7c\"}", + "flannel.alpha.coreos.com/backend-type": "vxlan", + "flannel.alpha.coreos.com/kube-subnet-manager": "true", + "flannel.alpha.coreos.com/public-ip": "172.19.0.2", + "k3s.io/hostname": "k3d-k3dgpu-g-h54q-2-server-0", + "k3s.io/internal-ip": "172.19.0.2", + "k3s.io/node-args": "[\"server\",\"--disable\",\"intel-gpu-plugin\",\"--disable\",\"intel-gpu-dra\",\"--disable\",\"nri-balloons\",\"--kubelet-arg\",\"eviction-hard=memory.available\\u003c100Mi,nodefs.available\\u003c1%,imagefs.available\\u003c1%,nodefs.inodesFree\\u003c1%\",\"--disable\",\"traefik\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXFP16=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXTILE=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.CETSS=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXINT8=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.GFNI=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVX512BF16=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.CETIBT=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.SHA=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.VAES=true\",\"--node-label\",\"experimental.k3d-gpu.io/image-volume=true\",\"--node-label\",\"nvidia.com/gpu.present=false\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVXVNNI=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVX512F=true\",\"--node-label\",\"ei-infra-eligible=true\",\"--node-label\",\"ei-inference-eligible=true\",\"--node-label\",\"experimental.k3d-gpu.io/dra=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVX512VNNI=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXBF16=true\",\"--tls-san\",\"0.0.0.0\"]", + "k3s.io/node-config-hash": "N2LBH7WQACHAXK6VY4HVKGDZPJQT2ELKMYAHFHD25AZECODGXSKA====", + "k3s.io/node-env": "{\"K3S_KUBECONFIG_OUTPUT\":\"/output/kubeconfig.yaml\",\"K3S_TOKEN\":\"********\"}", + "nfd.node.kubernetes.io/feature-labels": "cpu-cpuid.ADX,cpu-cpuid.AESNI,cpu-cpuid.AVX,cpu-cpuid.AVX10_128,cpu-cpuid.AVX10_256,cpu-cpuid.AVX10_512,cpu-cpuid.AVX10_VERSION,cpu-cpuid.AVX2,cpu-cpuid.AVX512BITALG,cpu-cpuid.AVX512BW,cpu-cpuid.AVX512CD,cpu-cpuid.AVX512DQ,cpu-cpuid.AVX512FP16,cpu-cpuid.AVX512IFMA,cpu-cpuid.AVX512VBMI,cpu-cpuid.AVX512VBMI2,cpu-cpuid.AVX512VL,cpu-cpuid.AVX512VPOPCNTDQ,cpu-cpuid.BHI_CTRL,cpu-cpuid.CLDEMOTE,cpu-cpuid.CMPSB_SCADBS_SHORT,cpu-cpuid.CMPXCHG8,cpu-cpuid.ENQCMD,cpu-cpuid.FLUSH_L1D,cpu-cpuid.FMA3,cpu-cpuid.FSRM,cpu-cpuid.FXSR,cpu-cpuid.FXSROPT,cpu-cpuid.HRESET,cpu-cpuid.IA32_ARCH_CAP,cpu-cpuid.IA32_CORE_CAP,cpu-cpuid.IBPB,cpu-cpuid.IDPRED_CTRL,cpu-cpuid.LAHF,cpu-cpuid.MCDT_NO,cpu-cpuid.MD_CLEAR,cpu-cpuid.MOVBE,cpu-cpuid.MOVDIR64B,cpu-cpuid.MOVDIRI,cpu-cpuid.MOVSB_ZL,cpu-cpuid.OSXSAVE,cpu-cpuid.PCONFIG,cpu-cpuid.PMU_FIXEDCOUNTER_CYCLES,cpu-cpuid.PMU_FIXEDCOUNTER_INSTRUCTIONS,cpu-cpuid.PMU_FIXEDCOUNTER_REFCYCLES,cpu-cpuid.PMU_FIXEDCOUNTER_TOPDOWN_SLOTS,cpu-cpuid.PREFETCHI,cpu-cpuid.PSFD,cpu-cpuid.RRSBA_CTRL,cpu-cpuid.SERIALIZE,cpu-cpuid.SPEC_CTRL_SSBD,cpu-cpuid.STIBP,cpu-cpuid.STOSB_SHORT,cpu-cpuid.SYSCALL,cpu-cpuid.SYSEE,cpu-cpuid.TME,cpu-cpuid.TSXLDTRK,cpu-cpuid.VMX,cpu-cpuid.VPCLMULQDQ,cpu-cpuid.WAITPKG,cpu-cpuid.WBNOINVD,cpu-cpuid.X86_64_V1,cpu-cpuid.X86_64_V2,cpu-cpuid.X86_64_V3,cpu-cpuid.X86_64_V4,cpu-cpuid.X87,cpu-cpuid.XGETBV1,cpu-cpuid.XSAVE,cpu-cpuid.XSAVEC,cpu-cpuid.XSAVEOPT,cpu-cpuid.XSAVES,cpu-cstate.enabled,cpu-hardware_multithreading,cpu-model.family,cpu-model.hypervisor,cpu-model.id,cpu-model.vendor_id,cpu-pstate.scaling_governor,cpu-pstate.status,cpu-pstate.turbo,gpu.intel.com/device-id.0300-e223.count,gpu.intel.com/device-id.0300-e223.present,gpu.intel.com/family,gpu.intel.com/product,intel.feature.node.kubernetes.io/gpu,kernel-config.NO_HZ,kernel-config.NO_HZ_FULL,kernel-version.full,kernel-version.major,kernel-version.minor,kernel-version.revision,memory-nv.present,pci-0300_1a03.present,pci-0300_8086.present,pci-0300_8086.sriov.capable,pci-0b40_8086.present,pci-0b40_8086.sriov.capable,storage-nonrotationaldisk,system-os_release.ID,system-os_release.VERSION_ID,system-os_release.VERSION_ID.major,system-os_release.VERSION_ID.minor", + "node.alpha.kubernetes.io/ttl": "0", + "volumes.kubernetes.io/controller-managed-attach-detach": "true" + }, + "creationTimestamp": "2026-10-29T20:22:17Z", + "finalizers": [ + "wrangler.cattle.io/node" + ], + "labels": { + "beta.kubernetes.io/arch": "amd64", + "beta.kubernetes.io/instance-type": "k3s", + "beta.kubernetes.io/os": "linux", + "ei-inference-eligible": "true", + "ei-infra-eligible": "true", + "experimental.k3d-gpu.io/dra": "true", + "experimental.k3d-gpu.io/image-volume": "true", + "feature.node.kubernetes.io/cpu-cpuid.ADX": "true", + "feature.node.kubernetes.io/cpu-cpuid.AESNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXBF16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXFP16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXINT8": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXTILE": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_128": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_256": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_512": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX10_VERSION": "1", + "feature.node.kubernetes.io/cpu-cpuid.AVX2": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512BF16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512BITALG": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512BW": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512CD": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512DQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512F": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512FP16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512IFMA": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VBMI": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VBMI2": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VL": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VNNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VPOPCNTDQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVXVNNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.BHI_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.CETIBT": "true", + "feature.node.kubernetes.io/cpu-cpuid.CETSS": "true", + "feature.node.kubernetes.io/cpu-cpuid.CLDEMOTE": "true", + "feature.node.kubernetes.io/cpu-cpuid.CMPSB_SCADBS_SHORT": "true", + "feature.node.kubernetes.io/cpu-cpuid.CMPXCHG8": "true", + "feature.node.kubernetes.io/cpu-cpuid.ENQCMD": "true", + "feature.node.kubernetes.io/cpu-cpuid.FLUSH_L1D": "true", + "feature.node.kubernetes.io/cpu-cpuid.FMA3": "true", + "feature.node.kubernetes.io/cpu-cpuid.FSRM": "true", + "feature.node.kubernetes.io/cpu-cpuid.FXSR": "true", + "feature.node.kubernetes.io/cpu-cpuid.FXSROPT": "true", + "feature.node.kubernetes.io/cpu-cpuid.GFNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.HRESET": "true", + "feature.node.kubernetes.io/cpu-cpuid.IA32_ARCH_CAP": "true", + "feature.node.kubernetes.io/cpu-cpuid.IA32_CORE_CAP": "true", + "feature.node.kubernetes.io/cpu-cpuid.IBPB": "true", + "feature.node.kubernetes.io/cpu-cpuid.IDPRED_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.LAHF": "true", + "feature.node.kubernetes.io/cpu-cpuid.MCDT_NO": "true", + "feature.node.kubernetes.io/cpu-cpuid.MD_CLEAR": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVBE": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVDIR64B": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVDIRI": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVSB_ZL": "true", + "feature.node.kubernetes.io/cpu-cpuid.OSXSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.PCONFIG": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_CYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_INSTRUCTIONS": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_REFCYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_TOPDOWN_SLOTS": "true", + "feature.node.kubernetes.io/cpu-cpuid.PREFETCHI": "true", + "feature.node.kubernetes.io/cpu-cpuid.PSFD": "true", + "feature.node.kubernetes.io/cpu-cpuid.RRSBA_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SERIALIZE": "true", + "feature.node.kubernetes.io/cpu-cpuid.SHA": "true", + "feature.node.kubernetes.io/cpu-cpuid.SPEC_CTRL_SSBD": "true", + "feature.node.kubernetes.io/cpu-cpuid.STIBP": "true", + "feature.node.kubernetes.io/cpu-cpuid.STOSB_SHORT": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSCALL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSEE": "true", + "feature.node.kubernetes.io/cpu-cpuid.TME": "true", + "feature.node.kubernetes.io/cpu-cpuid.TSXLDTRK": "true", + "feature.node.kubernetes.io/cpu-cpuid.VAES": "true", + "feature.node.kubernetes.io/cpu-cpuid.VMX": "true", + "feature.node.kubernetes.io/cpu-cpuid.VPCLMULQDQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.WAITPKG": "true", + "feature.node.kubernetes.io/cpu-cpuid.WBNOINVD": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V1": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V2": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V3": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V4": "true", + "feature.node.kubernetes.io/cpu-cpuid.X87": "true", + "feature.node.kubernetes.io/cpu-cpuid.XGETBV1": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEC": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEOPT": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVES": "true", + "feature.node.kubernetes.io/cpu-cstate.enabled": "true", + "feature.node.kubernetes.io/cpu-hardware_multithreading": "true", + "feature.node.kubernetes.io/cpu-model.family": "6", + "feature.node.kubernetes.io/cpu-model.hypervisor": "none", + "feature.node.kubernetes.io/cpu-model.id": "173", + "feature.node.kubernetes.io/cpu-model.vendor_id": "Intel", + "feature.node.kubernetes.io/cpu-pstate.scaling_governor": "performance", + "feature.node.kubernetes.io/cpu-pstate.status": "active", + "feature.node.kubernetes.io/cpu-pstate.turbo": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ_FULL": "true", + "feature.node.kubernetes.io/kernel-version.full": "7.0.0-31-generic", + "feature.node.kubernetes.io/kernel-version.major": "7", + "feature.node.kubernetes.io/kernel-version.minor": "0", + "feature.node.kubernetes.io/kernel-version.revision": "0", + "feature.node.kubernetes.io/memory-nv.present": "true", + "feature.node.kubernetes.io/pci-0300_1a03.present": "true", + "feature.node.kubernetes.io/pci-0300_8086.present": "true", + "feature.node.kubernetes.io/pci-0300_8086.sriov.capable": "true", + "feature.node.kubernetes.io/pci-0b40_8086.present": "true", + "feature.node.kubernetes.io/pci-0b40_8086.sriov.capable": "true", + "feature.node.kubernetes.io/storage-nonrotationaldisk": "true", + "feature.node.kubernetes.io/system-os_release.ID": "ubuntu", + "feature.node.kubernetes.io/system-os_release.VERSION_ID": "26.04", + "feature.node.kubernetes.io/system-os_release.VERSION_ID.major": "26", + "feature.node.kubernetes.io/system-os_release.VERSION_ID.minor": "04", + "gpu.intel.com/device-id.0300-e223.count": "4", + "gpu.intel.com/device-id.0300-e223.present": "true", + "gpu.intel.com/family": "B_Series", + "gpu.intel.com/product": "Arc_Pro_B70", + "intel.feature.node.kubernetes.io/gpu": "true", + "kubernetes.io/arch": "amd64", + "kubernetes.io/hostname": "k3d-k3dgpu-g-h54q-2-server-0", + "kubernetes.io/os": "linux", + "node-role.kubernetes.io/control-plane": "true", + "node.kubernetes.io/instance-type": "k3s", + "nvidia.com/gpu.present": "false" + }, + "name": "k3d-k3dgpu-g-h54q-2-server-0", + "resourceVersion": "657", + "uid": "e569925e-299e-40f9-8bfd-f1c0e42fcc3f" + }, + "spec": { + "podCIDR": "10.42.0.0/24", + "podCIDRs": [ + "10.42.0.0/24" + ], + "providerID": "k3s://k3d-k3dgpu-g-h54q-2-server-0" + }, + "status": { + "addresses": [ + { + "address": "172.19.0.2", + "type": "InternalIP" + }, + { + "address": "k3d-k3dgpu-g-h54q-2-server-0", + "type": "Hostname" + } + ], + "allocatable": { + "cpu": "96", + "ephemeral-storage": "3687149282645", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "527664744Ki", + "pods": "110" + }, + "capacity": { + "cpu": "96", + "ephemeral-storage": "3724393213952", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "527767144Ki", + "pods": "110" + }, + "conditions": [ + { + "lastHeartbeatTime": "2026-10-29T20:22:27Z", + "lastTransitionTime": "2026-10-29T20:22:17Z", + "message": "kubelet has sufficient memory available", + "reason": "KubeletHasSufficientMemory", + "status": "False", + "type": "MemoryPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:22:27Z", + "lastTransitionTime": "2026-10-29T20:22:17Z", + "message": "kubelet has no disk pressure", + "reason": "KubeletHasNoDiskPressure", + "status": "False", + "type": "DiskPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:22:27Z", + "lastTransitionTime": "2026-10-29T20:22:17Z", + "message": "kubelet has sufficient PID available", + "reason": "KubeletHasSufficientPID", + "status": "False", + "type": "PIDPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:22:27Z", + "lastTransitionTime": "2026-10-29T20:22:17Z", + "message": "kubelet is posting ready status", + "reason": "KubeletReady", + "status": "True", + "type": "Ready" + } + ], + "daemonEndpoints": { + "kubeletEndpoint": { + "Port": 10250 + } + }, + "declaredFeatures": [ + "ExtendWebSocketsToKubelet", + "InPlacePodLevelResourcesVerticalScaling", + "InPlacePodVerticalScalingInitContainers", + "RestartAllContainersOnContainerExits" + ], + "features": { + "supplementalGroupsPolicy": true + }, + "nodeInfo": { + "architecture": "amd64", + "bootID": "d40bd344-edb4-4aee-85a8-20b25e4305e8", + "containerRuntimeVersion": "containerd://2.3.4-k3s1", + "kernelVersion": "7.0.0-31-generic", + "kubeProxyVersion": "", + "kubeletVersion": "v1.37.1+k3s1", + "machineID": "", + "operatingSystem": "linux", + "osImage": "Ubuntu 26.04.1 LTS", + "runningInUserNamespace": false, + "systemUUID": "00000000-0000-0000-0000-7cc255947e5f" + }, + "runtimeHandlers": [ + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "nvidia" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "runc" + }, + { + "features": { + "recursiveReadOnlyMounts": false, + "userNamespaces": false + }, + "name": "runhcs-wcow-process" + } + ] + } + } + ], + "kind": "List", + "metadata": { + "resourceVersion": "" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/hold2/post.txt b/bench/h54/results/2026-10-29/H54q/hold2/post.txt new file mode 100644 index 00000000..3bc2ae1f --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/post.txt @@ -0,0 +1,15 @@ +2026-10-29T20:59:42Z + 20:59:42 up 43 days, 22:14, 10 users, load average: 5.72, 19.48, 35.23 +%CPU PID USER COMMAND +46.3 3900003 root sglang::schedul +44.1 3900352 root sglang::schedul +42.3 529626 root sglang::schedul +40.0 529961 root sglang::schedul +24.7 3898329 root python +17.9 528967 root python +15.7 872705 65532 epp + 2.6 3911 nobody node_exporter + 1.2 3934 root python3 + 1.0 2651 root dockerd +aiperf_procs: 0 +/dev/nvme0n1p1 3637102748 1028388080 2608698284 29% / diff --git a/bench/h54/results/2026-10-29/H54q/hold2/pre.txt b/bench/h54/results/2026-10-29/H54q/hold2/pre.txt new file mode 100644 index 00000000..10aa2e1c --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/pre.txt @@ -0,0 +1,15 @@ +2026-10-29T20:22:11Z + 20:22:11 up 43 days, 21:36, 10 users, load average: 6.92, 32.52, 39.23 +%CPU PID USER COMMAND +46.2 3900003 root sglang::schedul +44.1 3900352 root sglang::schedul +42.1 529626 root sglang::schedul +39.8 529961 root sglang::schedul +24.7 3898329 root python +17.8 528967 root python +15.7 872705 65532 epp + 2.6 3911 nobody node_exporter + 1.2 3934 root python3 + 1.0 2651 root dockerd +aiperf_procs: 0 +/dev/nvme0n1p1 3637102748 1028323548 2608762816 29% / diff --git a/bench/h54/results/2026-10-29/H54q/hold2/rc b/bench/h54/results/2026-10-29/H54q/hold2/rc new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/rc @@ -0,0 +1 @@ +0 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/reproduce.txt b/bench/h54/results/2026-10-29/H54q/hold2/reproduce.txt new file mode 100644 index 00000000..6227687c --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/reproduce.txt @@ -0,0 +1,63 @@ +# H54 Reproduce header, 2026-10-29T20:22:11Z +host: 905a08313800 +cpu: Intel(R) Xeon(R) 6741P; 96 CPUs; sockets 1; NUMA nodes 1 +microcode: 0xa000133 +kernel: 7.0.0-31-generic; cmdline: BOOT_IMAGE=/vmlinuz-7.0.0-31-generic root=UUID=abbc5069-acd3-4ada-977a-807bb52ff382 ro console=tty1 console=ttyS0 +memory: 527767144 kB; swap: 0 kB +governor: performance; smt: 1 +amx: amx_bf16 amx_int8 amx_tile +cpuset: none (no node cpuset; the k3d node container sees every CPU; optimized arms bind threads to 0-47 with the engine's own knob) +docker: 29.8.0 +k3d.real: k3d version v5.9.0 sha256 06d8f25bc3a971c4 +kubectl: Client Version: v1.35.2 sha256 924eb50779153f20 +helm: version.BuildInfo{Version:"v4.1.1", GitCommit:"5caf0044d4ef3d62a955440272999e139aafbbed", GitTreeState:"clean", GoVersion:"go1.25.7", KubeClientVersion:"v1.35"} sha256 c72e64e5fff65d48 +uv: uv 0.8.0 sha256 19af10f031be0587 +repo: 85e77267a059578d412461cf69ebf5680170802b 0 uncommitted +eat: 0d3438d7119de44cafc5903f66665c0b623e3333 +images: + vllm024: vllm/vllm-openai-cpu:v0.24.0@sha256:b0e6f8604413a8bfcca8836bb4b57b47f1aa653957e07f8903ece531309981a1 + vllm032: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + llamacpp: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + sglang: lmsysorg/sglang:v0.5.22-xeon@sha256:4e5c413ed9a31f38f74e18aa9b645d65a0b0a023d42f63edb4e2b412ea1a230f + ovms: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + ovms_eat: 2025.4@sha256:c370720007564bbdcbca13b9b714e4537068542cda512e8095259e66b617962a + node: cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76 +models (revision, from .pinned-revision): + Intel_Qwen3.8-27B-q4km-AutoRound/ Intel/Qwen3.8-27B-q4km-AutoRound 4b30b30e0ac2cc54a2f50738cfccd6c608f94ad4 + Intel_gemma-4-26B-A4B-it-int4-AutoRound/ edff62728a3c79ec541983b86a21674500e0f05b + google_gemma-4-26B-A4B-it-qat-q4_0-gguf/ google/gemma-4-26B-A4B-it-qat-q4_0-gguf d1c082be9cf3c8a514acf63b8761f4b41935842e + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant 9537141506fe8875b3ed45b264af13580cb29166 + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized f1e06dc520982d9b9edd76859fdb7ab209449949 + k3dgpu_gemma-4-26B-A4B-it-qat-int4-sym-g32-ov/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'revision': 'f1e06dc520982d9b9edd76859fdb7ab209449949'} int4 sym, group 32, ratio 1.0 + OpenVINO/gemma-4-26b-a4b-it-int4-ov/ OpenVINO/gemma-4-26b-a4b-it-int4-ov 4e5885c3f03844f5887982def09708bdc9f53f7a + k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant', 'revision': '9537141506fe8875b3ed45b264af13580cb29166'} None + k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'revision': 'f1e06dc520982d9b9edd76859fdb7ab209449949'} int4 sym, group 32, ratio 1.0 +weights sha256: + 3e737281ffb4ba3feae0a7c818a8d56070e97877b4f1a87a4fe89c005b5372ee model-00001-of-00008.safetensors + 5690ee1b23fa4715f90a4f7449176b21539e6f8389d10681931eb12c62633404 model-00002-of-00008.safetensors + 19dc834bdecd207848674ef11b8f149732c9e8d851a8bfa01488dfaf5e11ca20 model-00003-of-00008.safetensors + ed49f933fbfc917ef003a1767bd0fef151255835743a495c67853f38d74eaec1 model-00004-of-00008.safetensors + 6a7e8bd71dc0456368b4b473b283d8e5fcfc563b9386fca4813a216168ada212 model-00005-of-00008.safetensors + 7a9c2d79cd2a2466e34fdf36a51746c6a67547ed27ca70203200e3c4bd1956a9 model-00006-of-00008.safetensors + f25ffc75beeb6f0db75d6d671030598f318a03a87794119d81dfd28382d5e9ce model-00007-of-00008.safetensors + f2333fbf6106311ab5e6e3b7b09046f9792f999e15de75d752ca588e3663ca09 model-00008-of-00008.safetensors + 0f887130aef63545d655ea2addab6168680efe9b6531cbc46c2e2fc599ac8abe OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_language_model.bin + 2d8dfbdcc2174aa6223621502dc566d9e881b7c3db3ff2e1e96a65cee7827edb OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_model.bin + 57fda7ab0340cda71819a3ecd5f9e52e346260fe840fddcc9c87d3614b5a815b OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_per_layer_model.bin + 13c9d8ff37be9592e06e8a9f65e2b047bdc6b24d5bc905c022e4d18996b3c382 OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_vision_embeddings_model.bin + a359953a076b877db30c31dbbb4c6d93b4a6e017ee5db5784247e4d4c0dd4f3b google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B-it-mmproj.gguf + 3eca3b8f6d7baf218a7dd6bba5fb59a56ee25fe2d567b6f5f589b4f697eca51d google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + c082cc581c3ec90d70285c1a41c81544ff56cbc96650f16c900a280940655801 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/model.safetensors + d57e8bde0feda8b0ebf51a81d04b5d988f82fead7f9242d9231625929421453e google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00001-of-00002.safetensors + e5e6e258f562a77be81b0f5136eb2ca71e0d973cf30c4291e4d2c7b1fd712f99 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00002-of-00002.safetensors +data: gsm8k-test-0-199.jsonl 45e54be2df7426cb (openai/gsm8k main test @ 740312ad); ttft-prompt.txt b10cd3c79003d22e +H54q manifests (h54.py q-render, amendment Q2), sha256: + R: 15b0996db0f3e393 + OVQ: 453c8d628025fc6d + OVB: b7840780b78c5c1e + Lg: 720eaf9c5fc252ed + Vi: 95bc51d6588de0af +engine flags (Lg, Lg-mtp, Sg as rendered; B1g/Vq/Vi/A1o/A1g/B3g in each arm's deploy.yaml): + Lg: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 48 -Cr 0-47 --cpu-strict 1 --jinja + Lg-mtp: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 48 -Cr 0-47 --cpu-strict 1 --jinja -md /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf --spec-type draft-mtp + Sg: python3 -m sglang.launch_server --model-path /models/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized --device cpu --attention-backend intel_amx --tp 1 --host 0.0.0.0 --port 30000 --served-model-name gemma --max-total-tokens 65536 SGLANG_CPU_OMP_THREADS_BIND=0-47 diff --git a/bench/h54/results/2026-10-29/H54q/hold2/serving.jsonl.gz b/bench/h54/results/2026-10-29/H54q/hold2/serving.jsonl.gz new file mode 100644 index 00000000..ad2394a7 Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold2/serving.jsonl.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold2/up.log b/bench/h54/results/2026-10-29/H54q/hold2/up.log new file mode 100644 index 00000000..17577555 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/up.log @@ -0,0 +1,28 @@ +==> Accelerators: amx +==> Experimental features (auto): dra image-volume +==> Creating k3d cluster 'k3dgpu-g-h54q-2' with image cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76... +INFO[0000] Prep: Network +INFO[0000] Created network 'k3d-k3dgpu-g-h54q-2' +INFO[0000] Created image volume k3d-k3dgpu-g-h54q-2-images +INFO[0000] Starting new tools node... +INFO[0000] Starting node 'k3d-k3dgpu-g-h54q-2-tools' +INFO[0001] Creating node 'k3d-k3dgpu-g-h54q-2-server-0' +INFO[0001] Using the k3d-tools node to gather environment information +INFO[0001] HostIP: using network gateway 172.19.0.1 address +INFO[0001] Starting cluster 'k3dgpu-g-h54q-2' +INFO[0001] Starting servers... +INFO[0001] Starting node 'k3d-k3dgpu-g-h54q-2-server-0' +INFO[0004] All agents already running. +INFO[0004] All helpers already running. +INFO[0004] Injecting records for hostAliases (incl. host.k3d.internal) and for 1 network members into CoreDNS configmap... +INFO[0006] Cluster 'k3dgpu-g-h54q-2' created successfully! +INFO[0006] --kubeconfig-update-default=false --> sets --kubeconfig-switch-context=false +INFO[0006] You can now use it like this: +export KUBECONFIG=$(/home/devcloud/k3dgpu-gemma/bin/k3d.real kubeconfig write k3dgpu-g-h54q-2) +kubectl cluster-info +==> kubectl for this cluster: export KUBECONFIG=/home/devcloud/k3dgpu-gemma/results/H54q/hold2/kubeconfig +==> Waiting for nodes Ready... +node/k3d-k3dgpu-g-h54q-2-server-0 condition met +==> Waiting for cluster DNS (CoreDNS)... +==> Verifying accelerators are schedulable... +==> Accelerators schedulable: amx=1. Try: k3d-gpu test diff --git a/bench/h54/results/2026-10-29/H54q/hold2/wait_s b/bench/h54/results/2026-10-29/H54q/hold2/wait_s new file mode 100644 index 00000000..52bd8e43 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold2/wait_s @@ -0,0 +1 @@ +120 diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/apply.log b/bench/h54/results/2026-10-29/H54q/hold3/Vi/apply.log new file mode 100644 index 00000000..ffe427cb --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/apply.log @@ -0,0 +1,5 @@ +namespace/h54 created +configmap/vi-chat-templates created +configmap/vi-config created +service/vi created +deployment.apps/vi created diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/arm.log b/bench/h54/results/2026-10-29/H54q/hold3/Vi/arm.log new file mode 100644 index 00000000..f127ee7e --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/arm.log @@ -0,0 +1,2 @@ +2026-10-29T21:00:14Z Vi start (2250 s before the item stop) +2026-10-29T21:15:19Z Vi status not_deliverable: no model list and 16-token chat within 900 s diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/boot.json b/bench/h54/results/2026-10-29/H54q/hold3/Vi/boot.json new file mode 100644 index 00000000..86ae9483 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/boot.json @@ -0,0 +1 @@ +{"apply": 1793307614, "ready": 1793308519, "boot_s": 905, "limit_s": 900} diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/delete.log b/bench/h54/results/2026-10-29/H54q/hold3/Vi/delete.log new file mode 100644 index 00000000..748159e2 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/delete.log @@ -0,0 +1,9 @@ +namespace "h54" deleted +configmap "vi-chat-templates" deleted from h54 namespace +configmap "vi-config" deleted from h54 namespace +service "vi" deleted from h54 namespace +deployment.apps "vi" deleted from h54 namespace +No resources found +time="2026-10-29T21:15:25Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T21:15:25Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/deploy.yaml b/bench/h54/results/2026-10-29/H54q/hold3/Vi/deploy.yaml new file mode 100644 index 00000000..690f1b66 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/deploy.yaml @@ -0,0 +1,561 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h54 +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vi-chat-templates + namespace: h54 + labels: + app: vi +data: + tool_chat_template_qwen3coder.jinja: "{% macro render_extra_keys(json_dict, handled_keys)\ + \ %}\n {%- if json_dict is mapping %}\n {%- for json_key in json_dict\ + \ if json_key not in handled_keys %}\n {%- if json_dict[json_key] is\ + \ mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string)\ + \ %}\n {{- '\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson\ + \ | safe) ~ '' }}\n {%- else %}\n \ + \ {{-'\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '' }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n\ + {% endmacro %}\n\n{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message\ + \ = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n\ + {%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{%- if not\ + \ tools is defined %}\n {%- set tools = [] %}\n{%- endif %}\n\n{%- if system_message\ + \ is defined %}\n {{- \"<|im_start|>system\\n\" + system_message }}\n{%- else\ + \ %}\n {%- if tools is iterable and tools | length > 0 %}\n {{- \"<|im_start|>system\\\ + nYou are Qwen, a helpful AI assistant that can interact with a computer to solve\ + \ tasks.\" }}\n {%- endif %}\n{%- endif %}\n{%- if tools is iterable and tools\ + \ | length > 0 %}\n {{- \"\\n\\n# Tools\\n\\nYou have access to the following\ + \ functions:\\n\\n\" }}\n {{- \"\" }}\n {%- for tool in tools %}\n\ + \ {%- if tool.function is defined %}\n {%- set tool = tool.function\ + \ %}\n {%- endif %}\n {{- \"\\n\\n\" ~ tool.name\ + \ ~ \"\" }}\n {%- if tool.description is defined %}\n \ + \ {{- '\\n' ~ (tool.description | trim) ~ '' }}\n\ + \ {%- endif %}\n {{- '\\n' }}\n {%- if tool.parameters\ + \ is defined and tool.parameters is mapping and tool.parameters.properties is\ + \ defined and tool.parameters.properties is mapping %}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- '\\\ + n' }}\n {{- '\\n' ~ param_name ~ '' }}\n\ + \ {%- if param_fields.type is defined %}\n {{-\ + \ '\\n' ~ (param_fields.type | string) ~ '' }}\n {%-\ + \ endif %}\n {%- if param_fields.description is defined %}\n \ + \ {{- '\\n' ~ (param_fields.description | trim)\ + \ ~ '' }}\n {%- endif %}\n {%- set\ + \ handled_keys = ['name', 'type', 'description'] %}\n {{- render_extra_keys(param_fields,\ + \ handled_keys) }}\n {{- '\\n' }}\n {%-\ + \ endfor %}\n {%- endif %}\n {% set handled_keys = ['type', 'properties']\ + \ %}\n {{- render_extra_keys(tool.parameters, handled_keys) }}\n \ + \ {{- '\\n' }}\n {%- set handled_keys = ['type', 'name',\ + \ 'description', 'parameters'] %}\n {{- render_extra_keys(tool, handled_keys)\ + \ }}\n {{- '\\n' }}\n {%- endfor %}\n {{- \"\\n\"\ + \ }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following\ + \ format with NO suffix:\\n\\n\\n\\\ + n\\nvalue_1\\n\\n\\\ + nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\\ + n\\n\\n\\n\\n\\nReminder:\\n- Function\ + \ calls MUST follow the specified format: an inner block\ + \ must be nested within XML tags\\n- Required parameters\ + \ MUST be specified\\n- You may provide optional reasoning for your function call\ + \ in natural language BEFORE the function call, but NOT after\\n- If there is\ + \ no function call available, answer the question like normal with your current\ + \ knowledge and do not tell the user about function calls\\n' }}\n\ + {%- endif %}\n{%- if system_message is defined %}\n {{- '<|im_end|>\\n' }}\n\ + {%- else %}\n {%- if tools is iterable and tools | length > 0 %}\n {{-\ + \ '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in loop_messages\ + \ %}\n {%- if message.role == \"assistant\" and message.tool_calls is defined\ + \ and message.tool_calls is iterable and message.tool_calls | length > 0 %}\n\ + \ {{- '<|im_start|>' + message.role }}\n {%- if message.content\ + \ is defined and message.content is string and message.content | trim | length\ + \ > 0 %}\n {{- '\\n' + message.content | trim + '\\n' }}\n {%-\ + \ endif %}\n {%- for tool_call in message.tool_calls %}\n {%-\ + \ if tool_call.function is defined %}\n {%- set tool_call = tool_call.function\ + \ %}\n {%- endif %}\n {{- '\\n\\n\\n' }}\n {%- if tool_call.arguments is defined\ + \ %}\n {%- for args_name, args_value in tool_call.arguments|items\ + \ %}\n {{- '\\n' }}\n \ + \ {%- set args_value = args_value | tojson | safe if args_value is\ + \ mapping or (args_value is sequence and args_value is not string) else args_value\ + \ | string %}\n {{- args_value }}\n {{-\ + \ '\\n\\n' }}\n {%- endfor %}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {%- endfor %}\n\ + \ {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"user\" or message.role\ + \ == \"system\" or message.role == \"assistant\" %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role\ + \ != \"tool\" %}\n {{- '<|im_start|>user\\n' }}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {{- message.content }}\n \ + \ {{- '\\n\\n' }}\n {%- if not loop.last and loop.nextitem.role\ + \ != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last\ + \ %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n\ + \ {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>\\\ + n' }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{-\ + \ '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_hermes.jinja: "{%- macro json_to_python_type(json_spec) %}\n\ + \ {%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"\ + float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n {%-\ + \ if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type]\ + \ }}\n {%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items)\ + \ + \"]\" }}\n {%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties\ + \ is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties)\ + \ + ']' }}\n {%- else %}\n {{- \"dict\" }}\n {%- endif\ + \ %}\n {%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n\ + \ {%- for t in json_spec.type %}\n {{- json_to_python_type({\"\ + type\": t}) }}\n {%- if not loop.last %}\n {{- \",\"\ + \ }}\n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n\ + \ {%- else %}\n {{- \"Any\" }}\n {%- endif %}\n{%- endmacro %}\n\n\ + \n{{- bos_token }}\n{{- \"<|im_start|>system\\nYou are a function calling AI model.\ + \ You are provided with function signatures within XML tags. You\ + \ may call one or more functions to assist with the user query. Don't make assumptions\ + \ about what values to plug into functions. Here are the available tools: \ + \ \" }}\n{%- if tools is iterable and tools | length > 0 %}\n {%- for tool\ + \ in tools %}\n {%- if tool.function is defined %}\n {%- set\ + \ tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\"\ + , \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n \ + \ {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- param_name\ + \ + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last\ + \ %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor\ + \ %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n \ + \ {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n\ + \ {{- \" - \" + tool.description + \"\\n\\n\" }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {%- if loop.first\ + \ %}\n {{- \" Args:\\n\" }}\n {%- endif %}\n \ + \ {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields)\ + \ + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n \ + \ {%- if tool.return is defined and tool.return.description is defined %}\n \ + \ {{- \"\\n Returns:\\n \" + tool.return.description }}\n\ + \ {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n\ + \ {%- if tool.parameters.properties | length == 0 %}\n {{- \"\ + {}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n \ + \ {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n \ + \ {{- \"\\n\" }}\n {%- endif %}\n {%- endfor %}\n{%- endif %}\n\ + {{- \" \" }}\n{{- 'Use the following pydantic model json schema for each\ + \ tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"\ + type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"\ + }}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\"\ + : \"object\"}}\n' }}\n{{- \"For each function call return a json object with function\ + \ name and arguments within XML tags as follows:\n\" }}\n\ + {{- \"\n\" }}\n{{- '{\"name\": , \"arguments\": }\n\ + ' }}\n{{- '<|im_end|>' }}\n{%- for message in messages %}\n {%-\ + \ if message.role == \"user\" or message.role == \"system\" or (message.role ==\ + \ \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"assistant\" and message.tool_calls is defined %}\n \ + \ {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls\ + \ %}\n {{- '\\n\\n' }}\n {%- if tool_call.function\ + \ is defined %}\n {%- set tool_call = tool_call.function %}\n \ + \ {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"\ + ' }}\n {{- tool_call.name }}\n {{- '\"' }}\n \ + \ {%- if tool_call.arguments is defined %}\n {{- ', ' }}\n \ + \ {{- '\"arguments\": ' }}\n {{- tool_call.arguments|tojson\ + \ }}\n {%- endif %}\n {{- '}' }}\n {{- '\\n'\ + \ }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role\ + \ == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\"\ + \ %}\n {{- '<|im_start|>tool\\n' }}\n {%- endif %}\n \ + \ {{- '\\n' }}\n {{- message.content }}\n {%- if\ + \ not loop.last %}\n {{- '\\n\\n' }}\n {%- else\ + \ %}\n {{- '\\n' }}\n {%- endif %}\n \ + \ {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{-\ + \ '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>'\ + \ }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt\ + \ %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_gemma4.jinja: "{%- macro format_parameters(properties, required,\ + \ filter_keys=false) -%}\n {%- set standard_keys = ['description', 'type',\ + \ 'properties', 'required', 'nullable'] -%}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in properties | dictsort -%}\n {%- set add_comma\ + \ = false -%}\n {%- if not filter_keys or key not in standard_keys -%}\n\ + \ {%- if ns.found_first %},{% endif -%}\n {%- set ns.found_first\ + \ = true -%}\n {{ key }}:{\n {%- if value['description']\ + \ -%}\n description:<|\"|>{{ value['description'] }}<|\"|>\n \ + \ {%- set add_comma = true -%}\n {%- endif -%}\n \ + \ {%- if value['type'] | upper == 'STRING' -%}\n {%- if value['enum']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n enum:{{ format_argument(value['enum'])\ + \ }}\n {%- endif -%}\n {%- elif value['type'] | upper\ + \ == 'ARRAY' -%}\n {%- if value['items'] is mapping and value['items']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n items:{\n {%-\ + \ set ns_items = namespace(found_first=false) -%}\n {%- for\ + \ item_key, item_value in value['items'] | dictsort -%}\n \ + \ {%- if item_value is not none -%}\n {%- if ns_items.found_first\ + \ %},{% endif -%}\n {%- set ns_items.found_first =\ + \ true -%}\n {%- if item_key == 'properties' -%}\n\ + \ properties:{\n \ + \ {%- if item_value is mapping -%}\n {{- format_parameters(item_value,\ + \ value['items']['required'] | default([])) -}}\n \ + \ {%- endif -%}\n }\n \ + \ {%- elif item_key == 'required' -%}\n required:[\n\ + \ {%- for req_item in item_value -%}\n \ + \ <|\"|>{{- req_item -}}<|\"|>\n \ + \ {%- if not loop.last %},{% endif -%}\n \ + \ {%- endfor -%}\n ]\n \ + \ {%- elif item_key == 'type' -%}\n \ + \ {%- if item_value is string -%}\n type:{{\ + \ format_argument(item_value | upper) }}\n {%-\ + \ else -%}\n type:{{ format_argument(item_value\ + \ | map('upper') | list) }}\n {%- endif -%}\n \ + \ {%- else -%}\n {{ item_key\ + \ }}:{{ format_argument(item_value) }}\n {%- endif\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n\ + \ }\n {%- endif -%}\n {%- endif -%}\n\ + \ {%- if value['nullable'] %}\n {%- if add_comma %},{%-\ + \ else -%} {%- set add_comma = true -%} {% endif -%}\n nullable:true\n\ + \ {%- endif -%}\n {%- if value['type'] | upper == 'OBJECT'\ + \ -%}\n {%- if value['properties'] is defined and value['properties']\ + \ is mapping -%}\n {%- if add_comma %},{%- else -%} {%- set\ + \ add_comma = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value['properties'], value['required'] |\ + \ default([])) -}}\n }\n {%- elif value is mapping\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value, value['required'] | default([]), filter_keys=true)\ + \ -}}\n }\n {%- endif -%}\n {%-\ + \ if value['required'] -%}\n {%- if add_comma %},{%- else -%}\ + \ {%- set add_comma = true -%} {% endif -%}\n required:[\n\ + \ {%- for item in value['required'] | default([]) -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {%- if\ + \ not loop.last %},{% endif -%}\n {%- endfor -%}\n \ + \ ]\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif\ + \ -%}\n type:<|\"|>{{ value['type'] | upper }}<|\"|>}\n {%-\ + \ endif -%}\n {%- endfor -%}\n{%- endmacro -%}\n{%- macro format_function_declaration(tool_data)\ + \ -%}\n declaration:{{- tool_data['function']['name'] -}}{description:<|\"\ + |>{{- tool_data['function']['description'] -}}<|\"|>\n {%- set params = tool_data['function']['parameters']\ + \ -%}\n {%- if params -%}\n ,parameters:{\n {%- if params['properties']\ + \ -%}\n properties:{ {{- format_parameters(params['properties'], params['required'])\ + \ -}} },\n {%- endif -%}\n {%- if params['required'] -%}\n \ + \ required:[\n {%- for item in params['required'] -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {{- ',' if not loop.last\ + \ -}}\n {%- endfor -%}\n ],\n {%- endif -%}\n \ + \ {%- if params['type'] -%}\n type:<|\"|>{{- params['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n {%- if 'response'\ + \ in tool_data['function'] -%}\n {%- set response_declaration = tool_data['function']['response']\ + \ -%}\n ,response:{\n {%- if response_declaration['description']\ + \ -%}\n description:<|\"|>{{- response_declaration['description'] -}}<|\"\ + |>,\n {%- endif -%}\n {%- if response_declaration['type'] | upper\ + \ == 'OBJECT' -%}\n type:<|\"|>{{- response_declaration['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n }\n{%- endmacro -%}\n\ + {%- macro format_argument(argument, escape_keys=True) -%}\n {%- if argument\ + \ is none -%}\n {{- 'null' -}}\n {%- elif argument is string -%}\n \ + \ {{- '<|\"|>' + argument + '<|\"|>' -}}\n {%- elif argument is boolean\ + \ -%}\n {{- 'true' if argument else 'false' -}}\n {%- elif argument\ + \ is mapping -%}\n {{- '{' -}}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in argument | dictsort -%}\n {%-\ + \ if ns.found_first %},{% endif -%}\n {%- set ns.found_first = true\ + \ -%}\n {%- if escape_keys -%}\n {{- '<|\"|>' + key\ + \ + '<|\"|>' -}}\n {%- else -%}\n {{- key -}}\n \ + \ {%- endif -%}\n :{{- format_argument(value, escape_keys=escape_keys)\ + \ -}}\n {%- endfor -%}\n {{- '}' -}}\n {%- elif argument is sequence\ + \ -%}\n {{- '[' -}}\n {%- for item in argument -%}\n \ + \ {{- format_argument(item, escape_keys=escape_keys) -}}\n {%- if not\ + \ loop.last %},{% endif -%}\n {%- endfor -%}\n {{- ']' -}}\n \ + \ {%- else -%}\n {{- argument -}}\n {%- endif -%}\n{%- endmacro -%}\n\ + {%- macro strip_thinking(text) -%}\n {%- set ns = namespace(result='') -%}\n\ + \ {%- for part in text.split('') -%}\n {%- if '<|channel>'\ + \ in part -%}\n {%- set ns.result = ns.result + part.split('<|channel>')[0]\ + \ -%}\n {%- else -%}\n {%- set ns.result = ns.result + part\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n {{- ns.result | trim -}}\n\ + {%- endmacro -%}\n\n{%- macro format_tool_response_block(tool_name, response)\ + \ -%}\n {{- '<|tool_response>' -}}\n {%- if response is mapping -%}\n \ + \ {{- 'response:' + tool_name + '{' -}}\n {%- for key, value in response\ + \ | dictsort -%}\n {{- key -}}:{{- format_argument(value, escape_keys=False)\ + \ -}}\n {%- if not loop.last %},{% endif -%}\n {%- endfor -%}\n\ + \ {{- '}' -}}\n {%- else -%}\n {{- 'response:' + tool_name +\ + \ '{value:' + format_argument(response, escape_keys=False) + '}' -}}\n {%-\ + \ endif -%}\n {{- '' -}}\n{%- endmacro -%}\n\n{#- ===== SETUP\ + \ ===== -#}\n{%- set ns = namespace(prev_message_type=None, prev_non_tool_role=None)\ + \ -%}\n{%- set loop_messages = messages -%}\n{%- set enable_thinking = enable_thinking\ + \ | default(false) -%}\n{%- set preserve_thinking = preserve_thinking | default(false)\ + \ -%}\n{{- bos_token -}}\n{#- Handle System/Tool Definitions Block -#}\n{%- if\ + \ enable_thinking or tools or (messages and messages[0]['role'] in ['system',\ + \ 'developer']) -%}\n {{- '<|turn>system\\n' -}}\n {#- Inject Thinking token\ + \ at the very top of the FIRST system turn -#}\n {%- if enable_thinking -%}\n\ + \ {{- '<|think|>\\n' -}}\n {%- set ns.prev_message_type = 'think'\ + \ -%}\n {%- endif -%}\n {%- if messages and messages[0]['role'] in ['system',\ + \ 'developer'] -%}\n {%- if messages[0]['content'] is string -%}\n \ + \ {{- messages[0]['content'] | trim -}}\n {%- elif messages[0]['content']\ + \ is sequence -%}\n {%- for item in messages[0]['content'] -%}\n \ + \ {{- item['text'] | trim + ' '-}}\n {%- endfor -%}\n\ + \ {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n \ + \ {%- endif -%}\n {%- if tools -%}\n {%- for tool in tools %}\n \ + \ {{- '<|tool>' -}}\n {{- format_function_declaration(tool)\ + \ | trim -}}\n {{- '' -}}\n {%- endfor %}\n {%-\ + \ set ns.prev_message_type = 'tool' -%}\n {%- endif -%}\n {{- '\\\ + n' -}}\n{%- endif %}\n\n{#- Pre-scan: find last user message index for reasoning\ + \ guard -#}\n{%- set ns_turn = namespace(last_user_idx=-1) -%}\n{%- for i in range(loop_messages\ + \ | length) -%}\n {%- if loop_messages[i]['role'] == 'user' -%}\n {%-\ + \ set ns_turn.last_user_idx = i -%}\n {%- endif -%}\n{%- endfor -%}\n\n{#-\ + \ Loop through messages -#}\n{%- for message in loop_messages -%}\n {%- if\ + \ message['role'] != 'tool' -%}\n {%- set ns.prev_message_type = None -%}\n\ + \ {%- set role = 'model' if message['role'] == 'assistant' else message['role']\ + \ -%}\n {#- Detect continuation using tracked state \u2014 O(1) instead of\ + \ O(n) backward scan -#}\n {%- set continue_same_model_turn = (role == 'model'\ + \ and ns.prev_non_tool_role == 'assistant') -%}\n {%- if not continue_same_model_turn\ + \ -%}\n {{- '<|turn>' + role + '\\n' }}\n {%- if role == 'model'\ + \ and not enable_thinking and not (message.get('reasoning') or message.get('reasoning_content'))\ + \ -%}\n {{- '<|channel>thought\\n' -}}\n {%- endif\ + \ -%}\n {%- endif -%}\n\n {#- Render reasoning/reasoning_content as thinking\ + \ channel -#}\n {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content')\ + \ -%}\n {%- set thinking_gate = (loop.index0 > ns_turn.last_user_idx) or preserve_thinking\ + \ -%}\n {%- if thinking_text and thinking_gate -%}\n {{- '<|channel>thought\\\ + n' + thinking_text + '\\n' -}}\n {%- endif -%}\n\n {%-\ + \ if message.get('tool_calls') -%}\n {%- for tool_call in message.get('tool_calls')\ + \ -%}\n {%- set function = tool_call['function'] -%}\n \ + \ {{- '<|tool_call>call:' + function['name'] + '{' -}}\n \ + \ {%- if function['arguments'] is mapping -%}\n \ + \ {%- set ns_args = namespace(found_first=false) -%}\n \ + \ {%- for key, value in function['arguments'] | dictsort -%}\n \ + \ {%- if ns_args.found_first %},{% endif -%}\n \ + \ {%- set ns_args.found_first = true -%}\n \ + \ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}\n \ + \ {%- endfor -%}\n {%- elif function['arguments']\ + \ is none -%}\n {%- else -%}\n {{- raise_exception(\n\ + \ \"chat_template: tool_calls[].function.arguments\ + \ must be a \"\n \"JSON object (mapping), not a string.\ + \ Deserialize arguments \"\n \"before passing to the\ + \ template.\"\n ) -}}\n {%- endif -%}\n\ + \ {{- '}' -}}\n {%- endfor -%}\n\ + \ {%- set ns.prev_message_type = 'tool_call' -%}\n {%-\ + \ endif -%}\n\n {%- set ns_tr_out = namespace(flag=false) -%}\n \ + \ {%- if message.get('tool_responses') -%}\n {#- Legacy:\ + \ tool_responses embedded on the assistant message (Google/Gemma native) -#}\n\ + \ {%- for tool_response in message.get('tool_responses') -%}\n\ + \ {{- format_tool_response_block(tool_response['name'] | default('unknown',\ + \ true), tool_response['response']) -}}\n {%- set ns_tr_out.flag\ + \ = true -%}\n {%- set ns.prev_message_type = 'tool_response'\ + \ -%}\n {%- endfor -%}\n {%- elif message.get('tool_calls')\ + \ -%}\n {#- OpenAI Chat Completions: forward-scan consecutive role:tool\ + \ messages -#}\n {%- set ns_tool_scan = namespace(stopped=false)\ + \ -%}\n {%- for k in range(loop.index0 + 1, loop_messages | length)\ + \ -%}\n {%- if ns_tool_scan.stopped -%}\n \ + \ {%- elif loop_messages[k]['role'] != 'tool' -%}\n {%-\ + \ set ns_tool_scan.stopped = true -%}\n {%- else -%}\n \ + \ {%- set follow = loop_messages[k] -%}\n \ + \ {#- Resolve tool_call_id to function name -#}\n \ + \ {%- set ns_tname = namespace(name=follow.get('name') or 'unknown') -%}\n \ + \ {%- for tc in message.get('tool_calls') -%}\n \ + \ {%- if tc.get('id') == follow.get('tool_call_id') -%}\n \ + \ {%- set ns_tname.name = tc['function']['name']\ + \ -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {#- Handle content as string or content-parts\ + \ array -#}\n {%- set tool_body = follow.get('content')\ + \ -%}\n {%- if tool_body is string -%}\n \ + \ {{- format_tool_response_block(ns_tname.name, tool_body) -}}\n\ + \ {%- elif tool_body is sequence and tool_body is not string\ + \ -%}\n {%- set ns_txt = namespace(s='') -%}\n \ + \ {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') == 'text' -%}\n \ + \ {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}\n\ + \ {%- endif -%}\n {%-\ + \ endfor -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ ns_txt.s) -}}\n {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') in ['image', 'image_url']\ + \ -%}\n {{- '<|image|>' -}}\n \ + \ {%- elif part.get('type') in ['audio', 'input_audio'] -%}\n\ + \ {{- '<|audio|>' -}}\n \ + \ {%- elif part.get('type') == 'video' -%}\n \ + \ {{- '<|video|>' -}}\n {%- endif\ + \ -%}\n {%- endfor -%}\n {%-\ + \ else -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ tool_body) -}}\n {%- endif -%}\n \ + \ {%- set ns_tr_out.flag = true -%}\n {%- set ns.prev_message_type\ + \ = 'tool_response' -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {%- endif -%}\n\n {%- set captured_content\ + \ -%}\n {%- if message.get('content') is string -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(message['content'])\ + \ -}}\n {%- else -%}\n {{- message['content']\ + \ | trim -}}\n {%- endif -%}\n {%- elif message.get('content')\ + \ is sequence -%}\n {%- for item in message['content'] -%}\n \ + \ {%- if item.get('type') == 'text' -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(item['text'])\ + \ -}}\n {%- else -%}\n {{- item['text']\ + \ | trim -}}\n {%- endif -%}\n {%- elif\ + \ item.get('type') in ['image', 'image_url'] -%}\n {{-\ + \ '<|image|>' -}}\n {%- elif item.get('type') in ['audio',\ + \ 'input_audio'] -%}\n {{- '<|audio|>' -}}\n \ + \ {%- elif item.get('type') == 'video' -%}\n {{-\ + \ '<|video|>' -}}\n {%- endif -%}\n {%- endfor\ + \ -%}\n {%- endif -%}\n {%- endset -%}\n\n {{-\ + \ captured_content -}}\n {%- set has_content = captured_content | trim\ + \ | length > 0 -%}\n\n {#- Forward-scan: find next non-tool message role\ + \ for continuation detection -#}\n {%- set next_nt = namespace(role=None,\ + \ found=false) -%}\n {%- for j in range(loop.index0 + 1, loop_messages\ + \ | length) -%}\n {%- if not next_nt.found -%}\n {%-\ + \ if loop_messages[j]['role'] != 'tool' -%}\n {%- set next_nt.role\ + \ = loop_messages[j]['role'] -%}\n {%- set next_nt.found =\ + \ true -%}\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- endfor -%}\n\n {%- set continues_into_next = (\n role\ + \ == 'model'\n and next_nt.role == 'assistant'\n and (not\ + \ message.get('tool_calls') or ns_tr_out.flag)\n ) -%}\n\n {%- if\ + \ ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}\n \ + \ {{- '<|tool_response>' -}}\n {%- elif continues_into_next -%}\n \ + \ {{- '\\n' -}}\n {%- elif not (ns_tr_out.flag and not has_content)\ + \ -%}\n {{- '\\n' -}}\n {%- endif -%}\n\n {#- Track\ + \ previous non-tool role for next iteration (avoids O(n) backward scan) -#}\n\ + \ {%- set ns.prev_non_tool_role = message['role'] -%}\n {%- endif -%}\n\ + {%- endfor -%}\n\n{%- if add_generation_prompt -%}\n {%- if ns.prev_message_type\ + \ != 'tool_response' and ns.prev_message_type != 'tool_call' -%}\n {{-\ + \ '<|turn>model\\n' -}}\n {%- if not enable_thinking -%}\n {{-\ + \ '<|channel>thought\\n' -}}\n {%- endif -%}\n {%- elif ns.prev_message_type\ + \ == 'tool_response' and enable_thinking -%}\n {{- '<|channel>thought\\\ + n' -}}\n {%- endif -%}\n{%- endif -%}" +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vi-config + namespace: h54 + labels: + app: vi +data: + http_proxy: '' + https_proxy: '' + no_proxy: '' + TORCHINDUCTOR_CACHE_DIR: /tmp + NUMBA_CACHE_DIR: /tmp + HF_HOME: /data + OUTLINES_CACHE_DIR: /tmp/.cache/outlines + VLLM_NO_USAGE_STATS: '1' + DO_NOT_TRACK: '1' + TRITON_CACHE_DIR: /tmp/.triton + USER: vllm + VLLM_ALLOW_LONG_MAX_MODEL_LEN: '1' + VLLM_CPU_KVCACHE_SPACE: '40' + VLLM_ENGINE_ITERATION_TIMEOUT_S: '120' + VLLM_RPC_TIMEOUT: '100000' + HF_HUB_OFFLINE: '1' + VLLM_CPU_OMP_THREADS_BIND: 0-47 +--- +apiVersion: v1 +kind: Service +metadata: + name: vi + namespace: h54 + labels: + app: vi +spec: + type: ClusterIP + ports: + - name: http + port: 2080 + targetPort: 2080 + protocol: TCP + selector: + app: vi +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: vi + namespace: h54 + labels: + app: vi +spec: + selector: + matchLabels: + app: vi + template: + metadata: + labels: + app: vi + spec: + hostIPC: true + securityContext: null + containers: + - name: vllm + envFrom: + - configMapRef: + name: vi-config + securityContext: + allowPrivilegeEscalation: false + capabilities: + add: + - SYS_NICE + drop: + - ALL + readOnlyRootFilesystem: true + runAsNonRoot: true + runAsUser: 1001 + seccompProfile: + type: RuntimeDefault + image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + imagePullPolicy: IfNotPresent + args: + - --block-size + - '128' + - --dtype + - bfloat16 + - --distributed_executor_backend + - mp + - --enable_chunked_prefill + - --enforce-eager + - --enable-prefix-caching + - --enable-auto-tool-choice + - --tool-call-parser + - gemma4 + - --chat-template + - /workspace/vllm/examples/tool_chat_template_gemma4.jinja + - --tensor-parallel-size + - '1' + - --pipeline-parallel-size + - '1' + - --model + - /data/Intel_gemma-4-26B-A4B-it-int4-AutoRound + - --served-model-name + - google/gemma-4-26B-A4B-it + - --port + - '2080' + - --max-model-len + - '8192' + - --attention-backend + - CPU_ATTN + volumeMounts: + - mountPath: /data + name: model-volume + - mountPath: /dev/shm + name: shm + - mountPath: /tmp + name: tmp + - mountPath: /root/.cache/vllm + name: vllm-cache + - mountPath: /workspace/vllm/examples + name: chat-templates + ports: + - name: http + containerPort: 2080 + protocol: TCP + readinessProbe: + failureThreshold: 200 + httpGet: + path: /health + port: http + initialDelaySeconds: 10 + periodSeconds: 5 + volumes: + - name: model-volume + hostPath: + path: /var/apb-models + type: Directory + - name: shm + emptyDir: + medium: Memory + sizeLimit: 1Gi + - name: tmp + emptyDir: {} + - name: vllm-cache + emptyDir: {} + - name: chat-templates + configMap: + name: vi-chat-templates + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: ei-inference-eligible + operator: In + values: + - 'true' + terminationGracePeriodSeconds: 120 diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/describe.txt b/bench/h54/results/2026-10-29/H54q/hold3/Vi/describe.txt new file mode 100644 index 00000000..163022f5 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/describe.txt @@ -0,0 +1,120 @@ +Name: vi-647f5f8cf5-cl74j +Namespace: h54 +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54q-3-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 21:00:14 +0000 +Labels: app=vi + pod-template-hash=647f5f8cf5 +Annotations: +Status: Running +IP: 10.42.0.9 +IPs: + IP: 10.42.0.9 +Controlled By: ReplicaSet/vi-647f5f8cf5 +Containers: + vllm: + Container ID: containerd://7cb79036eae6e0626d36a7ad94aade8f10486659cf67f973ff6ea3bbe789410a + Image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Image ID: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Port: 2080/TCP (http) + Host Port: 0/TCP (http) + SeccompProfile: RuntimeDefault + Args: + --block-size + 128 + --dtype + bfloat16 + --distributed_executor_backend + mp + --enable_chunked_prefill + --enforce-eager + --enable-prefix-caching + --enable-auto-tool-choice + --tool-call-parser + gemma4 + --chat-template + /workspace/vllm/examples/tool_chat_template_gemma4.jinja + --tensor-parallel-size + 1 + --pipeline-parallel-size + 1 + --model + /data/Intel_gemma-4-26B-A4B-it-int4-AutoRound + --served-model-name + google/gemma-4-26B-A4B-it + --port + 2080 + --max-model-len + 8192 + --attention-backend + CPU_ATTN + State: Waiting + Reason: CrashLoopBackOff + Last State: Terminated + Reason: Error + Exit Code: 1 + Started: Thu, 29 Oct 2026 21:12:00 +0000 + Finished: Thu, 29 Oct 2026 21:12:52 +0000 + Ready: False + Restart Count: 6 + Readiness: http-get http://:http/health delay=10s timeout=1s period=5s #success=1 #failure=200 + Environment Variables from: + vi-config ConfigMap Optional: false + Environment: + Mounts: + /data from model-volume (rw) + /dev/shm from shm (rw) + /root/.cache/vllm from vllm-cache (rw) + /tmp from tmp (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-45llj (ro) + /workspace/vllm/examples from chat-templates (rw) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready False + ContainersReady False + PodScheduled True +Volumes: + model-volume: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + shm: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: Memory + SizeLimit: 1Gi + tmp: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + vllm-cache: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + chat-templates: + Type: ConfigMap (a volume populated by a ConfigMap) + Name: vi-chat-templates + Optional: false + kube-api-access-45llj: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: BestEffort +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 15m default-scheduler Successfully assigned h54/vi-647f5f8cf5-cl74j to k3d-k3dgpu-g-h54q-3-server-0 + Normal Pulling 15m kubelet spec.containers{vllm}: Pulling image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" + Normal Pulled 14m kubelet spec.containers{vllm}: Successfully pulled image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" in 54.378s (54.378s including waiting). Image size: 1719072416 bytes. + Warning Unhealthy 8m55s (x37 over 13m) kubelet spec.containers{vllm}: Readiness probe failed: Get "http://10.42.0.9:2080/health": dial tcp 10.42.0.9:2080: connect: connection refused + Warning BackOff 3m22s (x8 over 12m) kubelet spec.containers{vllm}: Back-off restarting failed container vllm in pod vi-647f5f8cf5-cl74j_h54(f4df96df-bf5d-4076-a362-00c4890c67c1) + Normal Created 3m19s (x7 over 14m) kubelet spec.containers{vllm}: Container created + Normal Started 3m19s (x7 over 14m) kubelet spec.containers{vllm}: Container started + Normal Pulled 3m19s (x6 over 13m) kubelet spec.containers{vllm}: Container image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" already present on machine and can be accessed by the pod diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/models.json b/bench/h54/results/2026-10-29/H54q/hold3/Vi/models.json new file mode 100644 index 00000000..e69de29b diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/pf.log.gz b/bench/h54/results/2026-10-29/H54q/hold3/Vi/pf.log.gz new file mode 100644 index 00000000..50a46726 Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold3/Vi/pf.log.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/pods.txt b/bench/h54/results/2026-10-29/H54q/hold3/Vi/pods.txt new file mode 100644 index 00000000..9c944399 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h54 vi-647f5f8cf5-cl74j 0/1 CrashLoopBackOff 6 (2m27s ago) 15m 10.42.0.9 k3d-k3dgpu-g-h54q-3-server-0 +kube-system coredns-577d995dff-6j8hr 1/1 Running 0 15m 10.42.0.4 k3d-k3dgpu-g-h54q-3-server-0 +kube-system helm-install-gateway-api-crd-k5qms 0/1 Completed 0 15m 10.42.0.2 k3d-k3dgpu-g-h54q-3-server-0 +kube-system local-path-provisioner-6858d854cf-rq2f9 1/1 Running 0 15m 10.42.0.7 k3d-k3dgpu-g-h54q-3-server-0 +kube-system metrics-server-778c4649b4-x8lpw 1/1 Running 0 15m 10.42.0.6 k3d-k3dgpu-g-h54q-3-server-0 +node-feature-discovery nfd-gc-7d6955597d-4c9g6 1/1 Running 0 15m 10.42.0.8 k3d-k3dgpu-g-h54q-3-server-0 +node-feature-discovery nfd-master-74b6cfb7df-l4glp 1/1 Running 0 15m 10.42.0.5 k3d-k3dgpu-g-h54q-3-server-0 +node-feature-discovery nfd-worker-f7kr6 1/1 Running 0 15m 10.42.0.3 k3d-k3dgpu-g-h54q-3-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/server.log.gz b/bench/h54/results/2026-10-29/H54q/hold3/Vi/server.log.gz new file mode 100644 index 00000000..f3cc27c9 Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold3/Vi/server.log.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold3/Vi/status.json b/bench/h54/results/2026-10-29/H54q/hold3/Vi/status.json new file mode 100644 index 00000000..c0f86740 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/Vi/status.json @@ -0,0 +1 @@ +{"status": "not_deliverable", "reason": "no model list and 16-token chat within 900 s", "at": "2026-10-29T21:15:19Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/hold3/hold.log b/bench/h54/results/2026-10-29/H54q/hold3/hold.log new file mode 100644 index 00000000..f127ee7e --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/hold.log @@ -0,0 +1,2 @@ +2026-10-29T21:00:14Z Vi start (2250 s before the item stop) +2026-10-29T21:15:19Z Vi status not_deliverable: no model list and 16-token chat within 900 s diff --git a/bench/h54/results/2026-10-29/H54q/hold3/node.json b/bench/h54/results/2026-10-29/H54q/hold3/node.json new file mode 100644 index 00000000..619824cd --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/node.json @@ -0,0 +1,190 @@ +{ + "apiVersion": "v1", + "items": [ + { + "apiVersion": "v1", + "kind": "Node", + "metadata": { + "annotations": { + "alpha.kubernetes.io/provided-node-ip": "172.19.0.2", + "flannel.alpha.coreos.com/backend-data": "{\"VNI\":1,\"VtepMAC\":\"02:e2:25:47:3c:ee\"}", + "flannel.alpha.coreos.com/backend-type": "vxlan", + "flannel.alpha.coreos.com/kube-subnet-manager": "true", + "flannel.alpha.coreos.com/public-ip": "172.19.0.2", + "k3s.io/hostname": "k3d-k3dgpu-g-h54q-3-server-0", + "k3s.io/internal-ip": "172.19.0.2", + "k3s.io/node-args": "[\"server\",\"--disable\",\"traefik\",\"--disable\",\"intel-gpu-plugin\",\"--disable\",\"intel-gpu-dra\",\"--disable\",\"nri-balloons\",\"--kubelet-arg\",\"eviction-hard=memory.available\\u003c100Mi,nodefs.available\\u003c1%,imagefs.available\\u003c1%,nodefs.inodesFree\\u003c1%\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVX512BF16=true\",\"--node-label\",\"experimental.k3d-gpu.io/dra=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXFP16=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXTILE=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVXVNNI=true\",\"--node-label\",\"ei-infra-eligible=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.CETIBT=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.GFNI=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXINT8=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.SHA=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVX512F=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.CETSS=true\",\"--node-label\",\"ei-inference-eligible=true\",\"--node-label\",\"experimental.k3d-gpu.io/image-volume=true\",\"--node-label\",\"nvidia.com/gpu.present=false\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.VAES=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AMXBF16=true\",\"--node-label\",\"feature.node.kubernetes.io/cpu-cpuid.AVX512VNNI=true\",\"--tls-san\",\"0.0.0.0\"]", + "k3s.io/node-config-hash": "5HHXIDUX4YJZJWS77NE4PG2NTXLIFL2XH2YNBDSARCMJT3HU7YGA====", + "k3s.io/node-env": "{\"K3S_KUBECONFIG_OUTPUT\":\"/output/kubeconfig.yaml\",\"K3S_TOKEN\":\"********\"}", + "node.alpha.kubernetes.io/ttl": "0", + "volumes.kubernetes.io/controller-managed-attach-detach": "true" + }, + "creationTimestamp": "2026-10-29T20:59:49Z", + "finalizers": [ + "wrangler.cattle.io/node" + ], + "labels": { + "beta.kubernetes.io/arch": "amd64", + "beta.kubernetes.io/instance-type": "k3s", + "beta.kubernetes.io/os": "linux", + "ei-inference-eligible": "true", + "ei-infra-eligible": "true", + "experimental.k3d-gpu.io/dra": "true", + "experimental.k3d-gpu.io/image-volume": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXBF16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXFP16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXINT8": "true", + "feature.node.kubernetes.io/cpu-cpuid.AMXTILE": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512BF16": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512F": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVX512VNNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.AVXVNNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.CETIBT": "true", + "feature.node.kubernetes.io/cpu-cpuid.CETSS": "true", + "feature.node.kubernetes.io/cpu-cpuid.GFNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.SHA": "true", + "feature.node.kubernetes.io/cpu-cpuid.VAES": "true", + "kubernetes.io/arch": "amd64", + "kubernetes.io/hostname": "k3d-k3dgpu-g-h54q-3-server-0", + "kubernetes.io/os": "linux", + "node-role.kubernetes.io/control-plane": "true", + "node.kubernetes.io/instance-type": "k3s", + "nvidia.com/gpu.present": "false" + }, + "name": "k3d-k3dgpu-g-h54q-3-server-0", + "resourceVersion": "613", + "uid": "ffc020ff-6ed1-478b-9315-a37721c81565" + }, + "spec": { + "podCIDR": "10.42.0.0/24", + "podCIDRs": [ + "10.42.0.0/24" + ], + "providerID": "k3s://k3d-k3dgpu-g-h54q-3-server-0" + }, + "status": { + "addresses": [ + { + "address": "172.19.0.2", + "type": "InternalIP" + }, + { + "address": "k3d-k3dgpu-g-h54q-3-server-0", + "type": "Hostname" + } + ], + "allocatable": { + "cpu": "96", + "ephemeral-storage": "3687149282645", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "527664744Ki", + "pods": "110" + }, + "capacity": { + "cpu": "96", + "ephemeral-storage": "3724393213952", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "527767144Ki", + "pods": "110" + }, + "conditions": [ + { + "lastHeartbeatTime": "2026-10-29T20:59:59Z", + "lastTransitionTime": "2026-10-29T20:59:49Z", + "message": "kubelet has sufficient memory available", + "reason": "KubeletHasSufficientMemory", + "status": "False", + "type": "MemoryPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:59:59Z", + "lastTransitionTime": "2026-10-29T20:59:49Z", + "message": "kubelet has no disk pressure", + "reason": "KubeletHasNoDiskPressure", + "status": "False", + "type": "DiskPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:59:59Z", + "lastTransitionTime": "2026-10-29T20:59:49Z", + "message": "kubelet has sufficient PID available", + "reason": "KubeletHasSufficientPID", + "status": "False", + "type": "PIDPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:59:59Z", + "lastTransitionTime": "2026-10-29T20:59:49Z", + "message": "kubelet is posting ready status", + "reason": "KubeletReady", + "status": "True", + "type": "Ready" + } + ], + "daemonEndpoints": { + "kubeletEndpoint": { + "Port": 10250 + } + }, + "declaredFeatures": [ + "ExtendWebSocketsToKubelet", + "InPlacePodLevelResourcesVerticalScaling", + "InPlacePodVerticalScalingInitContainers", + "RestartAllContainersOnContainerExits" + ], + "features": { + "supplementalGroupsPolicy": true + }, + "nodeInfo": { + "architecture": "amd64", + "bootID": "d40bd344-edb4-4aee-85a8-20b25e4305e8", + "containerRuntimeVersion": "containerd://2.3.4-k3s1", + "kernelVersion": "7.0.0-31-generic", + "kubeProxyVersion": "", + "kubeletVersion": "v1.37.1+k3s1", + "machineID": "", + "operatingSystem": "linux", + "osImage": "Ubuntu 26.04.1 LTS", + "runningInUserNamespace": false, + "systemUUID": "00000000-0000-0000-0000-7cc255947e5f" + }, + "runtimeHandlers": [ + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "nvidia" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "runc" + }, + { + "features": { + "recursiveReadOnlyMounts": false, + "userNamespaces": false + }, + "name": "runhcs-wcow-process" + } + ] + } + } + ], + "kind": "List", + "metadata": { + "resourceVersion": "" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/hold3/post.txt b/bench/h54/results/2026-10-29/H54q/hold3/post.txt new file mode 100644 index 00000000..9ecfb6ef --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/post.txt @@ -0,0 +1,15 @@ +2026-10-29T21:15:39Z + 21:15:39 up 43 days, 22:30, 11 users, load average: 2.94, 4.15, 15.10 +%CPU PID USER COMMAND +46.3 3900003 root sglang::schedul +44.1 3900352 root sglang::schedul +42.3 529626 root sglang::schedul +40.0 529961 root sglang::schedul +24.7 3898329 root python +17.9 528967 root python +15.7 872705 65532 epp + 2.6 3911 nobody node_exporter + 1.2 3934 root python3 + 1.0 2651 root dockerd +aiperf_procs: 0 +/dev/nvme0n1p1 3637102748 1028203676 2608882688 29% / diff --git a/bench/h54/results/2026-10-29/H54q/hold3/pre.txt b/bench/h54/results/2026-10-29/H54q/hold3/pre.txt new file mode 100644 index 00000000..a1f2666a --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/pre.txt @@ -0,0 +1,15 @@ +2026-10-29T20:59:42Z + 20:59:42 up 43 days, 22:14, 10 users, load average: 5.66, 19.24, 35.07 +%CPU PID USER COMMAND +46.3 3900003 root sglang::schedul +44.1 3900352 root sglang::schedul +42.3 529626 root sglang::schedul +40.0 529961 root sglang::schedul +24.7 3898329 root python +17.9 528967 root python +15.7 872705 65532 epp + 2.6 3911 nobody node_exporter + 1.2 3934 root python3 + 1.0 2651 root dockerd +aiperf_procs: 0 +/dev/nvme0n1p1 3637102748 1028388100 2608698264 29% / diff --git a/bench/h54/results/2026-10-29/H54q/hold3/rc b/bench/h54/results/2026-10-29/H54q/hold3/rc new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/rc @@ -0,0 +1 @@ +0 diff --git a/bench/h54/results/2026-10-29/H54q/hold3/reproduce.txt b/bench/h54/results/2026-10-29/H54q/hold3/reproduce.txt new file mode 100644 index 00000000..167195cc --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/reproduce.txt @@ -0,0 +1,63 @@ +# H54 Reproduce header, 2026-10-29T20:59:42Z +host: 905a08313800 +cpu: Intel(R) Xeon(R) 6741P; 96 CPUs; sockets 1; NUMA nodes 1 +microcode: 0xa000133 +kernel: 7.0.0-31-generic; cmdline: BOOT_IMAGE=/vmlinuz-7.0.0-31-generic root=UUID=abbc5069-acd3-4ada-977a-807bb52ff382 ro console=tty1 console=ttyS0 +memory: 527767144 kB; swap: 0 kB +governor: performance; smt: 1 +amx: amx_bf16 amx_int8 amx_tile +cpuset: none (no node cpuset; the k3d node container sees every CPU; optimized arms bind threads to 0-47 with the engine's own knob) +docker: 29.8.0 +k3d.real: k3d version v5.9.0 sha256 06d8f25bc3a971c4 +kubectl: Client Version: v1.35.2 sha256 924eb50779153f20 +helm: version.BuildInfo{Version:"v4.1.1", GitCommit:"5caf0044d4ef3d62a955440272999e139aafbbed", GitTreeState:"clean", GoVersion:"go1.25.7", KubeClientVersion:"v1.35"} sha256 c72e64e5fff65d48 +uv: uv 0.8.0 sha256 19af10f031be0587 +repo: 85e77267a059578d412461cf69ebf5680170802b 0 uncommitted +eat: 0d3438d7119de44cafc5903f66665c0b623e3333 +images: + vllm024: vllm/vllm-openai-cpu:v0.24.0@sha256:b0e6f8604413a8bfcca8836bb4b57b47f1aa653957e07f8903ece531309981a1 + vllm032: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + llamacpp: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + sglang: lmsysorg/sglang:v0.5.22-xeon@sha256:4e5c413ed9a31f38f74e18aa9b645d65a0b0a023d42f63edb4e2b412ea1a230f + ovms: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + ovms_eat: 2025.4@sha256:c370720007564bbdcbca13b9b714e4537068542cda512e8095259e66b617962a + node: cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76 +models (revision, from .pinned-revision): + Intel_Qwen3.8-27B-q4km-AutoRound/ Intel/Qwen3.8-27B-q4km-AutoRound 4b30b30e0ac2cc54a2f50738cfccd6c608f94ad4 + Intel_gemma-4-26B-A4B-it-int4-AutoRound/ edff62728a3c79ec541983b86a21674500e0f05b + google_gemma-4-26B-A4B-it-qat-q4_0-gguf/ google/gemma-4-26B-A4B-it-qat-q4_0-gguf d1c082be9cf3c8a514acf63b8761f4b41935842e + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant 9537141506fe8875b3ed45b264af13580cb29166 + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized f1e06dc520982d9b9edd76859fdb7ab209449949 + k3dgpu_gemma-4-26B-A4B-it-qat-int4-sym-g32-ov/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'revision': 'f1e06dc520982d9b9edd76859fdb7ab209449949'} int4 sym, group 32, ratio 1.0 + OpenVINO/gemma-4-26b-a4b-it-int4-ov/ OpenVINO/gemma-4-26b-a4b-it-int4-ov 4e5885c3f03844f5887982def09708bdc9f53f7a + k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant', 'revision': '9537141506fe8875b3ed45b264af13580cb29166'} None + k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'revision': 'f1e06dc520982d9b9edd76859fdb7ab209449949'} int4 sym, group 32, ratio 1.0 +weights sha256: + 3e737281ffb4ba3feae0a7c818a8d56070e97877b4f1a87a4fe89c005b5372ee model-00001-of-00008.safetensors + 5690ee1b23fa4715f90a4f7449176b21539e6f8389d10681931eb12c62633404 model-00002-of-00008.safetensors + 19dc834bdecd207848674ef11b8f149732c9e8d851a8bfa01488dfaf5e11ca20 model-00003-of-00008.safetensors + ed49f933fbfc917ef003a1767bd0fef151255835743a495c67853f38d74eaec1 model-00004-of-00008.safetensors + 6a7e8bd71dc0456368b4b473b283d8e5fcfc563b9386fca4813a216168ada212 model-00005-of-00008.safetensors + 7a9c2d79cd2a2466e34fdf36a51746c6a67547ed27ca70203200e3c4bd1956a9 model-00006-of-00008.safetensors + f25ffc75beeb6f0db75d6d671030598f318a03a87794119d81dfd28382d5e9ce model-00007-of-00008.safetensors + f2333fbf6106311ab5e6e3b7b09046f9792f999e15de75d752ca588e3663ca09 model-00008-of-00008.safetensors + 0f887130aef63545d655ea2addab6168680efe9b6531cbc46c2e2fc599ac8abe OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_language_model.bin + 2d8dfbdcc2174aa6223621502dc566d9e881b7c3db3ff2e1e96a65cee7827edb OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_model.bin + 57fda7ab0340cda71819a3ecd5f9e52e346260fe840fddcc9c87d3614b5a815b OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_per_layer_model.bin + 13c9d8ff37be9592e06e8a9f65e2b047bdc6b24d5bc905c022e4d18996b3c382 OpenVINO_gemma-4-26b-a4b-it-int4-ov/openvino_vision_embeddings_model.bin + a359953a076b877db30c31dbbb4c6d93b4a6e017ee5db5784247e4d4c0dd4f3b google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B-it-mmproj.gguf + 3eca3b8f6d7baf218a7dd6bba5fb59a56ee25fe2d567b6f5f589b4f697eca51d google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + c082cc581c3ec90d70285c1a41c81544ff56cbc96650f16c900a280940655801 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/model.safetensors + d57e8bde0feda8b0ebf51a81d04b5d988f82fead7f9242d9231625929421453e google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00001-of-00002.safetensors + e5e6e258f562a77be81b0f5136eb2ca71e0d973cf30c4291e4d2c7b1fd712f99 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00002-of-00002.safetensors +data: gsm8k-test-0-199.jsonl 45e54be2df7426cb (openai/gsm8k main test @ 740312ad); ttft-prompt.txt b10cd3c79003d22e +H54q manifests (h54.py q-render, amendment Q2), sha256: + R: 15b0996db0f3e393 + OVQ: 453c8d628025fc6d + OVB: b7840780b78c5c1e + Lg: 720eaf9c5fc252ed + Vi: 95bc51d6588de0af +engine flags (Lg, Lg-mtp, Sg as rendered; B1g/Vq/Vi/A1o/A1g/B3g in each arm's deploy.yaml): + Lg: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 48 -Cr 0-47 --cpu-strict 1 --jinja + Lg-mtp: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 48 -Cr 0-47 --cpu-strict 1 --jinja -md /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf --spec-type draft-mtp + Sg: python3 -m sglang.launch_server --model-path /models/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized --device cpu --attention-backend intel_amx --tp 1 --host 0.0.0.0 --port 30000 --served-model-name gemma --max-total-tokens 65536 SGLANG_CPU_OMP_THREADS_BIND=0-47 diff --git a/bench/h54/results/2026-10-29/H54q/hold3/serving.jsonl.gz b/bench/h54/results/2026-10-29/H54q/hold3/serving.jsonl.gz new file mode 100644 index 00000000..251b7861 Binary files /dev/null and b/bench/h54/results/2026-10-29/H54q/hold3/serving.jsonl.gz differ diff --git a/bench/h54/results/2026-10-29/H54q/hold3/up.log b/bench/h54/results/2026-10-29/H54q/hold3/up.log new file mode 100644 index 00000000..1ec3cc39 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/up.log @@ -0,0 +1,28 @@ +==> Accelerators: amx +==> Experimental features (auto): dra image-volume +==> Creating k3d cluster 'k3dgpu-g-h54q-3' with image cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76... +INFO[0000] Prep: Network +INFO[0000] Created network 'k3d-k3dgpu-g-h54q-3' +INFO[0000] Created image volume k3d-k3dgpu-g-h54q-3-images +INFO[0000] Starting new tools node... +INFO[0000] Starting node 'k3d-k3dgpu-g-h54q-3-tools' +INFO[0001] Creating node 'k3d-k3dgpu-g-h54q-3-server-0' +INFO[0001] Using the k3d-tools node to gather environment information +INFO[0001] HostIP: using network gateway 172.19.0.1 address +INFO[0001] Starting cluster 'k3dgpu-g-h54q-3' +INFO[0001] Starting servers... +INFO[0001] Starting node 'k3d-k3dgpu-g-h54q-3-server-0' +INFO[0004] All agents already running. +INFO[0004] All helpers already running. +INFO[0004] Injecting records for hostAliases (incl. host.k3d.internal) and for 1 network members into CoreDNS configmap... +INFO[0006] Cluster 'k3dgpu-g-h54q-3' created successfully! +INFO[0006] --kubeconfig-update-default=false --> sets --kubeconfig-switch-context=false +INFO[0006] You can now use it like this: +export KUBECONFIG=$(/home/devcloud/k3dgpu-gemma/bin/k3d.real kubeconfig write k3dgpu-g-h54q-3) +kubectl cluster-info +==> kubectl for this cluster: export KUBECONFIG=/home/devcloud/k3dgpu-gemma/results/H54q/hold3/kubeconfig +==> Waiting for nodes Ready... +node/k3d-k3dgpu-g-h54q-3-server-0 condition met +==> Waiting for cluster DNS (CoreDNS)... +==> Verifying accelerators are schedulable... +==> Accelerators schedulable: amx=1. Try: k3d-gpu test diff --git a/bench/h54/results/2026-10-29/H54q/hold3/wait_s b/bench/h54/results/2026-10-29/H54q/hold3/wait_s new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/hold3/wait_s @@ -0,0 +1 @@ +0 diff --git a/bench/h54/results/2026-10-29/H54q/not-run.txt b/bench/h54/results/2026-10-29/H54q/not-run.txt new file mode 100644 index 00000000..f27b2a18 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/not-run.txt @@ -0,0 +1,6 @@ +arms with items left after the cap: +R: 0 items not answered +OVQ: 0 items not answered +OVB: 0 items not answered +Lg: 0 items not answered +Vi: 200 items not answered diff --git a/bench/h54/results/2026-10-29/H54q/plan-hold1.txt b/bench/h54/results/2026-10-29/H54q/plan-hold1.txt new file mode 100644 index 00000000..b9bdf18d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/plan-hold1.txt @@ -0,0 +1 @@ +R OVQ OVB Lg Vi diff --git a/bench/h54/results/2026-10-29/H54q/plan-hold2.txt b/bench/h54/results/2026-10-29/H54q/plan-hold2.txt new file mode 100644 index 00000000..1d229c25 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/plan-hold2.txt @@ -0,0 +1 @@ +OVB Lg Vi diff --git a/bench/h54/results/2026-10-29/H54q/plan-hold3.txt b/bench/h54/results/2026-10-29/H54q/plan-hold3.txt new file mode 100644 index 00000000..64ca259a --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/plan-hold3.txt @@ -0,0 +1 @@ +Vi diff --git a/bench/h54/results/2026-10-29/H54q/score-q.json b/bench/h54/results/2026-10-29/H54q/score-q.json new file mode 100644 index 00000000..5f4b3c63 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/score-q.json @@ -0,0 +1,98 @@ +{ + "arms": { + "R": { + "answered": 200, + "correct": 194, + "accuracy": 0.97, + "not_answered": 0, + "from_h54a": 0, + "wrong_by_error": 0, + "lost_holds": 0 + }, + "OVQ": { + "answered": 200, + "correct": 191, + "accuracy": 0.955, + "not_answered": 0, + "from_h54a": 50, + "wrong_by_error": 0, + "lost_holds": 0 + }, + "OVB": { + "answered": 200, + "correct": 192, + "accuracy": 0.96, + "not_answered": 0, + "from_h54a": 50, + "wrong_by_error": 0, + "lost_holds": 0 + }, + "Lg": { + "answered": 200, + "correct": 193, + "accuracy": 0.965, + "not_answered": 0, + "from_h54a": 50, + "wrong_by_error": 0, + "lost_holds": 0 + }, + "Vi": { + "answered": 0, + "correct": 0, + "accuracy": null, + "not_answered": 200, + "from_h54a": 0, + "wrong_by_error": 0, + "lost_holds": 1 + } + }, + "tests": { + "OVQ-R": { + "n": 200, + "diff": -0.015, + "ci95": [ + -0.035, + 0.0 + ], + "a_only": 0, + "b_only": 3 + }, + "OVB-OVQ": { + "n": 200, + "diff": 0.005, + "ci95": [ + -0.015, + 0.025 + ], + "a_only": 3, + "b_only": 2 + } + }, + "descriptive": { + "Lg-R": { + "n": 200, + "diff": -0.005, + "ci95": [ + -0.025, + 0.015 + ], + "a_only": 2, + "b_only": 3 + }, + "OVB-R": { + "n": 200, + "diff": -0.01, + "ci95": [ + -0.035, + 0.015 + ], + "a_only": 2, + "b_only": 4 + }, + "Vi-R": { + "missing": "Vi did not answer all 200 items" + } + }, + "verdict": "INCONCLUSIVE", + "reason": "neither the SUPPORTED bounds nor a REFUTED bound hold" +} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/apply.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/apply.log new file mode 100644 index 00000000..b1234f13 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/apply.log @@ -0,0 +1,3 @@ +namespace/h54 created +deployment.apps/lg created +service/lg created diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/arm.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/arm.log new file mode 100644 index 00000000..725eb83d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/arm.log @@ -0,0 +1,4 @@ +2026-10-29T19:44:51Z Lg start (2044 s before the item stop) +2026-10-29T19:45:25Z Lg ready after 34 s +q-smoke: {"todo": 2, "answered": 2, "errors": 0, "discarded": 0, "cut": 0, "not_asked": 0, "stopped": null, "end": "queue empty", "t0": 1793303125.627, "t1": 1793303129.13} +2026-10-29T19:45:29Z Lg status smoke: ready; wiring check in smoke-items.jsonl (rc 0) diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/boot.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/boot.json new file mode 100644 index 00000000..8511610f --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/boot.json @@ -0,0 +1 @@ +{"apply": 1793303091, "ready": 1793303125, "boot_s": 34, "limit_s": 900} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/delete.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/delete.log new file mode 100644 index 00000000..651ee755 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/delete.log @@ -0,0 +1,7 @@ +namespace "h54" deleted +deployment.apps "lg" deleted from h54 namespace +service "lg" deleted from h54 namespace +No resources found +time="2026-10-29T19:45:34Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T19:45:34Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/deploy.yaml b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/deploy.yaml new file mode 100644 index 00000000..5fbe1faa --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/deploy.yaml @@ -0,0 +1,74 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h54 +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: lg + namespace: h54 + labels: + app: lg +spec: + replicas: 1 + selector: + matchLabels: + app: lg + template: + metadata: + labels: + app: lg + spec: + containers: + - name: server + image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + imagePullPolicy: IfNotPresent + ports: + - name: http + containerPort: 8080 + volumeMounts: + - name: models + mountPath: /models + readOnly: true + - name: shm + mountPath: /dev/shm + args: + - -m + - /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + - --host + - 0.0.0.0 + - --port + - '8080' + - --alias + - gemma + - -t + - '48' + - -Cr + - 0-47 + - --cpu-strict + - '1' + - --jinja + terminationGracePeriodSeconds: 30 + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory + - name: shm + emptyDir: + medium: Memory + sizeLimit: 8Gi +--- +apiVersion: v1 +kind: Service +metadata: + name: lg + namespace: h54 +spec: + selector: + app: lg + ports: + - name: http + port: 8080 + targetPort: 8080 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/describe.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/describe.txt new file mode 100644 index 00000000..fa9635ce --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/describe.txt @@ -0,0 +1,80 @@ +Name: lg-64c55654d8-4xv56 +Namespace: h54 +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54smokeq-1-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 19:44:51 +0000 +Labels: app=lg + pod-template-hash=64c55654d8 +Annotations: +Status: Running +IP: 10.42.0.11 +IPs: + IP: 10.42.0.11 +Controlled By: ReplicaSet/lg-64c55654d8 +Containers: + server: + Container ID: containerd://c5c4aae88a5e2659002e5f2d72a93592d41a7b39264b612a2d638fa25b5f121d + Image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Image ID: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Port: 8080/TCP (http) + Host Port: 0/TCP (http) + Args: + -m + /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + --host + 0.0.0.0 + --port + 8080 + --alias + gemma + -t + 48 + -Cr + 0-47 + --cpu-strict + 1 + --jinja + State: Running + Started: Thu, 29 Oct 2026 19:45:06 +0000 + Ready: True + Restart Count: 0 + Environment: + Mounts: + /dev/shm from shm (rw) + /models from models (ro) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-8j2xb (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + shm: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: Memory + SizeLimit: 8Gi + kube-api-access-8j2xb: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: BestEffort +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 37s default-scheduler Successfully assigned h54/lg-64c55654d8-4xv56 to k3d-k3dgpu-g-h54smokeq-1-server-0 + Normal Pulling 38s kubelet spec.containers{server}: Pulling image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" + Normal Pulled 23s kubelet spec.containers{server}: Successfully pulled image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" in 14.731s (14.731s including waiting). Image size: 309412002 bytes. + Normal Created 23s kubelet spec.containers{server}: Container created + Normal Started 23s kubelet spec.containers{server}: Container started diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/hello.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/hello.json new file mode 100644 index 00000000..28895af6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","content":"","reasoning_content":"The user said \"Say hello.\"\nThe user wants a simple"}}],"created":1793303125,"model":"gemma","system_fingerprint":"b11749-1d88cb05f","object":"chat.completion","usage":{"completion_tokens":16,"prompt_tokens":19,"total_tokens":35,"prompt_tokens_details":{"cached_tokens":0}},"id":"chatcmpl-65p2r27QtOBdo5B0Al4TAJcKPygmDaqZ","timings":{"cache_n":0,"prompt_n":19,"prompt_ms":147.549,"prompt_per_token_ms":7.765736842105263,"prompt_per_second":128.7707812319975,"predicted_n":16,"predicted_ms":311.486,"predicted_per_token_ms":20.765733333333333,"predicted_per_second":48.15625742408969}} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/image.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/image.txt new file mode 100644 index 00000000..b00802a6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/image.txt @@ -0,0 +1 @@ +ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/isa.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/isa.txt new file mode 100644 index 00000000..7b8dec53 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/isa.txt @@ -0,0 +1,2 @@ +96 +96 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/models.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/models.json new file mode 100644 index 00000000..dc99369b --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/models.json @@ -0,0 +1 @@ +{"models":[{"name":"gemma","model":"gemma","modified_at":"","size":"","digest":"","type":"model","description":"","tags":[""],"capabilities":["completion"],"parameters":"","details":{"parent_model":"","format":"gguf","family":"","families":[""],"parameter_size":"","quantization_level":""}}],"object":"list","data":[{"id":"gemma","aliases":["gemma"],"tags":[],"object":"model","architecture":{"input_modalities":["text"],"output_modalities":["text"]},"created":1793303124,"owned_by":"llamacpp","meta":{"vocab_type":2,"n_vocab":262144,"n_ctx":262144,"n_ctx_train":262144,"n_embd":2816,"n_params":25233142046,"size":14423538808,"ftype":"Q4_0"}}]} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pf.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pf.log new file mode 100644 index 00000000..414da63f --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pf.log @@ -0,0 +1,7 @@ +Forwarding from 127.0.0.1:18601 -> 8080 +Forwarding from [::1]:18601 -> 8080 +Handling connection for 18601 +Handling connection for 18601 +Handling connection for 18601 +Handling connection for 18601 +Handling connection for 18601 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/phases.jsonl b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/phases.jsonl new file mode 100644 index 00000000..d5ca0527 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/phases.jsonl @@ -0,0 +1 @@ +{"phase": "items", "t0": 1793303125.572694777, "t1": 1793303129.168240037, "check": {"void": false, "reason": "non-campaign CPU 3.01 CPU-s/s"}} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pod.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pod.json new file mode 100644 index 00000000..5472b039 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pod.json @@ -0,0 +1,259 @@ +{ + "apiVersion": "v1", + "kind": "Pod", + "metadata": { + "creationTimestamp": "2026-10-29T19:44:51Z", + "generateName": "lg-64c55654d8-", + "generation": 1, + "labels": { + "app": "lg", + "pod-template-hash": "64c55654d8" + }, + "name": "lg-64c55654d8-4xv56", + "namespace": "h54", + "ownerReferences": [ + { + "apiVersion": "apps/v1", + "blockOwnerDeletion": true, + "controller": true, + "kind": "ReplicaSet", + "name": "lg-64c55654d8", + "uid": "53fab188-a17f-4abc-b60f-174bc85e6005" + } + ], + "resourceVersion": "1022", + "uid": "3a355514-bf9f-474f-a9df-7621da4b0946" + }, + "spec": { + "containers": [ + { + "args": [ + "-m", + "/models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf", + "--host", + "0.0.0.0", + "--port", + "8080", + "--alias", + "gemma", + "-t", + "48", + "-Cr", + "0-47", + "--cpu-strict", + "1", + "--jinja" + ], + "image": "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312", + "imagePullPolicy": "IfNotPresent", + "name": "server", + "ports": [ + { + "containerPort": 8080, + "name": "http", + "protocol": "TCP" + } + ], + "resources": {}, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-8j2xb", + "readOnly": true + } + ] + } + ], + "dnsPolicy": "ClusterFirst", + "enableServiceLinks": true, + "nodeName": "k3d-k3dgpu-g-h54smokeq-1-server-0", + "preemptionPolicy": "PreemptLowerPriority", + "priority": 0, + "restartPolicy": "Always", + "schedulerName": "default-scheduler", + "securityContext": {}, + "serviceAccount": "default", + "serviceAccountName": "default", + "terminationGracePeriodSeconds": 30, + "tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "emptyDir": { + "medium": "Memory", + "sizeLimit": "8Gi" + }, + "name": "shm" + }, + { + "name": "kube-api-access-8j2xb", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:44:51Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:44:51Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:45:06Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:45:06Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:44:51Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "containerID": "containerd://c5c4aae88a5e2659002e5f2d72a93592d41a7b39264b612a2d638fa25b5f121d", + "image": "sha256:521a6d74176d88e1bc20c9a4e87a9433a8354b69cc3ee85a060d732662eb91f1", + "imageID": "ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312", + "lastState": {}, + "name": "server", + "ready": true, + "resources": {}, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:45:06Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 0 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-8j2xb", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.19.0.2", + "hostIPs": [ + { + "ip": "172.19.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.11", + "podIPs": [ + { + "ip": "10.42.0.11" + } + ], + "qosClass": "BestEffort", + "resources": {}, + "startTime": "2026-10-29T19:44:51Z" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pods.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pods.txt new file mode 100644 index 00000000..19da00b6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h54 lg-64c55654d8-4xv56 1/1 Running 0 34s 10.42.0.11 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system coredns-577d995dff-zfwv6 1/1 Running 0 4m18s 10.42.0.4 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system helm-install-gateway-api-crd-k27dk 0/1 Completed 0 4m18s 10.42.0.7 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system local-path-provisioner-6858d854cf-fx6g2 1/1 Running 0 4m18s 10.42.0.5 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system metrics-server-778c4649b4-skfpw 1/1 Running 0 4m18s 10.42.0.8 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-5cnqq 1/1 Running 0 4m18s 10.42.0.2 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-n95f5 1/1 Running 0 4m18s 10.42.0.3 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-worker-4jjcc 1/1 Running 0 4m18s 10.42.0.6 k3d-k3dgpu-g-h54smokeq-1-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/server.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/server.log new file mode 100644 index 00000000..808e7090 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/server.log @@ -0,0 +1,37 @@ +warn: LLAMA_ARG_HOST environment variable is set, but will be overwritten by command line argument --host +warn: LLAMA_ARG_PORT environment variable is set, but will be overwritten by command line argument --port +0.00.000.964 I srv llama_server: initializing ... +0.00.008.607 I cmn common_param: common_params_print_info: verbosity = 3 (adjust with the `-lv N` CLI arg) +0.00.008.898 W srv llama_server: security: no API key is set and CORS allows all origins (see https://github.com/ggml-org/llama.cpp/pull/25655) +0.00.012.742 I srv load_model: loading model '/models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf' +0.01.023.415 W load: control-looking token: 212 '' was not control-type; this is probably a bug in the model. its type will be overridden +0.01.023.814 W load: control-looking token: 50 '<|tool_response>' was not control-type; this is probably a bug in the model. its type will be overridden +0.01.047.038 W load: '' is a normal token here, removing it from EOG list +0.10.171.801 I cmn init: llama threadpool init, n_threads = 48 +0.11.738.781 I srv load_model: initializing, n_slots = 4, n_ctx_slot = 262144, kv_unified = 'true' +0.11.745.024 I srv llama_server: model loaded +0.11.745.031 I srv llama_server: listening on http://0.0.0.0:8080 +0.18.079.780 I slot get_availabl: id 0 | task -1 | selected slot by LRU, n_tokens = 0, t_last = -1 +0.18.079.845 I slot launch_slot_: id 0 | task 0 | processing task, is_child = 0 +0.18.539.485 I slot print_timing: id 0 | task 0 | prompt eval time = 147.55 ms / 19 tokens ( 7.77 ms per token, 128.77 tokens per second) +0.18.539.493 I slot print_timing: id 0 | task 0 | eval time = 311.49 ms / 16 tokens ( 20.77 ms per token, 48.16 tokens per second) +0.18.539.493 I slot print_timing: id 0 | task 0 | total time = 459.03 ms / 35 tokens +0.18.539.500 I slot print_timing: id 0 | task 0 | graphs reused = 15 +0.18.539.501 I slot print_timing: id 0 | task 0 | graph reallocs = 0 / 0 (same size) / (changed size) +0.18.539.543 I slot release: id 0 | task 0 | stop processing: n_tokens = 34, truncated = 0 +0.18.885.423 I slot get_availabl: id 1 | task -1 | selected slot by LRU, n_tokens = 0, t_last = -1 +0.18.885.459 I slot launch_slot_: id 1 | task 19 | processing task, is_child = 0 +0.18.891.913 I slot get_availabl: id 2 | task -1 | selected slot by LRU, n_tokens = 0, t_last = -1 +0.18.891.947 I slot launch_slot_: id 2 | task 20 | processing task, is_child = 0 +0.21.889.550 I slot print_timing: id 2 | task 20 | prompt eval time = 339.31 ms / 50 tokens ( 6.79 ms per token, 147.36 tokens per second) +0.21.889.560 I slot print_timing: id 2 | task 20 | eval time = 2657.95 ms / 71 tokens ( 37.97 ms per token, 26.34 tokens per second) +0.21.889.561 I slot print_timing: id 2 | task 20 | total time = 2997.26 ms / 121 tokens +0.21.889.562 I slot print_timing: id 2 | task 20 | graphs reused = 84 +0.21.889.563 I slot print_timing: id 2 | task 20 | graph reallocs = 0 / 0 (same size) / (changed size) +0.21.889.591 I slot release: id 2 | task 20 | stop processing: n_tokens = 120, truncated = 0 +0.22.079.711 I slot print_timing: id 1 | task 19 | prompt eval time = 338.01 ms / 49 tokens ( 6.90 ms per token, 144.97 tokens per second) +0.22.079.716 I slot print_timing: id 1 | task 19 | eval time = 2849.52 ms / 80 tokens ( 36.07 ms per token, 27.72 tokens per second) +0.22.079.716 I slot print_timing: id 1 | task 19 | total time = 3187.53 ms / 129 tokens +0.22.079.717 I slot print_timing: id 1 | task 19 | graphs reused = 92 +0.22.079.718 I slot print_timing: id 1 | task 19 | graph reallocs = 0 / 0 (same size) / (changed size) +0.22.079.736 I slot release: id 1 | task 19 | stop processing: n_tokens = 128, truncated = 0 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/smoke-items.jsonl b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/smoke-items.jsonl new file mode 100644 index 00000000..2430be78 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/smoke-items.jsonl @@ -0,0 +1,2 @@ +{"seq": 1, "idx": 1000, "ok": true, "gold": "7", "reply": "To find the total number of pens in the box, you need to add the number of red pens and the number of blue pens together.\n\n1. Number of red pens = 3\n2. Number of blue pens = 4\n3. Total pens = 3 + 4 = 7\n\nAnswer: 7", "usage": {"completion_tokens": 71, "prompt_tokens": 50, "total_tokens": 121, "prompt_tokens_details": {"cached_tokens": 0}}, "error": null, "prior_errors": 0, "t0": 1793303125.628, "t1": 1793303128.644, "s": 3.02} +{"seq": 2, "idx": 1001, "ok": true, "gold": "6", "reply": "To find out how many apples Sam has left, we subtract the number of apples given away from the initial number of apples.\n\n1. **Initial number of apples:** 10\n2. **Apples given away:** 4\n3. **Calculation:** 10 - 4 = 6\n\nSam has 6 apples left.\n\nAnswer: 6", "usage": {"completion_tokens": 80, "prompt_tokens": 49, "total_tokens": 129, "prompt_tokens_details": {"cached_tokens": 0}}, "error": null, "prior_errors": 0, "t0": 1793303125.628, "t1": 1793303128.834, "s": 3.21} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/status.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/status.json new file mode 100644 index 00000000..be674398 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/Lg/status.json @@ -0,0 +1 @@ +{"status": "smoke", "reason": "ready; wiring check in smoke-items.jsonl (rc 0)", "at": "2026-10-29T19:45:29Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/apply.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/apply.log new file mode 100644 index 00000000..32945d1d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/apply.log @@ -0,0 +1,3 @@ +namespace/k3d-gpu-agent created +deployment.apps/ovms created +service/ovms created diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/arm.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/arm.log new file mode 100644 index 00000000..fe662d47 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/arm.log @@ -0,0 +1,4 @@ +2026-10-29T19:43:45Z OVQ start (2110 s before the item stop) +2026-10-29T19:44:19Z OVQ ready after 34 s +q-smoke: {"todo": 2, "answered": 2, "errors": 0, "discarded": 0, "cut": 0, "not_asked": 0, "stopped": null, "end": "queue empty", "t0": 1793303059.921, "t1": 1793303069.424} +2026-10-29T19:44:29Z OVQ status smoke: ready; wiring check in smoke-items.jsonl (rc 0) diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/boot.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/boot.json new file mode 100644 index 00000000..cd3cd343 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/boot.json @@ -0,0 +1 @@ +{"apply": 1793303025, "ready": 1793303059, "boot_s": 34, "limit_s": 900} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/delete.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/delete.log new file mode 100644 index 00000000..c0766246 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/delete.log @@ -0,0 +1,7 @@ +namespace "k3d-gpu-agent" deleted +deployment.apps "ovms" deleted from k3d-gpu-agent namespace +service "ovms" deleted from k3d-gpu-agent namespace +No resources found +time="2026-10-29T19:44:39Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T19:44:39Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/deploy.yaml b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/deploy.yaml new file mode 100644 index 00000000..1b3adee2 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/deploy.yaml @@ -0,0 +1,87 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + initContainers: + - name: pull + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --pull + - --source_model=k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + - --model_repository_path=/models + - --model_name=gemma + - --task=text_generation + - --target_device=CPU + volumeMounts: + - name: models + mountPath: /models + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + - --model_name=gemma + - --cache_dir=/models/.ov_cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: '1' + memory: 6Gi + volumeMounts: + - name: models + mountPath: /models + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/describe.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/describe.txt new file mode 100644 index 00000000..1ec40a88 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/describe.txt @@ -0,0 +1,99 @@ +Name: ovms-5756fcf584-wcr2t +Namespace: k3d-gpu-agent +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54smokeq-1-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 19:43:45 +0000 +Labels: app=ovms + pod-template-hash=5756fcf584 +Annotations: k3d-gpu.io/agent-device: CPU +Status: Running +IP: 10.42.0.10 +IPs: + IP: 10.42.0.10 +Controlled By: ReplicaSet/ovms-5756fcf584 +Init Containers: + pull: + Container ID: containerd://38c0a811c43416b9da2374adfa7d1315710c0736dcb752f42e2a9d6c4518262e + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: + Host Port: + Args: + --pull + --source_model=k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + --model_repository_path=/models + --model_name=gemma + --task=text_generation + --target_device=CPU + State: Terminated + Reason: Completed + Exit Code: 0 + Started: Thu, 29 Oct 2026 19:43:58 +0000 + Finished: Thu, 29 Oct 2026 19:43:58 +0000 + Ready: True + Restart Count: 0 + Environment: + Mounts: + /models from models (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-2rhlw (ro) +Containers: + ovms: + Container ID: containerd://0db8b53644952d7adcd8aa8ba91cb4f87be30ee13f3680de1df3b9c9476964d9 + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: 8000/TCP (http) + Host Port: 0/TCP (http) + Args: + --rest_port=8000 + --model_path=/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov + --model_name=gemma + --cache_dir=/models/.ov_cache + --log_level=INFO + State: Running + Started: Thu, 29 Oct 2026 19:43:59 +0000 + Ready: True + Restart Count: 0 + Requests: + cpu: 1 + memory: 6Gi + Readiness: http-get http://:http/v2/health/ready delay=0s timeout=1s period=5s #success=1 #failure=3 + Environment: + Mounts: + /models from models (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-2rhlw (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + kube-api-access-2rhlw: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 44s default-scheduler Successfully assigned k3d-gpu-agent/ovms-5756fcf584-wcr2t to k3d-k3dgpu-g-h54smokeq-1-server-0 + Normal Pulling 44s kubelet spec.initContainers{pull}: Pulling image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" + Normal Pulled 31s kubelet spec.initContainers{pull}: Successfully pulled image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" in 12.834s (12.834s including waiting). Image size: 404902607 bytes. + Normal Created 31s kubelet spec.initContainers{pull}: Container created + Normal Started 31s kubelet spec.initContainers{pull}: Container started + Normal Pulled 30s kubelet spec.containers{ovms}: Container image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" already present on machine and can be accessed by the pod + Normal Created 30s kubelet spec.containers{ovms}: Container created + Normal Started 30s kubelet spec.containers{ovms}: Container started + Warning Unhealthy 30s kubelet spec.containers{ovms}: Readiness probe failed: Get "http://10.42.0.10:8000/v2/health/ready": dial tcp 10.42.0.10:8000: connect: connection refused + Warning Unhealthy 18s (x4 over 29s) kubelet spec.containers{ovms}: Readiness probe failed: HTTP probe failed with statuscode: 503 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/hello.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/hello.json new file mode 100644 index 00000000..f647fdf6 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Hello! How can I help you today?","role":"assistant","tool_calls":[]}}],"created":1793303058,"model":"gemma","object":"chat.completion","usage":{"prompt_tokens":16,"completion_tokens":10,"total_tokens":26}} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/image.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/image.txt new file mode 100644 index 00000000..5521c2bd --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/image.txt @@ -0,0 +1 @@ +openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/isa.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/isa.txt new file mode 100644 index 00000000..7b8dec53 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/isa.txt @@ -0,0 +1,2 @@ +96 +96 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/models.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/models.json new file mode 100644 index 00000000..b423bdbc --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/models.json @@ -0,0 +1 @@ +{"data":[{"id":"gemma","object":"model","created":1793303058,"owned_by":"OVMS"}],"object":"list"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pf.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pf.log new file mode 100644 index 00000000..60d8a050 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pf.log @@ -0,0 +1,8 @@ +Forwarding from 127.0.0.1:18661 -> 8000 +Forwarding from [::1]:18661 -> 8000 +Handling connection for 18661 +Handling connection for 18661 +Handling connection for 18661 +Handling connection for 18661 +Handling connection for 18661 +Handling connection for 18661 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/phases.jsonl b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/phases.jsonl new file mode 100644 index 00000000..d321d42b --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/phases.jsonl @@ -0,0 +1 @@ +{"phase": "items", "t0": 1793303059.866027575, "t1": 1793303069.462940325, "check": {"void": true, "reason": "non-campaign CPU 4.33 CPU-s/s > 4.0"}} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pod.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pod.json new file mode 100644 index 00000000..92740532 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pod.json @@ -0,0 +1,348 @@ +{ + "apiVersion": "v1", + "kind": "Pod", + "metadata": { + "annotations": { + "k3d-gpu.io/agent-device": "CPU" + }, + "creationTimestamp": "2026-10-29T19:43:45Z", + "generateName": "ovms-5756fcf584-", + "generation": 1, + "labels": { + "app": "ovms", + "pod-template-hash": "5756fcf584" + }, + "name": "ovms-5756fcf584-wcr2t", + "namespace": "k3d-gpu-agent", + "ownerReferences": [ + { + "apiVersion": "apps/v1", + "blockOwnerDeletion": true, + "controller": true, + "kind": "ReplicaSet", + "name": "ovms-5756fcf584", + "uid": "82f1e956-724d-4db5-b797-29dffac48bc2" + } + ], + "resourceVersion": "943", + "uid": "c6546a08-572d-4781-b66c-8db3420f97c7" + }, + "spec": { + "containers": [ + { + "args": [ + "--rest_port=8000", + "--model_path=/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov", + "--model_name=gemma", + "--cache_dir=/models/.ov_cache", + "--log_level=INFO" + ], + "image": "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "imagePullPolicy": "IfNotPresent", + "name": "ovms", + "ports": [ + { + "containerPort": 8000, + "name": "http", + "protocol": "TCP" + } + ], + "readinessProbe": { + "failureThreshold": 3, + "httpGet": { + "path": "/v2/health/ready", + "port": "http", + "scheme": "HTTP" + }, + "periodSeconds": 5, + "successThreshold": 1, + "timeoutSeconds": 1 + }, + "resources": { + "requests": { + "cpu": "1", + "memory": "6Gi" + } + }, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-2rhlw", + "readOnly": true + } + ] + } + ], + "dnsPolicy": "ClusterFirst", + "enableServiceLinks": true, + "initContainers": [ + { + "args": [ + "--pull", + "--source_model=k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov", + "--model_repository_path=/models", + "--model_name=gemma", + "--task=text_generation", + "--target_device=CPU" + ], + "image": "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "imagePullPolicy": "IfNotPresent", + "name": "pull", + "resources": {}, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-2rhlw", + "readOnly": true + } + ] + } + ], + "nodeName": "k3d-k3dgpu-g-h54smokeq-1-server-0", + "preemptionPolicy": "PreemptLowerPriority", + "priority": 0, + "restartPolicy": "Always", + "schedulerName": "default-scheduler", + "securityContext": { + "fsGroup": 5000, + "runAsGroup": 5000, + "runAsUser": 5000 + }, + "serviceAccount": "default", + "serviceAccountName": "default", + "terminationGracePeriodSeconds": 30, + "tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "name": "kube-api-access-2rhlw", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "allocatedResources": { + "cpu": "1", + "memory": "6Gi" + }, + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:45Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:59Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:44:16Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:44:16Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:45Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "allocatedResources": { + "cpu": "1", + "memory": "6Gi" + }, + "containerID": "containerd://0db8b53644952d7adcd8aa8ba91cb4f87be30ee13f3680de1df3b9c9476964d9", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "ovms", + "ready": true, + "resources": { + "requests": { + "cpu": "1", + "memory": "6Gi" + } + }, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:43:59Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-2rhlw", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.19.0.2", + "hostIPs": [ + { + "ip": "172.19.0.2" + } + ], + "initContainerStatuses": [ + { + "containerID": "containerd://38c0a811c43416b9da2374adfa7d1315710c0736dcb752f42e2a9d6c4518262e", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "pull", + "ready": true, + "resources": {}, + "restartCount": 0, + "started": false, + "state": { + "terminated": { + "containerID": "containerd://38c0a811c43416b9da2374adfa7d1315710c0736dcb752f42e2a9d6c4518262e", + "exitCode": 0, + "finishedAt": "2026-10-29T19:43:58Z", + "reason": "Completed", + "startedAt": "2026-10-29T19:43:58Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-2rhlw", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.10", + "podIPs": [ + { + "ip": "10.42.0.10" + } + ], + "qosClass": "Burstable", + "resources": { + "requests": { + "cpu": "975m", + "memory": "6Gi" + } + }, + "startTime": "2026-10-29T19:43:45Z" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pods.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pods.txt new file mode 100644 index 00000000..9f274cd9 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +k3d-gpu-agent ovms-5756fcf584-wcr2t 1/1 Running 0 34s 10.42.0.10 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system coredns-577d995dff-zfwv6 1/1 Running 0 3m12s 10.42.0.4 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system helm-install-gateway-api-crd-k27dk 0/1 Completed 0 3m12s 10.42.0.7 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system local-path-provisioner-6858d854cf-fx6g2 1/1 Running 0 3m12s 10.42.0.5 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system metrics-server-778c4649b4-skfpw 1/1 Running 0 3m12s 10.42.0.8 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-5cnqq 1/1 Running 0 3m12s 10.42.0.2 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-n95f5 1/1 Running 0 3m12s 10.42.0.3 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-worker-4jjcc 1/1 Running 0 3m12s 10.42.0.6 k3d-k3dgpu-g-h54smokeq-1-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/server.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/server.log new file mode 100644 index 00000000..ff3102cf --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/server.log @@ -0,0 +1,51 @@ +[INFO] LFS resume: attempts=5 interval=10 s +[2026-10-29 19:43:58.562][1][serving][info][libgit2.cpp:1342] Path "/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov" exists but is not a git repository. Skipping download and using existing files. +Model: k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov downloaded to: /models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov +Graph: graph.pbtxt created in: /models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov +[2026-10-29 19:43:59.382][1][serving][info][server.cpp:115] OpenVINO Model Server 2026.4.1.cfc9ac721 +[2026-10-29 19:43:59.382][1][serving][info][server.cpp:116] OpenVINO backend 2026.4.1-22982-e213a147257-releases/2026/4 +[2026-10-29 19:43:59.382][1][serving][info][server.cpp:119] OpenVINO GenAI backend 2026.4.1.0-3408-ab01d1771e4 +[2026-10-29 19:43:59.382][1][serving][info][pythoninterpretermodule.cpp:37] PythonInterpreterModule starting +[2026-10-29 19:43:59.382][1][serving][info][pythoninterpretermodule.cpp:40] Initializing python interpreter +[2026-10-29 19:43:59.437][1][serving][info][pythoninterpretermodule.cpp:59] PythonInterpreterModule started +[2026-10-29 19:43:59.438][1][modelmanager][info][modelmanager.cpp:206] Model cache is enabled: /models/.ov_cache +[2026-10-29 19:43:59.438][8][modelmanager][info][servable_loading_queue.cpp:89] Started servable loading queue thread +[2026-10-29 19:43:59.478][1][modelmanager][info][modelmanager.cpp:252] Available devices for Open VINO: CPU +[2026-10-29 19:43:59.478][1][serving][info][capimodule.cpp:40] C-APIModule starting +[2026-10-29 19:43:59.478][1][serving][info][capimodule.cpp:42] C-APIModule started +[2026-10-29 19:43:59.478][1][serving][info][grpcservermodule.cpp:106] GRPCServerModule starting +[2026-10-29 19:43:59.478][1][serving][info][grpcservermodule.cpp:110] GRPCServerModule started +[2026-10-29 19:43:59.478][1][serving][info][grpcservermodule.cpp:111] Port was not set. GRPC server will not be started. +[2026-10-29 19:43:59.478][1][serving][info][httpservermodule.cpp:35] HTTPServerModule starting +[2026-10-29 19:43:59.478][1][serving][info][httpservermodule.cpp:39] Will start 96 REST workers +[2026-10-29 19:43:59.487][104][serving][info][drogon_http_server.cpp:157] Binding REST server to address: 0.0.0.0:8000 +[2026-10-29 19:43:59.587][1][serving][info][drogon_http_server.cpp:184] REST server listening on port 8000 with 96 unary threads and 96 streaming threads +[2026-10-29 19:43:59.587][1][serving][info][http_server.cpp:242] API key not provided via --api_key_file or API_KEY environment variable. Authentication will be disabled. +[2026-10-29 19:43:59.587][1][serving][info][httpservermodule.cpp:52] HTTPServerModule started +[2026-10-29 19:43:59.587][1][serving][info][httpservermodule.cpp:53] Started REST server at 0.0.0.0:8000 +[2026-10-29 19:43:59.587][1][serving][info][servablemanagermodule.cpp:51] ServableManagerModule starting +[2026-10-29 19:43:59.589][8][serving][info][mediapipegraphdefinition.cpp:643] MediapipeGraphDefinition initializing graph nodes +[2026-10-29 19:43:59.589][8][modelmanager][info][servable_initializer.cpp:688] Initializing Visual Language Model Continuous Batching servable +[2026-10-29 19:44:13.043][8][llm_calculator][info][servable_initializer.cpp:231] Auto-detected tool_parser: gemma4 +[2026-10-29 19:44:13.043][8][llm_calculator][info][servable_initializer.cpp:241] Auto-detected reasoning_parser: gemma4 +[2026-10-29 19:44:13.045][606][llm_executor][info][llm_executor.hpp:128] All requests: 0; Scheduled requests: 0; +[2026-10-29 19:44:13.054][8][modelmanager][info][mediapipegraphdefinition.cpp:300] Mediapipe: gemma inputs: +name: input; mapping: ; shape: (); precision: UNDEFINED; layout: ... +[2026-10-29 19:44:13.054][8][modelmanager][info][mediapipegraphdefinition.cpp:301] Mediapipe: gemma outputs: +name: output; mapping: ; shape: (); precision: UNDEFINED; layout: ... +[2026-10-29 19:44:13.054][8][modelmanager][info][mediapipegraphdefinition.cpp:302] Mediapipe: gemma kfs pass through: false +[2026-10-29 19:44:13.054][8][modelmanager][info][pipelinedefinitionstatus.hpp:60] Mediapipe: gemma state changed to: AVAILABLE after handling: ValidationPassedEvent: +[2026-10-29 19:44:13.055][1][serving][info][servablemanagermodule.cpp:55] ServableManagerModule started +[2026-10-29 19:44:13.055][703][modelmanager][info][modelmanager.cpp:1184] Started model manager thread +[2026-10-29 19:44:13.055][704][modelmanager][info][modelmanager.cpp:1213] Started cleaner thread +[2026-10-29 19:44:19.577][606][llm_executor][info][llm_executor.hpp:104] All requests: 1; Scheduled requests: 1; Cache type: dynamic, cache usage: 100.0% of 3.9 MB; +[2026-10-29 19:44:19.577][606][llm_executor][info][llm_executor.hpp:128] All requests: 0; Scheduled requests: 0; +[2026-10-29 19:44:22.065][606][llm_executor][info][llm_executor.hpp:104] All requests: 2; Scheduled requests: 2; Cache type: dynamic, cache usage: 50.0% of 31.3 MB; +[2026-10-29 19:44:23.135][606][llm_executor][info][llm_executor.hpp:104] All requests: 2; Scheduled requests: 2; Cache type: dynamic, cache usage: 75.0% of 31.3 MB; +[2026-10-29 19:44:24.201][606][llm_executor][info][llm_executor.hpp:104] All requests: 2; Scheduled requests: 2; Cache type: dynamic, cache usage: 75.0% of 31.3 MB; +[2026-10-29 19:44:25.295][606][llm_executor][info][llm_executor.hpp:104] All requests: 2; Scheduled requests: 2; Cache type: dynamic, cache usage: 75.0% of 31.3 MB; +[2026-10-29 19:44:26.372][606][llm_executor][info][llm_executor.hpp:104] All requests: 2; Scheduled requests: 2; Cache type: dynamic, cache usage: 100.0% of 31.3 MB; +[2026-10-29 19:44:27.420][606][llm_executor][info][llm_executor.hpp:104] All requests: 2; Scheduled requests: 2; Cache type: dynamic, cache usage: 100.0% of 31.3 MB; +[2026-10-29 19:44:28.535][606][llm_executor][info][llm_executor.hpp:104] All requests: 2; Scheduled requests: 2; Cache type: dynamic, cache usage: 100.0% of 31.3 MB; +[2026-10-29 19:44:29.042][606][llm_executor][info][llm_executor.hpp:104] All requests: 1; Scheduled requests: 1; Cache type: dynamic, cache usage: 50.0% of 31.3 MB; +[2026-10-29 19:44:29.158][606][llm_executor][info][llm_executor.hpp:128] All requests: 0; Scheduled requests: 0; diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/smoke-items.jsonl b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/smoke-items.jsonl new file mode 100644 index 00000000..33f8c665 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/smoke-items.jsonl @@ -0,0 +1,2 @@ +{"seq": 1, "idx": 1000, "ok": true, "gold": "7", "reply": "To find the total number of pens in the box, you need to add the number of red pens to the number of blue pens.\n\n1. Number of red pens = 3\n2. Number of blue pens = 4\n3. Total pens = 3 + 4 = 7\n\nAnswer: 7", "usage": {"prompt_tokens": 50, "completion_tokens": 70, "total_tokens": 120}, "error": null, "prior_errors": 0, "t0": 1793303059.921, "t1": 1793303068.67, "s": 8.75} +{"seq": 2, "idx": 1001, "ok": true, "gold": "6", "reply": "To find out how many apples Sam has left, follow these steps:\n\n1. **Identify the starting amount:** Sam has 10 apples.\n2. **Identify the amount given away:** Sam gives away 4 apples.\n3. **Perform the subtraction:** $10 - 4 = 6$.\n\nSam has 6 apples left.\n\nAnswer: 6", "usage": {"prompt_tokens": 49, "completion_tokens": 82, "total_tokens": 131}, "error": null, "prior_errors": 0, "t0": 1793303059.922, "t1": 1793303069.203, "s": 9.28} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/status.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/status.json new file mode 100644 index 00000000..2b4b9c0b --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/OVQ/status.json @@ -0,0 +1 @@ +{"status": "smoke", "reason": "ready; wiring check in smoke-items.jsonl (rc 0)", "at": "2026-10-29T19:44:29Z"} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/apply.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/apply.log new file mode 100644 index 00000000..fb81c121 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/apply.log @@ -0,0 +1,5 @@ +namespace/h54 created +configmap/vq-chat-templates created +configmap/vq-config created +service/vq created +deployment.apps/vq created diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/arm.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/arm.log new file mode 100644 index 00000000..f8ad279c --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/arm.log @@ -0,0 +1,4 @@ +2026-10-29T19:41:25Z R start (2250 s before the item stop) +2026-10-29T19:43:19Z R ready after 114 s +q-smoke: {"todo": 2, "answered": 2, "errors": 0, "discarded": 0, "cut": 0, "not_asked": 0, "stopped": null, "end": "queue empty", "t0": 1793303000.168, "t1": 1793303007.671} +2026-10-29T19:43:27Z R status smoke: ready; wiring check in smoke-items.jsonl (rc 0) diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/boot.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/boot.json new file mode 100644 index 00000000..d6000d31 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/boot.json @@ -0,0 +1 @@ +{"apply": 1793302885, "ready": 1793302999, "boot_s": 114, "limit_s": 1500} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/delete.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/delete.log new file mode 100644 index 00000000..28fd7c95 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/delete.log @@ -0,0 +1,9 @@ +namespace "h54" deleted +configmap "vq-chat-templates" deleted from h54 namespace +configmap "vq-config" deleted from h54 namespace +service "vq" deleted from h54 namespace +deployment.apps "vq" deleted from h54 namespace +No resources found +time="2026-10-29T19:43:33Z" level=warning msg="Config \"/etc/crictl.yaml\" does not exist, trying next: \"/usr/bin/crictl.yaml\"" +time="2026-10-29T19:43:33Z" level=warning msg="Image connect using default endpoints: [unix:///run/k3s/containerd/containerd.sock unix:///var/run/dockershim.sock unix:///run/containerd/containerd.sock unix:///run/crio/crio.sock unix:///var/run/cri-dockerd.sock]. As the default settings are now deprecated, you should set the endpoint instead." +Deleted: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/deploy.yaml b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/deploy.yaml new file mode 100644 index 00000000..7a8045bd --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/deploy.yaml @@ -0,0 +1,561 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h54 +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vq-chat-templates + namespace: h54 + labels: + app: vq +data: + tool_chat_template_qwen3coder.jinja: "{% macro render_extra_keys(json_dict, handled_keys)\ + \ %}\n {%- if json_dict is mapping %}\n {%- for json_key in json_dict\ + \ if json_key not in handled_keys %}\n {%- if json_dict[json_key] is\ + \ mapping or (json_dict[json_key] is sequence and json_dict[json_key] is not string)\ + \ %}\n {{- '\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | tojson\ + \ | safe) ~ '' }}\n {%- else %}\n \ + \ {{-'\\n<' ~ json_key ~ '>' ~ (json_dict[json_key] | string) ~ '' }}\n {%- endif %}\n {%- endfor %}\n {%- endif %}\n\ + {% endmacro %}\n\n{%- if messages[0][\"role\"] == \"system\" %}\n {%- set system_message\ + \ = messages[0][\"content\"] %}\n {%- set loop_messages = messages[1:] %}\n\ + {%- else %}\n {%- set loop_messages = messages %}\n{%- endif %}\n\n{%- if not\ + \ tools is defined %}\n {%- set tools = [] %}\n{%- endif %}\n\n{%- if system_message\ + \ is defined %}\n {{- \"<|im_start|>system\\n\" + system_message }}\n{%- else\ + \ %}\n {%- if tools is iterable and tools | length > 0 %}\n {{- \"<|im_start|>system\\\ + nYou are Qwen, a helpful AI assistant that can interact with a computer to solve\ + \ tasks.\" }}\n {%- endif %}\n{%- endif %}\n{%- if tools is iterable and tools\ + \ | length > 0 %}\n {{- \"\\n\\n# Tools\\n\\nYou have access to the following\ + \ functions:\\n\\n\" }}\n {{- \"\" }}\n {%- for tool in tools %}\n\ + \ {%- if tool.function is defined %}\n {%- set tool = tool.function\ + \ %}\n {%- endif %}\n {{- \"\\n\\n\" ~ tool.name\ + \ ~ \"\" }}\n {%- if tool.description is defined %}\n \ + \ {{- '\\n' ~ (tool.description | trim) ~ '' }}\n\ + \ {%- endif %}\n {{- '\\n' }}\n {%- if tool.parameters\ + \ is defined and tool.parameters is mapping and tool.parameters.properties is\ + \ defined and tool.parameters.properties is mapping %}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- '\\\ + n' }}\n {{- '\\n' ~ param_name ~ '' }}\n\ + \ {%- if param_fields.type is defined %}\n {{-\ + \ '\\n' ~ (param_fields.type | string) ~ '' }}\n {%-\ + \ endif %}\n {%- if param_fields.description is defined %}\n \ + \ {{- '\\n' ~ (param_fields.description | trim)\ + \ ~ '' }}\n {%- endif %}\n {%- set\ + \ handled_keys = ['name', 'type', 'description'] %}\n {{- render_extra_keys(param_fields,\ + \ handled_keys) }}\n {{- '\\n' }}\n {%-\ + \ endfor %}\n {%- endif %}\n {% set handled_keys = ['type', 'properties']\ + \ %}\n {{- render_extra_keys(tool.parameters, handled_keys) }}\n \ + \ {{- '\\n' }}\n {%- set handled_keys = ['type', 'name',\ + \ 'description', 'parameters'] %}\n {{- render_extra_keys(tool, handled_keys)\ + \ }}\n {{- '\\n' }}\n {%- endfor %}\n {{- \"\\n\"\ + \ }}\n {{- '\\n\\nIf you choose to call a function ONLY reply in the following\ + \ format with NO suffix:\\n\\n\\n\\\ + n\\nvalue_1\\n\\n\\\ + nThis is the value for the second parameter\\nthat can span\\nmultiple lines\\\ + n\\n\\n\\n\\n\\nReminder:\\n- Function\ + \ calls MUST follow the specified format: an inner block\ + \ must be nested within XML tags\\n- Required parameters\ + \ MUST be specified\\n- You may provide optional reasoning for your function call\ + \ in natural language BEFORE the function call, but NOT after\\n- If there is\ + \ no function call available, answer the question like normal with your current\ + \ knowledge and do not tell the user about function calls\\n' }}\n\ + {%- endif %}\n{%- if system_message is defined %}\n {{- '<|im_end|>\\n' }}\n\ + {%- else %}\n {%- if tools is iterable and tools | length > 0 %}\n {{-\ + \ '<|im_end|>\\n' }}\n {%- endif %}\n{%- endif %}\n{%- for message in loop_messages\ + \ %}\n {%- if message.role == \"assistant\" and message.tool_calls is defined\ + \ and message.tool_calls is iterable and message.tool_calls | length > 0 %}\n\ + \ {{- '<|im_start|>' + message.role }}\n {%- if message.content\ + \ is defined and message.content is string and message.content | trim | length\ + \ > 0 %}\n {{- '\\n' + message.content | trim + '\\n' }}\n {%-\ + \ endif %}\n {%- for tool_call in message.tool_calls %}\n {%-\ + \ if tool_call.function is defined %}\n {%- set tool_call = tool_call.function\ + \ %}\n {%- endif %}\n {{- '\\n\\n\\n' }}\n {%- if tool_call.arguments is defined\ + \ %}\n {%- for args_name, args_value in tool_call.arguments|items\ + \ %}\n {{- '\\n' }}\n \ + \ {%- set args_value = args_value | tojson | safe if args_value is\ + \ mapping or (args_value is sequence and args_value is not string) else args_value\ + \ | string %}\n {{- args_value }}\n {{-\ + \ '\\n\\n' }}\n {%- endfor %}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {%- endfor %}\n\ + \ {{- '<|im_end|>\\n' }}\n {%- elif message.role == \"user\" or message.role\ + \ == \"system\" or message.role == \"assistant\" %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role\ + \ != \"tool\" %}\n {{- '<|im_start|>user\\n' }}\n {%- endif\ + \ %}\n {{- '\\n' }}\n {{- message.content }}\n \ + \ {{- '\\n\\n' }}\n {%- if not loop.last and loop.nextitem.role\ + \ != \"tool\" %}\n {{- '<|im_end|>\\n' }}\n {%- elif loop.last\ + \ %}\n {{- '<|im_end|>\\n' }}\n {%- endif %}\n {%- else %}\n\ + \ {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>\\\ + n' }}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{-\ + \ '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_hermes.jinja: "{%- macro json_to_python_type(json_spec) %}\n\ + \ {%- set basic_type_map = {\n \"string\": \"str\",\n \"number\": \"\ + float\",\n \"integer\": \"int\",\n \"boolean\": \"bool\"\n} %}\n\n {%-\ + \ if basic_type_map[json_spec.type] is defined %}\n {{- basic_type_map[json_spec.type]\ + \ }}\n {%- elif json_spec.type == \"array\" %}\n {{- \"list[\" + json_to_python_type(json_spec|items)\ + \ + \"]\" }}\n {%- elif json_spec.type == \"object\" %}\n {%- if json_spec.additionalProperties\ + \ is defined %}\n {{- \"dict[str, \" + json_to_python_type(json_spec.additionalProperties)\ + \ + ']' }}\n {%- else %}\n {{- \"dict\" }}\n {%- endif\ + \ %}\n {%- elif json_spec.type is iterable %}\n {{- \"Union[\" }}\n\ + \ {%- for t in json_spec.type %}\n {{- json_to_python_type({\"\ + type\": t}) }}\n {%- if not loop.last %}\n {{- \",\"\ + \ }}\n {%- endif %}\n {%- endfor %}\n {{- \"]\" }}\n\ + \ {%- else %}\n {{- \"Any\" }}\n {%- endif %}\n{%- endmacro %}\n\n\ + \n{{- bos_token }}\n{{- \"<|im_start|>system\\nYou are a function calling AI model.\ + \ You are provided with function signatures within XML tags. You\ + \ may call one or more functions to assist with the user query. Don't make assumptions\ + \ about what values to plug into functions. Here are the available tools: \ + \ \" }}\n{%- if tools is iterable and tools | length > 0 %}\n {%- for tool\ + \ in tools %}\n {%- if tool.function is defined %}\n {%- set\ + \ tool = tool.function %}\n {%- endif %}\n {{- '{\"type\": \"function\"\ + , \"function\": ' }}\n {{- '{\"name\": \"' + tool.name + '\", ' }}\n \ + \ {{- '\"description\": \"' + tool.name + '(' }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {{- param_name\ + \ + \": \" + json_to_python_type(param_fields) }}\n {%- if not loop.last\ + \ %}\n {{- \", \" }}\n {%- endif %}\n {%- endfor\ + \ %}\n {{- \")\" }}\n {%- if tool.return is defined %}\n \ + \ {{- \" -> \" + json_to_python_type(tool.return) }}\n {%- endif %}\n\ + \ {{- \" - \" + tool.description + \"\\n\\n\" }}\n {%- for param_name,\ + \ param_fields in tool.parameters.properties|items %}\n {%- if loop.first\ + \ %}\n {{- \" Args:\\n\" }}\n {%- endif %}\n \ + \ {{- \" \" + param_name + \"(\" + json_to_python_type(param_fields)\ + \ + \"): \" + param_fields.description|trim }}\n {%- endfor %}\n \ + \ {%- if tool.return is defined and tool.return.description is defined %}\n \ + \ {{- \"\\n Returns:\\n \" + tool.return.description }}\n\ + \ {%- endif %}\n {{- '\"' }}\n {{- ', \"parameters\": ' }}\n\ + \ {%- if tool.parameters.properties | length == 0 %}\n {{- \"\ + {}\" }}\n {%- else %}\n {{- tool.parameters|tojson }}\n \ + \ {%- endif %}\n {{- \"}\" }}\n {%- if not loop.last %}\n \ + \ {{- \"\\n\" }}\n {%- endif %}\n {%- endfor %}\n{%- endif %}\n\ + {{- \" \" }}\n{{- 'Use the following pydantic model json schema for each\ + \ tool call you will make: {\"properties\": {\"name\": {\"title\": \"Name\", \"\ + type\": \"string\"}, \"arguments\": {\"title\": \"Arguments\", \"type\": \"object\"\ + }}, \"required\": [\"name\", \"arguments\"], \"title\": \"FunctionCall\", \"type\"\ + : \"object\"}}\n' }}\n{{- \"For each function call return a json object with function\ + \ name and arguments within XML tags as follows:\n\" }}\n\ + {{- \"\n\" }}\n{{- '{\"name\": , \"arguments\": }\n\ + ' }}\n{{- '<|im_end|>' }}\n{%- for message in messages %}\n {%-\ + \ if message.role == \"user\" or message.role == \"system\" or (message.role ==\ + \ \"assistant\" and message.tool_calls is not defined) %}\n {{- '<|im_start|>'\ + \ + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n {%-\ + \ elif message.role == \"assistant\" and message.tool_calls is defined %}\n \ + \ {{- '<|im_start|>' + message.role }}\n {%- for tool_call in message.tool_calls\ + \ %}\n {{- '\\n\\n' }}\n {%- if tool_call.function\ + \ is defined %}\n {%- set tool_call = tool_call.function %}\n \ + \ {%- endif %}\n {{- '{' }}\n {{- '\"name\": \"\ + ' }}\n {{- tool_call.name }}\n {{- '\"' }}\n \ + \ {%- if tool_call.arguments is defined %}\n {{- ', ' }}\n \ + \ {{- '\"arguments\": ' }}\n {{- tool_call.arguments|tojson\ + \ }}\n {%- endif %}\n {{- '}' }}\n {{- '\\n'\ + \ }}\n {%- endfor %}\n {{- '<|im_end|>\\n' }}\n {%- elif message.role\ + \ == \"tool\" %}\n {%- if loop.previtem and loop.previtem.role != \"tool\"\ + \ %}\n {{- '<|im_start|>tool\\n' }}\n {%- endif %}\n \ + \ {{- '\\n' }}\n {{- message.content }}\n {%- if\ + \ not loop.last %}\n {{- '\\n\\n' }}\n {%- else\ + \ %}\n {{- '\\n' }}\n {%- endif %}\n \ + \ {%- if not loop.last and loop.nextitem.role != \"tool\" %}\n {{-\ + \ '<|im_end|>' }}\n {%- elif loop.last %}\n {{- '<|im_end|>'\ + \ }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt\ + \ %}\n {{- '<|im_start|>assistant\\n' }}\n{%- endif %}" + tool_chat_template_gemma4.jinja: "{%- macro format_parameters(properties, required,\ + \ filter_keys=false) -%}\n {%- set standard_keys = ['description', 'type',\ + \ 'properties', 'required', 'nullable'] -%}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in properties | dictsort -%}\n {%- set add_comma\ + \ = false -%}\n {%- if not filter_keys or key not in standard_keys -%}\n\ + \ {%- if ns.found_first %},{% endif -%}\n {%- set ns.found_first\ + \ = true -%}\n {{ key }}:{\n {%- if value['description']\ + \ -%}\n description:<|\"|>{{ value['description'] }}<|\"|>\n \ + \ {%- set add_comma = true -%}\n {%- endif -%}\n \ + \ {%- if value['type'] | upper == 'STRING' -%}\n {%- if value['enum']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n enum:{{ format_argument(value['enum'])\ + \ }}\n {%- endif -%}\n {%- elif value['type'] | upper\ + \ == 'ARRAY' -%}\n {%- if value['items'] is mapping and value['items']\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n items:{\n {%-\ + \ set ns_items = namespace(found_first=false) -%}\n {%- for\ + \ item_key, item_value in value['items'] | dictsort -%}\n \ + \ {%- if item_value is not none -%}\n {%- if ns_items.found_first\ + \ %},{% endif -%}\n {%- set ns_items.found_first =\ + \ true -%}\n {%- if item_key == 'properties' -%}\n\ + \ properties:{\n \ + \ {%- if item_value is mapping -%}\n {{- format_parameters(item_value,\ + \ value['items']['required'] | default([])) -}}\n \ + \ {%- endif -%}\n }\n \ + \ {%- elif item_key == 'required' -%}\n required:[\n\ + \ {%- for req_item in item_value -%}\n \ + \ <|\"|>{{- req_item -}}<|\"|>\n \ + \ {%- if not loop.last %},{% endif -%}\n \ + \ {%- endfor -%}\n ]\n \ + \ {%- elif item_key == 'type' -%}\n \ + \ {%- if item_value is string -%}\n type:{{\ + \ format_argument(item_value | upper) }}\n {%-\ + \ else -%}\n type:{{ format_argument(item_value\ + \ | map('upper') | list) }}\n {%- endif -%}\n \ + \ {%- else -%}\n {{ item_key\ + \ }}:{{ format_argument(item_value) }}\n {%- endif\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n\ + \ }\n {%- endif -%}\n {%- endif -%}\n\ + \ {%- if value['nullable'] %}\n {%- if add_comma %},{%-\ + \ else -%} {%- set add_comma = true -%} {% endif -%}\n nullable:true\n\ + \ {%- endif -%}\n {%- if value['type'] | upper == 'OBJECT'\ + \ -%}\n {%- if value['properties'] is defined and value['properties']\ + \ is mapping -%}\n {%- if add_comma %},{%- else -%} {%- set\ + \ add_comma = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value['properties'], value['required'] |\ + \ default([])) -}}\n }\n {%- elif value is mapping\ + \ -%}\n {%- if add_comma %},{%- else -%} {%- set add_comma\ + \ = true -%} {% endif -%}\n properties:{\n \ + \ {{- format_parameters(value, value['required'] | default([]), filter_keys=true)\ + \ -}}\n }\n {%- endif -%}\n {%-\ + \ if value['required'] -%}\n {%- if add_comma %},{%- else -%}\ + \ {%- set add_comma = true -%} {% endif -%}\n required:[\n\ + \ {%- for item in value['required'] | default([]) -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {%- if\ + \ not loop.last %},{% endif -%}\n {%- endfor -%}\n \ + \ ]\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- if add_comma %},{%- else -%} {%- set add_comma = true -%} {% endif\ + \ -%}\n type:<|\"|>{{ value['type'] | upper }}<|\"|>}\n {%-\ + \ endif -%}\n {%- endfor -%}\n{%- endmacro -%}\n{%- macro format_function_declaration(tool_data)\ + \ -%}\n declaration:{{- tool_data['function']['name'] -}}{description:<|\"\ + |>{{- tool_data['function']['description'] -}}<|\"|>\n {%- set params = tool_data['function']['parameters']\ + \ -%}\n {%- if params -%}\n ,parameters:{\n {%- if params['properties']\ + \ -%}\n properties:{ {{- format_parameters(params['properties'], params['required'])\ + \ -}} },\n {%- endif -%}\n {%- if params['required'] -%}\n \ + \ required:[\n {%- for item in params['required'] -%}\n \ + \ <|\"|>{{- item -}}<|\"|>\n {{- ',' if not loop.last\ + \ -}}\n {%- endfor -%}\n ],\n {%- endif -%}\n \ + \ {%- if params['type'] -%}\n type:<|\"|>{{- params['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n {%- if 'response'\ + \ in tool_data['function'] -%}\n {%- set response_declaration = tool_data['function']['response']\ + \ -%}\n ,response:{\n {%- if response_declaration['description']\ + \ -%}\n description:<|\"|>{{- response_declaration['description'] -}}<|\"\ + |>,\n {%- endif -%}\n {%- if response_declaration['type'] | upper\ + \ == 'OBJECT' -%}\n type:<|\"|>{{- response_declaration['type'] | upper\ + \ -}}<|\"|>}\n {%- endif -%}\n {%- endif -%}\n }\n{%- endmacro -%}\n\ + {%- macro format_argument(argument, escape_keys=True) -%}\n {%- if argument\ + \ is none -%}\n {{- 'null' -}}\n {%- elif argument is string -%}\n \ + \ {{- '<|\"|>' + argument + '<|\"|>' -}}\n {%- elif argument is boolean\ + \ -%}\n {{- 'true' if argument else 'false' -}}\n {%- elif argument\ + \ is mapping -%}\n {{- '{' -}}\n {%- set ns = namespace(found_first=false)\ + \ -%}\n {%- for key, value in argument | dictsort -%}\n {%-\ + \ if ns.found_first %},{% endif -%}\n {%- set ns.found_first = true\ + \ -%}\n {%- if escape_keys -%}\n {{- '<|\"|>' + key\ + \ + '<|\"|>' -}}\n {%- else -%}\n {{- key -}}\n \ + \ {%- endif -%}\n :{{- format_argument(value, escape_keys=escape_keys)\ + \ -}}\n {%- endfor -%}\n {{- '}' -}}\n {%- elif argument is sequence\ + \ -%}\n {{- '[' -}}\n {%- for item in argument -%}\n \ + \ {{- format_argument(item, escape_keys=escape_keys) -}}\n {%- if not\ + \ loop.last %},{% endif -%}\n {%- endfor -%}\n {{- ']' -}}\n \ + \ {%- else -%}\n {{- argument -}}\n {%- endif -%}\n{%- endmacro -%}\n\ + {%- macro strip_thinking(text) -%}\n {%- set ns = namespace(result='') -%}\n\ + \ {%- for part in text.split('') -%}\n {%- if '<|channel>'\ + \ in part -%}\n {%- set ns.result = ns.result + part.split('<|channel>')[0]\ + \ -%}\n {%- else -%}\n {%- set ns.result = ns.result + part\ + \ -%}\n {%- endif -%}\n {%- endfor -%}\n {{- ns.result | trim -}}\n\ + {%- endmacro -%}\n\n{%- macro format_tool_response_block(tool_name, response)\ + \ -%}\n {{- '<|tool_response>' -}}\n {%- if response is mapping -%}\n \ + \ {{- 'response:' + tool_name + '{' -}}\n {%- for key, value in response\ + \ | dictsort -%}\n {{- key -}}:{{- format_argument(value, escape_keys=False)\ + \ -}}\n {%- if not loop.last %},{% endif -%}\n {%- endfor -%}\n\ + \ {{- '}' -}}\n {%- else -%}\n {{- 'response:' + tool_name +\ + \ '{value:' + format_argument(response, escape_keys=False) + '}' -}}\n {%-\ + \ endif -%}\n {{- '' -}}\n{%- endmacro -%}\n\n{#- ===== SETUP\ + \ ===== -#}\n{%- set ns = namespace(prev_message_type=None, prev_non_tool_role=None)\ + \ -%}\n{%- set loop_messages = messages -%}\n{%- set enable_thinking = enable_thinking\ + \ | default(false) -%}\n{%- set preserve_thinking = preserve_thinking | default(false)\ + \ -%}\n{{- bos_token -}}\n{#- Handle System/Tool Definitions Block -#}\n{%- if\ + \ enable_thinking or tools or (messages and messages[0]['role'] in ['system',\ + \ 'developer']) -%}\n {{- '<|turn>system\\n' -}}\n {#- Inject Thinking token\ + \ at the very top of the FIRST system turn -#}\n {%- if enable_thinking -%}\n\ + \ {{- '<|think|>\\n' -}}\n {%- set ns.prev_message_type = 'think'\ + \ -%}\n {%- endif -%}\n {%- if messages and messages[0]['role'] in ['system',\ + \ 'developer'] -%}\n {%- if messages[0]['content'] is string -%}\n \ + \ {{- messages[0]['content'] | trim -}}\n {%- elif messages[0]['content']\ + \ is sequence -%}\n {%- for item in messages[0]['content'] -%}\n \ + \ {{- item['text'] | trim + ' '-}}\n {%- endfor -%}\n\ + \ {%- endif -%}\n {%- set loop_messages = messages[1:] -%}\n \ + \ {%- endif -%}\n {%- if tools -%}\n {%- for tool in tools %}\n \ + \ {{- '<|tool>' -}}\n {{- format_function_declaration(tool)\ + \ | trim -}}\n {{- '' -}}\n {%- endfor %}\n {%-\ + \ set ns.prev_message_type = 'tool' -%}\n {%- endif -%}\n {{- '\\\ + n' -}}\n{%- endif %}\n\n{#- Pre-scan: find last user message index for reasoning\ + \ guard -#}\n{%- set ns_turn = namespace(last_user_idx=-1) -%}\n{%- for i in range(loop_messages\ + \ | length) -%}\n {%- if loop_messages[i]['role'] == 'user' -%}\n {%-\ + \ set ns_turn.last_user_idx = i -%}\n {%- endif -%}\n{%- endfor -%}\n\n{#-\ + \ Loop through messages -#}\n{%- for message in loop_messages -%}\n {%- if\ + \ message['role'] != 'tool' -%}\n {%- set ns.prev_message_type = None -%}\n\ + \ {%- set role = 'model' if message['role'] == 'assistant' else message['role']\ + \ -%}\n {#- Detect continuation using tracked state \u2014 O(1) instead of\ + \ O(n) backward scan -#}\n {%- set continue_same_model_turn = (role == 'model'\ + \ and ns.prev_non_tool_role == 'assistant') -%}\n {%- if not continue_same_model_turn\ + \ -%}\n {{- '<|turn>' + role + '\\n' }}\n {%- if role == 'model'\ + \ and not enable_thinking and not (message.get('reasoning') or message.get('reasoning_content'))\ + \ -%}\n {{- '<|channel>thought\\n' -}}\n {%- endif\ + \ -%}\n {%- endif -%}\n\n {#- Render reasoning/reasoning_content as thinking\ + \ channel -#}\n {%- set thinking_text = message.get('reasoning') or message.get('reasoning_content')\ + \ -%}\n {%- set thinking_gate = (loop.index0 > ns_turn.last_user_idx) or preserve_thinking\ + \ -%}\n {%- if thinking_text and thinking_gate -%}\n {{- '<|channel>thought\\\ + n' + thinking_text + '\\n' -}}\n {%- endif -%}\n\n {%-\ + \ if message.get('tool_calls') -%}\n {%- for tool_call in message.get('tool_calls')\ + \ -%}\n {%- set function = tool_call['function'] -%}\n \ + \ {{- '<|tool_call>call:' + function['name'] + '{' -}}\n \ + \ {%- if function['arguments'] is mapping -%}\n \ + \ {%- set ns_args = namespace(found_first=false) -%}\n \ + \ {%- for key, value in function['arguments'] | dictsort -%}\n \ + \ {%- if ns_args.found_first %},{% endif -%}\n \ + \ {%- set ns_args.found_first = true -%}\n \ + \ {{- key -}}:{{- format_argument(value, escape_keys=False) -}}\n \ + \ {%- endfor -%}\n {%- elif function['arguments']\ + \ is none -%}\n {%- else -%}\n {{- raise_exception(\n\ + \ \"chat_template: tool_calls[].function.arguments\ + \ must be a \"\n \"JSON object (mapping), not a string.\ + \ Deserialize arguments \"\n \"before passing to the\ + \ template.\"\n ) -}}\n {%- endif -%}\n\ + \ {{- '}' -}}\n {%- endfor -%}\n\ + \ {%- set ns.prev_message_type = 'tool_call' -%}\n {%-\ + \ endif -%}\n\n {%- set ns_tr_out = namespace(flag=false) -%}\n \ + \ {%- if message.get('tool_responses') -%}\n {#- Legacy:\ + \ tool_responses embedded on the assistant message (Google/Gemma native) -#}\n\ + \ {%- for tool_response in message.get('tool_responses') -%}\n\ + \ {{- format_tool_response_block(tool_response['name'] | default('unknown',\ + \ true), tool_response['response']) -}}\n {%- set ns_tr_out.flag\ + \ = true -%}\n {%- set ns.prev_message_type = 'tool_response'\ + \ -%}\n {%- endfor -%}\n {%- elif message.get('tool_calls')\ + \ -%}\n {#- OpenAI Chat Completions: forward-scan consecutive role:tool\ + \ messages -#}\n {%- set ns_tool_scan = namespace(stopped=false)\ + \ -%}\n {%- for k in range(loop.index0 + 1, loop_messages | length)\ + \ -%}\n {%- if ns_tool_scan.stopped -%}\n \ + \ {%- elif loop_messages[k]['role'] != 'tool' -%}\n {%-\ + \ set ns_tool_scan.stopped = true -%}\n {%- else -%}\n \ + \ {%- set follow = loop_messages[k] -%}\n \ + \ {#- Resolve tool_call_id to function name -#}\n \ + \ {%- set ns_tname = namespace(name=follow.get('name') or 'unknown') -%}\n \ + \ {%- for tc in message.get('tool_calls') -%}\n \ + \ {%- if tc.get('id') == follow.get('tool_call_id') -%}\n \ + \ {%- set ns_tname.name = tc['function']['name']\ + \ -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {#- Handle content as string or content-parts\ + \ array -#}\n {%- set tool_body = follow.get('content')\ + \ -%}\n {%- if tool_body is string -%}\n \ + \ {{- format_tool_response_block(ns_tname.name, tool_body) -}}\n\ + \ {%- elif tool_body is sequence and tool_body is not string\ + \ -%}\n {%- set ns_txt = namespace(s='') -%}\n \ + \ {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') == 'text' -%}\n \ + \ {%- set ns_txt.s = ns_txt.s + (part.get('text') | default('')) -%}\n\ + \ {%- endif -%}\n {%-\ + \ endfor -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ ns_txt.s) -}}\n {%- for part in tool_body -%}\n \ + \ {%- if part.get('type') in ['image', 'image_url']\ + \ -%}\n {{- '<|image|>' -}}\n \ + \ {%- elif part.get('type') in ['audio', 'input_audio'] -%}\n\ + \ {{- '<|audio|>' -}}\n \ + \ {%- elif part.get('type') == 'video' -%}\n \ + \ {{- '<|video|>' -}}\n {%- endif\ + \ -%}\n {%- endfor -%}\n {%-\ + \ else -%}\n {{- format_tool_response_block(ns_tname.name,\ + \ tool_body) -}}\n {%- endif -%}\n \ + \ {%- set ns_tr_out.flag = true -%}\n {%- set ns.prev_message_type\ + \ = 'tool_response' -%}\n {%- endif -%}\n {%-\ + \ endfor -%}\n {%- endif -%}\n\n {%- set captured_content\ + \ -%}\n {%- if message.get('content') is string -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(message['content'])\ + \ -}}\n {%- else -%}\n {{- message['content']\ + \ | trim -}}\n {%- endif -%}\n {%- elif message.get('content')\ + \ is sequence -%}\n {%- for item in message['content'] -%}\n \ + \ {%- if item.get('type') == 'text' -%}\n \ + \ {%- if role == 'model' -%}\n {{- strip_thinking(item['text'])\ + \ -}}\n {%- else -%}\n {{- item['text']\ + \ | trim -}}\n {%- endif -%}\n {%- elif\ + \ item.get('type') in ['image', 'image_url'] -%}\n {{-\ + \ '<|image|>' -}}\n {%- elif item.get('type') in ['audio',\ + \ 'input_audio'] -%}\n {{- '<|audio|>' -}}\n \ + \ {%- elif item.get('type') == 'video' -%}\n {{-\ + \ '<|video|>' -}}\n {%- endif -%}\n {%- endfor\ + \ -%}\n {%- endif -%}\n {%- endset -%}\n\n {{-\ + \ captured_content -}}\n {%- set has_content = captured_content | trim\ + \ | length > 0 -%}\n\n {#- Forward-scan: find next non-tool message role\ + \ for continuation detection -#}\n {%- set next_nt = namespace(role=None,\ + \ found=false) -%}\n {%- for j in range(loop.index0 + 1, loop_messages\ + \ | length) -%}\n {%- if not next_nt.found -%}\n {%-\ + \ if loop_messages[j]['role'] != 'tool' -%}\n {%- set next_nt.role\ + \ = loop_messages[j]['role'] -%}\n {%- set next_nt.found =\ + \ true -%}\n {%- endif -%}\n {%- endif -%}\n \ + \ {%- endfor -%}\n\n {%- set continues_into_next = (\n role\ + \ == 'model'\n and next_nt.role == 'assistant'\n and (not\ + \ message.get('tool_calls') or ns_tr_out.flag)\n ) -%}\n\n {%- if\ + \ ns.prev_message_type == 'tool_call' and not ns_tr_out.flag -%}\n \ + \ {{- '<|tool_response>' -}}\n {%- elif continues_into_next -%}\n \ + \ {{- '\\n' -}}\n {%- elif not (ns_tr_out.flag and not has_content)\ + \ -%}\n {{- '\\n' -}}\n {%- endif -%}\n\n {#- Track\ + \ previous non-tool role for next iteration (avoids O(n) backward scan) -#}\n\ + \ {%- set ns.prev_non_tool_role = message['role'] -%}\n {%- endif -%}\n\ + {%- endfor -%}\n\n{%- if add_generation_prompt -%}\n {%- if ns.prev_message_type\ + \ != 'tool_response' and ns.prev_message_type != 'tool_call' -%}\n {{-\ + \ '<|turn>model\\n' -}}\n {%- if not enable_thinking -%}\n {{-\ + \ '<|channel>thought\\n' -}}\n {%- endif -%}\n {%- elif ns.prev_message_type\ + \ == 'tool_response' and enable_thinking -%}\n {{- '<|channel>thought\\\ + n' -}}\n {%- endif -%}\n{%- endif -%}" +--- +apiVersion: v1 +kind: ConfigMap +metadata: + name: vq-config + namespace: h54 + labels: + app: vq +data: + http_proxy: '' + https_proxy: '' + no_proxy: '' + TORCHINDUCTOR_CACHE_DIR: /tmp + NUMBA_CACHE_DIR: /tmp + HF_HOME: /data + OUTLINES_CACHE_DIR: /tmp/.cache/outlines + VLLM_NO_USAGE_STATS: '1' + DO_NOT_TRACK: '1' + TRITON_CACHE_DIR: /tmp/.triton + USER: vllm + VLLM_ALLOW_LONG_MAX_MODEL_LEN: '1' + VLLM_CPU_KVCACHE_SPACE: '40' + VLLM_ENGINE_ITERATION_TIMEOUT_S: '120' + VLLM_RPC_TIMEOUT: '100000' + HF_HUB_OFFLINE: '1' + VLLM_CPU_OMP_THREADS_BIND: 0-47 +--- +apiVersion: v1 +kind: Service +metadata: + name: vq + namespace: h54 + labels: + app: vq +spec: + type: ClusterIP + ports: + - name: http + port: 2080 + targetPort: 2080 + protocol: TCP + selector: + app: vq +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: vq + namespace: h54 + labels: + app: vq +spec: + selector: + matchLabels: + app: vq + template: + metadata: + labels: + app: vq + spec: + hostIPC: true + securityContext: null + containers: + - name: vllm + envFrom: + - configMapRef: + name: vq-config + securityContext: + allowPrivilegeEscalation: false + capabilities: + add: + - SYS_NICE + drop: + - ALL + readOnlyRootFilesystem: true + runAsNonRoot: true + runAsUser: 1001 + seccompProfile: + type: RuntimeDefault + image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + imagePullPolicy: IfNotPresent + args: + - --block-size + - '128' + - --dtype + - bfloat16 + - --distributed_executor_backend + - mp + - --enable_chunked_prefill + - --enforce-eager + - --enable-prefix-caching + - --enable-auto-tool-choice + - --tool-call-parser + - gemma4 + - --chat-template + - /workspace/vllm/examples/tool_chat_template_gemma4.jinja + - --tensor-parallel-size + - '1' + - --pipeline-parallel-size + - '1' + - --model + - /data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized + - --served-model-name + - google/gemma-4-26B-A4B-it + - --port + - '2080' + - --max-model-len + - '8192' + - --attention-backend + - CPU_ATTN + volumeMounts: + - mountPath: /data + name: model-volume + - mountPath: /dev/shm + name: shm + - mountPath: /tmp + name: tmp + - mountPath: /root/.cache/vllm + name: vllm-cache + - mountPath: /workspace/vllm/examples + name: chat-templates + ports: + - name: http + containerPort: 2080 + protocol: TCP + readinessProbe: + failureThreshold: 200 + httpGet: + path: /health + port: http + initialDelaySeconds: 10 + periodSeconds: 5 + volumes: + - name: model-volume + hostPath: + path: /var/apb-models + type: Directory + - name: shm + emptyDir: + medium: Memory + sizeLimit: 1Gi + - name: tmp + emptyDir: {} + - name: vllm-cache + emptyDir: {} + - name: chat-templates + configMap: + name: vq-chat-templates + affinity: + nodeAffinity: + requiredDuringSchedulingIgnoredDuringExecution: + nodeSelectorTerms: + - matchExpressions: + - key: ei-inference-eligible + operator: In + values: + - 'true' + terminationGracePeriodSeconds: 120 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/describe.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/describe.txt new file mode 100644 index 00000000..05f92c86 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/describe.txt @@ -0,0 +1,113 @@ +Name: vq-7c45b79c77-td4b8 +Namespace: h54 +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-g-h54smokeq-1-server-0/172.19.0.2 +Start Time: Thu, 29 Oct 2026 19:41:25 +0000 +Labels: app=vq + pod-template-hash=7c45b79c77 +Annotations: +Status: Running +IP: 10.42.0.9 +IPs: + IP: 10.42.0.9 +Controlled By: ReplicaSet/vq-7c45b79c77 +Containers: + vllm: + Container ID: containerd://b69858f5f6c97450dcee39bf60fac96a7aaac13aa633058a43ce93b069a8e0ca + Image: vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Image ID: docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 + Port: 2080/TCP (http) + Host Port: 0/TCP (http) + SeccompProfile: RuntimeDefault + Args: + --block-size + 128 + --dtype + bfloat16 + --distributed_executor_backend + mp + --enable_chunked_prefill + --enforce-eager + --enable-prefix-caching + --enable-auto-tool-choice + --tool-call-parser + gemma4 + --chat-template + /workspace/vllm/examples/tool_chat_template_gemma4.jinja + --tensor-parallel-size + 1 + --pipeline-parallel-size + 1 + --model + /data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized + --served-model-name + google/gemma-4-26B-A4B-it + --port + 2080 + --max-model-len + 8192 + --attention-backend + CPU_ATTN + State: Running + Started: Thu, 29 Oct 2026 19:42:16 +0000 + Ready: True + Restart Count: 0 + Readiness: http-get http://:http/health delay=10s timeout=1s period=5s #success=1 #failure=200 + Environment Variables from: + vq-config ConfigMap Optional: false + Environment: + Mounts: + /data from model-volume (rw) + /dev/shm from shm (rw) + /root/.cache/vllm from vllm-cache (rw) + /tmp from tmp (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-zlmpv (ro) + /workspace/vllm/examples from chat-templates (rw) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + model-volume: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + shm: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: Memory + SizeLimit: 1Gi + tmp: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + vllm-cache: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + chat-templates: + Type: ConfigMap (a volume populated by a ConfigMap) + Name: vq-chat-templates + Optional: false + kube-api-access-zlmpv: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: BestEffort +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 2m2s default-scheduler Successfully assigned h54/vq-7c45b79c77-td4b8 to k3d-k3dgpu-g-h54smokeq-1-server-0 + Normal Pulling 2m2s kubelet spec.containers{vllm}: Pulling image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" + Normal Pulled 72s kubelet spec.containers{vllm}: Successfully pulled image "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05" in 50.102s (50.102s including waiting). Image size: 1719072416 bytes. + Normal Created 72s kubelet spec.containers{vllm}: Container created + Normal Started 71s kubelet spec.containers{vllm}: Container started + Warning Unhealthy 21s (x9 over 61s) kubelet spec.containers{vllm}: Readiness probe failed: Get "http://10.42.0.9:2080/health": dial tcp 10.42.0.9:2080: connect: connection refused diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/hello.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/hello.json new file mode 100644 index 00000000..c3302b87 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/hello.json @@ -0,0 +1 @@ +{"id":"chatcmpl-b89396d9d3a40107","object":"chat.completion","created":1793302989,"model":"google/gemma-4-26B-A4B-it","choices":[{"index":0,"message":{"role":"assistant","content":"Hello! How can I help you today?","refusal":null,"annotations":null,"audio":null,"function_call":null,"reasoning":null},"logprobs":null,"finish_reason":"stop","stop_reason":106,"token_ids":null,"routed_experts":null}],"service_tier":null,"system_fingerprint":"vllm-0.32.0-9518c65e","usage":{"prompt_tokens":16,"total_tokens":26,"completion_tokens":10,"prompt_tokens_details":null,"completion_tokens_details":null},"prompt_logprobs":null,"prompt_token_ids":null,"prompt_text":null,"kv_transfer_params":null,"ec_transfer_params":null,"metrics":null} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/image.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/image.txt new file mode 100644 index 00000000..60f9b60d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/image.txt @@ -0,0 +1 @@ +vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05 \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/isa.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/isa.txt new file mode 100644 index 00000000..7b8dec53 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/isa.txt @@ -0,0 +1,2 @@ +96 +96 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/models.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/models.json new file mode 100644 index 00000000..d794679d --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/models.json @@ -0,0 +1 @@ +{"object":"list","data":[{"id":"google/gemma-4-26B-A4B-it","object":"model","created":1793302989,"owned_by":"vllm","root":"/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized","parent":null,"max_model_len":8192,"permission":[{"id":"modelperm-af46fdb5f38f9bb8","object":"model_permission","created":1793302989,"allow_create_engine":false,"allow_sampling":true,"allow_logprobs":true,"allow_search_indices":false,"allow_view":true,"allow_fine_tuning":false,"organization":"*","group":null,"is_blocking":false}]}]} \ No newline at end of file diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pf.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pf.log new file mode 100644 index 00000000..42492cc1 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pf.log @@ -0,0 +1,30 @@ +Forwarding from 127.0.0.1:18978 -> 2080 +Forwarding from [::1]:18978 -> 2080 +Handling connection for 18978 +E1029 19:42:29.065627 1463016 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18978 -> 2080: error forwarding port 2080 to pod a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-f3417022-15d4-7629-44e4-c8e2609932ba\": failed to connect to localhost:2080 inside namespace \"a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:42:29Z +Forwarding from 127.0.0.1:18978 -> 2080 +Forwarding from [::1]:18978 -> 2080 +Handling connection for 18978 +E1029 19:42:39.082215 1463289 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18978 -> 2080: error forwarding port 2080 to pod a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-f3417022-15d4-7629-44e4-c8e2609932ba\": failed to connect to localhost:2080 inside namespace \"a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:42:39Z +Forwarding from 127.0.0.1:18978 -> 2080 +Forwarding from [::1]:18978 -> 2080 +Handling connection for 18978 +E1029 19:42:49.097680 1463642 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18978 -> 2080: error forwarding port 2080 to pod a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-f3417022-15d4-7629-44e4-c8e2609932ba\": failed to connect to localhost:2080 inside namespace \"a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:42:49Z +Forwarding from 127.0.0.1:18978 -> 2080 +Forwarding from [::1]:18978 -> 2080 +Handling connection for 18978 +E1029 19:42:59.113457 1463851 portforward.go:424] "Unhandled Error" err="an error occurred forwarding 18978 -> 2080: error forwarding port 2080 to pod a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d, uid : failed to execute portforward in network namespace \"/var/run/netns/cni-f3417022-15d4-7629-44e4-c8e2609932ba\": failed to connect to localhost:2080 inside namespace \"a7dc4260e15d4fcb10ef2b0c55471043194da2a5c3e8de0bcb7e67f74bc0b14d\", IPv4: dial tcp4 127.0.0.1:2080: connect: connection refused IPv6 dial tcp6 [::1]:2080: connect: connection refused " +error: lost connection to pod +port-forward exited 2026-10-29T19:42:59Z +Forwarding from 127.0.0.1:18978 -> 2080 +Forwarding from [::1]:18978 -> 2080 +Handling connection for 18978 +Handling connection for 18978 +Handling connection for 18978 +Handling connection for 18978 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/phases.jsonl b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/phases.jsonl new file mode 100644 index 00000000..9f06a786 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/phases.jsonl @@ -0,0 +1 @@ +{"phase": "items", "t0": 1793303000.114957175, "t1": 1793303007.710875258, "check": {"void": false, "reason": "non-campaign CPU 3.89 CPU-s/s"}} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pod.json b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pod.json new file mode 100644 index 00000000..05d915c9 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pod.json @@ -0,0 +1,364 @@ +{ + "apiVersion": "v1", + "kind": "Pod", + "metadata": { + "creationTimestamp": "2026-10-29T19:41:25Z", + "generateName": "vq-7c45b79c77-", + "generation": 1, + "labels": { + "app": "vq", + "pod-template-hash": "7c45b79c77" + }, + "name": "vq-7c45b79c77-td4b8", + "namespace": "h54", + "ownerReferences": [ + { + "apiVersion": "apps/v1", + "blockOwnerDeletion": true, + "controller": true, + "kind": "ReplicaSet", + "name": "vq-7c45b79c77", + "uid": "50db6b9c-4807-4ba2-b745-ddc0673c1102" + } + ], + "resourceVersion": "843", + "uid": "111db6d1-0eb9-43a0-8400-39dcfd5196da" + }, + "spec": { + "affinity": { + "nodeAffinity": { + "requiredDuringSchedulingIgnoredDuringExecution": { + "nodeSelectorTerms": [ + { + "matchExpressions": [ + { + "key": "ei-inference-eligible", + "operator": "In", + "values": [ + "true" + ] + } + ] + } + ] + } + } + }, + "containers": [ + { + "args": [ + "--block-size", + "128", + "--dtype", + "bfloat16", + "--distributed_executor_backend", + "mp", + "--enable_chunked_prefill", + "--enforce-eager", + "--enable-prefix-caching", + "--enable-auto-tool-choice", + "--tool-call-parser", + "gemma4", + "--chat-template", + "/workspace/vllm/examples/tool_chat_template_gemma4.jinja", + "--tensor-parallel-size", + "1", + "--pipeline-parallel-size", + "1", + "--model", + "/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized", + "--served-model-name", + "google/gemma-4-26B-A4B-it", + "--port", + "2080", + "--max-model-len", + "8192", + "--attention-backend", + "CPU_ATTN" + ], + "envFrom": [ + { + "configMapRef": { + "name": "vq-config" + } + } + ], + "image": "vllm/vllm-openai-cpu:v0.32.0@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05", + "imagePullPolicy": "IfNotPresent", + "name": "vllm", + "ports": [ + { + "containerPort": 2080, + "name": "http", + "protocol": "TCP" + } + ], + "readinessProbe": { + "failureThreshold": 200, + "httpGet": { + "path": "/health", + "port": "http", + "scheme": "HTTP" + }, + "initialDelaySeconds": 10, + "periodSeconds": 5, + "successThreshold": 1, + "timeoutSeconds": 1 + }, + "resources": {}, + "securityContext": { + "allowPrivilegeEscalation": false, + "capabilities": { + "add": [ + "SYS_NICE" + ], + "drop": [ + "ALL" + ] + }, + "readOnlyRootFilesystem": true, + "runAsNonRoot": true, + "runAsUser": 1001, + "seccompProfile": { + "type": "RuntimeDefault" + } + }, + "terminationMessagePath": "/dev/termination-log", + "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/data", + "name": "model-volume" + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/tmp", + "name": "tmp" + }, + { + "mountPath": "/root/.cache/vllm", + "name": "vllm-cache" + }, + { + "mountPath": "/workspace/vllm/examples", + "name": "chat-templates" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-zlmpv", + "readOnly": true + } + ] + } + ], + "dnsPolicy": "ClusterFirst", + "enableServiceLinks": true, + "hostIPC": true, + "nodeName": "k3d-k3dgpu-g-h54smokeq-1-server-0", + "preemptionPolicy": "PreemptLowerPriority", + "priority": 0, + "restartPolicy": "Always", + "schedulerName": "default-scheduler", + "securityContext": {}, + "serviceAccount": "default", + "serviceAccountName": "default", + "terminationGracePeriodSeconds": 120, + "tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "model-volume" + }, + { + "emptyDir": { + "medium": "Memory", + "sizeLimit": "1Gi" + }, + "name": "shm" + }, + { + "emptyDir": {}, + "name": "tmp" + }, + { + "emptyDir": {}, + "name": "vllm-cache" + }, + { + "configMap": { + "defaultMode": 420, + "name": "vq-chat-templates" + }, + "name": "chat-templates" + }, + { + "name": "kube-api-access-zlmpv", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:41:25Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:41:25Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:11Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:11Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:41:25Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "containerID": "containerd://b69858f5f6c97450dcee39bf60fac96a7aaac13aa633058a43ce93b069a8e0ca", + "image": "sha256:52d115f063d1ca744189d978bb8671e5c4d00b9ba0269351efb6dcb660f3a56b", + "imageID": "docker.io/vllm/vllm-openai-cpu@sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05", + "lastState": {}, + "name": "vllm", + "ready": true, + "resources": {}, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:42:16Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 1001 + } + }, + "volumeMounts": [ + { + "mountPath": "/data", + "name": "model-volume" + }, + { + "mountPath": "/dev/shm", + "name": "shm" + }, + { + "mountPath": "/tmp", + "name": "tmp" + }, + { + "mountPath": "/root/.cache/vllm", + "name": "vllm-cache" + }, + { + "mountPath": "/workspace/vllm/examples", + "name": "chat-templates" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-zlmpv", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.19.0.2", + "hostIPs": [ + { + "ip": "172.19.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.9", + "podIPs": [ + { + "ip": "10.42.0.9" + } + ], + "qosClass": "BestEffort", + "resources": {}, + "startTime": "2026-10-29T19:41:25Z" + } +} diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pods.txt b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pods.txt new file mode 100644 index 00000000..9d467321 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/pods.txt @@ -0,0 +1,9 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h54 vq-7c45b79c77-td4b8 1/1 Running 0 114s 10.42.0.9 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system coredns-577d995dff-zfwv6 1/1 Running 0 2m12s 10.42.0.4 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system helm-install-gateway-api-crd-k27dk 0/1 Completed 0 2m12s 10.42.0.7 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system local-path-provisioner-6858d854cf-fx6g2 1/1 Running 0 2m12s 10.42.0.5 k3d-k3dgpu-g-h54smokeq-1-server-0 +kube-system metrics-server-778c4649b4-skfpw 1/1 Running 0 2m12s 10.42.0.8 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-5cnqq 1/1 Running 0 2m12s 10.42.0.2 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-n95f5 1/1 Running 0 2m12s 10.42.0.3 k3d-k3dgpu-g-h54smokeq-1-server-0 +node-feature-discovery nfd-worker-4jjcc 1/1 Running 0 2m12s 10.42.0.6 k3d-k3dgpu-g-h54smokeq-1-server-0 diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/server.log b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/server.log new file mode 100644 index 00000000..533020f2 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/R/server.log @@ -0,0 +1,137 @@ +With `vllm serve`, you should provide the model as a positional argument or in a config file instead of via the `--model` option. The `--model` option will be removed in a future version. +(APIServer pid=1) INFO 10-29 19:42:22 [api_utils.py:347] +(APIServer pid=1) INFO 10-29 19:42:22 [api_utils.py:347] █ █ █▄ ▄█ +(APIServer pid=1) INFO 10-29 19:42:22 [api_utils.py:347] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.32.0 +(APIServer pid=1) INFO 10-29 19:42:22 [api_utils.py:347] █▄█▀ █ █ █ █ model /data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized +(APIServer pid=1) INFO 10-29 19:42:22 [api_utils.py:347] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀ +(APIServer pid=1) INFO 10-29 19:42:22 [api_utils.py:347] +(APIServer pid=1) INFO 10-29 19:42:22 [api_utils.py:286] non-default args: {'model_tag': '/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'chat_template': '/workspace/vllm/examples/tool_chat_template_gemma4.jinja', 'enable_auto_tool_choice': True, 'tool_call_parser': 'gemma4', 'port': 2080, 'model': '/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized', 'dtype': 'bfloat16', 'max_model_len': 8192, 'enforce_eager': True, 'served_model_name': ['google/gemma-4-26B-A4B-it'], 'attention_backend': 'CPU_ATTN', 'distributed_executor_backend': 'mp', 'block_size': 128, 'enable_prefix_caching': True, 'enable_chunked_prefill': True} +(APIServer pid=1) WARNING 10-29 19:42:22 [interface.py:1457] Unknown vLLM environment variable detected: VLLM_RPC_TIMEOUT +(APIServer pid=1) WARNING 10-29 19:42:22 [interface.py:1457] Unknown vLLM environment variable detected: VLLM_ENGINE_ITERATION_TIMEOUT_S +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] Error saving model info cache. +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] Traceback (most recent call last): +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] File "/opt/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/pathlib.py", line 1311, in mkdir +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] os.mkdir(self, mode) +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] FileNotFoundError: [Errno 2] No such file or directory: '/.cache/vllm/modelinfos' +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] During handling of the above exception, another exception occurred: +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] Traceback (most recent call last): +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] File "/opt/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/pathlib.py", line 1311, in mkdir +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] os.mkdir(self, mode) +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] FileNotFoundError: [Errno 2] No such file or directory: '/.cache/vllm' +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] During handling of the above exception, another exception occurred: +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] Traceback (most recent call last): +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] File "/opt/venv/lib/python3.12/site-packages/vllm/model_executor/models/registry.py", line 1036, in _save_modelinfo_to_cache +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] cache_dir.mkdir(parents=True, exist_ok=True) +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] File "/opt/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/pathlib.py", line 1315, in mkdir +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] self.parent.mkdir(parents=True, exist_ok=True) +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] File "/opt/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/pathlib.py", line 1315, in mkdir +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] self.parent.mkdir(parents=True, exist_ok=True) +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] File "/opt/uv/python/cpython-3.12.15-linux-x86_64-gnu/lib/python3.12/pathlib.py", line 1311, in mkdir +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] os.mkdir(self, mode) +(APIServer pid=1) ERROR 10-29 19:42:28 [registry.py:1041] OSError: [Errno 30] Read-only file system: '/.cache' +(APIServer pid=1) INFO 10-29 19:42:28 [model.py:733] Resolved architecture: Gemma4ForConditionalGeneration +(APIServer pid=1) INFO 10-29 19:42:28 [model.py:2152] Using max model len 8192 +(APIServer pid=1) INFO 10-29 19:42:30 [arg_utils.py:3154] Raising max_num_batched_tokens from 2048 to 2496 to accommodate 'video' input for prefix-LM model /data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized. +(APIServer pid=1) INFO 10-29 19:42:30 [scheduler.py:307] Chunked prefill is enabled with max_num_batched_tokens=2496. +(APIServer pid=1) WARNING 10-29 19:42:30 [vllm.py:1703] Enforce eager set, disabling torch.compile, CUDAGraphs, and JIT kernel warmup. This is equivalent to setting -cc.mode=none -cc.cudagraph_mode=none and --kernel_config.enable_jit_warmup=False +(APIServer pid=1) WARNING 10-29 19:42:30 [vllm.py:1727] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. +(APIServer pid=1) INFO 10-29 19:42:30 [kernel.py:467] Final IR op priority after setting platform defaults: IrOpPriorityConfig(rms_norm=['native'], fused_add_rms_norm=['native'], gelu_and_mul_sparse=['native']) +(APIServer pid=1) WARNING 10-29 19:42:30 [cpu.py:317] Reset SSM cache type to float32 for accelerated GDN mamba backend 'none'. +(APIServer pid=1) INFO 10-29 19:42:30 [compilation.py:317] Enabled custom fusions: norm_quant, act_quant +(EngineCore pid=464) INFO 10-29 19:42:38 [core.py:133] Initializing a V1 LLM engine (v0.32.0) with config: model='/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized', speculative_config=None, tokenizer='/data/google_gemma-4-26B-A4B-it-qat-q4_0-unquantized', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.bfloat16, max_seq_len=8192, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=True, quantization=None, quantization_config=None, enforce_eager=True, aux_output_config=AuxOutputConfig(enable_return_routed_experts=False, max_bytes=None), kv_cache_dtype=auto, device_config=cpu, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, per_request_spec_decode_metrics='none', kv_cache_metrics=False, kv_cache_metrics_sample=0.01, custom_histogram_buckets=None, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False, jit_monitor_mode='warn', jit_monitor_verbose=False), seed=0, served_model_name=google/gemma-4-26B-A4B-it, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['all'], 'ir_enable_torch_wrap': False, 'splitting_ops': [], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_vision_items_per_batch': 0, 'encoder_cudagraph_max_frames_per_batch': None, 'cudagraph_decoder_replay': True, 'decoder_replay_cudagraph_capture_sizes': [], 'decoder_replay_trim_threshold': 768, 'compile_sizes': None, 'compile_ranges_endpoints': [2496], 'inductor_compile_config': {'enable_auto_functionalized_v2': False}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': True, 'fuse_act_quant': True, 'fuse_attn_quant': False, 'fuse_allreduce_rms': False, 'enable_qk_norm_rope_fusion': False, 'fuse_rope_kvcache_cat_mla': False, 'fuse_act_padding': False, 'fuse_qk_norm_rope_kvcache': False}, 'max_cudagraph_capture_size': None, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': False, 'static_all_moe_layers': []}, kernel_config=KernelConfig(ir_op_priority=IrOpPriorityConfig(rms_norm=['native'], fused_add_rms_norm=['native'], gelu_and_mul_sparse=['native']), enable_flashinfer_autotune=True, enable_rocm_segmented_attn_autotune=False, enable_cutedsl_warmup=True, enable_jit_warmup=False, moe_backend='auto', sparse_indexer_topk_backend='auto', linear_backend='auto', linear_backend_per_quant=None) +(EngineCore pid=464) INFO 10-29 19:42:38 [multiproc_executor.py:153] DP group leader: node_rank=0, node_rank_within_dp=0, master_addr=127.0.0.1, mq_connect_ip=10.42.0.9 (local), world_size=1, local_world_size=1 +(EngineCore pid=464) INFO 10-29 19:42:38 [ompmultiprocessing.py:185] OpenMP thread binding info: +(EngineCore pid=464) INFO 10-29 19:42:38 [ompmultiprocessing.py:185] VLLM_CPU_OMP_THREADS_BIND='0-47', auto_setup=False, skip_setup=False +(EngineCore pid=464) INFO 10-29 19:42:38 [ompmultiprocessing.py:185] local_world_size=1, reserve_cpu_num=1 +(EngineCore pid=464) INFO 10-29 19:42:38 [ompmultiprocessing.py:185] local_rank=0, core ids=[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47] +(EngineCore pid=464) INFO 10-29 19:42:38 [ompmultiprocessing.py:185] reserved_cpus=[] +[W1029 19:42:44.842802838 utils.cpp:41] Warning: numa_migrate_pages failed. errno: 1 (function init_cpu_memory_env) +[W1029 19:42:44.842824439 utils.cpp:68] Warning: NUMA binding: Using MEMBIND policy for memory allocation on the NUMA nodes (0). Memory allocations will be strictly bound to these NUMA nodes. (function init_cpu_memory_env) +(Worker pid=695) INFO 10-29 19:42:44 [parallel_state.py:1906] world_size=1 rank=0 local_rank=0 distributed_init_method=file:///tmp/vllm_dist_9dd2e75a18ab4c509bb046c5318b745e backend=gloo +(Worker pid=695) INFO 10-29 19:42:44 [parallel_state.py:2350] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, ETP rank 0, EP rank 0, EPLB rank N/A +(Worker pid=695) INFO 10-29 19:42:44 [cpu_worker.py:162] Using V2 Model Runner +(Worker pid=695) INFO 10-29 19:42:45 [model_runner.py:392] Loading model from scratch... +(Worker pid=695) INFO 10-29 19:42:49 [unquantized.py:364] Using CPU Unquantized MoE backend out of potential backends: ['CPU']. +(Worker pid=695) INFO 10-29 19:42:50 [base_loader.py:82] Initializing model took 4.986430 seconds +(Worker pid=695) INFO 10-29 19:42:50 [weight_utils.py:1108] Filesystem type for checkpoints: EXT4. Checkpoint size: 48.07 GiB. Available RAM: 349.78 GiB. +(Worker pid=695) INFO 10-29 19:42:50 [weight_utils.py:1131] Auto-prefetch is disabled because the filesystem (EXT4) is not a recognized network FS (NFS/Lustre). If you want to force prefetching, start vLLM with --safetensors-load-strategy=prefetch. + Loading safetensors checkpoint shards: 0% Completed | 0/2 [00:00 Accelerators: amx +==> Experimental features (auto): dra image-volume +==> Creating k3d cluster 'k3dgpu-g-h54smokeq-1' with image cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76... +INFO[0000] Prep: Network +INFO[0000] Created network 'k3d-k3dgpu-g-h54smokeq-1' +INFO[0000] Created image volume k3d-k3dgpu-g-h54smokeq-1-images +INFO[0000] Starting new tools node... +INFO[0000] Starting node 'k3d-k3dgpu-g-h54smokeq-1-tools' +INFO[0001] Creating node 'k3d-k3dgpu-g-h54smokeq-1-server-0' +INFO[0001] Using the k3d-tools node to gather environment information +INFO[0001] HostIP: using network gateway 172.19.0.1 address +INFO[0001] Starting cluster 'k3dgpu-g-h54smokeq-1' +INFO[0001] Starting servers... +INFO[0001] Starting node 'k3d-k3dgpu-g-h54smokeq-1-server-0' +INFO[0004] All agents already running. +INFO[0004] All helpers already running. +INFO[0004] Injecting records for hostAliases (incl. host.k3d.internal) and for 1 network members into CoreDNS configmap... +INFO[0006] Cluster 'k3dgpu-g-h54smokeq-1' created successfully! +INFO[0006] --kubeconfig-update-default=false --> sets --kubeconfig-switch-context=false +INFO[0006] You can now use it like this: +export KUBECONFIG=$(/home/devcloud/k3dgpu-gemma/bin/k3d.real kubeconfig write k3dgpu-g-h54smokeq-1) +kubectl cluster-info +==> kubectl for this cluster: export KUBECONFIG=/home/devcloud/k3dgpu-gemma/smoke/smokeq/hold1/kubeconfig +==> Waiting for nodes Ready... +node/k3d-k3dgpu-g-h54smokeq-1-server-0 condition met +==> Waiting for cluster DNS (CoreDNS)... +==> Verifying accelerators are schedulable... +==> Accelerators schedulable: amx=1. Try: k3d-gpu test diff --git a/bench/h54/results/2026-10-29/H54q/smoke/hold1/wait_s b/bench/h54/results/2026-10-29/H54q/smoke/hold1/wait_s new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/smoke/hold1/wait_s @@ -0,0 +1 @@ +0 diff --git a/bench/h54/results/2026-10-29/H54q/weights-verify.txt b/bench/h54/results/2026-10-29/H54q/weights-verify.txt new file mode 100644 index 00000000..50380862 --- /dev/null +++ b/bench/h54/results/2026-10-29/H54q/weights-verify.txt @@ -0,0 +1,47 @@ +2026-10-29T19:37:16Z +OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_language_model.bin: OK +OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_model.bin: OK +OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_per_layer_model.bin: OK +OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_vision_embeddings_model.bin: OK +google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B-it-mmproj.gguf: OK +google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf: OK +google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/model.safetensors: OK +google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00001-of-00002.safetensors: OK +google_gemma-4-26B-A4B-it-qat-q4_0-unquantized/model-00002-of-00002.safetensors: OK +weights.sha256 rc=0 +model-00001-of-00008.safetensors: OK +model-00002-of-00008.safetensors: OK +model-00003-of-00008.safetensors: OK +model-00004-of-00008.safetensors: OK +model-00005-of-00008.safetensors: OK +model-00006-of-00008.safetensors: OK +model-00007-of-00008.safetensors: OK +model-00008-of-00008.safetensors: OK +weights-autoround.sha256 rc=0 +OK OVQ chat_template.jinja ae53464bf3be2580 18683 +OK OVQ config.json 0bdc021081e0b6f4 3810 +OK OVQ generation_config.json 4c2d18c072dc54cc 203 +OK OVQ openvino_config.json dbdca34da1807f65 1393 +OK OVQ openvino_detokenizer.bin 461919bda7b54645 4413547 +OK OVQ openvino_detokenizer.xml 21dd767e165935ba 29928 +OK OVQ openvino_language_model.bin 15516f615701908c 14519629844 +OK OVQ openvino_language_model.xml 3682b3bddc1926df 5113419 +OK OVQ openvino_text_embeddings_model.bin 1808d6e3fbe2ae11 738721800 +OK OVQ openvino_text_embeddings_model.xml c06d1c3f81b3338e 7075 +OK OVQ openvino_text_embeddings_per_layer_model.bin 57fda7ab0340cda7 20 +OK OVQ openvino_text_embeddings_per_layer_model.xml 22795a6cac6c8ead 4764 +OK OVQ openvino_tokenizer.bin 72cc61385a142c29 17270350 +OK OVQ openvino_tokenizer.xml 2b4c6c46990ec715 46897 +OK OVQ openvino_vision_embeddings_model.bin 87a4b947fe95ae91 573967772 +OK OVQ openvino_vision_embeddings_model.xml df91d44c09dc951d 3053576 +OK OVQ preprocessor_config.json 12476d626b89e273 403 +OK OVQ processor_config.json 32bdf45d2ad4cc29 1689 +OK OVQ tokenizer.json cc8d3a0ce36466cc 32169626 +OK OVQ tokenizer_config.json b8045a4576903e86 3728 +OVQ /home/devcloud/k3dgpu-gemma/models/k3dgpu/gemma-4-26b-a4b-it-qat-int4-sym-g32-ov: 20 files, 0 bad; not in the manifest: ['export-venv-freeze.txt', 'graph.pbtxt'] +OVQ manifest rc=0 +google_gemma-4-26B-A4B-it-qat-q4_0-unquantized revision google/gemma-4-26B-A4B-it-qat-q4_0-unquantized f1e06dc520982d9b9edd76859fdb7ab209449949 +google_gemma-4-26B-A4B-it-qat-q4_0-gguf revision google/gemma-4-26B-A4B-it-qat-q4_0-gguf d1c082be9cf3c8a514acf63b8761f4b41935842e +OpenVINO/gemma-4-26b-a4b-it-int4-ov revision OpenVINO/gemma-4-26b-a4b-it-int4-ov 4e5885c3f03844f5887982def09708bdc9f53f7a +Intel_gemma-4-26B-A4B-it-int4-AutoRound revision edff62728a3c79ec541983b86a21674500e0f05b +2026-10-29T19:40:43Z diff --git a/bench/h54/test_h54.py b/bench/h54/test_h54.py index 8acaacce..497bcd2f 100644 --- a/bench/h54/test_h54.py +++ b/bench/h54/test_h54.py @@ -1,7 +1,9 @@ #!/usr/bin/env python3 """Tests for bench/h54 (EXPERIMENTS.md "H54 amendment R1"): the arm renders and their flags, the GSM8K grader, the void rule, the tensor-table byte counts, the bootstrap, the chosen-arm source -rule and the H54a verdicts. No cluster, no network.""" +rule and the H54a verdicts; and H54q's runner (amendments Q1 and Q2): its renders, item records, +hold plan, item client (against fakes and a local stub server) and scorer. No cluster, no network +beyond 127.0.0.1.""" import hashlib import json import os @@ -363,5 +365,362 @@ def test_adds_volume_only_for_campaign_create(self): self.assertEqual(out.split(), ["cluster", "list"]) +# ---- H54q (amendments Q1 and Q2) ---------------------------------------------------------------- + +def q_row(seq, idx, ok=True, error=None, prior=0): + return {"seq": seq, "idx": idx, "ok": ok and error is None, "gold": "1", "reply": "", "usage": {}, + "error": error, "prior_errors": prior, "t0": 0, "t1": 1, "s": 1} + + +def q_write(root, hold, arm, rows, status="measured", reason=""): + d = os.path.join(root, f"hold{hold}", arm) + os.makedirs(d, exist_ok=True) + with open(os.path.join(d, "items.jsonl"), "a") as f: + for r in rows: + f.write(json.dumps(r) + "\n") + with open(os.path.join(d, "status.json"), "w") as f: + json.dump({"status": status, "reason": reason}, f) + return d + + +def fake_h54a(root, correct=None): + """H54a records for the three imported arms: items 0-49, all correct unless listed wrong.""" + for arm in ("OVQ", "OVB", "Lg"): + d = os.path.join(root, h54.Q_ARMS[arm]["h54a"]) + os.makedirs(d, exist_ok=True) + wrong = (correct or {}).get(arm, set()) + with open(os.path.join(d, "quality.json"), "w") as f: + json.dump({"rows": [{"idx": i, "ok": i not in wrong, "error": None} for i in range(50)]}, f) + + +def q_full(root, arm, wrong=(), hold=1): + first = h54.Q_ARMS[arm]["first"] + q_write(root, hold, arm, [q_row(n, i, ok=i not in wrong) for n, i in enumerate(range(first, h54.Q_N), 1)]) + + +class QRecords(unittest.TestCase): + def test_h54a_items_are_score_a_records(self): + # Q1 item 2: OVQ = A1g hold 3 (49/50), OVB = A1o hold 3 (49/50), Lg = Lg hold 2 (50/50). + with tempfile.TemporaryDirectory() as d: + arms = h54.score_q(d)["arms"] + self.assertEqual({a: (arms[a]["answered"], arms[a]["correct"], arms[a]["from_h54a"]) for a in ("OVQ", "OVB", "Lg")}, + {"OVQ": (50, 49, 50), "OVB": (50, 49, 50), "Lg": (50, 50, 50)}) + self.assertEqual(arms["R"]["answered"], 0) + self.assertEqual(arms["Vi"]["answered"], 0) + + @unittest.skipUnless(HAVE_YAML, "PyYAML") + def test_renders_are_h54as(self): + import yaml + with tempfile.TemporaryDirectory() as d: + for arm, rec in (("OVQ", "hold3/A1g"), ("OVB", "hold3/A1o"), ("Lg", "hold2/Lg")): + out = os.path.join(d, arm + ".yaml") + h54.q_render(arm, out) + with open(out, "rb") as a, open(os.path.join(h54.H54A, rec, "deploy.yaml"), "rb") as b: + self.assertEqual(hashlib.sha256(a.read()).hexdigest(), hashlib.sha256(b.read()).hexdigest()) + with open(os.path.join(h54.H54A, "hold2/B1g/deploy.yaml")) as f: + b1g = [x for x in yaml.safe_load_all(f) if x] + for arm, base in (("R", "Vq"), ("Vi", "Vi")): + out = os.path.join(d, arm + ".yaml") + h54.q_render(arm, out) + with open(out) as f: + got = [x for x in yaml.safe_load_all(f) if x] + self.assertEqual(got, h54.derive_vllm(base, b1g)) + c = [x for x in got if x["kind"] == "Deployment"][0]["spec"]["template"]["spec"]["containers"][0] + self.assertEqual(c["image"], h54.IMG["vllm032"]) + model = c["args"][c["args"].index("--model") + 1] + self.assertEqual(model, f"/data/{h54.AUTOROUND if arm == 'Vi' else h54.QAT}") + self.assertNotIn("--speculative-config", c["args"]) + + def test_bases(self): + self.assertEqual({a: h54.Q_ARMS[a]["base"] for a in h54.Q_ORDER}, + {"R": "Vq", "OVQ": "A1g", "OVB": "A1o", "Lg": "Lg", "Vi": "Vi"}) + self.assertEqual(h54.Q_ORDER, ["R", "OVQ", "OVB", "Lg", "Vi"]) + for a in h54.Q_ORDER: + self.assertIn(h54.Q_ARMS[a]["base"], h54.ARMS) + self.assertEqual(h54.ARMS["Vq"]["boot"], 1500) # R is a bf16 vLLM load + + +class QState(unittest.TestCase): + def test_retry_first_second_error_wrong_and_discard(self): + with tempfile.TemporaryDirectory() as r, tempfile.TemporaryDirectory() as a: + fake_h54a(a) + q_write(r, 1, "OVQ", [q_row(1, 50), q_row(2, 51, error="HTTPError"), q_row(3, 52, ok=False), + q_row(4, 53, error="x"), q_row(5, 53, error="x", prior=1), + q_row(6, 54, error="x"), {"event": "stopped", "discard": [6], "reason": "r"}]) + st = h54.q_state(r, "OVQ", a) + self.assertTrue(st[50]["ok"]) + self.assertIsNone(st[51]["ok"]) + self.assertEqual(st[51]["errors"], 1) + self.assertFalse(st[52]["ok"]) + self.assertFalse(st[53]["ok"]) + self.assertTrue(st[53]["final_error"]) + self.assertNotIn(54, st) # discarded by the stopped event + todo = h54.q_todo(r, "OVQ", a) + self.assertEqual(todo[0], (51, 1)) # errored once: front of the next turn + self.assertEqual(todo[1], (54, 0)) + self.assertEqual(len(todo), 150 - 3) + # hold 2 answers 51 on its second ask: the answer counts, not the error + q_write(r, 2, "OVQ", [q_row(1, 51, ok=True, prior=1)]) + self.assertTrue(h54.q_state(r, "OVQ", a)[51]["ok"]) + + def test_first_answer_wins_and_range(self): + with tempfile.TemporaryDirectory() as r, tempfile.TemporaryDirectory() as a: + fake_h54a(a) + q_write(r, 1, "OVQ", [q_row(1, 60, ok=False), q_row(2, 7, ok=False)]) # 7 is H54a's + q_write(r, 2, "OVQ", [q_row(1, 60, ok=True)]) + st = h54.q_state(r, "OVQ", a) + self.assertFalse(st[60]["ok"]) + self.assertTrue(st[7]["ok"]) + self.assertEqual(st[7]["src"], "H54a/hold3/A1g") + self.assertEqual(h54.q_todo(r, "R", a)[0], (0, 0)) # R answers 0-199 + + def test_cut_line_is_unanswered(self): + with tempfile.TemporaryDirectory() as r, tempfile.TemporaryDirectory() as a: + fake_h54a(a) + d = q_write(r, 1, "Lg", [q_row(1, 50)]) + with open(os.path.join(d, "items.jsonl"), "a") as f: + f.write('{"seq": 2, "idx": 51, "ok": tr') # killed mid-write + self.assertEqual(h54.q_todo(r, "Lg", a)[0], (51, 0)) + + +class QPlan(unittest.TestCase): + def test_order_done_and_lost(self): + with tempfile.TemporaryDirectory() as r, tempfile.TemporaryDirectory() as a: + fake_h54a(a) + self.assertEqual(h54.q_plan(r, a), ["R", "OVQ", "OVB", "Lg", "Vi"]) + q_full(r, "R") + q_write(r, 1, "OVQ", [q_row(1, 50)]) + self.assertEqual(h54.q_plan(r, a), ["OVQ", "OVB", "Lg", "Vi"]) + # not deliverable or stopped once: carried; twice: dropped (R3 carries once) + q_write(r, 1, "OVB", [], status="failed", reason="server stopped answering: x") + self.assertIn("OVB", h54.q_plan(r, a)) + q_write(r, 2, "OVB", [], status="not_deliverable") + self.assertNotIn("OVB", h54.q_plan(r, a)) + # not reached costs nothing + q_write(r, 1, "Lg", [], status="not_reached") + q_write(r, 2, "Lg", [], status="not_reached") + self.assertIn("Lg", h54.q_plan(r, a)) + # the probe-first Vi gets one boot attempt + q_write(r, 2, "Vi", [], status="not_deliverable") + self.assertEqual(h54.q_plan(r, a), ["OVQ", "Lg"]) + + def test_cli(self): + with tempfile.TemporaryDirectory() as r: + run = lambda *a: subprocess.run([sys.executable, os.path.join(HERE, "h54.py"), *a], capture_output=True, text=True) # noqa: E731 + self.assertEqual(run("q-plan", r).stdout.split(), ["R", "OVQ", "OVB", "Lg", "Vi"]) + self.assertEqual(run("q-base", "OVB").stdout.strip(), "A1o") + self.assertEqual(run("q-todo", r, "OVQ").stdout.split()[:2], ["50", "51"]) + + +def item(i): + return {"idx": i, "question": f"q{i}", "answer": f"#### {i}"} + + +class QAsk(unittest.TestCase): + def ask_with(self, todo, ask, probe=lambda t: True, stop=None, **kw): + import time + with tempfile.TemporaryDirectory() as d: + out = os.path.join(d, "items.jsonl") + s = h54.q_ask(todo, out, stop or time.time() + 60, ask, probe, tick=0.01, **kw) + rows, discard = h54.q_rows(out) + return s, rows, discard + + def test_answers_and_one_retry(self): + seen = {} + + def ask(it, t): + seen[it["idx"]] = seen.get(it["idx"], 0) + 1 + if it["idx"] == 3 and seen[3] == 1: + raise OSError("reset") + if it["idx"] == 4: + raise OSError("always") + return f"Answer: {it['idx'] if it['idx'] != 2 else 99}", {"completion_tokens": 5} + s, rows, _ = self.ask_with([(item(i), 0) for i in range(5)] + [(item(5), 1)], ask, workers=2) + self.assertEqual(seen, {0: 1, 1: 1, 2: 1, 3: 2, 4: 2, 5: 1}) # an error is asked once more + self.assertIsNone(s["stopped"]) + self.assertEqual((s["answered"], s["errors"], s["cut"], s["not_asked"]), (5, 3, 0, 0)) + by = {} + for r in rows: + by.setdefault(r["idx"], []).append(r) + self.assertEqual([r["ok"] for r in by[2]], [False]) + self.assertEqual([bool(r["error"]) for r in by[3]], [True, False]) + self.assertEqual([r["prior_errors"] for r in by[4]], [0, 1]) + self.assertEqual(len(by[5]), 1) # errored before: its retry is this ask + + def test_streak_stops_and_discards(self): + def ask(it, t): + raise ConnectionRefusedError("down") + probes = [] + + def probe(t): + probes.append(t) + return False + s, rows, discard = self.ask_with([(item(i), 0) for i in range(40)], ask, probe=probe, workers=4, streak_max=4) + self.assertTrue(s["stopped"].startswith(h54.STOPPED)) + self.assertEqual(len(probes), 1) + self.assertTrue(30 <= probes[0] <= 300) # bounded by probe_s and by the stop + self.assertEqual(discard, {r["seq"] for r in rows}) # every error of the run is discarded + self.assertGreater(s["not_asked"], 0) + + def test_no_probe_near_the_item_stop(self): + import time + + def ask(it, t): + raise ConnectionRefusedError("down") + probes = [] + s, rows, discard = self.ask_with([(item(i), 1) for i in range(8)], ask, probe=lambda t: probes.append(t), + stop=time.time() + 20, workers=4, streak_max=4) + self.assertEqual(probes, []) # under 30 s before the stop: no probe + self.assertIsNone(s["stopped"]) + self.assertEqual((s["errors"], discard), (8, set())) + + def test_streak_with_answering_server_continues(self): + def ask(it, t): + if it["idx"] < 8: + raise OSError("bad request") + return f"Answer: {it['idx']}", {} + s, rows, discard = self.ask_with([(item(i), 1) for i in range(8)] + [(item(i), 0) for i in range(8, 12)], + ask, workers=4, streak_max=4) + self.assertIsNone(s["stopped"]) + self.assertEqual(discard, set()) + self.assertEqual((s["answered"], s["errors"]), (4, 8)) + + def test_trailing_error_probe(self): + def ask(it, t): + if it["idx"] == 2: + raise OSError("down") + return "Answer: 1", {} + s, _, discard = self.ask_with([(item(i), 0) for i in range(3)], ask, probe=lambda t: False, workers=1) + self.assertIn("ended on an error", s["stopped"]) + self.assertEqual(len(discard), 2) # the item's ask and its retry + + def test_item_stop_cuts(self): + import time + + def ask(it, t): + time.sleep(min(t, 0.5) if it["idx"] else 0.0) + return f"Answer: {it['idx']}", {} + s, rows, _ = self.ask_with([(item(i), 0) for i in range(10)], ask, stop=time.time() + 0.3, workers=2) + self.assertEqual(s["end"], "item stop") + self.assertEqual(s["cut"], 2) + self.assertEqual(s["not_asked"], 7) + self.assertEqual([r["idx"] for r in rows], [0]) + + def test_stall_probe(self): + import time + + def ask(it, t): + time.sleep(2) + return "x", {} + s, rows, _ = self.ask_with([(item(i), 0) for i in range(3)], ask, probe=lambda t: False, workers=3, stall_s=0.2) + self.assertIn("no request finished", s["stopped"]) + self.assertEqual(rows, []) + + def test_against_a_stub_server(self): + import http.server + import threading + + class Stub(http.server.BaseHTTPRequestHandler): + def log_message(self, *a): + pass + + def reply(self, body): + b = json.dumps(body).encode() + self.send_response(200) + self.send_header("Content-Type", "application/json") + self.send_header("Content-Length", str(len(b))) + self.end_headers() + self.wfile.write(b) + + def do_GET(self): + self.reply({"data": [{"id": "gemma"}]}) + + def do_POST(self): + req = json.loads(self.rfile.read(int(self.headers["Content-Length"]))) + q = req["messages"][0]["content"] + assert req.get("chat_template_kwargs") == {"enable_thinking": False} or req["max_tokens"] == 16 + self.reply({"choices": [{"message": {"content": "Answer: 7" if "pens" in q else "Answer: 5"}}], + "usage": {"completion_tokens": 3}}) + srv = http.server.ThreadingHTTPServer(("127.0.0.1", 0), Stub) + threading.Thread(target=srv.serve_forever, daemon=True).start() + url = f"http://127.0.0.1:{srv.server_address[1]}/v1" + try: + with tempfile.TemporaryDirectory() as d: + self.assertTrue(h54.ready(url, "gemma")) + p = subprocess.run([sys.executable, os.path.join(HERE, "h54.py"), "q-smoke", url, "gemma", d, + str(__import__("time").time() + 60)], capture_output=True, text=True) + self.assertEqual(p.returncode, 0, p.stdout + p.stderr) + rows, _ = h54.q_rows(os.path.join(d, "smoke-items.jsonl")) + self.assertEqual(sorted((r["idx"], r["ok"]) for r in rows), [(1000, True), (1001, False)]) + res, out = os.path.join(d, "res"), os.path.join(d, "res", "hold1", "Lg") + os.makedirs(out) + p = subprocess.run([sys.executable, os.path.join(HERE, "h54.py"), "q-items", url, "gemma", res, "Lg", out, + str(__import__("time").time() + 60)], capture_output=True, text=True) + self.assertEqual(p.returncode, 0, p.stdout + p.stderr) + q = json.load(open(os.path.join(out, "q.json"))) + self.assertEqual((q["status"], q["todo"], q["answered"], q["first_items"][0]), ("measured", 150, 150, 50)) + self.assertEqual(h54.q_todo(res, "Lg"), []) + finally: + srv.shutdown() + self.assertFalse(h54.ready("http://127.0.0.1:9/v1", "gemma", timeout=1)) + + +class ScoreQ(unittest.TestCase): + def score(self, wrong, h54a_wrong=None): + with tempfile.TemporaryDirectory() as r, tempfile.TemporaryDirectory() as a: + fake_h54a(a, h54a_wrong) + for arm, w in wrong.items(): + q_full(r, arm, w) + return h54.score_q(r, a, n=2000) + + def test_supported(self): + # OVQ = R; OVB misses 20 items OVQ answers + rep = self.score({"R": set(range(50, 200, 25)), "OVQ": set(range(50, 200, 25)), "OVB": set(range(51, 71))}) + self.assertEqual(rep["verdict"], "SUPPORTED", rep) + self.assertEqual(rep["tests"]["OVQ-R"]["diff"], 0.0) + self.assertLess(rep["tests"]["OVB-OVQ"]["ci95"][1], 0) + + def test_refuted_ovq_below_r(self): + rep = self.score({"R": set(), "OVQ": set(range(60, 100)), "OVB": set(range(60, 100))}) + self.assertEqual(rep["verdict"], "REFUTED") + self.assertIn("OVQ - R", rep["reason"]) + + def test_refuted_ovb_above_ovq_with_one_test(self): + # R did not answer every item: OVQ - R is missing, and the OVB - OVQ test alone refutes + with tempfile.TemporaryDirectory() as r, tempfile.TemporaryDirectory() as a: + fake_h54a(a) + q_full(r, "OVQ", set(range(60, 90))) + q_full(r, "OVB", set()) + q_write(r, 1, "R", [q_row(1, 0)]) + rep = h54.score_q(r, a, n=2000) + self.assertIn("missing", rep["tests"]["OVQ-R"]) + self.assertEqual(rep["verdict"], "REFUTED") + self.assertIn("OVB - OVQ", rep["reason"]) + + def test_missing_is_inconclusive(self): + rep = self.score({"OVQ": set(), "OVB": set(range(60, 90))}) + self.assertEqual(rep["verdict"], "INCONCLUSIVE") + self.assertIn("OVQ-R", rep["reason"]) + self.assertEqual(rep["tests"]["OVQ-R"]["missing"], "R did not answer all 200 items") + + def test_neither(self): + rep = self.score({"R": set(), "OVQ": set(), "OVB": set()}) + self.assertEqual(rep["verdict"], "INCONCLUSIVE") + self.assertEqual(rep["tests"]["OVB-OVQ"]["ci95"], [0.0, 0.0]) + + def test_imported_items_count(self): + rep = self.score({"R": set(), "OVQ": set(), "OVB": set()}, h54a_wrong={"OVQ": {3}}) + self.assertEqual(rep["arms"]["OVQ"]["correct"], 199) + self.assertEqual(rep["tests"]["OVQ-R"]["b_only"], 1) + + def test_paired_boot(self): + d = [1] * 10 + [0] * 180 + [-1] * 10 + self.assertEqual(h54.paired_boot(d, 2000), h54.paired_boot(d, 2000)) + lo, hi = h54.paired_boot(d, 2000) + self.assertLess(lo, 0) + self.assertGreater(hi, 0) + self.assertEqual(h54.paired_boot([0.5] * 7, 100), (0.5, 0.5)) + + if __name__ == "__main__": unittest.main() diff --git a/bench/h57d/results/2026-10-29/SHA256SUMS b/bench/h57d/results/2026-10-29/SHA256SUMS new file mode 100644 index 00000000..73e741f6 --- /dev/null +++ b/bench/h57d/results/2026-10-29/SHA256SUMS @@ -0,0 +1,176 @@ +544f39bba09a7989bee89ef00969693d8429ddaa0ded95df380b4d338f65329f ./campaign.log +668e3b8a59acf8936b5a53f6a9ccb68b4bb4ba8d1107cc73afa994103ef8f86c ./cotenants-hold1-post.txt +37f336f50d4b6895830152d87a4c6a09756e3bbf7ba7f7a960c56ebc561884e7 ./cotenants-hold1-pre.txt +3594a1382d3737d178c50ab0b9e39d122b7ef3e4bc7d5c58df40d01bbf2441a7 ./cotenants-hold2-post.txt +222c319b1440db1cc8899e0323eb6c3fd662c95cf28e157e79ed804b3e1a9cd2 ./cotenants-hold2-pre.txt +42ef390dbeb602e35cb4e696c6ea47422d973c5cc6078c9e2270b2e84c45bbbf ./cotenants-start.txt +774de9cbd42b94c946409f7d123870be6aad4dca958adfdf7f55a7eefb7c2894 ./drafter-check.txt +b528a70027183f1b556144618cd25c46f8edcb90d2760d452c008c6d01049fdb ./hold1/hold.log +36853235b40afe962a5f9b4662c44a94ad2b62373b545a8f40a680ebfc956bf0 ./hold1/Ld-mtp/apply.log +f7f0fd84a9de5d89c2a9276947ef89a307b56d24fb15ab4f9d09c4f506c0074c ./hold1/Ld-mtp/arm.log +8f479e6834e58d4425b64a2cb20a719f14e557cd9fb3f33a1bbdb30e963fe837 ./hold1/Ld-mtp/boot.json +730d2897209b0fdfe01e366e81055c71d6e0753d44d7dccb555ce239494cf174 ./hold1/Ld-mtp/cpus.txt +5cc6d0eff0caa871c5951d63a8ce7a99e9cb5b6ee5ab4d53a3456c9fd9a5a98d ./hold1/Ld-mtp/delete.log +450d79b2a5bf934d73c103a187180603b2ac8844178ddd5e4be366275c0bf3a3 ./hold1/Ld-mtp/deploy.yaml +caafded22d28ac1a9a13e16cd3edfb9b8807511fe7c42ca4517e6ee23c9a7ab9 ./hold1/Ld-mtp/describe.txt +182aa50a7e152347b397df524967db2bb26862a6aec296b1caf47d2dce41925e ./hold1/Ld-mtp/energy-idle.json +1e11583f454d4180fb9c3f968299e9fcbb9feeb6e604572faef701b7ffe76f06 ./hold1/Ld-mtp/energy-n1.json +2352e6e2532b654d419afa33a17b5627c556e4b0a6806bbc877b43d8480669a4 ./hold1/Ld-mtp/energy-n4.json +1338d55c9cb05e8833b2c8ad8437910bba5a3c20a0b1e9abd809e2241ac4e95b ./hold1/Ld-mtp/energy-ttft.json +73afd031c2bbb714aa9fa47e29c542117e63e4d1f27df940da9b440d4027bdb8 ./hold1/Ld-mtp/energy-warmup.json +0c127cad5e17801cf0487006aff94bf6342f9ddadd9393de7107f8186c029d6c ./hold1/Ld-mtp/hello.json +a17bc32d0da942c00384c5eb6b3edad839cf229899793897a4c577bd749d891d ./hold1/Ld-mtp/image.txt +3ef1d66d325deb08e8901a8c6a584865a74481625d0e5e324da868f1d378ff24 ./hold1/Ld-mtp/load-n1.json +d7ca60ac0b1f5513961c2c70a97442733ea3550b4c50e79652e9cbf8753b7fb8 ./hold1/Ld-mtp/load-n4.json +60f3b50c6f03e6700767c24631569908b8b82aec59758c15f4deec91a9e29ef1 ./hold1/Ld-mtp/load-ttft.json +5b590ccd9ce8709e8ba02fb9945b9cd141e14a593a034c46d2952a152c5f9875 ./hold1/Ld-mtp/load-warmup.json +80aa1ea71b7be0b3eeb6a368b315ca49f8cb6a5c2482645445e9442e6c46c855 ./hold1/Ld-mtp/models.json +195998190585253417e95edc71de6ec48bb16a3b501e929a201573fd140a89b4 ./hold1/Ld-mtp/phases.jsonl +094ae41a91506efb3c44c616fd4a36ca830301b0036e2c1a5c3cd59ab90f3418 ./hold1/Ld-mtp/pod.json +e88b05fab934c8db5c9f5750b643202aa453d5302e70e76e0c5bc3fa4470b80a ./hold1/Ld-mtp/pods.txt +aae1d3e494ec99ba73dffca625c4eb5ae9e86a8b2e8fbe9fa0a9e1347a560781 ./hold1/Ld-mtp/server.log +9c7a83697a720449bbb4099563bd1852fd51aa4a693a5a7aa449756b1ba86736 ./hold1/Ld-mtp/status.json +fe8dd3b8c54672da53b848dbf947692fa603148d1f0e73174d752d515d313d08 ./hold1/Ld-mtp-u/apply.log +65576c1f3689add815688f97d53a51f8bac044b37cdfea59b8eb9372a112dc83 ./hold1/Ld-mtp-u/arm.log +f8b9840696e4006f96099e97ccaac27e86558df7f9d2ec650f6732d6ac1206f9 ./hold1/Ld-mtp-u/boot.json +efa948b9356d4fc1b6b60245236fb31a4e78a9a464399ae87e96ae837c686356 ./hold1/Ld-mtp-u/cpus.txt +a1c2c70e5446e48e7c2a501f8e9d59c23c4916f9a01ed98ee2cf9745f89acd9b ./hold1/Ld-mtp-u/delete.log +2d5e9405610cf22724db4f0677c39bab3b27259d6eaa9b834e5bc78bd3206bb4 ./hold1/Ld-mtp-u/deploy.yaml +94c51cea2d890a1f5ba397db602e4a282b8fc7fdf52696d81d36cf2500e85413 ./hold1/Ld-mtp-u/describe.txt +061307019a32e59f9781dfe95220d42731cec8c49b8bddfb86a6fab0b4077f4a ./hold1/Ld-mtp-u/energy-idle.json +f69fd0b43e590e0cf5ede214dfa69f73aed855ab8da1f095fbcbdb00260a2111 ./hold1/Ld-mtp-u/energy-n1.json +21f8d0bea6a61eb1a9bfe7107da9527826f720b26625c1d93a37b0aa37cf87b0 ./hold1/Ld-mtp-u/energy-n4.json +2d238c03f561a9319b63fa9ef16f0b46eba8ec770b297e85716958f5c5b18b5d ./hold1/Ld-mtp-u/energy-ttft.json +a660db8fef82d290aa04913397105455043a80416b4fc21202d1ce177de3d83c ./hold1/Ld-mtp-u/energy-warmup.json 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+06b3fd4d383e496321b854d84113d1059824c449b9d1618f853c0b91a4541b51 ./hold1/Ld-mtp-u/server.log +49ba7811abcddb719f609e4a79494955080231eab82432e5a3b14c9a638bfdee ./hold1/Ld-mtp-u/status.json +14c180b58a8684e33d6e243b4517932c58c059ff8ecd6e854186e40a5924b388 ./hold1/load.jsonl +274e3c99961c69919e0ab70d99fe4755546c52d75de4f01e2709b92a76d1f6e7 ./hold1/node.json +e1390890975118c19aa56245fd7384d9cadaed2046bab6b7f5eab5caf1ec7fa7 ./hold1/Od/agent.err +a4382504cd32e0388fa7eea4a88c895b9dd526e8cf7b1f6cb264b47f6a1b0542 ./hold1/Od/agent.yaml +ca9fe21f23be3c4517c4c94f0a1a09c73b156a5203186bc4ea0f89e98e07816e ./hold1/Od/apply.log +127741cf743937f4fe4d40d986a58d8d4514fb548381f4a2e15edb7059e0d663 ./hold1/Od/arm.log +21aeace6164d2e9fb41c7937455864389f7f222807f19304f7e6404834730ebf ./hold1/Od/boot.json +251ce499284c7c2b1d455499be98ef1c6340fb0c4717303cdda5e161cb3172e2 ./hold1/Od/cpus.txt +2f80dab4a3d60298c24974a2ec79630a793089661238f04af14ae3f793325987 ./hold1/Od/delete.log +1c337f9d35bf7b46bde75d1c9c6bcc35dc8214e43ea82d653e5d02bc5b3d77da ./hold1/Od/deploy.yaml +efdd3e6f3bcae424db90f2c2ebbed8eb7671df258bee1aa8159a012d0312c44e ./hold1/Od/describe.txt +d1ef52f4b9244400c5ee037a4c04e67416bc28150ff2463eabae47f2ff7febf3 ./hold1/Od/energy-idle.json +0767a0d75f5e491fb331326094ffbbb5ad05798cba0062d550da8d051dc41ce9 ./hold1/Od/energy-n1.json +56a01d0c6a96040077e1faac7cd551a2bb128e88eaabddbb9988bfd833ef01db ./hold1/Od/energy-n4.json +6647af8a50f301a502a56b8e8a02df90760e22e0c9b685d93a8529e24958d730 ./hold1/Od/energy-ttft.json +d5a364c88f8b63e4c6cc7ec9f0827780df9ab9389ffdf9993d853bd28e149426 ./hold1/Od/energy-warmup.json +b1dde12797906d4630d7fb114fb9bbee170118a61c42ec863e07b49a16f0cb92 ./hold1/Od/hello.json +fa3d2e1749eba3caa1459e7f08baef7ea51594ce52c20786fc568d2a9952f413 ./hold1/Od/image.txt +40c1155b1c9860eff229ee946b25d99be9b77b62a6ffff1ae48e6a8b82169c7a ./hold1/Od/load-n1.json +cfdce150bde3efc559974e1914b6f1d2d5edf01edc5f3cc8151f5129472e4184 ./hold1/Od/load-n4.json +c582cb605487e83b8bd6d808d06ecb251b97f6d5a803ebe9ef7a9046a3960a79 ./hold1/Od/load-ttft.json +d098add185d7eabedb4cc396dd8a5c1fb19b2f80b1b5912fa0fd3b24a02f5fe8 ./hold1/Od/load-warmup.json +ca1f750514328b9e26f37354d8f09b793079f8c84916e7e390aebaeb64af0d58 ./hold1/Od/models.json +2643ae53558d54d8767d8d35d43546755bd1de4b785fa5a144dc3d622415bc48 ./hold1/Od/phases.jsonl +29efc6e3ffbebd426efa3956236a123c068e0b1c66323f4f4987a2ebe6ffe62d ./hold1/Od/pod.json +05f14c5a715290d29e48bb9dabfcecb2bb39aab9a956ff647049014c7a7833b6 ./hold1/Od/pods.txt +4b054af451b2767feb5c0235426291fa2fdea9bb92a2cf74e07da19f8de8b2c2 ./hold1/Od/server.log +dfe4a9a6356ea83f51ed50e5a082dad485c9c9f538e839842f51aa33443a075a ./hold1/Od/staged.yaml +7ac7401e24073621c7351e3bfc4e31364042e6283e10c3eb10e07074178ddadb ./hold1/Od/status.json +325be6120361c197fadb8b631e077812df2ac217e9ef93475a888592d946d45e ./hold1/post.txt +1df605d6a810fc37295df30b190ba3dec09ec0b5826269edd839ae68e354e4f1 ./hold1/pre.txt +9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa ./hold1/rc +c0d7836d4ac0ad0dbc0f14b2eee0fc8e97a030bc3941be3d4044215bc11b3f99 ./hold1/reproduce.txt +f88b0dd89219fa01c0368b1a837ec8bf89205518c0a6281c212237aac04e90d6 ./hold1/up.log +9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa ./hold1/wait_s +8d85851e44541e4b66fed5d9462fd9ecf4bd4c6859c261014407656dca2a0acc ./hold2/hold.log +36853235b40afe962a5f9b4662c44a94ad2b62373b545a8f40a680ebfc956bf0 ./hold2/Ld-mtp/apply.log +1b520c872ba6f5496bf69eb91f324846d73702041e6c27f4d81d8b865c5a799d ./hold2/Ld-mtp/arm.log +cda1543c6a582b07ee3375ecd3c2dfc2e35f2a19949c4e0cacc8ee4ee36930de ./hold2/Ld-mtp/boot.json +730d2897209b0fdfe01e366e81055c71d6e0753d44d7dccb555ce239494cf174 ./hold2/Ld-mtp/cpus.txt +5cc6d0eff0caa871c5951d63a8ce7a99e9cb5b6ee5ab4d53a3456c9fd9a5a98d ./hold2/Ld-mtp/delete.log +450d79b2a5bf934d73c103a187180603b2ac8844178ddd5e4be366275c0bf3a3 ./hold2/Ld-mtp/deploy.yaml +c21fc02307ec9a2280a68f993858fd6e9273d254f6ed308110c941bf0fcb4679 ./hold2/Ld-mtp/describe.txt +d6305391874d71a617816a17e940145a2f80b888a5811e687ca9d1545e4182b8 ./hold2/Ld-mtp/energy-idle.json +f5716037dc50ccfa05e044af094673110203e9c828a335e80e52d4114a88fb4e ./hold2/Ld-mtp/energy-n1.json +b287218cfae3c0f52f0c8886bfdb4f0f0894b125794149ea32a2b6d4f8163e20 ./hold2/Ld-mtp/energy-n4.json +f8d7ae35e1b43b3867f69be0e10322665c2fdb5efb3b1d4a30719e9c518aa251 ./hold2/Ld-mtp/energy-ttft.json +410a0410db1f27ccc4b50e1cbe45ac5d1d0d2852e0811c2ee3608a4c5caefedc ./hold2/Ld-mtp/energy-warmup.json +1d676825ac74c6bfdccddf3dab446d1b70ac4ef4a358565081b08500b3764e0c ./hold2/Ld-mtp/hello.json +a17bc32d0da942c00384c5eb6b3edad839cf229899793897a4c577bd749d891d ./hold2/Ld-mtp/image.txt +ce283c9d7bdb203685b237e7dbdf1df351cb28970f882cda6afd2f033978781f ./hold2/Ld-mtp/load-n1.json +6ccd3eda9fe7d1806fda1c166b635a8ec092f317c54078a9124fe9dbf3598af1 ./hold2/Ld-mtp/load-n4.json +9b29d24cc8a5c47377f26055885ac836452c8bf95892b644ffe8afcb81643064 ./hold2/Ld-mtp/load-ttft.json +ce3980ddf3d18406f612656bd27842778df67ab37e3938787547b7121686c243 ./hold2/Ld-mtp/load-warmup.json +10570be60a77dc8ccd8a77863ac090dca80c45e9e6bde62cfb35ffc0400fd85e ./hold2/Ld-mtp/models.json +b415631aaed058e7c7348824864574bde9603aa95fe560b5fb4e87981bc02c9f ./hold2/Ld-mtp/phases.jsonl +d9bcd24eea94cd13be83b11ab514cc989e7b81618329a9f903dd69fc3837c303 ./hold2/Ld-mtp/pod.json +ab2488a742010acd2b84770e09e203d1dbd4101a00236a60db1216c793ba9037 ./hold2/Ld-mtp/pods.txt +66fdd1dbf31f63769b874d1115ebae788aadaf8f8747c08cad505151420740ff ./hold2/Ld-mtp/server.log +1180d1910c04617325699bd8ad0ae50c6e0b901cd673961d9b6ba1b1b0128fbb ./hold2/Ld-mtp/status.json +fe8dd3b8c54672da53b848dbf947692fa603148d1f0e73174d752d515d313d08 ./hold2/Ld-mtp-u/apply.log +d4c7760d5a250fcfcd8f12eaf8a0af071dbd30bdefaed770e7e15aa96a93cc88 ./hold2/Ld-mtp-u/arm.log +797f89bab8d2695d9e6886f45648a00247ca8b32122ec56dc5439cc6ad9e1763 ./hold2/Ld-mtp-u/boot.json +efa948b9356d4fc1b6b60245236fb31a4e78a9a464399ae87e96ae837c686356 ./hold2/Ld-mtp-u/cpus.txt +a1c2c70e5446e48e7c2a501f8e9d59c23c4916f9a01ed98ee2cf9745f89acd9b ./hold2/Ld-mtp-u/delete.log +2d5e9405610cf22724db4f0677c39bab3b27259d6eaa9b834e5bc78bd3206bb4 ./hold2/Ld-mtp-u/deploy.yaml +c2f1a403c05206e9bab7864bf738c73cd7805a0885dc4467ee8fcdcf881d3e96 ./hold2/Ld-mtp-u/describe.txt +5924879521a590ae0497ff4df84105de6aba07aa318b49d022e79e4e52037f82 ./hold2/Ld-mtp-u/energy-idle.json +571254614c70835fb25bf93a6241e0c787877906e6875173dbffb90411864cf3 ./hold2/Ld-mtp-u/energy-n1.json +e132b5c726f69b84276e143973e47d1f4874f13fff492641722dd9e252b2a846 ./hold2/Ld-mtp-u/energy-n4.json +f34d69d8df597c96f99761380c24996b14c7576ce55e457361baee8a200a999c ./hold2/Ld-mtp-u/energy-ttft.json +543ad62defd7d7fba287392887e9dcdceb6bb7bdf38a13646b28d46daaf01f99 ./hold2/Ld-mtp-u/energy-warmup.json +215298b3e2d57a6c4c20ff8cfd8466b711d9627307617a46a047bf3857f143de ./hold2/Ld-mtp-u/hello.json +a17bc32d0da942c00384c5eb6b3edad839cf229899793897a4c577bd749d891d ./hold2/Ld-mtp-u/image.txt +6ea968443b73188358f8aadcfd171b86edf8194d92c6982e9ba86aebee6ef8e7 ./hold2/Ld-mtp-u/load-n1.json +d8fc9ea6c9b53437b95274b677372975b70202acd99d38941055d9737c5ce14c ./hold2/Ld-mtp-u/load-n4.json +ea88bfbf2ae25b38163a08789ebc9d8ed553554d524795b9c860676d0a1ecbb2 ./hold2/Ld-mtp-u/load-ttft.json +a82ce8ec5e4785450bc5825e5e4046fc70b25c51d8c2f8078aea140130b22cc8 ./hold2/Ld-mtp-u/load-warmup.json +952c4dfeb6dd65105bca1dd469d52f9038e26de785ae1fa495b0257e3d28a29b ./hold2/Ld-mtp-u/models.json +1826a1c34d93dfca00aeee9c872c82bd45b9855bbda551364a06882646c9d1b4 ./hold2/Ld-mtp-u/phases.jsonl +960548d0ef03c248dd1be3ee5fb73a800962e9b9f9c4548a02062a2a89b4ea84 ./hold2/Ld-mtp-u/pod.json +396599955d5d8ffa4ddce1f0b9ff90c5281f964e38b80f7235145e7dab93a192 ./hold2/Ld-mtp-u/pods.txt +ae3457b77cb54e0a4159b1578225b4d005f700456690844ae9904f69ad1ac6d5 ./hold2/Ld-mtp-u/server.log +e216e0d0975b565ddf9af4675ffce339efac0601debecf0d2154204ebb7eee44 ./hold2/Ld-mtp-u/status.json +26e2be614c3a8abf9d42f0f8eb00b5751154f1d1d25af48807c2356d67affb90 ./hold2/load.jsonl +cac55d385d485b0b210bf403e0eedc7e145ccbe60454d2d8dade2ba708038a45 ./hold2/node.json +5cd9279b46958e9211017143e11b910918c830de2955b13d0b6b328bcde503ac ./hold2/Od/agent.err +f1a5ae17fa4117a48442918367492fccaf38ebf38b48d69b248c5ca7d6d929e9 ./hold2/Od/agent.yaml +ca9fe21f23be3c4517c4c94f0a1a09c73b156a5203186bc4ea0f89e98e07816e ./hold2/Od/apply.log +360bc06e595ffa6987f8f82ded76a2701a76d7eb664e90ffb65f610acc9cdb44 ./hold2/Od/arm.log +592686a70a4d0f831b6397424e6c7c24a9c055435df37222c2a5c917b7f99940 ./hold2/Od/boot.json +251ce499284c7c2b1d455499be98ef1c6340fb0c4717303cdda5e161cb3172e2 ./hold2/Od/cpus.txt +2f80dab4a3d60298c24974a2ec79630a793089661238f04af14ae3f793325987 ./hold2/Od/delete.log +436b4c1bc4f8886825647e23d0becea3fd3c7330a68ca9864c9f2731dda28fbc ./hold2/Od/deploy.yaml +27d075fe5243bfd66c72a8a16f245753d506c9225ff17b196f7d598042837525 ./hold2/Od/describe.txt +0eabbf2e11f254527fce6e16c005def93ad45e6da91622aa3b58dd9e9cfa1aed ./hold2/Od/energy-idle.json +0a75ceea1d20ce2705f6a3c3555948e96fc832e50906e9002ee5977ef3a86e89 ./hold2/Od/energy-n1.json +951d1f719b7533ddb63e31a96d7e0fe678ade7137be949f7fe2707eb91c74444 ./hold2/Od/energy-n4.json +fac296474a1bd60321fa9b4e3fb24a82d07178397b7ea5ced5c3ea4ec861dd82 ./hold2/Od/energy-ttft.json +233a2446d008f2329f314aedbaa323ca1f5e1bae670ab675e7cc2ee648f2df58 ./hold2/Od/energy-warmup.json +1c66030c9fe004d88f40be310086f93deaec2ec7e0f4d98b61a6c504b4f59d7c ./hold2/Od/hello.json +fa3d2e1749eba3caa1459e7f08baef7ea51594ce52c20786fc568d2a9952f413 ./hold2/Od/image.txt +2a3a41e6486800aae67480cb2ceae599a28a0867f98bf8e603501ce25cfe23b8 ./hold2/Od/load-n1.json +18d6a36e3c2755238b8b0f1edbbf589d59aa6ed6a746a339f84575ec3dbc1681 ./hold2/Od/load-n4.json +e2387a1d42ad1ce13691397f28e936d14cdfd81ac3f5bf3b084490751d0c0535 ./hold2/Od/load-ttft.json +d401649f818d76c72dab9fddd3d83721c4724bd83eafee0d49b909e27e9374b4 ./hold2/Od/load-warmup.json +49f5e432706c27f10ca7740d557ccdfb1a87e58a00810fb4c1254ce7ef33363c ./hold2/Od/models.json +1e3dd02c7c6958d3b9f5c014b090820eef524c9081af4ed6e121af878bb616f8 ./hold2/Od/phases.jsonl +6ea360624bbfdcebef7d7b370f13808f1c206c8349ba8ced9bd93807f1ceefe3 ./hold2/Od/pod.json +d8af2f3176250b949f353e07760628af07aefa5303ee2caba0609e419e4f964e ./hold2/Od/pods.txt +3f28b1813e17f4e97e08cdbea94ff6dde7b9642cf17848febae571f42277b341 ./hold2/Od/server.log +c42c4e0149c9171619c13c0051cdbb451f62329d32e36bed07dc09e3903d56e8 ./hold2/Od/staged.yaml +8a6ae57391367e853cf026bdcebddfbf50ad78de58f1c9807b304c142101024d ./hold2/Od/status.json +96997b72c6b9be3267f3a7e0fba6653a7f871ea1ce82435301a56be732e74c42 ./hold2/post.txt +8697ae939379d77e236cb6d52743fd563529eb4fac447eda1a87b15fc420bc34 ./hold2/pre.txt +9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa ./hold2/rc +7c8b7565b05dd186c00ffe805b4960dffed3713e90d9366d2451fce6b4f8c14b ./hold2/reproduce.txt +e93546d8eb460d8799f12ec66090ae7af89d80a42b66690077479af375cc5fee ./hold2/up.log +9a271f2a916b0b6ee6cecb2426f0b3206ef074578be55d9bc94f6f3fe3ab86aa ./hold2/wait_s +9481a9a6e942718298778c4f480cc1f762b90d44b1ef87e915a2b01677679f7e ./weights.sha256 diff --git a/bench/h57d/results/2026-10-29/cotenants-hold1-post.txt b/bench/h57d/results/2026-10-29/cotenants-hold1-post.txt new file mode 100644 index 00000000..de4d7a3d --- /dev/null +++ b/bench/h57d/results/2026-10-29/cotenants-hold1-post.txt @@ -0,0 +1,14 @@ +at: 2026-10-29T20:07:19Z +qwen35-9b: running started=2026-10-20T18:32:45.182626468Z restarts=0 image=vllm/vllm-openai:v0.19.1 +gpustack-worker: running started=2026-10-29T20:03:10.732009946Z restarts=4924 image=100.65.68.53:5000/gpuharness-plus:v2.2.23 +qwen35-9b vllm counters: + vllm:num_requests_running{engine="0",model_name="qwen3.5-9b"} 0.0 + vllm:generation_tokens_total{engine="0",model_name="qwen3.5-9b"} 11.0 + vllm:request_success_total{engine="0",finished_reason="stop",model_name="qwen3.5-9b"} 1.0 + vllm:request_success_total{engine="0",finished_reason="length",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="abort",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="error",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="repetition",model_name="qwen3.5-9b"} 0.0 +nvidia-smi: + 0, NVIDIA RTX 4000 SFF Ada Generation, 5206 MiB, 0 %, 25.81 W + 1, NVIDIA RTX 2000E Ada Generation, 13530 MiB, 0 %, 7.09 W diff --git a/bench/h57d/results/2026-10-29/cotenants-hold1-pre.txt b/bench/h57d/results/2026-10-29/cotenants-hold1-pre.txt new file mode 100644 index 00000000..9a691ca7 --- /dev/null +++ b/bench/h57d/results/2026-10-29/cotenants-hold1-pre.txt @@ -0,0 +1,14 @@ +at: 2026-10-29T19:33:13Z +qwen35-9b: running started=2026-10-20T18:32:45.182626468Z restarts=0 image=vllm/vllm-openai:v0.19.1 +gpustack-worker: running started=2026-10-29T19:29:57.931170381Z restarts=4921 image=100.65.68.53:5000/gpuharness-plus:v2.2.23 +qwen35-9b vllm counters: + vllm:num_requests_running{engine="0",model_name="qwen3.5-9b"} 0.0 + vllm:generation_tokens_total{engine="0",model_name="qwen3.5-9b"} 11.0 + vllm:request_success_total{engine="0",finished_reason="stop",model_name="qwen3.5-9b"} 1.0 + vllm:request_success_total{engine="0",finished_reason="length",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="abort",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="error",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="repetition",model_name="qwen3.5-9b"} 0.0 +nvidia-smi: + 0, NVIDIA RTX 4000 SFF Ada Generation, 5206 MiB, 1 %, 25.56 W + 1, NVIDIA RTX 2000E Ada Generation, 13530 MiB, 0 %, 6.74 W diff --git a/bench/h57d/results/2026-10-29/cotenants-hold2-post.txt b/bench/h57d/results/2026-10-29/cotenants-hold2-post.txt new file mode 100644 index 00000000..77d6cca2 --- /dev/null +++ b/bench/h57d/results/2026-10-29/cotenants-hold2-post.txt @@ -0,0 +1,14 @@ +at: 2026-10-29T20:41:54Z +qwen35-9b: running started=2026-10-20T18:32:45.182626468Z restarts=0 image=vllm/vllm-openai:v0.19.1 +gpustack-worker: running started=2026-10-29T20:36:26.721834321Z restarts=4927 image=100.65.68.53:5000/gpuharness-plus:v2.2.23 +qwen35-9b vllm counters: + vllm:num_requests_running{engine="0",model_name="qwen3.5-9b"} 0.0 + vllm:generation_tokens_total{engine="0",model_name="qwen3.5-9b"} 11.0 + vllm:request_success_total{engine="0",finished_reason="stop",model_name="qwen3.5-9b"} 1.0 + vllm:request_success_total{engine="0",finished_reason="length",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="abort",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="error",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="repetition",model_name="qwen3.5-9b"} 0.0 +nvidia-smi: + 0, NVIDIA RTX 4000 SFF Ada Generation, 5206 MiB, 0 %, 25.92 W + 1, NVIDIA RTX 2000E Ada Generation, 13530 MiB, 0 %, 6.81 W diff --git a/bench/h57d/results/2026-10-29/cotenants-hold2-pre.txt b/bench/h57d/results/2026-10-29/cotenants-hold2-pre.txt new file mode 100644 index 00000000..d09c780d --- /dev/null +++ b/bench/h57d/results/2026-10-29/cotenants-hold2-pre.txt @@ -0,0 +1,14 @@ +at: 2026-10-29T20:07:20Z +qwen35-9b: running started=2026-10-20T18:32:45.182626468Z restarts=0 image=vllm/vllm-openai:v0.19.1 +gpustack-worker: running started=2026-10-29T20:03:10.732009946Z restarts=4924 image=100.65.68.53:5000/gpuharness-plus:v2.2.23 +qwen35-9b vllm counters: + vllm:num_requests_running{engine="0",model_name="qwen3.5-9b"} 0.0 + vllm:generation_tokens_total{engine="0",model_name="qwen3.5-9b"} 11.0 + vllm:request_success_total{engine="0",finished_reason="stop",model_name="qwen3.5-9b"} 1.0 + vllm:request_success_total{engine="0",finished_reason="length",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="abort",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="error",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="repetition",model_name="qwen3.5-9b"} 0.0 +nvidia-smi: + 0, NVIDIA RTX 4000 SFF Ada Generation, 5206 MiB, 0 %, 25.81 W + 1, NVIDIA RTX 2000E Ada Generation, 13530 MiB, 0 %, 7.09 W diff --git a/bench/h57d/results/2026-10-29/cotenants-start.txt b/bench/h57d/results/2026-10-29/cotenants-start.txt new file mode 100644 index 00000000..ce197ef1 --- /dev/null +++ b/bench/h57d/results/2026-10-29/cotenants-start.txt @@ -0,0 +1,14 @@ +at: 2026-10-29T19:26:39Z +qwen35-9b: running started=2026-10-20T18:32:45.182626468Z restarts=0 image=vllm/vllm-openai:v0.19.1 +gpustack-worker: running started=2026-10-29T19:19:04.904547451Z restarts=4920 image=100.65.68.53:5000/gpuharness-plus:v2.2.23 +qwen35-9b vllm counters: + vllm:num_requests_running{engine="0",model_name="qwen3.5-9b"} 0.0 + vllm:generation_tokens_total{engine="0",model_name="qwen3.5-9b"} 11.0 + vllm:request_success_total{engine="0",finished_reason="stop",model_name="qwen3.5-9b"} 1.0 + vllm:request_success_total{engine="0",finished_reason="length",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="abort",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="error",model_name="qwen3.5-9b"} 0.0 + vllm:request_success_total{engine="0",finished_reason="repetition",model_name="qwen3.5-9b"} 0.0 +nvidia-smi: + 0, NVIDIA RTX 4000 SFF Ada Generation, 5206 MiB, 0 %, 25.59 W + 1, NVIDIA RTX 2000E Ada Generation, 13530 MiB, 0 %, 6.97 W diff --git a/bench/h57d/results/2026-10-29/drafter-check.txt b/bench/h57d/results/2026-10-29/drafter-check.txt new file mode 100644 index 00000000..599a0e7c --- /dev/null +++ b/bench/h57d/results/2026-10-29/drafter-check.txt @@ -0,0 +1,2 @@ +drafter q4_0 sha256 8eb21d5b7efad6e9761b81066e0b094b73623c60e46ba4c0925cdbbf49c93ca9 bytes 321145696 +c57ecf359d9e252a7dddff510154992292d45a477603f68f8b32679b23dbacd3 /home/andrew/k3dgpu-h57d/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov/graph.pbtxt diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/boot.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/boot.json new file mode 100644 index 00000000..cfc40f3b --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/boot.json @@ -0,0 +1 @@ +{"apply": 1793302435, "ready": 1793302460, "boot_s": 25, "limit_s": 900} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/cpus.txt b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/cpus.txt new file mode 100644 index 00000000..8fc4679f --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/cpus.txt @@ -0,0 +1,5 @@ +cpuset 0-15 +Cpus_allowed_list: 0-15 +avx512f 0 amx 0 nproc 16 +server threads by affinity: + 43 0-15 diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/deploy.yaml b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/deploy.yaml new file mode 100644 index 00000000..b9f796e7 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/deploy.yaml @@ -0,0 +1,73 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h57d +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ld-mtp-u + namespace: h57d + labels: + app: ld-mtp-u +spec: + replicas: 1 + selector: + matchLabels: + app: ld-mtp-u + template: + metadata: + labels: + app: ld-mtp-u + k3d-gpu.io/cores: performance + spec: + containers: + - name: server + image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + imagePullPolicy: IfNotPresent + args: + - -m + - /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + - --host + - 0.0.0.0 + - --port + - '8080' + - --alias + - gemma + - -t + - '8' + - --jinja + - -md + - /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + - --spec-type + - draft-mtp + ports: + - name: http + containerPort: 8080 + resources: + requests: + cpu: '16' + memory: 6Gi + volumeMounts: + - name: models + mountPath: /models + readOnly: true + terminationGracePeriodSeconds: 30 + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ld-mtp-u + namespace: h57d +spec: + selector: + app: ld-mtp-u + ports: + - name: http + port: 8080 + targetPort: 8080 diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/describe.txt b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/describe.txt new file mode 100644 index 00000000..96f6e40e --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/describe.txt @@ -0,0 +1,79 @@ +Name: ld-mtp-u-86594c5f45-dq45n +Namespace: h57d +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-d-h57d-1-server-0/172.20.0.2 +Start Time: Thu, 29 Oct 2026 12:33:55 -0700 +Labels: app=ld-mtp-u + k3d-gpu.io/cores=performance + pod-template-hash=86594c5f45 +Annotations: +Status: Running +IP: 10.42.0.10 +IPs: + IP: 10.42.0.10 +Controlled By: ReplicaSet/ld-mtp-u-86594c5f45 +Containers: + server: + Container ID: containerd://5840ab9be9ef89429f0c4f96587d094d51f98bcc4e5817c6b95a6a2967fe9b52 + Image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Image ID: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Port: 8080/TCP (http) + Host Port: 0/TCP (http) + Args: + -m + /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + --host + 0.0.0.0 + --port + 8080 + --alias + gemma + -t + 8 + --jinja + -md + /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + --spec-type + draft-mtp + State: Running + Started: Thu, 29 Oct 2026 12:34:03 -0700 + Ready: True + Restart Count: 0 + Requests: + cpu: 16 + memory: 6Gi + Environment: + Mounts: + /models from models (ro) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-htb4g (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + kube-api-access-htb4g: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 9m43s default-scheduler Successfully assigned h57d/ld-mtp-u-86594c5f45-dq45n to k3d-k3dgpu-d-h57d-1-server-0 + Normal Pulling 9m43s kubelet spec.containers{server}: Pulling image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" + Normal Pulled 9m36s kubelet spec.containers{server}: Successfully pulled image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" in 7.521s (7.521s including waiting). Image size: 309412002 bytes. + Normal Created 9m36s kubelet spec.containers{server}: Container created + Normal Started 9m36s kubelet spec.containers{server}: Container started diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-idle.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-idle.json new file mode 100644 index 00000000..d8e8fe20 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-idle.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5051.337,"seconds":60.006,"avg_watts":84.181,"command_seconds":60.001,"energy_uj":5051336556,"max_energy_range_uj":262143328850,"samples":13,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-n1.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-n1.json new file mode 100644 index 00000000..3f226397 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-n1.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":14627.491,"seconds":157.655,"avg_watts":92.782,"command_seconds":157.647,"energy_uj":14627491484,"max_energy_range_uj":262143328850,"samples":33,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-n4.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-n4.json new file mode 100644 index 00000000..6fc07008 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-n4.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":19490.443,"seconds":197.506,"avg_watts":98.683,"command_seconds":197.492,"energy_uj":19490443085,"max_energy_range_uj":262143328850,"samples":41,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-ttft.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-ttft.json new file mode 100644 index 00000000..c12d8174 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/energy-ttft.json @@ -0,0 +1 @@ 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A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 2. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 3. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 4. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 5. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 6. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 7. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 8. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. 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+ "terminationMessagePolicy": "File", + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-htb4g", + "readOnly": true + } + ] + } + ], + "dnsPolicy": "ClusterFirst", + "enableServiceLinks": true, + "nodeName": "k3d-k3dgpu-d-h57d-1-server-0", + "preemptionPolicy": "PreemptLowerPriority", + "priority": 0, + "restartPolicy": "Always", + "schedulerName": "default-scheduler", + "securityContext": {}, + "serviceAccount": "default", + "serviceAccountName": "default", + "terminationGracePeriodSeconds": 30, + "tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "name": "kube-api-access-htb4g", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "allocatedResources": { + "cpu": "16", + "memory": "6Gi" + }, + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:33:56Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:33:55Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:34:03Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:34:03Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:33:55Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "allocatedResources": { + "cpu": "16", + "memory": "6Gi" + }, + "containerID": "containerd://5840ab9be9ef89429f0c4f96587d094d51f98bcc4e5817c6b95a6a2967fe9b52", + "image": "sha256:521a6d74176d88e1bc20c9a4e87a9433a8354b69cc3ee85a060d732662eb91f1", + "imageID": "ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312", + "lastState": {}, + "name": "server", + "ready": true, + "resources": { + "requests": { + "cpu": "16", + "memory": "6Gi" + } + }, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:34:03Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 0 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-htb4g", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.20.0.2", + "hostIPs": [ + { + "ip": "172.20.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.10", + "podIPs": [ + { + "ip": "10.42.0.10" + } + ], + "qosClass": "Burstable", + "resources": { + "requests": { + "cpu": "16", + "memory": "6Gi" + } + }, + "startTime": "2026-10-29T19:33:55Z" + } +} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/pods.txt b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/pods.txt new file mode 100644 index 00000000..9fbfa2dd --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/pods.txt @@ -0,0 +1,10 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h57d ld-mtp-u-86594c5f45-dq45n 1/1 Running 0 25s 10.42.0.10 k3d-k3dgpu-d-h57d-1-server-0 +kube-system coredns-577d995dff-9lwps 1/1 Running 0 48s 10.42.0.3 k3d-k3dgpu-d-h57d-1-server-0 +kube-system helm-install-gateway-api-crd-2vvkw 0/1 Completed 0 48s 10.42.0.5 k3d-k3dgpu-d-h57d-1-server-0 +kube-system local-path-provisioner-6858d854cf-wm2hf 1/1 Running 0 48s 10.42.0.6 k3d-k3dgpu-d-h57d-1-server-0 +kube-system metrics-server-778c4649b4-h9gqw 1/1 Running 0 48s 10.42.0.2 k3d-k3dgpu-d-h57d-1-server-0 +kube-system nri-resource-policy-balloons-6mtbz 1/1 Running 0 46s 10.42.0.9 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-qkqsd 1/1 Running 0 48s 10.42.0.7 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-mmvlz 1/1 Running 0 48s 10.42.0.4 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-worker-vjnmf 1/1 Running 0 48s 10.42.0.8 k3d-k3dgpu-d-h57d-1-server-0 diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/status.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/status.json new file mode 100644 index 00000000..7aeea5d0 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp-u/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "perf phases recorded", "at": "2026-10-29T19:43:39Z"} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/boot.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/boot.json new file mode 100644 index 00000000..9dde5e59 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/boot.json @@ -0,0 +1 @@ +{"apply": 1793303817, "ready": 1793303851, "boot_s": 34, "limit_s": 900} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/cpus.txt b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/cpus.txt new file mode 100644 index 00000000..133c3c39 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/cpus.txt @@ -0,0 +1,13 @@ +cpuset 0-15 +Cpus_allowed_list: 0-15 +avx512f 0 amx 0 nproc 16 +server threads by affinity: + 2 0 + 34 0-15 + 1 10 + 1 12 + 1 14 + 1 2 + 1 4 + 1 6 + 1 8 diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/deploy.yaml b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/deploy.yaml new file mode 100644 index 00000000..ca516551 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/deploy.yaml @@ -0,0 +1,77 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h57d +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ld-mtp + namespace: h57d + labels: + app: ld-mtp +spec: + replicas: 1 + selector: + matchLabels: + app: ld-mtp + template: + metadata: + labels: + app: ld-mtp + k3d-gpu.io/cores: performance + spec: + containers: + - name: server + image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + imagePullPolicy: IfNotPresent + args: + - -m + - /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + - --host + - 0.0.0.0 + - --port + - '8080' + - --alias + - gemma + - -t + - '8' + - -C + - '0x5555' + - --cpu-strict + - '1' + - --jinja + - -md + - /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + - --spec-type + - draft-mtp + ports: + - name: http + containerPort: 8080 + resources: + requests: + cpu: '16' + memory: 6Gi + volumeMounts: + - name: models + mountPath: /models + readOnly: true + terminationGracePeriodSeconds: 30 + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ld-mtp + namespace: h57d +spec: + selector: + app: ld-mtp + ports: + - name: http + port: 8080 + targetPort: 8080 diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/describe.txt b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/describe.txt new file mode 100644 index 00000000..dc27e7f9 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/describe.txt @@ -0,0 +1,82 @@ +Name: ld-mtp-6d49f9f4d4-k6mtn +Namespace: h57d +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-d-h57d-1-server-0/172.20.0.2 +Start Time: Thu, 29 Oct 2026 12:56:57 -0700 +Labels: app=ld-mtp + k3d-gpu.io/cores=performance + pod-template-hash=6d49f9f4d4 +Annotations: +Status: Running +IP: 10.42.0.12 +IPs: + IP: 10.42.0.12 +Controlled By: ReplicaSet/ld-mtp-6d49f9f4d4 +Containers: + server: + Container ID: containerd://3c8e8ed1fc5fcb93c8e88302a5488dc5139d0e82f32a997a877cd57f84dc3e30 + Image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Image ID: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Port: 8080/TCP (http) + Host Port: 0/TCP (http) + Args: + -m + /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + --host + 0.0.0.0 + --port + 8080 + --alias + gemma + -t + 8 + -C + 0x5555 + --cpu-strict + 1 + --jinja + -md + /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + --spec-type + draft-mtp + State: Running + Started: Thu, 29 Oct 2026 12:56:57 -0700 + Ready: True + Restart Count: 0 + Requests: + cpu: 16 + memory: 6Gi + Environment: + Mounts: + /models from models (ro) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-pn8xp (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + kube-api-access-pn8xp: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 10m default-scheduler Successfully assigned h57d/ld-mtp-6d49f9f4d4-k6mtn to k3d-k3dgpu-d-h57d-1-server-0 + Normal Pulled 10m kubelet spec.containers{server}: Container image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" already present on machine and can be accessed by the pod + Normal Created 10m kubelet spec.containers{server}: Container created + Normal Started 10m kubelet spec.containers{server}: Container started diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-idle.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-idle.json new file mode 100644 index 00000000..e70575dc --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-idle.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5301.668,"seconds":60.010,"avg_watts":88.346,"command_seconds":60.001,"energy_uj":5301667641,"max_energy_range_uj":262143328850,"samples":13,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-n1.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-n1.json new file mode 100644 index 00000000..701402ae --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-n1.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":16761.158,"seconds":176.155,"avg_watts":95.150,"command_seconds":176.152,"energy_uj":16761158202,"max_energy_range_uj":262143328850,"samples":37,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-n4.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-n4.json new file mode 100644 index 00000000..094d56be --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-n4.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":18735.265,"seconds":191.202,"avg_watts":97.987,"command_seconds":191.196,"energy_uj":18735265270,"max_energy_range_uj":262143328850,"samples":40,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-ttft.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-ttft.json new file mode 100644 index 00000000..b3d559e9 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-ttft.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":7467.600,"seconds":72.543,"avg_watts":102.941,"command_seconds":72.529,"energy_uj":7467600389,"max_energy_range_uj":262143328850,"samples":16,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-warmup.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-warmup.json new file mode 100644 index 00000000..78e07545 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/energy-warmup.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":6545.697,"seconds":68.318,"avg_watts":95.812,"command_seconds":68.311,"energy_uj":6545696500,"max_energy_range_uj":262143328850,"samples":15,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/hello.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/hello.json new file mode 100644 index 00000000..930f2d9b --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","content":"","reasoning_content":"The user said \"Say hello.\"\nThe user wants a greeting"}}],"created":1793303851,"model":"gemma","system_fingerprint":"b11749-1d88cb05f","object":"chat.completion","usage":{"completion_tokens":16,"prompt_tokens":19,"total_tokens":35,"prompt_tokens_details":{"cached_tokens":0}},"id":"chatcmpl-v2cRdg9TXmIGxisH0nBLrOoHsMaPEPC2","timings":{"cache_n":0,"prompt_n":19,"prompt_ms":580.249,"prompt_per_token_ms":30.53942105263158,"prompt_per_second":32.744563109975196,"predicted_n":16,"predicted_ms":971.716,"predicted_per_token_ms":64.78106666666666,"predicted_per_second":15.436609050380973,"draft_n":13,"draft_n_accepted":10}} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/image.txt b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/image.txt new file mode 100644 index 00000000..b00802a6 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/image.txt @@ -0,0 +1 @@ +ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 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A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 2. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 3. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 4. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 5. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 6. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 7. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 8. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. 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+ "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:56:57Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 0 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-pn8xp", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.20.0.2", + "hostIPs": [ + { + "ip": "172.20.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.12", + "podIPs": [ + { + "ip": "10.42.0.12" + } + ], + "qosClass": "Burstable", + "resources": { + "requests": { + "cpu": "16", + "memory": "6Gi" + } + }, + "startTime": "2026-10-29T19:56:57Z" + } +} diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/pods.txt b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/pods.txt new file mode 100644 index 00000000..ab1f4845 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/pods.txt @@ -0,0 +1,10 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h57d ld-mtp-6d49f9f4d4-k6mtn 1/1 Running 0 34s 10.42.0.12 k3d-k3dgpu-d-h57d-1-server-0 +kube-system coredns-577d995dff-9lwps 1/1 Running 0 23m 10.42.0.3 k3d-k3dgpu-d-h57d-1-server-0 +kube-system helm-install-gateway-api-crd-2vvkw 0/1 Completed 0 23m 10.42.0.5 k3d-k3dgpu-d-h57d-1-server-0 +kube-system local-path-provisioner-6858d854cf-wm2hf 1/1 Running 0 23m 10.42.0.6 k3d-k3dgpu-d-h57d-1-server-0 +kube-system metrics-server-778c4649b4-h9gqw 1/1 Running 0 23m 10.42.0.2 k3d-k3dgpu-d-h57d-1-server-0 +kube-system nri-resource-policy-balloons-6mtbz 1/1 Running 0 23m 10.42.0.9 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-qkqsd 1/1 Running 0 23m 10.42.0.7 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-mmvlz 1/1 Running 0 23m 10.42.0.4 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-worker-vjnmf 1/1 Running 0 23m 10.42.0.8 k3d-k3dgpu-d-h57d-1-server-0 diff --git a/bench/h57d/results/2026-10-29/hold1/Ld-mtp/status.json b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/status.json new file mode 100644 index 00000000..91289a5a --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Ld-mtp/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "perf phases recorded", "at": "2026-10-29T20:07:02Z"} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold1/Od/agent.err b/bench/h57d/results/2026-10-29/hold1/Od/agent.err new file mode 100644 index 00000000..684f4a6f --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/agent.err @@ -0,0 +1,2 @@ +==> fit: OpenVINO/gemma-4-26b-a4b-it-int4-ov on CPU (AVX2) via ovms, context 131072 x 6 seqs, host 32.4 GiB (pod limit 36Gi), host reserve 12.5 GiB +==> agent: OpenVINO/gemma-4-26b-a4b-it-int4-ov as 'gemma' on CPU, 1 CPU(s) diff --git a/bench/h57d/results/2026-10-29/hold1/Od/agent.yaml b/bench/h57d/results/2026-10-29/hold1/Od/agent.yaml new file mode 100644 index 00000000..a02b68f8 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/agent.yaml @@ -0,0 +1,107 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +# Models and the compiled-model cache live here, so restarts never re-download. +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: ovms-models + namespace: k3d-gpu-agent +spec: + accessModes: [ReadWriteOnce] + resources: + requests: + storage: 20Gi +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: "cpu 6x131072" + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + initContainers: + # --pull downloads the model once and writes its graph.pbtxt (device, + # parsers). On later starts the files are already there and only the + # graph is rewritten, so a device change takes effect with no download. + - name: pull + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --pull + - --source_model=OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_repository_path=/models + - --model_name=gemma + - --task=text_generation + - --target_device=CPU + - --max_num_seqs=6 + - --cache_size=16 + volumeMounts: + - name: models + mountPath: /models + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_name=gemma + - --cache_dir=/models/.ov_cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + # No liveness probe: compiling a model for a GPU takes minutes. + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: "1" + memory: 36Gi + limits: + memory: 36Gi + volumeMounts: + - name: models + mountPath: /models + volumes: + - name: models + persistentVolumeClaim: + claimName: ovms-models +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h57d/results/2026-10-29/hold1/Od/boot.json b/bench/h57d/results/2026-10-29/hold1/Od/boot.json new file mode 100644 index 00000000..5ab788a3 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/boot.json @@ -0,0 +1 @@ +{"apply": 1793303037, "ready": 1793303096, "boot_s": 59, "limit_s": 900} diff --git a/bench/h57d/results/2026-10-29/hold1/Od/cpus.txt b/bench/h57d/results/2026-10-29/hold1/Od/cpus.txt new file mode 100644 index 00000000..4c81e363 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/cpus.txt @@ -0,0 +1,5 @@ +cpuset 0-15,17-31 +Cpus_allowed_list: 0-15,17-31 +avx512f 0 amx 0 nproc 31 +server threads by affinity: + 234 0-15,17-31 diff --git a/bench/h57d/results/2026-10-29/hold1/Od/deploy.yaml b/bench/h57d/results/2026-10-29/hold1/Od/deploy.yaml new file mode 100644 index 00000000..a5907938 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/deploy.yaml @@ -0,0 +1,81 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 6x131072 + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_name=gemma + - --cache_dir=/ov-cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: '1' + memory: 36Gi + limits: + memory: 36Gi + volumeMounts: + - name: models + mountPath: /models + readOnly: true + - name: ov-cache + mountPath: /ov-cache + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory + - name: ov-cache + emptyDir: {} +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h57d/results/2026-10-29/hold1/Od/describe.txt b/bench/h57d/results/2026-10-29/hold1/Od/describe.txt new file mode 100644 index 00000000..44e279fb --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/describe.txt @@ -0,0 +1,79 @@ +Name: ovms-7d48dbb75d-c7h49 +Namespace: k3d-gpu-agent +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-d-h57d-1-server-0/172.20.0.2 +Start Time: Thu, 29 Oct 2026 12:43:57 -0700 +Labels: app=ovms + pod-template-hash=7d48dbb75d +Annotations: k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 6x131072 +Status: Running +IP: 10.42.0.11 +IPs: + IP: 10.42.0.11 +Controlled By: ReplicaSet/ovms-7d48dbb75d +Containers: + ovms: + Container ID: containerd://41da4e54de6f16e7f6f33e3e8d1e5745c9991433ee57d3f9043d2bff45028147 + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: 8000/TCP (http) + Host Port: 0/TCP (http) + Args: + --rest_port=8000 + --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + --model_name=gemma + --cache_dir=/ov-cache + --log_level=INFO + State: Running + Started: Thu, 29 Oct 2026 12:44:09 -0700 + Ready: True + Restart Count: 0 + Limits: + memory: 36Gi + Requests: + cpu: 1 + memory: 36Gi + Readiness: http-get http://:http/v2/health/ready delay=0s timeout=1s period=5s #success=1 #failure=3 + Environment: + Mounts: + /models from models (ro) + /ov-cache from ov-cache (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-6ggwh (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + ov-cache: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + kube-api-access-6ggwh: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 12m default-scheduler Successfully assigned k3d-gpu-agent/ovms-7d48dbb75d-c7h49 to k3d-k3dgpu-d-h57d-1-server-0 + Normal Pulling 12m kubelet spec.containers{ovms}: Pulling image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" + Normal Pulled 12m kubelet spec.containers{ovms}: Successfully pulled image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" in 10.6s (10.6s including waiting). Image size: 404902607 bytes. + Normal Created 12m kubelet spec.containers{ovms}: Container created + Normal Started 12m kubelet spec.containers{ovms}: Container started + Warning Unhealthy 12m kubelet spec.containers{ovms}: Readiness probe failed: Get "http://10.42.0.11:8000/v2/health/ready": dial tcp 10.42.0.11:8000: connect: connection refused + Warning Unhealthy 11m (x9 over 12m) kubelet spec.containers{ovms}: Readiness probe failed: HTTP probe failed with statuscode: 503 diff --git a/bench/h57d/results/2026-10-29/hold1/Od/energy-idle.json b/bench/h57d/results/2026-10-29/hold1/Od/energy-idle.json new file mode 100644 index 00000000..4ceeeb8c --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/energy-idle.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5179.397,"seconds":60.004,"avg_watts":86.317,"command_seconds":60.001,"energy_uj":5179397324,"max_energy_range_uj":262143328850,"samples":13,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Od/energy-n1.json b/bench/h57d/results/2026-10-29/hold1/Od/energy-n1.json new file mode 100644 index 00000000..779bf05f --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/energy-n1.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":20456.095,"seconds":223.257,"avg_watts":91.626,"command_seconds":223.244,"energy_uj":20456094971,"max_energy_range_uj":262143328850,"samples":46,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Od/energy-n4.json b/bench/h57d/results/2026-10-29/hold1/Od/energy-n4.json new file mode 100644 index 00000000..e07eeeef --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/energy-n4.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":21711.161,"seconds":222.523,"avg_watts":97.568,"command_seconds":222.514,"energy_uj":21711161277,"max_energy_range_uj":262143328850,"samples":46,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Od/energy-ttft.json b/bench/h57d/results/2026-10-29/hold1/Od/energy-ttft.json new file mode 100644 index 00000000..957aed1c --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/energy-ttft.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":11958.095,"seconds":111.164,"avg_watts":107.571,"command_seconds":111.161,"energy_uj":11958095241,"max_energy_range_uj":262143328850,"samples":24,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Od/energy-warmup.json b/bench/h57d/results/2026-10-29/hold1/Od/energy-warmup.json new file mode 100644 index 00000000..b0b96de4 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/energy-warmup.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":7910.523,"seconds":85.362,"avg_watts":92.671,"command_seconds":85.350,"energy_uj":7910523450,"max_energy_range_uj":262143328850,"samples":19,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold1/Od/hello.json b/bench/h57d/results/2026-10-29/hold1/Od/hello.json new file mode 100644 index 00000000..685ad857 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Hello! How can I help you today?","role":"assistant","tool_calls":[]}}],"created":1793303091,"model":"gemma","object":"chat.completion","usage":{"prompt_tokens":16,"completion_tokens":10,"total_tokens":26}} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold1/Od/image.txt b/bench/h57d/results/2026-10-29/hold1/Od/image.txt new file mode 100644 index 00000000..5521c2bd --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/image.txt @@ -0,0 +1 @@ +openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold1/Od/load-n1.json b/bench/h57d/results/2026-10-29/hold1/Od/load-n1.json new file mode 100644 index 00000000..26d2e1fc --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/load-n1.json @@ -0,0 +1,216 @@ +{ + "tool": "k3d-gpu/bench/llm_load.py", + 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A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 2. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 3. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 4. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 5. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 6. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 7. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 8. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. 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"tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "emptyDir": {}, + "name": "ov-cache" + }, + { + "name": "kube-api-access-6ggwh", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "allocatedResources": { + "cpu": "1", + "memory": "36Gi" + }, + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:58Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:57Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:44:54Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:44:54Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T19:43:57Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "allocatedResources": { + "cpu": "1", + "memory": "36Gi" + }, + "containerID": "containerd://41da4e54de6f16e7f6f33e3e8d1e5745c9991433ee57d3f9043d2bff45028147", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "ovms", + "ready": true, + "resources": { + "limits": { + "memory": "36Gi" + }, + "requests": { + "cpu": "1", + "memory": "36Gi" + } + }, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T19:44:09Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/ov-cache", + "name": "ov-cache" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-6ggwh", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.20.0.2", + "hostIPs": [ + { + "ip": "172.20.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.11", + "podIPs": [ + { + "ip": "10.42.0.11" + } + ], + "qosClass": "Burstable", + "resources": { + "limits": { + "memory": "36Gi" + }, + "requests": { + "cpu": "975m", + "memory": "36Gi" + } + }, + "startTime": "2026-10-29T19:43:57Z" + } +} diff --git a/bench/h57d/results/2026-10-29/hold1/Od/pods.txt b/bench/h57d/results/2026-10-29/hold1/Od/pods.txt new file mode 100644 index 00000000..f6d527eb --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/pods.txt @@ -0,0 +1,10 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +k3d-gpu-agent ovms-7d48dbb75d-c7h49 1/1 Running 0 59s 10.42.0.11 k3d-k3dgpu-d-h57d-1-server-0 +kube-system coredns-577d995dff-9lwps 1/1 Running 0 11m 10.42.0.3 k3d-k3dgpu-d-h57d-1-server-0 +kube-system helm-install-gateway-api-crd-2vvkw 0/1 Completed 0 11m 10.42.0.5 k3d-k3dgpu-d-h57d-1-server-0 +kube-system local-path-provisioner-6858d854cf-wm2hf 1/1 Running 0 11m 10.42.0.6 k3d-k3dgpu-d-h57d-1-server-0 +kube-system metrics-server-778c4649b4-h9gqw 1/1 Running 0 11m 10.42.0.2 k3d-k3dgpu-d-h57d-1-server-0 +kube-system nri-resource-policy-balloons-6mtbz 1/1 Running 0 11m 10.42.0.9 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-gc-7d6955597d-qkqsd 1/1 Running 0 11m 10.42.0.7 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-master-74b6cfb7df-mmvlz 1/1 Running 0 11m 10.42.0.4 k3d-k3dgpu-d-h57d-1-server-0 +node-feature-discovery nfd-worker-vjnmf 1/1 Running 0 11m 10.42.0.8 k3d-k3dgpu-d-h57d-1-server-0 diff --git a/bench/h57d/results/2026-10-29/hold1/Od/staged.yaml b/bench/h57d/results/2026-10-29/hold1/Od/staged.yaml new file mode 100644 index 00000000..58ed1b22 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/staged.yaml @@ -0,0 +1,92 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 6x131072 + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + initContainers: + - name: pull + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --pull + - --source_model=OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_repository_path=/models + - --model_name=gemma + - --task=text_generation + - --target_device=CPU + - --max_num_seqs=6 + - --cache_size=16 + volumeMounts: + - name: models + mountPath: /models + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_name=gemma + - --cache_dir=/models/.ov_cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: '1' + memory: 36Gi + limits: + memory: 36Gi + volumeMounts: + - name: models + mountPath: /models + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h57d/results/2026-10-29/hold1/Od/status.json b/bench/h57d/results/2026-10-29/hold1/Od/status.json new file mode 100644 index 00000000..676ab879 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/Od/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "perf phases recorded", "at": "2026-10-29T19:56:40Z"} \ No 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+ "feature.node.kubernetes.io/cpu-cpuid.FMA3": "true", + "feature.node.kubernetes.io/cpu-cpuid.FSRM": "true", + "feature.node.kubernetes.io/cpu-cpuid.FXSR": "true", + "feature.node.kubernetes.io/cpu-cpuid.FXSROPT": "true", + "feature.node.kubernetes.io/cpu-cpuid.GFNI": "true", + "feature.node.kubernetes.io/cpu-cpuid.HRESET": "true", + "feature.node.kubernetes.io/cpu-cpuid.HYBRID_CPU": "true", + "feature.node.kubernetes.io/cpu-cpuid.IA32_ARCH_CAP": "true", + "feature.node.kubernetes.io/cpu-cpuid.IA32_CORE_CAP": "true", + "feature.node.kubernetes.io/cpu-cpuid.IBPB": "true", + "feature.node.kubernetes.io/cpu-cpuid.IDPRED_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.KEYLOCKER": "true", + "feature.node.kubernetes.io/cpu-cpuid.LAHF": "true", + "feature.node.kubernetes.io/cpu-cpuid.MD_CLEAR": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVBE": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVDIR64B": "true", + "feature.node.kubernetes.io/cpu-cpuid.MOVDIRI": "true", + "feature.node.kubernetes.io/cpu-cpuid.OSXSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.PCONFIG": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_CYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_INSTRUCTIONS": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_REFCYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PSFD": "true", + "feature.node.kubernetes.io/cpu-cpuid.RRSBA_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SERIALIZE": "true", + "feature.node.kubernetes.io/cpu-cpuid.SHA": "true", + "feature.node.kubernetes.io/cpu-cpuid.SPEC_CTRL_SSBD": "true", + "feature.node.kubernetes.io/cpu-cpuid.STIBP": "true", + "feature.node.kubernetes.io/cpu-cpuid.STOSB_SHORT": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSCALL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSEE": "true", + "feature.node.kubernetes.io/cpu-cpuid.TME": "true", + "feature.node.kubernetes.io/cpu-cpuid.VAES": "true", + "feature.node.kubernetes.io/cpu-cpuid.VMX": "true", + "feature.node.kubernetes.io/cpu-cpuid.VPCLMULQDQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.WAITPKG": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V1": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V2": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V3": "true", + "feature.node.kubernetes.io/cpu-cpuid.X87": "true", + "feature.node.kubernetes.io/cpu-cpuid.XGETBV1": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEC": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEOPT": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVES": "true", + "feature.node.kubernetes.io/cpu-cstate.enabled": "true", + "feature.node.kubernetes.io/cpu-hardware_multithreading": "true", + "feature.node.kubernetes.io/cpu-model.family": "6", + "feature.node.kubernetes.io/cpu-model.hypervisor": "none", + "feature.node.kubernetes.io/cpu-model.id": "183", + "feature.node.kubernetes.io/cpu-model.vendor_id": "Intel", + "feature.node.kubernetes.io/cpu-pstate.scaling_governor": "powersave", + "feature.node.kubernetes.io/cpu-pstate.status": "active", + "feature.node.kubernetes.io/cpu-pstate.turbo": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ_FULL": "true", + "feature.node.kubernetes.io/kernel-config.PREEMPT": "true", + "feature.node.kubernetes.io/kernel-version.full": "6.6.128-1-MANJARO", + "feature.node.kubernetes.io/kernel-version.major": "6", + "feature.node.kubernetes.io/kernel-version.minor": "6", + "feature.node.kubernetes.io/kernel-version.revision": "128", + "feature.node.kubernetes.io/memory-swap": "true", + "feature.node.kubernetes.io/pci-0300_10de.present": "true", + "feature.node.kubernetes.io/pci-0380_8086.present": "true", + "feature.node.kubernetes.io/pci-0380_8086.sriov.capable": "true", + "feature.node.kubernetes.io/storage-nonrotationaldisk": "true", + "feature.node.kubernetes.io/system-os_release.ID": "manjaro", + "gpu.intel.com/device-id.0380-a780.count": "1", + "gpu.intel.com/device-id.0380-a780.present": "true", + "intel.feature.node.kubernetes.io/gpu": "true", + "k3d-gpu.io/hybrid-cpu": "true", + "kubernetes.io/arch": "amd64", + "kubernetes.io/hostname": "k3d-k3dgpu-d-h57d-1-server-0", + "kubernetes.io/os": "linux", + "node-role.kubernetes.io/control-plane": "true", + "node.kubernetes.io/instance-type": "k3s", + "nvidia.com/gpu.present": "false" + }, + "name": "k3d-k3dgpu-d-h57d-1-server-0", + "resourceVersion": "692", + "uid": "d82124e5-064f-47a5-bd49-48af32006267" + }, + "spec": { + "podCIDR": "10.42.0.0/24", + "podCIDRs": [ + "10.42.0.0/24" + ], + "providerID": "k3s://k3d-k3dgpu-d-h57d-1-server-0" + }, + "status": { + "addresses": [ + { + "address": "172.20.0.2", + "type": "InternalIP" + }, + { + "address": "k3d-k3dgpu-d-h57d-1-server-0", + "type": "Hostname" + } + ], + "allocatable": { + "cpu": "32", + "ephemeral-storage": "1751985579691", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "131419028Ki", + "pods": "110" + }, + "capacity": { + "cpu": "32", + "ephemeral-storage": "1769682403328", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "131521428Ki", + "pods": "110" + }, + "conditions": [ + { + "lastHeartbeatTime": "2026-10-29T19:33:36Z", + "lastTransitionTime": "2026-10-29T19:33:26Z", + "message": "kubelet has sufficient memory available", + "reason": "KubeletHasSufficientMemory", + "status": "False", + "type": "MemoryPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T19:33:36Z", + "lastTransitionTime": "2026-10-29T19:33:26Z", + "message": "kubelet has no disk pressure", + "reason": "KubeletHasNoDiskPressure", + "status": "False", + "type": "DiskPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T19:33:36Z", + "lastTransitionTime": "2026-10-29T19:33:26Z", + "message": "kubelet has sufficient PID available", + "reason": "KubeletHasSufficientPID", + "status": "False", + "type": "PIDPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T19:33:36Z", + "lastTransitionTime": "2026-10-29T19:33:26Z", + "message": "kubelet is posting ready status", + "reason": "KubeletReady", + "status": "True", + "type": "Ready" + } + ], + "daemonEndpoints": { + "kubeletEndpoint": { + "Port": 10250 + } + }, + "declaredFeatures": [ + "ExtendWebSocketsToKubelet", + "InPlacePodLevelResourcesVerticalScaling", + "InPlacePodVerticalScalingInitContainers", + "RestartAllContainersOnContainerExits" + ], + "features": { + "supplementalGroupsPolicy": true + }, + "nodeInfo": { + "architecture": "amd64", + "bootID": "16de0253-9425-4d16-aa00-edc795a2c2e8", + "containerRuntimeVersion": "containerd://2.3.4-k3s1", + "kernelVersion": "6.6.128-1-MANJARO", + "kubeProxyVersion": "", + "kubeletVersion": "v1.37.1+k3s1", + "machineID": "", + "operatingSystem": "linux", + "osImage": "Ubuntu 26.04.1 LTS", + "runningInUserNamespace": false, + "swap": { + "capacity": 201326587904 + }, + "systemUUID": "a1505b00-cbd3-11ee-b3a0-04d42b2c1900" + }, + "runtimeHandlers": [ + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "nvidia" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "runc" + }, + { + "features": { + "recursiveReadOnlyMounts": false, + "userNamespaces": false + }, + "name": "runhcs-wcow-process" + } + ] + } + } + ], + "kind": "List", + "metadata": { + "resourceVersion": "" + } +} diff --git a/bench/h57d/results/2026-10-29/hold1/post.txt b/bench/h57d/results/2026-10-29/hold1/post.txt new file mode 100644 index 00000000..a6ec00f3 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/post.txt @@ -0,0 +1,18 @@ +2026-10-29T20:07:19Z + 13:07:19 up 37 days, 55 min, 1 user, load average: 19.23, 17.24, 15.36 + total used free shared buff/cache available +Mem: 128438 75170 24541 6665 36440 53268 +Swap: 191999 121999 70000 +%CPU PID USER COMMAND + 266 3659471 andrew gh +52.4 30220 andrew Isolated Web Co +27.4 2465 andrew gnome-shell +21.9 984768 andrew python +20.1 1277607 andrew rustdesk +19.9 2709183 andrew python +11.8 1310572 andrew python +11.7 802234 andrew python +11.6 271068 andrew python + 9.2 678843 andrew claude +/dev/nvme1n1p2 1912336612 1567830040 247291424 87% / +/dev/nvme0n1p2 1728205472 758914700 881429120 47% /home/andrew/docker&models diff --git a/bench/h57d/results/2026-10-29/hold1/pre.txt b/bench/h57d/results/2026-10-29/hold1/pre.txt new file mode 100644 index 00000000..c1ad6c30 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/pre.txt @@ -0,0 +1,18 @@ +2026-10-29T19:33:20Z + 12:33:20 up 37 days, 21 min, 1 user, load average: 8.55, 7.37, 5.79 + total used free shared buff/cache available +Mem: 128438 71646 22146 7574 43567 56792 +Swap: 191999 120041 71958 +%CPU PID USER COMMAND + 400 1550629 andrew ps +93.0 1501195 andrew python3 +51.9 30220 andrew Isolated Web Co +27.4 2465 andrew gnome-shell +24.2 1534703 andrew find +22.0 984768 andrew python +19.9 2709183 andrew python +18.0 1277607 andrew rustdesk +11.7 802234 andrew python +11.7 1310572 andrew python +/dev/nvme1n1p2 1912336612 1564707736 250413728 87% / +/dev/nvme0n1p2 1728205472 753646896 886696924 46% /home/andrew/docker&models diff --git a/bench/h57d/results/2026-10-29/hold1/rc b/bench/h57d/results/2026-10-29/hold1/rc new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/rc @@ -0,0 +1 @@ +0 diff --git a/bench/h57d/results/2026-10-29/hold1/reproduce.txt b/bench/h57d/results/2026-10-29/hold1/reproduce.txt new file mode 100644 index 00000000..aef375b4 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/reproduce.txt @@ -0,0 +1,36 @@ +# H57d Reproduce header, 2026-10-29T19:33:20Z +host: p360ultra +cpu: 13th Gen Intel(R) Core(TM) i9-13900T; 32 CPUs; P = 0-15, E = 16-31 +isa: amx 0 avx512f 0 avx_vnni 32 (CPUs listing each) +microcode: 0x133 +kernel: 6.6.128-1-MANJARO +memory: MemTotal: 131521428 kB; MemAvailable: 58117164 kB; SwapTotal: 196607996 kB; SwapFree: 73689528 kB; +rapl: PL1 117000000 uW, PL2 117000000 uW +governor: powersave; epp: performance +docker: 29.3.0; k3d: k3d version v5.9.0; kubectl: Client Version: v1.35.2 +repo: c4407a2c2ba8d81ba08d5b9f2ac6daef724aee18 0 uncommitted +images: + llamacpp: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + ovms: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 (k3d-gpu agent manifest's pin) + node: cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76 +models (revision, from .pinned-revision; built here, from manifest.json): + google_gemma-4-26B-A4B-it-qat-q4_0-gguf/ google/gemma-4-26B-A4B-it-qat-q4_0-gguf d1c082be9cf3c8a514acf63b8761f4b41935842e + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant 9537141506fe8875b3ed45b264af13580cb29166 + k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant', 'revision': '9537141506fe8875b3ed45b264af13580cb29166'} {'convert-pip-freeze.txt': '20e84d465722370f', 'gemma-4-26B-A4B-it-qat-assistant-bf16.gguf': '033e8562af6a218b', 'gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf': '8eb21d5b7efad6e9'} + OpenVINO/gemma-4-26b-a4b-it-int4-ov/ OpenVINO/gemma-4-26b-a4b-it-int4-ov 4e5885c3f03844f5887982def09708bdc9f53f7a +file sha256: + 3eca3b8f6d7baf218a7dd6bba5fb59a56ee25fe2d567b6f5f589b4f697eca51d google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf hub-lfs-match + c082cc581c3ec90d70285c1a41c81544ff56cbc96650f16c900a280940655801 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/model.safetensors hub-lfs-match + 75a6583c1a418e2bbd79c60d95d28e0f5bf549ad3f2990b5bdb5238c6c2bf70c google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/tokenizer.json hub-lfs-match + 461919bda7b546453e903052588c578e3e94e9e8215b7cec07cb00cb97459d13 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_detokenizer.bin hub-lfs-match + 0f887130aef63545d655ea2addab6168680efe9b6531cbc46c2e2fc599ac8abe OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_language_model.bin hub-lfs-match + 2d8dfbdcc2174aa6223621502dc566d9e881b7c3db3ff2e1e96a65cee7827edb OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_model.bin hub-lfs-match + 57fda7ab0340cda71819a3ecd5f9e52e346260fe840fddcc9c87d3614b5a815b OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_per_layer_model.bin hub-lfs-match + 72cc61385a142c29a1ea37125b9d7a4c5775fe8386a5f6db1dd1108ea5ec1361 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_tokenizer.bin hub-lfs-match + 13c9d8ff37be9592e06e8a9f65e2b047bdc6b24d5bc905c022e4d18996b3c382 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_vision_embeddings_model.bin hub-lfs-match + cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f OpenVINO/gemma-4-26b-a4b-it-int4-ov/tokenizer.json hub-lfs-match +data: gsm8k-test-0-199.jsonl 45e54be2df7426cb; ttft-prompt.txt b10cd3c79003d22e +engine flags (Od in each arm's deploy.yaml): + Ld: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 8 -C 0x5555 --cpu-strict 1 --jinja + Ld-mtp: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 8 -C 0x5555 --cpu-strict 1 --jinja -md /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf --spec-type draft-mtp + Ld-mtp-u: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 8 --jinja -md /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf --spec-type draft-mtp diff --git a/bench/h57d/results/2026-10-29/hold1/wait_s b/bench/h57d/results/2026-10-29/hold1/wait_s new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold1/wait_s @@ -0,0 +1 @@ +0 diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/boot.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/boot.json new file mode 100644 index 00000000..8d0f12ea --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/boot.json @@ -0,0 +1 @@ +{"apply": 1793305111, "ready": 1793305146, "boot_s": 35, "limit_s": 900} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/cpus.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/cpus.txt new file mode 100644 index 00000000..8fc4679f --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/cpus.txt @@ -0,0 +1,5 @@ +cpuset 0-15 +Cpus_allowed_list: 0-15 +avx512f 0 amx 0 nproc 16 +server threads by affinity: + 43 0-15 diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/deploy.yaml b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/deploy.yaml new file mode 100644 index 00000000..b9f796e7 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/deploy.yaml @@ -0,0 +1,73 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h57d +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ld-mtp-u + namespace: h57d + labels: + app: ld-mtp-u +spec: + replicas: 1 + selector: + matchLabels: + app: ld-mtp-u + template: + metadata: + labels: + app: ld-mtp-u + k3d-gpu.io/cores: performance + spec: + containers: + - name: server + image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + imagePullPolicy: IfNotPresent + args: + - -m + - /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + - --host + - 0.0.0.0 + - --port + - '8080' + - --alias + - gemma + - -t + - '8' + - --jinja + - -md + - /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + - --spec-type + - draft-mtp + ports: + - name: http + containerPort: 8080 + resources: + requests: + cpu: '16' + memory: 6Gi + volumeMounts: + - name: models + mountPath: /models + readOnly: true + terminationGracePeriodSeconds: 30 + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ld-mtp-u + namespace: h57d +spec: + selector: + app: ld-mtp-u + ports: + - name: http + port: 8080 + targetPort: 8080 diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/describe.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/describe.txt new file mode 100644 index 00000000..06559700 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/describe.txt @@ -0,0 +1,78 @@ +Name: ld-mtp-u-86594c5f45-8v2qs +Namespace: h57d +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-d-h57d-2-server-0/172.20.0.2 +Start Time: Thu, 29 Oct 2026 13:18:31 -0700 +Labels: app=ld-mtp-u + k3d-gpu.io/cores=performance + pod-template-hash=86594c5f45 +Annotations: +Status: Running +IP: 10.42.0.11 +IPs: + IP: 10.42.0.11 +Controlled By: ReplicaSet/ld-mtp-u-86594c5f45 +Containers: + server: + Container ID: containerd://26afe79759a6ccf449a26fbe12a0957012c2922dc37febe69d442feaa68f676f + Image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Image ID: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Port: 8080/TCP (http) + Host Port: 0/TCP (http) + Args: + -m + /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + --host + 0.0.0.0 + --port + 8080 + --alias + gemma + -t + 8 + --jinja + -md + /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + --spec-type + draft-mtp + State: Running + Started: Thu, 29 Oct 2026 13:18:32 -0700 + Ready: True + Restart Count: 0 + Requests: + cpu: 16 + memory: 6Gi + Environment: + Mounts: + /models from models (ro) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-swnd8 (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + kube-api-access-swnd8: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 10m default-scheduler Successfully assigned h57d/ld-mtp-u-86594c5f45-8v2qs to k3d-k3dgpu-d-h57d-2-server-0 + Normal Pulled 10m kubelet spec.containers{server}: Container image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" already present on machine and can be accessed by the pod + Normal Created 10m kubelet spec.containers{server}: Container created + Normal Started 10m kubelet spec.containers{server}: Container started diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-idle.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-idle.json new file mode 100644 index 00000000..86189b13 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-idle.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5113.331,"seconds":60.011,"avg_watts":85.206,"command_seconds":60.001,"energy_uj":5113331454,"max_energy_range_uj":262143328850,"samples":13,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-n1.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-n1.json new file mode 100644 index 00000000..d32de52c --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-n1.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":15813.929,"seconds":165.729,"avg_watts":95.421,"command_seconds":165.720,"energy_uj":15813928572,"max_energy_range_uj":262143328850,"samples":35,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-n4.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-n4.json new file mode 100644 index 00000000..4939c515 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-n4.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":20491.820,"seconds":204.785,"avg_watts":100.065,"command_seconds":204.782,"energy_uj":20491820282,"max_energy_range_uj":262143328850,"samples":42,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-ttft.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-ttft.json new file mode 100644 index 00000000..8295b70a --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-ttft.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":8683.884,"seconds":84.923,"avg_watts":102.256,"command_seconds":84.911,"energy_uj":8683883897,"max_energy_range_uj":262143328850,"samples":18,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-warmup.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-warmup.json new file mode 100644 index 00000000..058a559c --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/energy-warmup.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5536.467,"seconds":59.520,"avg_watts":93.018,"command_seconds":59.515,"energy_uj":5536467272,"max_energy_range_uj":262143328850,"samples":13,"exit_code":0} diff --git 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end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/image.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/image.txt new file mode 100644 index 00000000..b00802a6 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/image.txt @@ -0,0 +1 @@ +ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/load-n1.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/load-n1.json new file mode 100644 index 00000000..8c075629 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/load-n1.json @@ -0,0 +1,216 @@ +{ + "tool": "k3d-gpu/bench/llm_load.py", + "schema": 1, + "started_at": "2026-10-29T20:21:07Z", + "config": { + "base_url": "http://127.0.0.1:19593/v1", + "model": "gemma", + "prompt": "Explain in three short 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A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 2. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 3. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 4. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 5. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 6. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 7. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 8. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. 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+ "startedAt": "2026-10-29T20:18:32Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 0 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-swnd8", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.20.0.2", + "hostIPs": [ + { + "ip": "172.20.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.11", + "podIPs": [ + { + "ip": "10.42.0.11" + } + ], + "qosClass": "Burstable", + "resources": { + "requests": { + "cpu": "16", + "memory": "6Gi" + } + }, + "startTime": "2026-10-29T20:18:31Z" + } +} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/pods.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/pods.txt new file mode 100644 index 00000000..82f4c1ab --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/pods.txt @@ -0,0 +1,10 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h57d ld-mtp-u-86594c5f45-8v2qs 1/1 Running 0 35s 10.42.0.11 k3d-k3dgpu-d-h57d-2-server-0 +kube-system coredns-577d995dff-lkxc5 1/1 Running 0 11m 10.42.0.7 k3d-k3dgpu-d-h57d-2-server-0 +kube-system helm-install-gateway-api-crd-kjw9q 0/1 Completed 0 11m 10.42.0.8 k3d-k3dgpu-d-h57d-2-server-0 +kube-system local-path-provisioner-6858d854cf-qlskb 1/1 Running 0 11m 10.42.0.3 k3d-k3dgpu-d-h57d-2-server-0 +kube-system metrics-server-778c4649b4-lrcsp 1/1 Running 0 11m 10.42.0.9 k3d-k3dgpu-d-h57d-2-server-0 +kube-system nri-resource-policy-balloons-b557s 1/1 Running 0 11m 10.42.0.6 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-gc-7d6955597d-rp4sw 1/1 Running 0 11m 10.42.0.5 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-master-74b6cfb7df-hz5gs 1/1 Running 0 11m 10.42.0.4 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-worker-2t6tr 1/1 Running 0 11m 10.42.0.2 k3d-k3dgpu-d-h57d-2-server-0 diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/status.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/status.json new file mode 100644 index 00000000..9a8ebbf2 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp-u/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "perf phases recorded", "at": "2026-10-29T20:28:43Z"} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/boot.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/boot.json new file mode 100644 index 00000000..ec9ccc30 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/boot.json @@ -0,0 +1 @@ +{"apply": 1793304474, "ready": 1793304519, "boot_s": 45, "limit_s": 900} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/cpus.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/cpus.txt new file mode 100644 index 00000000..133c3c39 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/cpus.txt @@ -0,0 +1,13 @@ +cpuset 0-15 +Cpus_allowed_list: 0-15 +avx512f 0 amx 0 nproc 16 +server threads by affinity: + 2 0 + 34 0-15 + 1 10 + 1 12 + 1 14 + 1 2 + 1 4 + 1 6 + 1 8 diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/deploy.yaml b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/deploy.yaml new file mode 100644 index 00000000..ca516551 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/deploy.yaml @@ -0,0 +1,77 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: h57d +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ld-mtp + namespace: h57d + labels: + app: ld-mtp +spec: + replicas: 1 + selector: + matchLabels: + app: ld-mtp + template: + metadata: + labels: + app: ld-mtp + k3d-gpu.io/cores: performance + spec: + containers: + - name: server + image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + imagePullPolicy: IfNotPresent + args: + - -m + - /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + - --host + - 0.0.0.0 + - --port + - '8080' + - --alias + - gemma + - -t + - '8' + - -C + - '0x5555' + - --cpu-strict + - '1' + - --jinja + - -md + - /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + - --spec-type + - draft-mtp + ports: + - name: http + containerPort: 8080 + resources: + requests: + cpu: '16' + memory: 6Gi + volumeMounts: + - name: models + mountPath: /models + readOnly: true + terminationGracePeriodSeconds: 30 + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ld-mtp + namespace: h57d +spec: + selector: + app: ld-mtp + ports: + - name: http + port: 8080 + targetPort: 8080 diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/describe.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/describe.txt new file mode 100644 index 00000000..8e6d3e14 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/describe.txt @@ -0,0 +1,83 @@ +Name: ld-mtp-6d49f9f4d4-f8xs9 +Namespace: h57d +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-d-h57d-2-server-0/172.20.0.2 +Start Time: Thu, 29 Oct 2026 13:07:54 -0700 +Labels: app=ld-mtp + k3d-gpu.io/cores=performance + pod-template-hash=6d49f9f4d4 +Annotations: +Status: Running +IP: 10.42.0.10 +IPs: + IP: 10.42.0.10 +Controlled By: ReplicaSet/ld-mtp-6d49f9f4d4 +Containers: + server: + Container ID: containerd://ce814db5fb2558fcde2de7f10ce7ed5fdf3eafe1f83e9b4f60da8ecf6f2eab67 + Image: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Image ID: ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + Port: 8080/TCP (http) + Host Port: 0/TCP (http) + Args: + -m + /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf + --host + 0.0.0.0 + --port + 8080 + --alias + gemma + -t + 8 + -C + 0x5555 + --cpu-strict + 1 + --jinja + -md + /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf + --spec-type + draft-mtp + State: Running + Started: Thu, 29 Oct 2026 13:08:10 -0700 + Ready: True + Restart Count: 0 + Requests: + cpu: 16 + memory: 6Gi + Environment: + Mounts: + /models from models (ro) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-52km5 (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + kube-api-access-52km5: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 10m default-scheduler Successfully assigned h57d/ld-mtp-6d49f9f4d4-f8xs9 to k3d-k3dgpu-d-h57d-2-server-0 + Normal Pulling 10m kubelet spec.containers{server}: Pulling image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" + Normal Pulled 10m kubelet spec.containers{server}: Successfully pulled image "ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312" in 15.587s (15.587s including waiting). Image size: 309412002 bytes. + Normal Created 10m kubelet spec.containers{server}: Container created + Normal Started 10m kubelet spec.containers{server}: Container started diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-idle.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-idle.json new file mode 100644 index 00000000..07c92462 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-idle.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5264.728,"seconds":60.019,"avg_watts":87.718,"command_seconds":60.001,"energy_uj":5264727977,"max_energy_range_uj":262143328850,"samples":13,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-n1.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-n1.json new file mode 100644 index 00000000..c748fd7f --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-n1.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":17353.894,"seconds":181.722,"avg_watts":95.497,"command_seconds":181.718,"energy_uj":17353893867,"max_energy_range_uj":262143328850,"samples":38,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-n4.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-n4.json new file mode 100644 index 00000000..a024b909 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-n4.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":19735.918,"seconds":199.928,"avg_watts":98.715,"command_seconds":199.924,"energy_uj":19735917555,"max_energy_range_uj":262143328850,"samples":41,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-ttft.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-ttft.json new file mode 100644 index 00000000..e05741d1 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-ttft.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":7319.818,"seconds":70.103,"avg_watts":104.416,"command_seconds":70.097,"energy_uj":7319817504,"max_energy_range_uj":262143328850,"samples":16,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-warmup.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-warmup.json new file mode 100644 index 00000000..dfa3e3af --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/energy-warmup.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5856.593,"seconds":61.598,"avg_watts":95.077,"command_seconds":61.583,"energy_uj":5856592551,"max_energy_range_uj":262143328850,"samples":14,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/hello.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/hello.json new file mode 100644 index 00000000..d65baa0d --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"length","index":0,"message":{"role":"assistant","content":"","reasoning_content":"The user said \"Say hello.\"\nThe user wants a greeting"}}],"created":1793304519,"model":"gemma","system_fingerprint":"b11749-1d88cb05f","object":"chat.completion","usage":{"completion_tokens":16,"prompt_tokens":19,"total_tokens":35,"prompt_tokens_details":{"cached_tokens":0}},"id":"chatcmpl-Uz0xIvP3YDvv8jZrxaYU4wB74ZnV1jvv","timings":{"cache_n":0,"prompt_n":19,"prompt_ms":546.295,"prompt_per_token_ms":28.75236842105263,"prompt_per_second":34.779743545154176,"predicted_n":16,"predicted_ms":995.805,"predicted_per_token_ms":66.387,"predicted_per_second":15.06319008239565,"draft_n":13,"draft_n_accepted":10}} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/image.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/image.txt new file mode 100644 index 00000000..b00802a6 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/image.txt @@ -0,0 +1 @@ +ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 ghcr.io/ggml-org/llama.cpp@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/load-n1.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/load-n1.json new file mode 100644 index 00000000..cca1515c --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/load-n1.json @@ -0,0 +1,216 @@ +{ + "tool": "k3d-gpu/bench/llm_load.py", + "schema": 1, + "started_at": "2026-10-29T20:10:43Z", + "config": { + "base_url": "http://127.0.0.1:19623/v1", + "model": "gemma", + "prompt": "Explain in three short paragraphs how a CPU cache hierarchy reduces memory latency, and what a cache miss costs.", + "max_tokens": 256, + "temperature": 0.0, + "ignore_eos": true, + "extra_body": null, + "unique_prompts": true, + "requests": 8, + "concurrency": "1", + "warmup": 0, + "timeout": 1800.0, + "label": "H57d Ld-mtp n1", + "out": "/home/andrew/k3dgpu-h57d/results/H57dp/hold2/Ld-mtp/load-n1.json", + "run_id": "30eed87a" + }, + "phases": [ + { + "concurrency": 1, + "requests": 8, + "ok": 8, + "errors": 0, + "wall_s": 181.63413621624932, + "output_tokens_total": 2048, + "aggregate_tokens_per_s": 11.275413546502621, + "requests_per_s": 0.044044584166025864, + "stats": { + "first_chunk_s": { + "n": 8, + "median": 1.0471152688842267, + "p90": 1.1773177101276815, + "min": 0.9647683808580041, + "max": 1.1773177101276815 + }, + "ttft_s": { + "n": 8, + "median": 1.3084962794091552, + "p90": 1.4782125730998814, + "min": 1.1746132778935134, + "max": 1.4782125730998814 + }, + "latency_s": { + "n": 8, + "median": 22.53283903701231, + "p90": 24.25273866392672, + "min": 20.97546648606658, + "max": 24.25273866392672 + }, + "output_tokens": { + "n": 8, + "median": 256.0, + "p90": 256, + "min": 256, + "max": 256 + }, + "tokens_per_s": { + "n": 8, + "median": 11.361219671569511, + 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b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/load-ttft.json new file mode 100644 index 00000000..0bd86df7 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/load-ttft.json @@ -0,0 +1,148 @@ +{ + "tool": "k3d-gpu/bench/llm_load.py", + "schema": 1, + "started_at": "2026-10-29T20:17:05Z", + "config": { + "base_url": "http://127.0.0.1:19623/v1", + "model": "gemma", + "prompt": "Section 1. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 2. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 3. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 4. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 5. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 6. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 7. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 8. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. 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+{"models":[{"name":"gemma","model":"gemma","modified_at":"","size":"","digest":"","type":"model","description":"","tags":[""],"capabilities":["completion"],"parameters":"","details":{"parent_model":"","format":"gguf","family":"","families":[""],"parameter_size":"","quantization_level":""}}],"object":"list","data":[{"id":"gemma","aliases":["gemma"],"tags":[],"object":"model","architecture":{"input_modalities":["text"],"output_modalities":["text"]},"created":1793304518,"owned_by":"llamacpp","meta":{"vocab_type":2,"n_vocab":262144,"n_ctx":262144,"n_ctx_train":262144,"n_embd":2816,"n_params":25233142046,"size":14423538808,"ftype":"Q4_0"}}]} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/phases.jsonl b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/phases.jsonl new file mode 100644 index 00000000..9e1fbe59 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/phases.jsonl @@ -0,0 +1,5 @@ +{"phase": "idle", "t0": 1793304520.271797459, "t1": 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{ + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "name": "kube-api-access-52km5", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "allocatedResources": { + "cpu": "16", + "memory": "6Gi" + }, + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:07:55Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:07:54Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + 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+ "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T20:08:10Z" + } + }, + "user": { + "linux": { + "gid": 0, + "supplementalGroups": [ + 0 + ], + "uid": 0 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-52km5", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.20.0.2", + "hostIPs": [ + { + "ip": "172.20.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.10", + "podIPs": [ + { + "ip": "10.42.0.10" + } + ], + "qosClass": "Burstable", + "resources": { + "requests": { + "cpu": "16", + "memory": "6Gi" + } + }, + "startTime": "2026-10-29T20:07:54Z" + } +} diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/pods.txt b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/pods.txt new file mode 100644 index 00000000..16d9c7ca --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/pods.txt @@ -0,0 +1,10 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +h57d ld-mtp-6d49f9f4d4-f8xs9 1/1 Running 0 45s 10.42.0.10 k3d-k3dgpu-d-h57d-2-server-0 +kube-system coredns-577d995dff-lkxc5 1/1 Running 0 66s 10.42.0.7 k3d-k3dgpu-d-h57d-2-server-0 +kube-system helm-install-gateway-api-crd-kjw9q 0/1 Completed 0 66s 10.42.0.8 k3d-k3dgpu-d-h57d-2-server-0 +kube-system local-path-provisioner-6858d854cf-qlskb 1/1 Running 0 66s 10.42.0.3 k3d-k3dgpu-d-h57d-2-server-0 +kube-system metrics-server-778c4649b4-lrcsp 1/1 Running 0 66s 10.42.0.9 k3d-k3dgpu-d-h57d-2-server-0 +kube-system nri-resource-policy-balloons-b557s 1/1 Running 0 66s 10.42.0.6 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-gc-7d6955597d-rp4sw 1/1 Running 0 66s 10.42.0.5 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-master-74b6cfb7df-hz5gs 1/1 Running 0 66s 10.42.0.4 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-worker-2t6tr 1/1 Running 0 66s 10.42.0.2 k3d-k3dgpu-d-h57d-2-server-0 diff --git a/bench/h57d/results/2026-10-29/hold2/Ld-mtp/status.json b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/status.json new file mode 100644 index 00000000..f32b30a9 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Ld-mtp/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "perf phases recorded", "at": "2026-10-29T20:18:15Z"} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Od/agent.err b/bench/h57d/results/2026-10-29/hold2/Od/agent.err new file mode 100644 index 00000000..44161737 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/agent.err @@ -0,0 +1,2 @@ +==> fit: OpenVINO/gemma-4-26b-a4b-it-int4-ov on CPU (AVX2) via ovms, context 131072 x 7 seqs, host 35.1 GiB (pod limit 39Gi), host reserve 12.5 GiB +==> agent: OpenVINO/gemma-4-26b-a4b-it-int4-ov as 'gemma' on CPU, 1 CPU(s) diff --git a/bench/h57d/results/2026-10-29/hold2/Od/agent.yaml b/bench/h57d/results/2026-10-29/hold2/Od/agent.yaml new file mode 100644 index 00000000..ed7c5601 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/agent.yaml @@ -0,0 +1,107 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +# Models and the compiled-model cache live here, so restarts never re-download. +apiVersion: v1 +kind: PersistentVolumeClaim +metadata: + name: ovms-models + namespace: k3d-gpu-agent +spec: + accessModes: [ReadWriteOnce] + resources: + requests: + storage: 20Gi +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: "cpu 7x131072" + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + initContainers: + # --pull downloads the model once and writes its graph.pbtxt (device, + # parsers). On later starts the files are already there and only the + # graph is rewritten, so a device change takes effect with no download. + - name: pull + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --pull + - --source_model=OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_repository_path=/models + - --model_name=gemma + - --task=text_generation + - --target_device=CPU + - --max_num_seqs=7 + - --cache_size=18 + volumeMounts: + - name: models + mountPath: /models + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_name=gemma + - --cache_dir=/models/.ov_cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + # No liveness probe: compiling a model for a GPU takes minutes. + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: "1" + memory: 39Gi + limits: + memory: 39Gi + volumeMounts: + - name: models + mountPath: /models + volumes: + - name: models + persistentVolumeClaim: + claimName: ovms-models +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h57d/results/2026-10-29/hold2/Od/boot.json b/bench/h57d/results/2026-10-29/hold2/Od/boot.json new file mode 100644 index 00000000..561f3456 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/boot.json @@ -0,0 +1 @@ +{"apply": 1793305742, "ready": 1793305799, "boot_s": 57, "limit_s": 900} diff --git a/bench/h57d/results/2026-10-29/hold2/Od/cpus.txt b/bench/h57d/results/2026-10-29/hold2/Od/cpus.txt new file mode 100644 index 00000000..4c81e363 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/cpus.txt @@ -0,0 +1,5 @@ +cpuset 0-15,17-31 +Cpus_allowed_list: 0-15,17-31 +avx512f 0 amx 0 nproc 31 +server threads by affinity: + 234 0-15,17-31 diff --git a/bench/h57d/results/2026-10-29/hold2/Od/deploy.yaml b/bench/h57d/results/2026-10-29/hold2/Od/deploy.yaml new file mode 100644 index 00000000..43251183 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/deploy.yaml @@ -0,0 +1,81 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 7x131072 + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_name=gemma + - --cache_dir=/ov-cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: '1' + memory: 39Gi + limits: + memory: 39Gi + volumeMounts: + - name: models + mountPath: /models + readOnly: true + - name: ov-cache + mountPath: /ov-cache + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory + - name: ov-cache + emptyDir: {} +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h57d/results/2026-10-29/hold2/Od/describe.txt b/bench/h57d/results/2026-10-29/hold2/Od/describe.txt new file mode 100644 index 00000000..683d8f63 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/describe.txt @@ -0,0 +1,79 @@ +Name: ovms-6cbbfc69d7-pgs5g +Namespace: k3d-gpu-agent +Priority: 0 +Service Account: default +Node: k3d-k3dgpu-d-h57d-2-server-0/172.20.0.2 +Start Time: Thu, 29 Oct 2026 13:29:02 -0700 +Labels: app=ovms + pod-template-hash=6cbbfc69d7 +Annotations: k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 7x131072 +Status: Running +IP: 10.42.0.12 +IPs: + IP: 10.42.0.12 +Controlled By: ReplicaSet/ovms-6cbbfc69d7 +Containers: + ovms: + Container ID: containerd://d0c34cad67a639db179e4ea4e4203eb1893d5c8295a1631103e80dea2df9fdbe + Image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Image ID: docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + Port: 8000/TCP (http) + Host Port: 0/TCP (http) + Args: + --rest_port=8000 + --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + --model_name=gemma + --cache_dir=/ov-cache + --log_level=INFO + State: Running + Started: Thu, 29 Oct 2026 13:29:16 -0700 + Ready: True + Restart Count: 0 + Limits: + memory: 39Gi + Requests: + cpu: 1 + memory: 39Gi + Readiness: http-get http://:http/v2/health/ready delay=0s timeout=1s period=5s #success=1 #failure=3 + Environment: + Mounts: + /models from models (ro) + /ov-cache from ov-cache (rw) + /var/run/secrets/kubernetes.io/serviceaccount from kube-api-access-44p65 (ro) +Conditions: + Type Status + PodReadyToStartContainers True + Initialized True + Ready True + ContainersReady True + PodScheduled True +Volumes: + models: + Type: HostPath (bare host directory volume) + Path: /var/apb-models + HostPathType: Directory + ov-cache: + Type: EmptyDir (a temporary directory that shares a pod's lifetime) + Medium: + SizeLimit: + kube-api-access-44p65: + Type: Projected (a volume that contains injected data from multiple sources) + TokenExpirationSeconds: 3607 + ConfigMapName: kube-root-ca.crt + Optional: false + DownwardAPI: true +QoS Class: Burstable +Node-Selectors: +Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s + node.kubernetes.io/unreachable:NoExecute op=Exists for 300s +Events: + Type Reason Age From Message + ---- ------ ---- ---- ------- + Normal Scheduled 12m default-scheduler Successfully assigned k3d-gpu-agent/ovms-6cbbfc69d7-pgs5g to k3d-k3dgpu-d-h57d-2-server-0 + Normal Pulling 12m kubelet spec.containers{ovms}: Pulling image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" + Normal Pulled 12m kubelet spec.containers{ovms}: Successfully pulled image "openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58" in 13.06s (13.06s including waiting). Image size: 404902607 bytes. + Normal Created 12m kubelet spec.containers{ovms}: Container created + Normal Started 12m kubelet spec.containers{ovms}: Container started + Warning Unhealthy 12m (x2 over 12m) kubelet spec.containers{ovms}: Readiness probe failed: Get "http://10.42.0.12:8000/v2/health/ready": dial tcp 10.42.0.12:8000: connect: connection refused + Warning Unhealthy 11m (x7 over 12m) kubelet spec.containers{ovms}: Readiness probe failed: HTTP probe failed with statuscode: 503 diff --git a/bench/h57d/results/2026-10-29/hold2/Od/energy-idle.json b/bench/h57d/results/2026-10-29/hold2/Od/energy-idle.json new file mode 100644 index 00000000..119e7653 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/energy-idle.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":5050.067,"seconds":60.006,"avg_watts":84.159,"command_seconds":60.001,"energy_uj":5050067211,"max_energy_range_uj":262143328850,"samples":13,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Od/energy-n1.json b/bench/h57d/results/2026-10-29/hold2/Od/energy-n1.json new file mode 100644 index 00000000..49f25df3 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/energy-n1.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":20069.078,"seconds":219.633,"avg_watts":91.376,"command_seconds":219.621,"energy_uj":20069077957,"max_energy_range_uj":262143328850,"samples":45,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Od/energy-n4.json b/bench/h57d/results/2026-10-29/hold2/Od/energy-n4.json new file mode 100644 index 00000000..43a4b45a --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/energy-n4.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":22028.685,"seconds":225.015,"avg_watts":97.899,"command_seconds":225.001,"energy_uj":22028684757,"max_energy_range_uj":262143328850,"samples":46,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Od/energy-ttft.json b/bench/h57d/results/2026-10-29/hold2/Od/energy-ttft.json new file mode 100644 index 00000000..bf54d096 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/energy-ttft.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":11320.334,"seconds":107.545,"avg_watts":105.261,"command_seconds":107.536,"energy_uj":11320333996,"max_energy_range_uj":262143328850,"samples":23,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Od/energy-warmup.json b/bench/h57d/results/2026-10-29/hold2/Od/energy-warmup.json new file mode 100644 index 00000000..c7f0ec53 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/energy-warmup.json @@ -0,0 +1 @@ +{"zone":"intel-rapl:0","name":"package-0","joules":7583.657,"seconds":83.220,"avg_watts":91.128,"command_seconds":83.213,"energy_uj":7583657465,"max_energy_range_uj":262143328850,"samples":18,"exit_code":0} diff --git a/bench/h57d/results/2026-10-29/hold2/Od/hello.json b/bench/h57d/results/2026-10-29/hold2/Od/hello.json new file mode 100644 index 00000000..1b4025c9 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/hello.json @@ -0,0 +1 @@ +{"choices":[{"finish_reason":"stop","index":0,"logprobs":null,"message":{"content":"Hello! How can I help you today?","role":"assistant","tool_calls":[]}}],"created":1793305796,"model":"gemma","object":"chat.completion","usage":{"prompt_tokens":16,"completion_tokens":10,"total_tokens":26}} \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Od/image.txt b/bench/h57d/results/2026-10-29/hold2/Od/image.txt new file mode 100644 index 00000000..5521c2bd --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/image.txt @@ -0,0 +1 @@ +openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 \ No newline at end of file diff --git a/bench/h57d/results/2026-10-29/hold2/Od/load-n1.json b/bench/h57d/results/2026-10-29/hold2/Od/load-n1.json new file mode 100644 index 00000000..362bbe32 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/load-n1.json @@ -0,0 +1,216 @@ +{ + "tool": "k3d-gpu/bench/llm_load.py", + 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A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 2. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 3. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 4. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 5. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 6. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 7. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. When a load misses in every level, the request goes to the memory controller, which opens a row in a DRAM bank, reads a burst of sixty-four bytes and returns it over the channel. Prefetchers watch the stream of addresses and fetch lines before they are needed, and the out-of-order engine keeps other instructions moving while a miss is pending. Section 8. A processor core reads data through a hierarchy of caches. The level-one cache is small and close to the execution units, the level-two cache is larger and a little slower, and the last-level cache is shared by every core on the die. 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"tolerations": [ + { + "effect": "NoExecute", + "key": "node.kubernetes.io/not-ready", + "operator": "Exists", + "tolerationSeconds": 300 + }, + { + "effect": "NoExecute", + "key": "node.kubernetes.io/unreachable", + "operator": "Exists", + "tolerationSeconds": 300 + } + ], + "volumes": [ + { + "hostPath": { + "path": "/var/apb-models", + "type": "Directory" + }, + "name": "models" + }, + { + "emptyDir": {}, + "name": "ov-cache" + }, + { + "name": "kube-api-access-44p65", + "projected": { + "defaultMode": 420, + "sources": [ + { + "serviceAccountToken": { + "expirationSeconds": 3607, + "path": "token" + } + }, + { + "configMap": { + "items": [ + { + "key": "ca.crt", + "path": "ca.crt" + } + ], + "name": "kube-root-ca.crt" + } + }, + { + "downwardAPI": { + "items": [ + { + "fieldRef": { + "apiVersion": "v1", + "fieldPath": "metadata.namespace" + }, + "path": "namespace" + } + ] + } + } + ] + } + } + ] + }, + "status": { + "allocatedResources": { + "cpu": "1", + "memory": "39Gi" + }, + "conditions": [ + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:29:03Z", + "observedGeneration": 1, + "status": "True", + "type": "PodReadyToStartContainers" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:29:02Z", + "observedGeneration": 1, + "status": "True", + "type": "Initialized" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:29:56Z", + "observedGeneration": 1, + "status": "True", + "type": "Ready" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:29:56Z", + "observedGeneration": 1, + "status": "True", + "type": "ContainersReady" + }, + { + "lastProbeTime": null, + "lastTransitionTime": "2026-10-29T20:29:02Z", + "observedGeneration": 1, + "status": "True", + "type": "PodScheduled" + } + ], + "containerStatuses": [ + { + "allocatedResources": { + "cpu": "1", + "memory": "39Gi" + }, + "containerID": "containerd://d0c34cad67a639db179e4ea4e4203eb1893d5c8295a1631103e80dea2df9fdbe", + "image": "sha256:6348136997e05a7ee2c2b08e47bb15deb6e5096c62ab3fb821907ded7e2afd7c", + "imageID": "docker.io/openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58", + "lastState": {}, + "name": "ovms", + "ready": true, + "resources": { + "limits": { + "memory": "39Gi" + }, + "requests": { + "cpu": "1", + "memory": "39Gi" + } + }, + "restartCount": 0, + "started": true, + "state": { + "running": { + "startedAt": "2026-10-29T20:29:16Z" + } + }, + "user": { + "linux": { + "gid": 5000, + "supplementalGroups": [ + 39, + 44, + 5000 + ], + "uid": 5000 + } + }, + "volumeMounts": [ + { + "mountPath": "/models", + "name": "models", + "readOnly": true, + "recursiveReadOnly": "Disabled" + }, + { + "mountPath": "/ov-cache", + "name": "ov-cache" + }, + { + "mountPath": "/var/run/secrets/kubernetes.io/serviceaccount", + "name": "kube-api-access-44p65", + "readOnly": true, + "recursiveReadOnly": "Disabled" + } + ] + } + ], + "hostIP": "172.20.0.2", + "hostIPs": [ + { + "ip": "172.20.0.2" + } + ], + "observedGeneration": 1, + "phase": "Running", + "podIP": "10.42.0.12", + "podIPs": [ + { + "ip": "10.42.0.12" + } + ], + "qosClass": "Burstable", + "resources": { + "limits": { + "memory": "39Gi" + }, + "requests": { + "cpu": "975m", + "memory": "39Gi" + } + }, + "startTime": "2026-10-29T20:29:02Z" + } +} diff --git a/bench/h57d/results/2026-10-29/hold2/Od/pods.txt b/bench/h57d/results/2026-10-29/hold2/Od/pods.txt new file mode 100644 index 00000000..d5fb6a0a --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/pods.txt @@ -0,0 +1,10 @@ +NAMESPACE NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES +k3d-gpu-agent ovms-6cbbfc69d7-pgs5g 1/1 Running 0 57s 10.42.0.12 k3d-k3dgpu-d-h57d-2-server-0 +kube-system coredns-577d995dff-lkxc5 1/1 Running 0 22m 10.42.0.7 k3d-k3dgpu-d-h57d-2-server-0 +kube-system helm-install-gateway-api-crd-kjw9q 0/1 Completed 0 22m 10.42.0.8 k3d-k3dgpu-d-h57d-2-server-0 +kube-system local-path-provisioner-6858d854cf-qlskb 1/1 Running 0 22m 10.42.0.3 k3d-k3dgpu-d-h57d-2-server-0 +kube-system metrics-server-778c4649b4-lrcsp 1/1 Running 0 22m 10.42.0.9 k3d-k3dgpu-d-h57d-2-server-0 +kube-system nri-resource-policy-balloons-b557s 1/1 Running 0 22m 10.42.0.6 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-gc-7d6955597d-rp4sw 1/1 Running 0 22m 10.42.0.5 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-master-74b6cfb7df-hz5gs 1/1 Running 0 22m 10.42.0.4 k3d-k3dgpu-d-h57d-2-server-0 +node-feature-discovery nfd-worker-2t6tr 1/1 Running 0 22m 10.42.0.2 k3d-k3dgpu-d-h57d-2-server-0 diff --git a/bench/h57d/results/2026-10-29/hold2/Od/staged.yaml b/bench/h57d/results/2026-10-29/hold2/Od/staged.yaml new file mode 100644 index 00000000..95ac8671 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/staged.yaml @@ -0,0 +1,92 @@ +apiVersion: v1 +kind: Namespace +metadata: + name: k3d-gpu-agent +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: ovms + namespace: k3d-gpu-agent + labels: + app: ovms +spec: + replicas: 1 + strategy: + type: Recreate + selector: + matchLabels: + app: ovms + template: + metadata: + labels: + app: ovms + annotations: + k3d-gpu.io/agent-device: CPU + k3d-gpu.io/agent-fit: cpu 7x131072 + spec: + securityContext: + runAsUser: 5000 + runAsGroup: 5000 + fsGroup: 5000 + initContainers: + - name: pull + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --pull + - --source_model=OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_repository_path=/models + - --model_name=gemma + - --task=text_generation + - --target_device=CPU + - --max_num_seqs=7 + - --cache_size=18 + volumeMounts: + - name: models + mountPath: /models + containers: + - name: ovms + image: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 + imagePullPolicy: IfNotPresent + args: + - --rest_port=8000 + - --model_path=/models/OpenVINO/gemma-4-26b-a4b-it-int4-ov + - --model_name=gemma + - --cache_dir=/models/.ov_cache + - --log_level=INFO + ports: + - name: http + containerPort: 8000 + readinessProbe: + httpGet: + path: /v2/health/ready + port: http + periodSeconds: 5 + resources: + requests: + cpu: '1' + memory: 39Gi + limits: + memory: 39Gi + volumeMounts: + - name: models + mountPath: /models + volumes: + - name: models + hostPath: + path: /var/apb-models + type: Directory +--- +apiVersion: v1 +kind: Service +metadata: + name: ovms + namespace: k3d-gpu-agent +spec: + selector: + app: ovms + ports: + - name: http + port: 8000 + targetPort: http diff --git a/bench/h57d/results/2026-10-29/hold2/Od/status.json b/bench/h57d/results/2026-10-29/hold2/Od/status.json new file mode 100644 index 00000000..26ad0614 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/Od/status.json @@ -0,0 +1 @@ +{"status": "measured", "reason": "perf phases recorded", "at": "2026-10-29T20:41:37Z"} \ No 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"feature.node.kubernetes.io/cpu-cpuid.OSXSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.PCONFIG": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_CYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_INSTRUCTIONS": "true", + "feature.node.kubernetes.io/cpu-cpuid.PMU_FIXEDCOUNTER_REFCYCLES": "true", + "feature.node.kubernetes.io/cpu-cpuid.PSFD": "true", + "feature.node.kubernetes.io/cpu-cpuid.RRSBA_CTRL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SERIALIZE": "true", + "feature.node.kubernetes.io/cpu-cpuid.SHA": "true", + "feature.node.kubernetes.io/cpu-cpuid.SPEC_CTRL_SSBD": "true", + "feature.node.kubernetes.io/cpu-cpuid.STIBP": "true", + "feature.node.kubernetes.io/cpu-cpuid.STOSB_SHORT": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSCALL": "true", + "feature.node.kubernetes.io/cpu-cpuid.SYSEE": "true", + "feature.node.kubernetes.io/cpu-cpuid.TME": "true", + "feature.node.kubernetes.io/cpu-cpuid.VAES": "true", + "feature.node.kubernetes.io/cpu-cpuid.VMX": "true", + "feature.node.kubernetes.io/cpu-cpuid.VPCLMULQDQ": "true", + "feature.node.kubernetes.io/cpu-cpuid.WAITPKG": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V1": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V2": "true", + "feature.node.kubernetes.io/cpu-cpuid.X86_64_V3": "true", + "feature.node.kubernetes.io/cpu-cpuid.X87": "true", + "feature.node.kubernetes.io/cpu-cpuid.XGETBV1": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVE": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEC": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVEOPT": "true", + "feature.node.kubernetes.io/cpu-cpuid.XSAVES": "true", + "feature.node.kubernetes.io/cpu-cstate.enabled": "true", + "feature.node.kubernetes.io/cpu-hardware_multithreading": "true", + "feature.node.kubernetes.io/cpu-model.family": "6", + "feature.node.kubernetes.io/cpu-model.hypervisor": "none", + "feature.node.kubernetes.io/cpu-model.id": "183", + "feature.node.kubernetes.io/cpu-model.vendor_id": "Intel", + "feature.node.kubernetes.io/cpu-pstate.scaling_governor": "powersave", + "feature.node.kubernetes.io/cpu-pstate.status": "active", + "feature.node.kubernetes.io/cpu-pstate.turbo": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ": "true", + "feature.node.kubernetes.io/kernel-config.NO_HZ_FULL": "true", + "feature.node.kubernetes.io/kernel-config.PREEMPT": "true", + "feature.node.kubernetes.io/kernel-version.full": "6.6.128-1-MANJARO", + "feature.node.kubernetes.io/kernel-version.major": "6", + "feature.node.kubernetes.io/kernel-version.minor": "6", + "feature.node.kubernetes.io/kernel-version.revision": "128", + "feature.node.kubernetes.io/memory-swap": "true", + "feature.node.kubernetes.io/pci-0300_10de.present": "true", + "feature.node.kubernetes.io/pci-0380_8086.present": "true", + "feature.node.kubernetes.io/pci-0380_8086.sriov.capable": "true", + "feature.node.kubernetes.io/storage-nonrotationaldisk": "true", + "feature.node.kubernetes.io/system-os_release.ID": "manjaro", + "gpu.intel.com/device-id.0380-a780.count": "1", + "gpu.intel.com/device-id.0380-a780.present": "true", + "intel.feature.node.kubernetes.io/gpu": "true", + "k3d-gpu.io/hybrid-cpu": "true", + "kubernetes.io/arch": "amd64", + "kubernetes.io/hostname": "k3d-k3dgpu-d-h57d-2-server-0", + "kubernetes.io/os": "linux", + "node-role.kubernetes.io/control-plane": "true", + "node.kubernetes.io/instance-type": "k3s", + "nvidia.com/gpu.present": "false" + }, + "name": "k3d-k3dgpu-d-h57d-2-server-0", + "resourceVersion": "701", + "uid": "f4972520-a045-46b7-a7c8-fd31659920e3" + }, + "spec": { + "podCIDR": "10.42.0.0/24", + "podCIDRs": [ + "10.42.0.0/24" + ], + "providerID": "k3s://k3d-k3dgpu-d-h57d-2-server-0" + }, + "status": { + "addresses": [ + { + "address": "172.20.0.2", + "type": "InternalIP" + }, + { + "address": "k3d-k3dgpu-d-h57d-2-server-0", + "type": "Hostname" + } + ], + "allocatable": { + "cpu": "32", + "ephemeral-storage": "1751985579691", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "131419028Ki", + "pods": "110" + }, + "capacity": { + "cpu": "32", + "ephemeral-storage": "1769682403328", + "hugepages-1Gi": "0", + "hugepages-2Mi": "0", + "memory": "131521428Ki", + "pods": "110" + }, + "conditions": [ + { + "lastHeartbeatTime": "2026-10-29T20:07:37Z", + "lastTransitionTime": "2026-10-29T20:07:27Z", + "message": "kubelet has sufficient memory available", + "reason": "KubeletHasSufficientMemory", + "status": "False", + "type": "MemoryPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:07:37Z", + "lastTransitionTime": "2026-10-29T20:07:27Z", + "message": "kubelet has no disk pressure", + "reason": "KubeletHasNoDiskPressure", + "status": "False", + "type": "DiskPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:07:37Z", + "lastTransitionTime": "2026-10-29T20:07:27Z", + "message": "kubelet has sufficient PID available", + "reason": "KubeletHasSufficientPID", + "status": "False", + "type": "PIDPressure" + }, + { + "lastHeartbeatTime": "2026-10-29T20:07:37Z", + "lastTransitionTime": "2026-10-29T20:07:27Z", + "message": "kubelet is posting ready status", + "reason": "KubeletReady", + "status": "True", + "type": "Ready" + } + ], + "daemonEndpoints": { + "kubeletEndpoint": { + "Port": 10250 + } + }, + "declaredFeatures": [ + "ExtendWebSocketsToKubelet", + "InPlacePodLevelResourcesVerticalScaling", + "InPlacePodVerticalScalingInitContainers", + "RestartAllContainersOnContainerExits" + ], + "features": { + "supplementalGroupsPolicy": true + }, + "nodeInfo": { + "architecture": "amd64", + "bootID": "16de0253-9425-4d16-aa00-edc795a2c2e8", + "containerRuntimeVersion": "containerd://2.3.4-k3s1", + "kernelVersion": "6.6.128-1-MANJARO", + "kubeProxyVersion": "", + "kubeletVersion": "v1.37.1+k3s1", + "machineID": "", + "operatingSystem": "linux", + "osImage": "Ubuntu 26.04.1 LTS", + "runningInUserNamespace": false, + "swap": { + "capacity": 201326587904 + }, + "systemUUID": "a1505b00-cbd3-11ee-b3a0-04d42b2c1900" + }, + "runtimeHandlers": [ + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "nvidia" + }, + { + "features": { + "recursiveReadOnlyMounts": true, + "userNamespaces": true + }, + "name": "runc" + }, + { + "features": { + "recursiveReadOnlyMounts": false, + "userNamespaces": false + }, + "name": "runhcs-wcow-process" + } + ] + } + } + ], + "kind": "List", + "metadata": { + "resourceVersion": "" + } +} diff --git a/bench/h57d/results/2026-10-29/hold2/post.txt b/bench/h57d/results/2026-10-29/hold2/post.txt new file mode 100644 index 00000000..24739ca8 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/post.txt @@ -0,0 +1,18 @@ +2026-10-29T20:41:54Z + 13:41:54 up 37 days, 1:29, 1 user, load average: 12.43, 15.47, 16.20 + total used free shared buff/cache available +Mem: 128438 65284 32185 11007 43186 63154 +Swap: 191999 111058 80941 +%CPU PID USER COMMAND + 180 1338926 root ps +98.6 653435 andrew python3 +50.0 1338946 root nm-dispatcher +27.4 2465 andrew gnome-shell +22.6 1277607 andrew rustdesk +21.9 984768 andrew python +19.9 2709183 andrew python +11.8 802234 andrew python +11.6 271068 andrew python + 9.7 678843 andrew claude +/dev/nvme1n1p2 1912336612 1570857996 244263468 87% / +/dev/nvme0n1p2 1728205472 760463436 879880384 47% /home/andrew/docker&models diff --git a/bench/h57d/results/2026-10-29/hold2/pre.txt b/bench/h57d/results/2026-10-29/hold2/pre.txt new file mode 100644 index 00000000..38543c4e --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/pre.txt @@ -0,0 +1,18 @@ +2026-10-29T20:07:21Z + 13:07:21 up 37 days, 55 min, 1 user, load average: 19.23, 17.24, 15.36 + total used free shared buff/cache available +Mem: 128438 75111 24483 6665 36556 53327 +Swap: 191999 121990 70009 +%CPU PID USER COMMAND +1000 3661270 andrew ps +52.4 30220 andrew Isolated Web Co +27.4 2465 andrew gnome-shell +21.9 984768 andrew python +20.1 1277607 andrew rustdesk +19.9 2709183 andrew python +11.8 1310572 andrew python +11.7 802234 andrew python +11.6 271068 andrew python + 9.5 3660987 andrew python3 +/dev/nvme1n1p2 1912336612 1567830184 247291280 87% / +/dev/nvme0n1p2 1728205472 758914720 881429100 47% /home/andrew/docker&models diff --git a/bench/h57d/results/2026-10-29/hold2/rc b/bench/h57d/results/2026-10-29/hold2/rc new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/rc @@ -0,0 +1 @@ +0 diff --git a/bench/h57d/results/2026-10-29/hold2/reproduce.txt b/bench/h57d/results/2026-10-29/hold2/reproduce.txt new file mode 100644 index 00000000..ce62fae7 --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/reproduce.txt @@ -0,0 +1,36 @@ +# H57d Reproduce header, 2026-10-29T20:07:21Z +host: p360ultra +cpu: 13th Gen Intel(R) Core(TM) i9-13900T; 32 CPUs; P = 0-15, E = 16-31 +isa: amx 0 avx512f 0 avx_vnni 32 (CPUs listing each) +microcode: 0x133 +kernel: 6.6.128-1-MANJARO +memory: MemTotal: 131521428 kB; MemAvailable: 54599060 kB; SwapTotal: 196607996 kB; SwapFree: 71690716 kB; +rapl: PL1 117000000 uW, PL2 117000000 uW +governor: powersave; epp: performance +docker: 29.3.0; k3d: k3d version v5.9.0; kubectl: Client Version: v1.35.2 +repo: c4407a2c2ba8d81ba08d5b9f2ac6daef724aee18 0 uncommitted +images: + llamacpp: ghcr.io/ggml-org/llama.cpp:server-b11749@sha256:9fbaa06d7f4449e2ae0d02b40e0431f7c212dcf231c9e3a7777a6afc2cc8f312 + ovms: openvino/model_server@sha256:a928903fe429f1e3e27107cc45932d30d95febfd2d1159dc50869c3eac76fc58 (k3d-gpu agent manifest's pin) + node: cryptoandcoffee/k3d-gpu:0.1.63@sha256:b6fc46f60a47948eb1c4e6c5e80059c7f581427429c35a2627c58fc2307e4b76 +models (revision, from .pinned-revision; built here, from manifest.json): + google_gemma-4-26B-A4B-it-qat-q4_0-gguf/ google/gemma-4-26B-A4B-it-qat-q4_0-gguf d1c082be9cf3c8a514acf63b8761f4b41935842e + google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/ google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant 9537141506fe8875b3ed45b264af13580cb29166 + k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/ built here: {'repo': 'google/gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant', 'revision': '9537141506fe8875b3ed45b264af13580cb29166'} {'convert-pip-freeze.txt': '20e84d465722370f', 'gemma-4-26B-A4B-it-qat-assistant-bf16.gguf': '033e8562af6a218b', 'gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf': '8eb21d5b7efad6e9'} + OpenVINO/gemma-4-26b-a4b-it-int4-ov/ OpenVINO/gemma-4-26b-a4b-it-int4-ov 4e5885c3f03844f5887982def09708bdc9f53f7a +file sha256: + 3eca3b8f6d7baf218a7dd6bba5fb59a56ee25fe2d567b6f5f589b4f697eca51d google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf hub-lfs-match + c082cc581c3ec90d70285c1a41c81544ff56cbc96650f16c900a280940655801 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/model.safetensors hub-lfs-match + 75a6583c1a418e2bbd79c60d95d28e0f5bf549ad3f2990b5bdb5238c6c2bf70c google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/tokenizer.json hub-lfs-match + 461919bda7b546453e903052588c578e3e94e9e8215b7cec07cb00cb97459d13 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_detokenizer.bin hub-lfs-match + 0f887130aef63545d655ea2addab6168680efe9b6531cbc46c2e2fc599ac8abe OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_language_model.bin hub-lfs-match + 2d8dfbdcc2174aa6223621502dc566d9e881b7c3db3ff2e1e96a65cee7827edb OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_model.bin hub-lfs-match + 57fda7ab0340cda71819a3ecd5f9e52e346260fe840fddcc9c87d3614b5a815b OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_per_layer_model.bin hub-lfs-match + 72cc61385a142c29a1ea37125b9d7a4c5775fe8386a5f6db1dd1108ea5ec1361 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_tokenizer.bin hub-lfs-match + 13c9d8ff37be9592e06e8a9f65e2b047bdc6b24d5bc905c022e4d18996b3c382 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_vision_embeddings_model.bin hub-lfs-match + cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f OpenVINO/gemma-4-26b-a4b-it-int4-ov/tokenizer.json hub-lfs-match +data: gsm8k-test-0-199.jsonl 45e54be2df7426cb; ttft-prompt.txt b10cd3c79003d22e +engine flags (Od in each arm's deploy.yaml): + Ld: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 8 -C 0x5555 --cpu-strict 1 --jinja + Ld-mtp: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 8 -C 0x5555 --cpu-strict 1 --jinja -md /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf --spec-type draft-mtp + Ld-mtp-u: -m /models/google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf --host 0.0.0.0 --port 8080 --alias gemma -t 8 --jinja -md /models/k3dgpu/gemma-4-26B-A4B-it-qat-assistant-gguf/gemma-4-26B-A4B-it-qat-assistant-q4_0.gguf --spec-type draft-mtp diff --git a/bench/h57d/results/2026-10-29/hold2/wait_s b/bench/h57d/results/2026-10-29/hold2/wait_s new file mode 100644 index 00000000..573541ac --- /dev/null +++ b/bench/h57d/results/2026-10-29/hold2/wait_s @@ -0,0 +1 @@ +0 diff --git a/bench/h57d/results/2026-10-29/verdict.json b/bench/h57d/results/2026-10-29/verdict.json new file mode 100644 index 00000000..69163a52 --- /dev/null +++ b/bench/h57d/results/2026-10-29/verdict.json @@ -0,0 +1,106 @@ +{ + "arms": { + "Ld-mtp": { + "per_hold": { + "1": 12.251274719789958, + "2": 12.025672046488353 + }, + "holds_measured": 2, + "median": 12.09104859646159, + "foreign_mean": 3.415059941520468 + }, + "Ld-mtp-u": { + "per_hold": { + "1": 13.574894135019056, + "2": 13.23264758033588 + }, + "holds_measured": 2, + "median": 13.393209521109803, + "foreign_mean": 3.1143079044117643 + }, + "Od": { + "per_hold": { + "1": 9.693779926443675, + "2": 9.94115057666897 + }, + "holds_measured": 2, + "median": 9.784030271232458, + "foreign_mean": 0.4480937198067634 + } + }, + "delivered": { + "Ld-mtp": true, + "Ld-mtp-u": true, + "Od": true + }, + "quality": "inherited, not re-measured (H57dp pre-registration): H57d's Ld-mtp record (50/50) stands for Ld-mtp-u and Od's (50/50) for Od; neither row has a quality gate here", + "quality_records": { + "Ld-mtp-u": { + "from": "H57d hold 4, Ld-mtp", + "correct": 50, + "n": 50, + "score": 1.0 + }, + "Ld-mtp": { + "from": "H57d hold 4, Ld-mtp", + "correct": 50, + "n": 50, + "score": 1.0 + }, + "Od": { + "from": "H57d hold 4, Od", + "correct": 50, + "n": 50, + "score": 1.0 + } + }, + "affinity": { + "Ld-mtp": { + "single_cpu_threads": { + "1": { + "0": 2, + "10": 1, + "12": 1, + "14": 1, + "2": 1, + "4": 1, + "6": 1, + "8": 1 + }, + "2": { + "0": 2, + "10": 1, + "12": 1, + "14": 1, + "2": 1, + "4": 1, + "6": 1, + "8": 1 + } + }, + "as_registered": true + }, + "Ld-mtp-u": { + "single_cpu_threads": { + "1": {}, + "2": {} + }, + "as_registered": true + } + }, + "load_gate": { + "matched": false, + "spread": 2.9669662217137045, + "tolerance": 2.0, + "reason": "foreign P-core load spread 2.97 > 2.00 CPU-s/s" + }, + "H57dp": { + "verdict": "INCONCLUSIVE", + "reason": "load unmatched: foreign P-core load spread 2.97 > 2.00 CPU-s/s" + }, + "H57de": { + "x": "Ld-mtp-u", + "verdict": "INCONCLUSIVE", + "reason": "load unmatched: foreign P-core load spread 2.97 > 2.00 CPU-s/s" + } +} diff --git a/bench/h57d/results/2026-10-29/weights.sha256 b/bench/h57d/results/2026-10-29/weights.sha256 new file mode 100644 index 00000000..96c0c158 --- /dev/null +++ b/bench/h57d/results/2026-10-29/weights.sha256 @@ -0,0 +1,10 @@ +3eca3b8f6d7baf218a7dd6bba5fb59a56ee25fe2d567b6f5f589b4f697eca51d google_gemma-4-26B-A4B-it-qat-q4_0-gguf/gemma-4-26B_q4_0-it.gguf hub-lfs-match +c082cc581c3ec90d70285c1a41c81544ff56cbc96650f16c900a280940655801 google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/model.safetensors hub-lfs-match +75a6583c1a418e2bbd79c60d95d28e0f5bf549ad3f2990b5bdb5238c6c2bf70c google_gemma-4-26B-A4B-it-qat-q4_0-unquantized-assistant/tokenizer.json hub-lfs-match +461919bda7b546453e903052588c578e3e94e9e8215b7cec07cb00cb97459d13 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_detokenizer.bin hub-lfs-match +0f887130aef63545d655ea2addab6168680efe9b6531cbc46c2e2fc599ac8abe OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_language_model.bin hub-lfs-match +2d8dfbdcc2174aa6223621502dc566d9e881b7c3db3ff2e1e96a65cee7827edb OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_model.bin hub-lfs-match +57fda7ab0340cda71819a3ecd5f9e52e346260fe840fddcc9c87d3614b5a815b OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_text_embeddings_per_layer_model.bin hub-lfs-match +72cc61385a142c29a1ea37125b9d7a4c5775fe8386a5f6db1dd1108ea5ec1361 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_tokenizer.bin hub-lfs-match +13c9d8ff37be9592e06e8a9f65e2b047bdc6b24d5bc905c022e4d18996b3c382 OpenVINO/gemma-4-26b-a4b-it-int4-ov/openvino_vision_embeddings_model.bin hub-lfs-match +cc8d3a0ce36466ccc1278bf987df5f71db1719b9ca6b4118264f45cb627bfe0f OpenVINO/gemma-4-26b-a4b-it-int4-ov/tokenizer.json hub-lfs-match diff --git a/docs/intel.md b/docs/intel.md index 684d04fe..bde2a49e 100644 --- a/docs/intel.md +++ b/docs/intel.md @@ -150,14 +150,27 @@ moves a row to verified. Please send its output. balloons policy) onto Kubernetes. It targets Xeon servers. We read it at [`0ecf67a`](https://github.com/intel/enterprise-agent-toolkit/tree/0ecf67a); a k3d-gpu cluster is a candidate bring-your-own target for a single developer -machine. [`integrations/eat/eat-up.sh`](../integrations/eat/eat-up.sh) deploys the -pinned tag `release-1.0.3-hotfix` -([`0d3438d`](https://github.com/intel/enterprise-agent-toolkit/tree/0d3438d7119de44cafc5903f66665c0b623e3333); -[tags](https://api.github.com/repos/intel/enterprise-agent-toolkit/tags), checked -2026-10-28). The latest, `release-1.1.0`, adds OpenShell -([PR #14](https://github.com/intel/enterprise-agent-toolkit/pull/14), -`deploy_openshell=off` by default); `eat-up.sh` refuses `deploy_openshell=on` because -its pinned tag has no OpenShell role. Pins and upstream changes, Release 1.1.0 +machine. There are two paths, one per EAT generation: + +- **EAT 1.x.** [`integrations/eat/eat-up.sh`](../integrations/eat/eat-up.sh) deploys the + pinned tag `release-1.1.0`, the latest + ([`0c726f5`](https://github.com/intel/enterprise-agent-toolkit/tree/0c726f576595971c53cc45b94e08ba969beb4a4a); + [tags](https://api.github.com/repos/intel/enterprise-agent-toolkit/tags), checked + 2026-10-29), through EAT's own brownfield path, with its guardrail, vLLM Semantic + Router, OpenShell, Kata and rack-scale mode off and the vLLM CPU image pinned by digest. + `release-1.1.0` adds OpenShell + ([PR #14](https://github.com/intel/enterprise-agent-toolkit/pull/14), + `deploy_openshell=off` by default); `eat-up.sh` refuses `deploy_openshell=on` because + OpenShell has not run on a k3d-gpu cluster. The `release-1.1.0` path is pre-registered + as F4 and has not run yet. +- **EAT 2.0.** EAT [PR #19](https://github.com/intel/enterprise-agent-toolkit/pull/19) + moved the toolkit into Intel's EAS installer (`es_auto_installer.sh install + agent-toolkit`). `k3d-gpu eas up --agent-toolkit` runs that installer against the + cluster, with every k3d choice made from what it reads there: + [intel/eas.md](intel/eas.md). It has not run end to end yet; F3 in + [EXPERIMENTS.md](../EXPERIMENTS.md#f3-pre-registration-i9-13900t-2026-10-29) is PENDING. + +Pins and upstream changes, Release 1.1.0 ([PR #21](https://github.com/intel/enterprise-agent-toolkit/pull/21)) included: [platforms.md](platforms.md#intel-enterprise-agent-toolkit-eat). @@ -192,20 +205,29 @@ i9-13900T [ledger:H18]. No Xeon run backs it yet. EAT's defaults are read from `release-1.0.3-hotfix`: `docs/prerequisites.md`, `docs/single-node-deployment.md`, `docker/README.md` and `core/helm-charts/` [provenance:P303]. The k3d-gpu column is what the launcher does today; where it has -run on hardware, the row says which host. +run on hardware, the row says which host. `release-1.1.0`, which `eat-up.sh` deploys now, +moves the vLLM CPU image to `v0.28.0` and turns the Qwen3Guard guardrail on by default +([platforms.md](platforms.md#intel-enterprise-agent-toolkit-eat)). EAT 2.0 keeps the same +hardware minimums +([prerequisites.md#L5-L9](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/docs/prerequisites.md#L5-L9)) +and installs through EAS. | | EAT by default | With k3d-gpu | |---|---|---| | Hosts | Xeon. Minimum 48 cores and 32 GB RAM, recommended 96+ cores and 64 GB; Docker mode asks for 96+ cores and 128 GB | Any Intel host it detects: client Core and Core Ultra, Xeon, Arc, Gaudi (detection and config fixture-tested per family, [platforms.md](platforms.md)). EAT ran end to end on one i9-13900T with no AMX and no AVX-512, n=1 [ledger:H1b] | | OS | Ubuntu 22.04 / 24.04, x86_64 | Any Linux with Docker that runs k3d; `host-setup` prints pinned driver steps for Ubuntu 24.04/26.04, Fedora, Arch and Manjaro | | Cluster setup | Kubespray onto the host, or brownfield on an existing cluster; the `ei-*-eligible` labels come only from the Kubespray path | One `k3d-gpu up`; `K3D_GPU_NODE_LABELS` sets EAT's labels, `K3D_GPU_BALLOONS=external` hands the NRI policy to EAT [ledger:H14] | +| EAT 2.0 install | EAS `es_auto_installer.sh install agent-toolkit`, onto Kubespray or an existing cluster (`existing_kubernetes`) | `k3d-gpu eas up --agent-toolkit`: the existing-cluster mode, with the k3d settings and patches chosen from the cluster ([intel/eas.md](intel/eas.md)). Not run yet; F3 is PENDING | | Engines | vLLM CPU (`vllm/vllm-openai-cpu:v0.24.0`, bf16), 9 model profiles in the single-node table (7 chat, 1 embedding, 1 reranker). An OVMS Helm chart ships but no default path deploys it: `openvino/model_server:2025.4`, plus an unpinned `latest-py` tag for its model-export containers | `agent up` picks per host: vLLM on a Gaudi, OVMS 2026.4.1 on an XMX GPU, else OVMS on the P-cores; vLLM XPU (`v0.31.0`) or llm-scaler on Arc by flag. Its images are pinned by digest in `images.lock` | | Accelerators | None requested: no `gpu.intel.com`, `habana.ai` or `/dev/dri` on the default path | Intel GPU, NPU, Gaudi, DSA, IAA and QAT plugins started per detected device, and `up` checks that each is schedulable (on the Xeon 6741P it warned when QAT advertised none [ledger:H52b]) | | CPU placement | NRI balloons sized for Xeon NUMA; on a hybrid CPU EAT's reservation needs the patch in [`contrib/eat/`](../contrib/eat) | Balloons baked for hybrid P/E and multi-NUMA hosts; vLLM on P-cores and agent services on E-cores through `contrib/eat/` values | -Not covered by either column: EAT's XPU path for Arc B60/B70, which shipped in -`release-1.1.0`, not in the pinned tag -([platforms.md](platforms.md#eat-pull-requests-checked-2026-10-28)). +Not covered by either column: EAT's XPU path for Arc B60/B70. It ships in +`release-1.1.0`, but `eat-up.sh` deploys the CPU path +([platforms.md](platforms.md#eat-pull-requests-checked-2026-10-28)), and EAT 2.0 leaves +Arc out ("Not in this release: ... Intel® Arc™ (XPU) deployment", +[README.md#L36](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/README.md#L36)). +On k3d-gpu an Arc card is served by `k3d-gpu agent up`. **In progress.** A campaign on one Xeon 6741P (Granite Rapids, AMX) host with 4x Arc Pro B70 checks four things: that `detect` and `up` pick up the Xeon and the @@ -223,7 +245,7 @@ one B70. |----|-------------|--------| | [ledger:H54a] | Single-stream decode, engine by engine, against EAT's stock vLLM CPU (bf16 QAT weights). The stock arm, EAT 1.0.3's vLLM CPU v0.24.0, as this harness rendered it (no CPU balloon, requests or limits), stalled mid-decode in both holds, so nothing was scored against it. An unscored rerun outside k3d stalled the same way, in a vLLM v0.24.0 CPU attention hang fixed upstream in v0.25.0 ([vllm#45844](https://github.com/vllm-project/vllm/pull/45844)); that the holds hit the same hang is inferred (H54 note N2 in the ledger). EAT 1.1.0's vLLM CPU v0.28.0 was not measured in this row; H50 ran it in EAT's banking flow. Of the arms measured, llama.cpp CPU on Google's QAT Q4_0 GGUF decoded ahead of k3d-gpu's OVMS arms, and its QAT MTP drafter added a little on top | INCONCLUSIVE | | [ledger:H54d] | The best H54a arm inside EAT's banking flow: not run, since H54a chose no arm | INCONCLUSIVE | -| [ledger:H54q] | Whether the QAT-matched int4 IR keeps the bf16 QAT quality and OpenVINO's base-model IR does not | PENDING | +| [ledger:H54q] | Whether the QAT-matched int4 IR keeps the bf16 QAT quality and OpenVINO's base-model IR does not. On GSM8K items 0-199 the QAT-matched IR stayed inside the pre-registered margin of the bf16 reference, but the base-model IR scored no lower than it, and every build sat near the item set's ceiling | INCONCLUSIVE | | [ledger:H54b] | Qwen3.8-27B on Arc Pro B70, the best one-card arm against EAT #21's two-card XPU path. No one-card arm was delivered: the arms on Qwen bf16 or RedHat int4 weights did not fit the shared disk, two OVMS arms hit runner bugs, and llama.cpp SYCL's "one card" pod saw and used all four cards | INCONCLUSIVE | | [ledger:H54c] | Experts in the Xeon's DRAM and the rest on one B70, against a byte-split model. The experts ran on the Xeon, but every GPU arm spread over all four cards (the same placement failure), so the one-card model was not tested | INCONCLUSIVE | @@ -422,7 +444,8 @@ Shipped since this roadmap was first written: advertises; vLLM XPU or llm-scaler on Arc by flag ([README](../README.md)). - **EAT on one node.** `K3D_GPU_NODE_LABELS` sets the `ei-*-eligible` labels and `K3D_GPU_BALLOONS=external` leaves the balloons policy to EAT [ledger:H14]; - [`integrations/eat/eat-up.sh`](../integrations/eat/eat-up.sh) runs EAT's brownfield path [ledger:H1b]. + [`integrations/eat/eat-up.sh`](../integrations/eat/eat-up.sh) runs EAT's brownfield path + (`release-1.0.3-hotfix` [ledger:H1b]; `release-1.1.0`, now pinned, is F4 and not run yet). - **Report and bench.** `k3d-gpu report`, `facts`, `plan`, and the `bench/` harnesses that write [EXPERIMENTS.md](../EXPERIMENTS.md). - **Telemetry.** Prometheus, node-exporter, the Intel GPU exporter and an optional @@ -463,9 +486,11 @@ hardware, a recorded run. runs gave the `xe`, DSA, IAA, QAT and AMX rows their first hardware results and the CPU ISA labels their first recorded live node, and both ledger rows are REFUTED [ledger:H52] [ledger:H52b]; the first Gemma 4 rows are recorded, none SUPPORTED yet. -- **EAT 1.1.0.** The `release-1.1.0` tag is cut (2026-10-22). Moving `eat-up.sh` to it - waits until no pending ledger row pins `0d3438d`, then needs the checks listed in - [platforms.md](platforms.md#intel-enterprise-agent-toolkit-eat). +- **EAT 1.1.0 run.** `eat-up.sh` deploys `release-1.1.0` since 2026-10-29, with the + guardrail off and the vLLM CPU image re-pinned to `v0.28.0` + ([platforms.md](platforms.md#intel-enterprise-agent-toolkit-eat)). The recorded + end-to-end run is pre-registered as F4 in [EXPERIMENTS.md](../EXPERIMENTS.md) and has + not run yet. - **NPU telemetry.** No NPU exporter is shipped. - **Upstream.** Small, separate fixes for running EAT and its successor installer on k3s: accept `+k3s` versions in platform detection, pass Istio's diff --git a/docs/intel/eas.md b/docs/intel/eas.md new file mode 100644 index 00000000..0bf4b4b1 --- /dev/null +++ b/docs/intel/eas.md @@ -0,0 +1,306 @@ +# Intel EAS on k3d-gpu (`k3d-gpu eas`) + +> **Status: built from upstream source, not yet run end to end.** The scored run is +> F3 in [EXPERIMENTS.md](../../EXPERIMENTS.md#f3-pre-registration-i9-13900t-2026-10-29), +> pre-registered on 2026-10-29 and PENDING. Until F3 has run, nothing on this page says +> that EAS works on k3d-gpu. The EAT 2.0 layer has never run on k3s or k3d in this +> repo's records: Gate 2 covered EAS's platform and inference layers only +> ([upstream-eat.md](upstream-eat.md#test-plan)). + +Intel® AI for Enterprise Solutions ([intel/enterprise-ai-solutions](https://github.com/intel/enterprise-ai-solutions), +EAS) installs Intel's AI stack in layers with one script, `es_auto_installer.sh`. Since +EAT PR [#19](https://github.com/intel/enterprise-agent-toolkit/pull/19) and EAS PR +[#66](https://github.com/intel/enterprise-ai-solutions/pull/66), the Enterprise Agent +Toolkit (EAT 2.0) is one of those layers: `es_auto_installer.sh install agent-toolkit`. +EAS has a bring-your-own-cluster mode, `existing_kubernetes`, that skips Kubespray; a +k3d-gpu cluster is such a cluster. + +`k3d-gpu eas` drives that mode: it reads the cluster, picks every EAS setting that a k3d +cluster needs, applies the k3d patches EAS has not merged yet, and runs the installer +from a pinned bastion container. EAT 1.x (the `deploy-agentic-stack.sh` releases) stays on +[`integrations/eat/eat-up.sh`](../../integrations/eat/README.md). + +## What "full EAS" covers + +| Layer | `es_auto_installer.sh` | `k3d-gpu eas up` | +|---|---|---| +| platform (Istio, Envoy Gateway, cert-manager, PostgreSQL, Keycloak, observability) | `install platform` | always | +| inference (model-manager and its vLLM CPU models, KServe, Envoy AI Gateway, NFD; models behind a Keycloak JWT by default, `auth_type: jwt`) | `install inference` | always | +| agent-toolkit (EAT 2.0: Redis Stack, pgvector, agent sandbox; sets `auth_type: litellm_vkey`, which brings LiteLLM with its guardrail and hybrid router, and Langfuse) | `install agent-toolkit` | `--agent-toolkit` | +| erag (Intel Enterprise RAG) | `install erag` | not yet, see [Limits](#limits) | + +LiteLLM and Langfuse are inference-layer components that EAS installs only when +`auth_type` is `litellm_vkey` +([EI components.yaml#L42-L53](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/components.yaml#L42-L53); +EI's default is `jwt`, +[config.yaml#L44](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/config.yaml#L44)), +and the agent-toolkit layer sets it +([EAT config.yaml#L24](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/config.yaml#L24)). +Gate 2 served its model at `inference.` with a Keycloak token +([upstream-eat.md, probe 5](upstream-eat.md#test-plan)). + +The platform, inference and agent-toolkit layers run on the Xeon CPU path. +`kubernetes_accelerator: "cpu"` is the only value with behaviour in EAS today +([global_config.yaml#L106](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/configs/defaults/global_config.yaml#L106); +"Intel GPUs: intel_gpu_operator ... is not available on this branch yet", +[nvidia_gpu_operator/tasks/install.yaml#L20](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/roles/nvidia_gpu_operator/tasks/install.yaml#L20)), +and EAT 2.0 lists "Intel® Arc™ (XPU) deployment" as not in the release +([README.md#L36](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/README.md#L36)). + +## Commands + +```bash +k3d-gpu eas up [--agent-toolkit] [--eas-ref R] [--ei-ref R] [--eat-ref R] \ + [--model NAME] [--dry-run] [--explain] [-- ] +k3d-gpu eas status # EAS status, pins, overlay decisions, gateway IP, pods not Ready +k3d-gpu eas check # with --agent-toolkit: chat through the EAS gateway with a minted LiteLLM key, then the sandbox step +k3d-gpu eas down # EAS teardown; the cluster stays (k3d-gpu down removes it) +``` + +- The cluster is `K3D_GPU_CLUSTER` and its own kubeconfig, `${STATE_DIR}/kubeconfig-`. + When the cluster does not exist, `eas up` runs `k3d-gpu up` first, so EAS is one command + on an Intel host. +- `--dry-run` reads the cluster, prints every choice and patch decision, and writes the + files it would use under the state dir. It changes nothing in the cluster. +- Every automatic choice prints as `fact -> choice [source]`, with a short source + (`repo@sha7 path:line`). `--explain` prints the full permalink instead. +- Arguments after `--` go to `ansible-playbook`, for example + `k3d-gpu eas up --agent-toolkit -- -e '{"llm_services_autodeploy_models": []}'` to + install without EAT's chat model. + +What `eas up` does, in order: + +1. Reads the cluster, read-only: node labels and allocatable CPU, memory and devices; the + `k3s.io/node-args` annotation (ServiceLB, CIDRs); any `nri-resource-policy-balloons` + DaemonSet and its owner; NFD; the agent-sandbox CRDs; EAT 1.x namespaces; the server + version, rootless Docker, host `MemAvailable` and inotify limits; and + `k3d-gpu fit --model --engine vllm --device cpu --json` per model candidate. +2. Writes the choices: an ansible extra-vars file loaded last (`k3d-gpu-overrides.yaml`), + the `existing_kubernetes` line in the env's `global_config.yaml` (the installer reads it + there with `yq`, + [es_auto_installer.sh#L1342-L1358](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L1342-L1358)), + the `models.yaml` edits model-manager reads, the layer manifest's `rev:` rewritten to + SHAs, and `choices.txt`. +3. Builds or reuses the bastion image (Ubuntu 24.04, kubectl, helm, yq, a hashed Python + lock and `kubernetes.core`), tagged by the hash of its Dockerfile and lock. +4. In the bastion (host network, your uid and gid, the kubeconfig read-only): clones EAS + at the pinned SHA, applies the [overlay](#patch-overlay), pins the layer manifest to + SHAs ([`_checkout_rev` accepts one](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L658-L693)), + then runs `init --env k3d-gpu` and + `install --env k3d-gpu -- -e @/eas-state/k3d-gpu-overrides.yaml`. + `configure` is skipped: it needs a terminal or `--force`, `sudo` and apt + ([#L318-L352](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L318-L352)), + and every tool it installs is already in the image. The installer reuses a venv that has + `ansible-playbook` ([#L801-L806](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L801-L806)). +5. Prints the gateway: the address of the Gateway `eg-gateway` in `envoy-gateway-system` + (its `status.addresses`). No Service is named `eg-gateway`: EAS sets no Service name, so + Envoy Gateway names the proxy's LoadBalancer Service `envoy-` plus the Gateway's + namespace, name and a hash + ([gateway v1.7.1 resource_provider.go#L299-L304](https://github.com/envoyproxy/gateway/blob/3f75d826cc1dbd3d66632abbd45f96388d226c1d/internal/infrastructure/kubernetes/proxy/resource_provider.go#L299-L304)); + k3s ServiceLB gives it the node IP. With `--agent-toolkit` it also prints a ready + `curl --resolve litellm.:443:` line. It never edits `/etc/hosts`. + +## Automatic choices + +Each row is one line of `choices.txt`. Sources are pinned to the commits in [Pins](#pins). + +| Fact read from the cluster | Choice | Source | +|---|---|---| +| A k3d-gpu cluster | `existing_kubernetes: /kube/config`, the per-cluster kubeconfig mounted read-only | [EAS global_config.yaml#L14](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/configs/defaults/global_config.yaml#L14); [es_auto_installer.sh#L1460-L1466](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L1460-L1466) | +| k3d-gpu node image: containerd CNI `bin_dirs` is `["/usr/bin"]` | `istio_platform: k3d` (stock k3s needs `k3s`); needs overlay 0002 | [upstream-eat.md, Gate 2 probes 1 and 2](upstream-eat.md#test-plan) | +| ServiceLB on (no `--disable=servicelb` in `k3s.io/node-args`) | `metallb_enabled: false` | [EAS components.yaml#L100-L102](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/configs/components.yaml#L100-L102) | +| A balloons DaemonSet already runs (k3d-gpu baked it for a hybrid or multi-NUMA host), or Docker is rootless | `kubernetes_cpu_policy: best-effort` | [EAS preflight.yaml#L212-L270](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/playbooks/includes/preflight.yaml#L212-L270); Gate 2 probe 6 | +| No NRI policy on the node, NRI available (`K3D_GPU_BALLOONS=external`, or nothing baked) | `kubernetes_cpu_policy: nri-balloons`; needs overlay 0003 | same; [ledger:H14] for EAT's chart values on such a cluster | +| k3d-gpu's NFD runs in `node-feature-discovery` (a k3s manifest, not a Helm release) | `nfd_enabled: false`: EI looks only for a Helm release of that name and would install a second NFD | [EI roles/nfd/tasks/install.yaml#L15-L25](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/roles/nfd/tasks/install.yaml#L15-L25) | +| `feature.node.kubernetes.io/cpu-cpuid.AMXBF16=true` on the node | `require_amx: true` in `models.yaml` | [EI models.yaml#L20](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/model_manager/models.yaml#L20) | +| No AMXBF16 label | `require_amx: false`, so model pods are not left Pending on the AMX node affinity | [EI core/renderer.py#L90-L104](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/model_manager/core/renderer.py#L90-L104); Gate 2 probe 5 | +| No AMX | `VLLM_CPU_SGL_KERNEL` left as shipped: vLLM v0.28.0 checks AMX itself | [vLLM utils.py#L238-L244](https://github.com/vllm-project/vllm/blob/2cf0a6915ce544dc493a0990f2ea38d81601128a/vllm/model_executor/layers/utils.py#L238-L244) | +| No `--cluster-cidr` or `--service-cidr` in `k3s.io/node-args` | `kubernetes_cluster_cidr: 10.42.0.0/16`, `kubernetes_service_cidr: 10.43.0.0/16` (EI's LiteLLM falls back to `10.233.64.0/18` for the pod network it admits, which EAT turns on with OpenShell and asks for on a BYO cluster) | [k3s server.go#L139-L144 at v1.37.1+k3s1](https://github.com/k3s-io/k3s/blob/356c025475bbefaa09cf0d7e48e8e2adbbde57db/pkg/cli/cmds/server.go#L139-L144); [EI litellm defaults#L65](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/roles/litellm/defaults/main.yaml#L65); [EAT config.yaml#L61-L64](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/config.yaml#L61-L64) | +| A BYO cluster | `kata_containers_enabled: false`, set explicitly (EAS's default is already `false`): the role fails on BYO | [EAS kata_containers/tasks/install.yaml#L9-L22](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/roles/kata_containers/tasks/install.yaml#L9-L22) | +| `gpu.intel.com/*` or `habana.ai/gaudi` allocatable | `kubernetes_accelerator: cpu` stays, and the line says "serve the device with k3d-gpu agent up" | [EAT README.md#L36](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/README.md#L36); [EAS nvidia_gpu_operator install.yaml#L20](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/roles/nvidia_gpu_operator/tasks/install.yaml#L20) | +| `--agent-toolkit`, no agent-sandbox CRDs | `agent_sandbox_enabled: true`: EAT installs agent-sandbox `v0.5.0` | [EAT config.yaml#L54-L56](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/config.yaml#L54-L56) | +| `--agent-toolkit`: EAT's router image is the floating `:latest-main` | `agent_sandbox_router_image` and `agent_sandbox_python_runtime_image` pinned by digest in the overrides | [EAT agent_sandbox defaults#L27-L28](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/roles/agent_sandbox/defaults/main.yaml#L27-L28) | +| `--agent-toolkit`: node allocatable memory and `fit` cover EAT's default (about 131 GiB: `qwen2-5-coder-14b` 96, Qwen3Guard 16, router 2, the rest 17) | keep the default model | [EAT single-node-deployment.md#L84](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/docs/single-node-deployment.md#L84) | +| They do not | the first EAT-documented 64 GiB model that `fit` says fits: `qwen2-5-coder-7b`, then `llama-3-1-8b`; its `VLLM_CPU_KVCACHE_SPACE` comes from `fit` | same line | +| Nothing fits | `llm_services_autodeploy_models: []`, with the reason | [EAT config.yaml#L32-L35](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/config.yaml#L32-L35) | +| `--model NAME` | that model, whatever the fit says | | +| `--agent-toolkit` | `guardrails_enabled` and `hybrid_router_enabled` keep EAT's defaults (on) | [EAT config.yaml#L25-L28](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/config.yaml#L25-L28) | + +## Refusals + +`eas up` stops before it changes the cluster when: + +| Condition | Message | Why | +|---|---|---| +| ServiceLB is off (`--disable=servicelb`, the EAT 1.x advice) | recreate the cluster without `--disable=servicelb` | the gateway's Envoy Service needs a LoadBalancer address, which k3s ServiceLB gives on a k3d node; MetalLB on k3d's Docker network is not part of this path | +| EAT 1.x namespaces from `eat-up.sh` exist (`genai-gateway`, its `ingress-nginx`) | remove the EAT 1.x stack first | both stacks would own LiteLLM and ingress | +| k3d-gpu's agent-sandbox v1.0.8 runs (`k3d-gpu sandbox up` was used) and `--agent-toolkit` is set | run `k3d-gpu sandbox down` first | EAT applies agent-sandbox v0.5.0's manifests, which would replace v1.0.8's CRDs and controller with an older release | +| `--layer erag` | ERAG is not wired into `k3d-gpu eas` yet; its Intel GPU flavour also needs an EI `vllm-xpu` runtime that no EI branch has | see [Limits](#limits) | +| A patch in the overlay neither applies nor is found merged or fixed | names the patch, the upstream PR that moved its hunk, and "regenerate" | see [Patch overlay](#patch-overlay) | + +The other direction holds too: `k3d-gpu sandbox up` refuses while EAS's +`sandbox-router-deployment` exists. + +## Patch overlay + +The k3d patches for EAS are the upstream drafts in +[integrations/eat/upstream/patches/](../../integrations/eat/upstream/patches/), one copy for +both uses. The only overlay-only patch is the `release-1.2` form of 0006, +[integrations/eas/patches/0006-release-1.2-envoy-control-plane-affinity.patch](../../integrations/eas/patches/0006-release-1.2-envoy-control-plane-affinity.patch). +[`integrations/eas/overlay.json`](../../integrations/eas/overlay.json) lists, per patch, its +variants, when it is needed (`always`, `eas_owns_nri`, `multi_node`, `never`), a probe that +recognises an upstream fix done another way, the knob `eas up` writes, and a hint naming the +upstream PR known to move its hunk. [`integrations/eas/overlay.py`](../../integrations/eas/overlay.py) +reads it. + +At the pinned EAS commit each patch gets one decision, printed as `fact -> choice [source]`: + +- **skip**: not needed on this cluster; +- **drop-merged**: a variant reverse-applies (`git apply -R --check`): upstream took the patch; +- **drop-fixed**: the probe matches and the knob is still in the file it matched: upstream + fixed it another way. A probe match with the knob gone is a STOP; +- **apply**: the first variant whose `git apply --check` passes; +- otherwise **STOP** (exit 3), before anything is written or the cluster is touched. The line + names the upstream PR that moved the hunk and says to regenerate the patch. + +| Patch | Needed when | Probe for an upstream fix | `main` profile (EAS `97f6157`) | `v1.2.0-rc.1` profile (EAS `5c27fb3`) | +|---|---|---|---|---| +| 0002 Istio `global.platform` | always | `roles/istio/**` sets `global.platform` from a variable; knob `istio_platform` | apply | apply | +| 0006 Envoy control-plane affinity | always | an `Exists` term on the control-plane key in a file with no exact `""` selector, or `roles/envoy_gateway/vars/k3s.yaml` (the per-distribution layout of EAS #50) | apply, variant a (`roles/envoy_gateway/tasks/controller.yaml`) | apply, variant b (the EnvoyProxy task in [`install.yaml`](https://github.com/intel/enterprise-ai-solutions/blob/5c27fb39a95eecec41aa4e29a1188984e9c726f3/roles/envoy_gateway/tasks/install.yaml#L199-L219)) | +| 0003 nri-plugins chart pin `v0.15.0` | `eas_owns_nri`: `kubernetes_cpu_policy: nri-balloons` | `chart_version:` in `roles/nri_cpu_balloons/tasks/install_advanced.yaml` | skip on a baked-balloons cluster; apply on `K3D_GPU_BALLOONS=external` | same | +| 0004 BYO node topology labels | `multi_node` | `roles/kubernetes/tasks/install.yaml` runs `apply_node_topology.yaml` | skip (one k3d-gpu server) | skip | +| 0005 single-node k3d docs page | `never` (docs only) | none | skip | skip | + +`overlay.json` records these decisions as `verified` cases; `overlay.py --check-verified` +re-checks them against an EAS clone, and +`integrations/eat/upstream/checks/apply-check.sh --overlay` does it on a fresh clone. On +2026-10-29 every patch applied on EAS `main` `97f6157`; on `v1.2.0-rc.1` 0002, 0003 and 0004 +applied and 0005 and 0006 did not (0006's file, `controller.yaml`, does not exist on +`release-1.2`, which does not contain EAS #42), which is why 0006 has a second variant. + +Open EAS PRs that change a decision when they merge (`overlay.py --watch`, checked 2026-10-29): + +| EAS PR | Effect on the overlay | +|---|---| +| [#50](https://github.com/intel/enterprise-ai-solutions/pull/50) and [#52](https://github.com/intel/enterprise-ai-solutions/pull/52) (OpenShift) | 0006 no longer applies: the selector moves into `_eg_k8s_provider`, still `control-plane: ""`. That is a STOP naming #50. Once a k3s vars file lands, 0006 becomes drop-fixed | +| [#61](https://github.com/intel/enterprise-ai-solutions/pull/61) (Headlamp SSO) | 0002 fails on its `global_config.yaml` hunk context: a STOP naming #61, so 0002 needs regenerating. 0004 (skipped on one node) and 0005 (docs, never applied) fail there too. 0006 still applies | + +## Pins + +`integrations/eas/pins.json` (schema `k3d-gpu.eas-pins/v1`) holds flat rows +`{name, repo, ref, sha, date, source}`. Each SHA was the head of its ref on 2026-10-29 +(`git ls-remote`). + +| Profile | EAS | EI (enterprise-inference) | EAT | +|---|---|---|---| +| `main` (default) | `main` [`97f6157`](https://github.com/intel/enterprise-ai-solutions/commit/97f6157d6a72f7173c698c474d4e51d2c79f1fd6) (#69) | `main` [`3e8a244`](https://github.com/intel/enterprise-inference/commit/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd) (#44) | `release-2.0.0` [`036b662`](https://github.com/intel/enterprise-agent-toolkit/commit/036b66234801e9bd950afd90830821859780d668) (the #19 merge; same tree as `agentic-toolkit-migration` `fb59459`) | +| `v1.2.0-rc.1` (`--eas-ref v1.2.0-rc.1`) | tag `v1.2.0-rc.1` [`5c27fb3`](https://github.com/intel/enterprise-ai-solutions/commit/5c27fb39a95eecec41aa4e29a1188984e9c726f3) | `release-1.1` [`170eb3a`](https://github.com/intel/enterprise-inference/commit/170eb3abb1956de0787727f21e356aef2b13ff24) | `release-2.0.0` `036b662` | + +- The `main` triple is what EAS `main` itself clones today: inference `rev: "main"` and + agent-toolkit `rev: "agentic-toolkit-migration"` + ([repos.agent-toolkit.yaml#L12 and #L21](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/configs/repos/repos.agent-toolkit.yaml#L9-L24)). + The pins freeze that combination. +- The `v1.2.0-rc.1` triple is the component table of the + [v1.2.0-rc.1 release notes](https://github.com/intel/enterprise-ai-solutions/releases/tag/v1.2.0-rc.1), + Intel's pre-release vehicle for EAT 2.0. +- Any other `--eas-ref`, `--ei-ref` or `--eat-ref` is resolved to a SHA with + `git ls-remote` when `eas up` runs, printed, and saved in the state dir. A floating ref + never reaches the installer. + +Bastion tools (each binary checked against its upstream checksum file at build time): + +| Tool | Pin | Why this version | +|---|---|---| +| kubectl | v1.37.2 | the minor of the node's k3s (`K3S_TAG` v1.37.1-k3s1); EAS's own v1.34.3 ([#L52](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L52)) is three minors off, outside the [kubectl skew policy](https://kubernetes.io/releases/version-skew-policy/#kubectl) | +| helm | v3.22.1 | latest v3; EAS's floor is v3.20.2 ([#L53](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L53)). Helm v4 is untested with `kubernetes.core` 6.3.0 | +| yq | v4.54.1 | EAS's floor is v4.53.2 ([#L51](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L51)) | +| ansible, kubernetes (Python) | 12.3.0, 35.0.0, hashed | newest inside EAS's ranges `ansible>=10.0,<13.0`, `kubernetes>=29.0,<36.0` ([requirements.txt](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/requirements.txt)) | +| kubernetes.core | 6.3.0 | EAS's [collections/requirements.yml](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/collections/requirements.yml) | + +To move a pin: + +1. Read the new head: `git ls-remote https://github.com/intel/ `. +2. Edit that one row of `integrations/eas/pins.json`: `sha`, `date`, `source`. +3. Read the overlay decisions at the new EAS SHA: `k3d-gpu eas up --dry-run`, or + `integrations/eat/upstream/checks/apply-check.sh --overlay` on a fresh clone. A STOP + names the upstream PR that moved a hunk; regenerate that patch, or add a variant, and + update the `verified` cases in `overlay.json` before the pin lands. +4. Run `tests/eas_test.sh` and update this page's tables. + +The rows are flat on purpose, so a repo-wide pins registry can take them as they are. + +## EAT's minimums on a smaller host + +EAT's prerequisites assume a Xeon server. `eas up` checks each one and warns; it never +changes the host. + +| EAT asks for | Source | What `eas up` does below it | +|---|---|---| +| 48 cores minimum, 96+ recommended | [prerequisites.md#L7](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/docs/prerequisites.md#L7) | warns and goes on; CPU requests that do not fit leave pods Pending, which `eas status` lists | +| 32 GB RAM minimum, 64 GB recommended | [prerequisites.md#L8](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/docs/prerequisites.md#L8) | sizes the model from node allocatable memory and `fit` (the default install requests about 131 GiB; the fallbacks 64 GiB each, [single-node-deployment.md#L84](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/docs/single-node-deployment.md#L84)) | +| `fs.inotify.max_user_instances = 8192`, `max_user_watches = 1048576` | [prerequisites.md#L21-L34](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/docs/prerequisites.md#L21-L34) | warns and prints the `sysctl` line to run | + +## Known issues + +`integrations/eas/known-issues.json` holds these rows as `{id, upstream, symptom, workaround, source, checked}`. + +| Issue | Symptom | What `k3d-gpu eas` does | +|---|---|---| +| EAS [#71](https://github.com/intel/enterprise-ai-solutions/issues/71) (open) | `teardown platform` hangs on the Envoy AI Gateway CRD uninstall once a model was deployed | `eas down` clears the `AIGatewayRoute` finalizers first, then runs `teardown platform --env k3d-gpu --force` (teardown refuses a non-terminal run without `--force`, [#L1486](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L1481-L1487)) | +| `require_amx: true` in EI's catalog | on a host without AMX every model pod stays Pending | writes `require_amx: false` when the node has no AMXBF16 label | +| kubectl skew | EAS installs kubectl v1.34.3, three minors behind k3s v1.37 | the bastion carries kubectl v1.37.2 | +| inotify minimum | file watchers fail with `too many open files` under the kernel default | warns and prints the `sysctl` line | +| 48-core minimum | under it, CPU requests may not fit | warns; `eas status` lists Pending pods | +| `--skip-models` in EI's docs ([config.yaml#L97](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/config.yaml#L97)) | EAS's installer has no such flag and stops on it ([#L1312](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L1312)) | nothing to replace on the inference layer: EI's seeded config already has `llm_services_deploy_models: false` ([config.yaml#L98](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/config.yaml#L98)). With `--agent-toolkit`, EAT's chat model and the Qwen3Guard guard model deploy whatever that key says ([EI llm_services install.yaml#L143-L161](https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/roles/llm_services/tasks/install.yaml#L143-L161)); `k3d-gpu eas up --agent-toolkit -- -e '{"llm_services_autodeploy_models": []}'` skips the chat model ([EAT config.yaml#L34](https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/config.yaml#L34)), and the guard model stays while the guardrail is on | + +## State and secrets + +- State lives in `${STATE_DIR}/eas-/` (mode 0700): the EAS checkout, `env/k3d-gpu`, + logs, `choices.txt`, `overlay.txt` and the resolved pins. +- The Keycloak admin password is generated by EAS + ([keycloak defaults#L28](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/roles/keycloak/defaults/main.yaml#L28)). + `HF_TOKEN` is passed to the bastion by name when it is set. No secret is put on a + command line or in a log. +- `eas check` (after `--agent-toolkit`, the layer that brings LiteLLM) mints a LiteLLM + virtual key from the `litellm-master-key` Secret (namespace `litellm`), uses it once + against the gateway, and deletes it. + +## Limits + +- **Xeon CPU path only.** That is what EAS and EAT ship for a cluster like this one + (sources [above](#what-full-eas-covers)). An Arc GPU or a Gaudi on the node is not used by + EAS; serve it with `k3d-gpu agent up`. Registering such an engine behind EAS's LiteLLM, + as [`eat-remote.sh`](../../integrations/eat/README.md) does for EAT 1.x, is a follow-up. +- **ERAG is not wired in yet.** EAS wires Intel Enterprise RAG in as a further layer + ([repos.erag.yaml](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/configs/repos/repos.erag.yaml#L22-L28)), + and `k3d-gpu eas up` does not install it. Its default flavour, `chatqna`, is a Xeon (CPU) + deployment + ([deployment/README.md#L3](https://github.com/intel/enterprise-rag/blob/319eb4652565fed42de9d601c61f9862b3759dfb/deployment/README.md#L3)), + so it is on the same CPU path as the other layers and is the follow-up: pins, a test + fixture and a run. Its Intel GPU flavour, `chatqna_intel_gpu`, is marked EXPERIMENTAL + and needs `kubernetes_accelerator: intel-gpu` with an EI vLLM-XPU runtime + ([config.yaml#L8-L15](https://github.com/intel/enterprise-rag/blob/319eb4652565fed42de9d601c61f9862b3759dfb/deployment/pipelines/chatqna_intel_gpu/config.yaml#L8-L15), + ERAG `main` `319eb46`, tag `v3.0.0` `25812cb`). No branch of enterprise-inference has + that runtime: all 33 branches carry only `openvino` and `vllm` under + `model_manager/runtimes` (read 2026-10-29), so that flavour cannot run anywhere yet. +- **One node.** Patch 0004 (topology labels) is only needed on more than one node, and + `eas up` targets the single k3d-gpu server. +- **Not yet observed.** The EAT 2.0 layer on k3s or k3d; agent-sandbox v0.5.0 on + Kubernetes 1.37 (EAS tests 1.34.3); the CPU requests of the whole stack on a 32-CPU + desktop; helm v3.22.1 with `kubernetes.core` 6.3.0; and whether any BYO task needs `sudo` + inside the bastion. The installer itself probes `sudo -n true` before every `install` and, + without passwordless sudo, runs `ansible-playbook` with `--ask-become-pass` + ([es_auto_installer.sh#L866-L875](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L866-L875), + [#L1179](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L1179), + [#L1423](https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/es_auto_installer.sh#L1423)), + which a bastion with no terminal cannot answer. The `eas` CLI PR's wiring smoke settles + these on a throwaway cluster; F3 is the scored run. + +## Related + +| If you want to… | Go to | +|---|---| +| Run EAT 1.x (`release-1.1.0`) on k3d-gpu | [integrations/eat](../../integrations/eat/README.md), [intel.md](../intel.md#run-intel-enterprise-agent-toolkit-on-one-machine) | +| See the upstream patch drafts and their checks | [upstream-eat.md](upstream-eat.md) | +| See EAT's PR history and pins | [platforms.md](../platforms.md#intel-enterprise-agent-toolkit-eat) | +| See the F3 pre-registration | [EXPERIMENTS.md](../../EXPERIMENTS.md#f3-pre-registration-i9-13900t-2026-10-29) | diff --git a/docs/intel/technical-report.md b/docs/intel/technical-report.md index 48b1d3e1..9eb754af 100644 --- a/docs/intel/technical-report.md +++ b/docs/intel/technical-report.md @@ -1,17 +1,17 @@ # k3d-gpu on Intel hardware: technical report -Status: working report, 2026-10-29. Ledger: [EXPERIMENTS.md](../../EXPERIMENTS.md), verdicts as of the H52b run (81 rows). +Status: working report, 2026-10-29. Ledger: [EXPERIMENTS.md](../../EXPERIMENTS.md), verdicts as of the H57dp and H54q runs (81 rows). ## Abstract k3d-gpu turns one Linux host into a single-node k3s cluster (k3d) that detects the host's Intel hardware and configures it. It sets NRI balloons for hybrid P/E and NUMA CPUs, device plugins for iGPU, dGPU, NPU, DSA, IAA, QAT and Gaudi, and placement labels for agent and inference pods. -This report covers what was measured, and how. Every result but H52, H52b, H25x, H27x, H28x, H34x, H50, H50o, H51, H54a, H54d, H54b, H54c and H56 (a Xeon 6741P host, the B70 rows on its Arc Pro B70s) comes from one host: an i9-13900T (Raptor Lake-S, 8 P-cores and 16 E-cores, UHD 770 iGPU with no XMX, AVX-VNNI, no AMX, no NPU). It is a T-SKU rated at 35 W base power, but its firmware runs PL1 = PL2 = 117 W, so it does not run the T-series 35 W envelope. +This report covers what was measured, and how. Every result but H52, H52b, H25x, H27x, H28x, H34x, H50, H50o, H51, H54a, H54d, H54q, H54b, H54c and H56 (a Xeon 6741P host, the B70 rows on its Arc Pro B70s) comes from one host: an i9-13900T (Raptor Lake-S, 8 P-cores and 16 E-cores, UHD 770 iGPU with no XMX, AVX-VNNI, no AMX, no NPU). It is a T-SKU rated at 35 W base power, but its firmware runs PL1 = PL2 = 117 W, so it does not run the T-series 35 W envelope. - Seventeen hypotheses are SUPPORTED. Sixteen are scoped to that host; H25x is H25 replicated on the Xeon 6741P. H57dm (the Gemma 4 QAT MTP drafter speeds llama.cpp decode on the P-cores) is the newest. - Seventeen are REFUTED. Six of them changed shipped defaults. The newest, H52b, is H52 after `k3d-gpu host-setup --apply` on the Xeon 6741P: DSA was advertised and reached a pod, but IAA got no work queue, the QAT plugin advertised none of the VFs, and `up` advertised two of the four B70s: the serving pairs hold about half the VRAM of every card, and its busy-card filter (half or more) left out the two just over half and kept the two just under it [ledger:H52b]. Before it, H51 ran the graded agents-per-box ramp on the Xeon 6741P: the k3d-gpu CPU stack failed at one agent (turn p95 10.41 s against the 10 s SLO), and so did EAT's stock vLLM CPU arm [ledger:H51]. H50 ran inside EAT's banking flow on the same host: EAT's current stock vLLM CPU arm (release-1.1.0) delivered at least as many tasks within the turn budget as the k3d-gpu CPU stack: 21 of 24 against 19 of 24 [ledger:H50]. -- 28 are INCONCLUSIVE, mostly because the shared host throttles or its load was unmatched. H50o (the k3d-gpu CPU stack against EAT's own OVMS chart on the Xeon 6741P) is INCONCLUSIVE because that chart's OVMS 2025.4 crashed on loading Gemma 4 26B-A4B, so no pair ran. H54a and H54d (Gemma 4 26B-A4B QAT on the Xeon 6741P) are INCONCLUSIVE because the stock arm, EAT 1.0.3's vLLM CPU v0.24.0, as this harness rendered EAT's entry (no CPU balloon, requests or limits), stalled in both of H54a's holds, so no arm could be scored against it. EAT 1.1.0's vLLM CPU v0.28.0 was not measured in H54a; H50 ran it in EAT's banking flow. H54b and H54c (one Arc Pro B70 against two, and experts in DRAM with the rest on one B70) are INCONCLUSIVE because their "one card" pods saw all four cards, so no arm was delivered as pre-registered. H57da (k3d-gpu's OVMS pick vs llama.cpp for Gemma 4 QAT on the i9-13900T) did not resolve: the strictly pinned llama.cpp arms tracked host load; H57db did not run (memory). H28x (H28 replicated on the Xeon 6741P) is INCONCLUSIVE: its one pre-registered hold failed in setup and measured nothing; one re-run is registered. H56 (two holds at once in cpuset slices of the Xeon 6741P) is INCONCLUSIVE: in every hold with a sibling, the sibling's banking block ended shortly after the measured block began, so all four were VOID and no interference statistic was scored; crescent rows stay at one hold at a time. -- 19 are PENDING: the i9-13900T thread-pinning follow-ups H57dp and H57de, the Xeon 6741P rows H53, H54q, H60 (Qwen3.8-Flash-Next from host DRAM) and the zero-touch thesis row H58, the cross-host replication H7x, the engine-choice rows H59 (Xeon 6741P), H59d (i9-13900T) and H59w (i7-13700), H55 (SLO-gated admission of an E-core neighbour on the i9-13900T), and the second client host's (wildct, i7-13700) rows H52w, H18w, H25w, H28w, H34w, H57wa, H57wm and H57wb, pre-registered and not yet run. H52, the first row run on that host (a Xeon 6741P with four Arc Pro B70s), is REFUTED. H27x, H27 re-run on the Xeon (AMX), is REFUTED as on the i9. H34x, H34 re-run there, is REFUTED: the CPU Fast Draft that sped up the i9 slowed decode on the Xeon. +- 31 are INCONCLUSIVE, mostly because the shared host throttles or its load was unmatched. H54q (the QAT-matched int4 IR of Gemma 4 26B-A4B against the bf16 QAT weights and OpenVINO's base-model IR, on GSM8K items 0-199 on the Xeon 6741P) is INCONCLUSIVE: the QAT-matched IR stayed inside the pre-registered margin of the bf16 reference, but the base-model IR scored no lower than it, with every build near the item set's ceiling. H50o (the k3d-gpu CPU stack against EAT's own OVMS chart on the Xeon 6741P) is INCONCLUSIVE because that chart's OVMS 2025.4 crashed on loading Gemma 4 26B-A4B, so no pair ran. H54a and H54d (Gemma 4 26B-A4B QAT on the Xeon 6741P) are INCONCLUSIVE because the stock arm, EAT 1.0.3's vLLM CPU v0.24.0, as this harness rendered EAT's entry (no CPU balloon, requests or limits), stalled in both of H54a's holds, so no arm could be scored against it. EAT 1.1.0's vLLM CPU v0.28.0 was not measured in H54a; H50 ran it in EAT's banking flow. H54b and H54c (one Arc Pro B70 against two, and experts in DRAM with the rest on one B70) are INCONCLUSIVE because their "one card" pods saw all four cards, so no arm was delivered as pre-registered. H57da (k3d-gpu's OVMS pick vs llama.cpp for Gemma 4 QAT on the i9-13900T) did not resolve: the strictly pinned llama.cpp arms tracked host load; H57db did not run (memory). H57dp and H57de are INCONCLUSIVE: they re-ran that comparison with an unpinned llama.cpp arm, and the load gate failed on OVMS's low foreign P-core load (0.45 CPU-s/s against the llama.cpp arms' 3.1-3.4); the unpinned arm was 1.108x the pinned one and 1.369x OVMS, not gated, and OVMS ran without its P-core balloon. H28x (H28 replicated on the Xeon 6741P) is INCONCLUSIVE: its one pre-registered hold failed in setup and measured nothing; one re-run is registered. H56 (two holds at once in cpuset slices of the Xeon 6741P) is INCONCLUSIVE: in every hold with a sibling, the sibling's banking block ended shortly after the measured block began, so all four were VOID and no interference statistic was scored; crescent rows stay at one hold at a time. +- 16 are PENDING: the Xeon 6741P rows H53, H60 (Qwen3.8-Flash-Next from host DRAM) and the zero-touch thesis row H58, the cross-host replication H7x, the engine-choice rows H59 (Xeon 6741P), H59d (i9-13900T) and H59w (i7-13700), H55 (SLO-gated admission of an E-core neighbour on the i9-13900T), and the second client host's (wildct, i7-13700) rows H52w, H18w, H25w, H28w, H34w, H57wa, H57wm and H57wb, pre-registered and not yet run. H52, the first row run on that host (a Xeon 6741P with four Arc Pro B70s), is REFUTED. H27x, H27 re-run on the Xeon (AMX), is REFUTED as on the i9. H34x, H34 re-run there, is REFUTED: the CPU Fast Draft that sped up the i9 slowed decode on the Xeon. - Every other Intel family is detected and configured in fixture tests only. None has a measurement. No world-first, superlative or priority claim is made; [docs/provenance.md](../provenance.md) supports none. @@ -106,6 +106,7 @@ The host is a shared, live machine: about 53 other containers, about 80 W idle p | H50o | Inside EAT's banking flow on the Xeon 6741P, against EAT's own OVMS chart (OVMS 2025.4, the tag the chart ships) instead of its vLLM chart. The chart's pull fetched `OpenVINO/gemma-4-26b-a4b-it-int4-ov` intact on k3d, but its server failed on every start while loading the model (the recorded exits are SIGSEGV), also in a plain container outside k3d, so no pair ran; the k3d-gpu arm came up in the same hold [ledger:H50o] | The EAT arm was not ready in the first hold, which the pre-registration reads as not deliverable | | H54a | Gemma 4 26B-A4B QAT single-stream on the Xeon 6741P, engine by engine. At batch 1, llama.cpp CPU on Google's QAT Q4_0 GGUF decoded ahead of k3d-gpu's OVMS arms (the QAT-matched IR and OpenVINO's published IR), and its QAT MTP drafter added a little on top. The stock arm, EAT 1.0.3's vLLM CPU v0.24.0, as this harness rendered EAT's entry, stalled mid-decode in both holds; an unscored rerun outside k3d traced the same stall to a vLLM v0.24.0 CPU attention hang fixed upstream in v0.25.0 ([vllm#45844](https://github.com/vllm-project/vllm/pull/45844)), and the holds' stalls are inferred to be it (H54 note N2); EAT 1.1.0's vLLM CPU v0.28.0 was not measured in this row; H50 ran it in EAT's banking flow (direction only; numbers in the ledger) [ledger:H54a] | The stock arm has no measured phase or score, so the pre-registered ratio and quality gate have no base; five arms were not reached in the 3-hold cap; every optimized number depends on amendment R4's void rule | | H54d | Not run: H54a chose no arm to put in EAT's banking flow [ledger:H54d] | Its arm A is undefined and its arm B is the arm that stalled | +| H54q | Gemma 4 26B-A4B on the Xeon 6741P, GSM8K items 0-199: the QAT-matched int4 IR (INT4_SYM group 32, from Google's QAT weights) against the bf16 QAT reference and OpenVINO's published base-model IR. The QAT-matched IR stayed inside the pre-registered non-inferiority margin of the bf16 reference [ledger:H54q] | The base-model IR scored no lower than the QAT-matched IR; every build sat near the item set's ceiling, too few items differed to separate them | | H56 | Two A1 banking holds at once in disjoint cpuset slices of the Xeon 6741P. All 8 holds ran; the 4 holds without a sibling are valid. No interference finding [ledger:H56] | Every hold with a sibling is VOID: a B24 block ends at its 24th task, so the sibling's block ended shortly after the measured one began. 4 VOID exceed the cap of 2 | | H54b | Qwen3.8-27B on Arc Pro B70: the best one-card arm against EAT #21's two-card XPU path. Nothing one-card was delivered: the arms on Qwen bf16 or RedHat int4 weights did not fit the disk, two OVMS arms failed on runner bugs, and llama.cpp SYCL ran on all four cards (direction only) [ledger:H54b] | Placement failure (the pinned pod saw every card) and no gate reference | | H54c | Gemma 4 QAT with routed experts in the Xeon's DRAM and the rest on a B70, against a byte-split model. The experts did run on the Xeon, but every GPU arm split its layers over four cards, so the one-card model was never tested (direction only) [ledger:H54c] | Placement failure; the CPU-only input is confounded too | diff --git a/docs/intel/upstream-eat.md b/docs/intel/upstream-eat.md index e4bd1ca5..3fd0381d 100644 --- a/docs/intel/upstream-eat.md +++ b/docs/intel/upstream-eat.md @@ -5,12 +5,35 @@ Drafted 2026-10-17. Heads re-read on 2026-10-19 with `gh api` and `git ls-remote`: EAT is unchanged and #19 is still a draft PR; EAS `main` moved from `7c02ca2` to `e8f3ebc`. Re-read on 2026-10-20: no head in the table moved. EAT #21 (Release 1.1.0) opened on 2026-10-19; see [its impact](#release-110-pr-21-impact). Re-read on 2026-10-28: #21 merged on 2026-10-22 and shipped as `release-1.1.0` (`0c726f5`). #19 merged on 2026-10-27 into the `release-2.0.0` branch, not `main`, at final head `fb59459` (merge `036b662`); no tag carries it. The EAT docs patch below now needs a re-base ([see below](#eat-patch-full-content)). EAS `main` moved from `e8f3ebc` to `890e66e`, where every EAS patch and the series still pass `apply-check.sh`. EAS #40 was closed unmerged on 2026-10-22, a minute after EAS #66 ("Integrate Agentic Toolkit", open) was opened. enterprise-inference `main` moved from `aaca1e5` to `3e8a244`; Gate 2 has not been re-run on it. Re-read on 2026-10-29: EAS #66 merged into `main` (`5767995`), where every EAS patch and the series still pass `apply-check.sh`. Its `configs/repos/repos.agent-toolkit.yaml` clones EAT at the `agentic-toolkit-migration` branch, not a tag, and it adds no `intel_gpu_plugin` role. -| Repo | Ref | SHA | -|---|---|---| -| intel/enterprise-agent-toolkit (EAT) | PR #19 head, "Migration Agentic Toolkit into Unified Convention" | `9d842f5c3b88ad2ec6ea5f7d66a003718bdac828` | -| intel/enterprise-agent-toolkit (EAT) | `main` | `0ecf67a8331e8b502ef41e08bf6d2881416178c5` | -| intel/enterprise-ai-solutions (EAS) | `main` | `e8f3ebc927a7659081f6604d157591bddfca40a9` | -| intel/enterprise-inference | `main`, cloned by `init inference` in Gate 2 | `aaca1e505a8f7947cd455d2dea5f433213a95cad` | +Re-read a second time on 2026-10-29, for [`k3d-gpu eas`](eas.md), with `git ls-remote`, `gh api` and read-only clones: + +- EAS `main` moved from `5767995` to `97f6157` (#69, a preflight retry). Every EAS patch and the series still pass `apply-check.sh` there. +- EAS tag [`v1.2.0-rc.1`](https://github.com/intel/enterprise-ai-solutions/releases/tag/v1.2.0-rc.1) (`5c27fb3`, a pre-release published 2026-10-27) is Intel's vehicle for EAT 2.0. Its release notes pin enterprise-inference `release-1.1` at `170eb3a` and EAT `release-2.0.0` at `036b662`. On it, 0002, 0003 and 0004 apply, and 0005 and 0006 do not: the `release-1.2` branch does not contain EAS #42 (`88fd2ae`), so the EnvoyProxy task is still in `roles/envoy_gateway/tasks/install.yaml#L199-L219`. The overlay in `k3d-gpu eas` carries a second 0006 variant for that file; 0005 is docs and is never applied. +- Open EAS PRs that conflict with the pack: #50 and #52 (OpenShift) move the EnvoyProxy selector into `_eg_k8s_provider`, still as `control-plane: ""`, so 0006 fails on both heads. #61 (Headlamp SSO) breaks 0002's `global_config.yaml` hunk context, 0004 and 0005; 0006 still applies on it. +- What a k3d BYO install of EAT 2.0 needs, read from source at EAS `97f6157`, EI `3e8a244` and EAT `036b662`, not run: + - **LiteLLM**: EI installs LiteLLM and Langfuse only with `auth_type: litellm_vkey`; EI's default is `jwt` (Keycloak, as in Gate 2 probe 5), and EAT's layer config sets `litellm_vkey`. So LiteLLM, its guardrail and the hybrid router come with the agent-toolkit layer. + - **agent-sandbox**: EAT installs agent-sandbox `v0.5.0` itself. A cluster where `k3d-gpu sandbox up` already installed v1.0.8 would get older CRDs and controller applied over it. + - **NFD**: EI's `nfd` role skips only when a Helm release named `node-feature-discovery` exists. k3d-gpu's NFD is a k3s manifest, so EI would install a second one unless `nfd_enabled: false`. + - **require_amx**: EI's catalog defaults to `require_amx: true`, an AMXBF16 node affinity, so on a host without AMX every model pod stays Pending (as in Gate 2 probe 5). + - **pod CIDR**: EI's LiteLLM falls back to `10.233.64.0/18` when `kubernetes_cluster_cidr` is unset, for the pod network it admits once `litellm_allow_pod_network` is on (EAT turns it on with OpenShell and then asks for the real pod CIDR on a BYO cluster). k3s defaults to `10.42.0.0/16`. + - **Kata**: the `kata_containers` role fails on any BYO cluster; it has to stay off. + - **NRI owner**: on a default k3d-gpu cluster on a hybrid or multi-NUMA host k3d-gpu owns the balloons policy, so EAS needs `kubernetes_cpu_policy: best-effort` (Gate 2 probe 6). + - **memory**: EAT's default install requests about 131 GiB, so a 128 GB node needs one of EAT's 64 GiB models. + - **version skew**: EAS installs kubectl v1.34.3 and tests Kubernetes 1.34.3; a k3d-gpu node runs k3s v1.37.1, three minors away. + - **teardown**: EAS issue #71 (open): `teardown platform` hangs on the Envoy AI Gateway CRD uninstall once a model was deployed. +- ERAG (`intel/enterprise-rag`, `main` `319eb46`, tag `v3.0.0` `25812cb`) is a further EAS layer. Its default flavour, `chatqna`, is a Xeon (CPU) deployment, the same path as the other layers; `k3d-gpu eas` does not install it yet. Its Intel GPU flavour `chatqna_intel_gpu` is EXPERIMENTAL and needs `kubernetes_accelerator: intel-gpu` with an EI vLLM-XPU runtime; none of the 33 enterprise-inference branches has that runtime. + +| Repo | Ref | SHA | Used for | +|---|---|---|---| +| intel/enterprise-agent-toolkit (EAT) | `release-2.0.0`, the merge of PR #19 | `036b66234801e9bd950afd90830821859780d668` | `k3d-gpu eas --agent-toolkit` (both profiles). Same tree as `agentic-toolkit-migration` `fb594597efd95f97376c7920a9d59ed54562f19c`, #19's final head | +| intel/enterprise-agent-toolkit (EAT) | PR #19 draft head | `9d842f5c3b88ad2ec6ea5f7d66a003718bdac828` | base of the EAT docs patch below | +| intel/enterprise-agent-toolkit (EAT) | `main` when the pack was cut | `0ecf67a8331e8b502ef41e08bf6d2881416178c5` | base of the issue draft; `main` is now `4a2e930` | +| intel/enterprise-ai-solutions (EAS) | `main` | `97f6157d6a72f7173c698c474d4e51d2c79f1fd6` | `apply-check.sh` (2026-10-29), `k3d-gpu eas` profile `main` | +| intel/enterprise-ai-solutions (EAS) | tag `v1.2.0-rc.1` | `5c27fb39a95eecec41aa4e29a1188984e9c726f3` | `k3d-gpu eas` profile `v1.2.0-rc.1` | +| intel/enterprise-ai-solutions (EAS) | `main` on 2026-10-19 | `e8f3ebc927a7659081f6604d157591bddfca40a9` | Gate 1 and Gate 2 below | +| intel/enterprise-inference | `main` | `3e8a24486b6ee812adf2bf452f8ba5751c16c8bd` | `k3d-gpu eas` profile `main` | +| intel/enterprise-inference | `release-1.1` | `170eb3abb1956de0787727f21e356aef2b13ff24` | `k3d-gpu eas` profile `v1.2.0-rc.1` | +| intel/enterprise-inference | `main`, cloned by `init inference` in Gate 2 | `aaca1e505a8f7947cd455d2dea5f433213a95cad` | Gate 2 below | ## Where the change belongs @@ -216,6 +239,8 @@ shellcheck --severity=error es_auto_installer.sh **Gate 2. Live probes on one throwaway k3d cluster.** **Status: all six ran on 2026-10-20 (UTC) on one i9-13900T host. Probes 1 and 2 found a defect in 0005, now fixed; probe 5 needed one deviation.** EAS `main` `e8f3ebc` with all five patches applied, from an Ubuntu 24.04 bastion container on the host network (`configure` supports Ubuntu and RHEL only; this host runs Manjaro). Each run took the shared live lock, used one cluster named `k3dgpu-gate2`, and deleted it afterwards. +Gate 2 covered EAS's platform and inference layers only, on EAS `e8f3ebc` and enterprise-inference `aaca1e5`. It did not install the agent-toolkit layer, which did not exist in EAS then. EAT 2.0 on k3d stays unverified until F3 ([EXPERIMENTS.md](../../EXPERIMENTS.md#f3-pre-registration-i9-13900t-2026-10-29)) has run: `k3d-gpu eas up --agent-toolkit` on one fresh cluster, graded as pre-registered. + | # | Probe | Cluster | Result | |---|---|---|---| | 1 | containerd's CNI `bin_dirs` | stock `rancher/k3s:v1.34.12-k3s1` | `["/var/lib/rancher/k3s/data/cni"]` only; `/bin` also holds the plugins, but containerd does not search it. Istio's **k3s** profile matches, its k3d profile does not | @@ -327,5 +352,6 @@ Refs intel/enterprise-ai-solutions#. | If you want to… | Go to | |---|---| | See the patch pack and its static checks | [integrations/eat/upstream/README.md](../../integrations/eat/upstream/README.md) | +| Install EAS (EAT 2.0) on k3d-gpu with these patches as an overlay | [eas.md](eas.md) | | See what was measured and how | [technical-report.md](technical-report.md) | | See EAT on k3d-gpu today | [docs/intel.md](../intel.md) | diff --git a/docs/platforms.md b/docs/platforms.md index 4c59d819..c95e972f 100644 --- a/docs/platforms.md +++ b/docs/platforms.md @@ -218,38 +218,56 @@ Simulation fixture: `tests/fixtures/xeon-dmr` (topology borrowed from ## Intel Enterprise Agent Toolkit (EAT) -EAT is a software stack, not a hardware family, so it has no fixture. Its pins: +EAT is a software stack, not a hardware family, so it has no fixture. It reaches k3d-gpu +two ways, one per EAT generation. Its pins: -- `integrations/eat/eat-up.sh` deploys the pinned tag `release-1.0.3-hotfix` - ([`0d3438d`](https://github.com/intel/enterprise-agent-toolkit/tree/0d3438d7119de44cafc5903f66665c0b623e3333)). - The latest tag is [`release-1.1.0`](https://github.com/intel/enterprise-agent-toolkit/releases/tag/release-1.1.0) +- **EAT 1.x:** `integrations/eat/eat-up.sh` deploys the pinned tag + [`release-1.1.0`](https://github.com/intel/enterprise-agent-toolkit/releases/tag/release-1.1.0) ([`0c726f5`](https://github.com/intel/enterprise-agent-toolkit/tree/0c726f576595971c53cc45b94e08ba969beb4a4a), - published 2026-10-22, [tags](https://api.github.com/repos/intel/enterprise-agent-toolkit/tags)), - the merge of [PR #21](https://github.com/intel/enterprise-agent-toolkit/pull/21). Its tree, - `04969afa`, is the same as that of #21's head `c86c42b`. + published 2026-10-22), still the latest tag on 2026-10-29 + ([tags](https://api.github.com/repos/intel/enterprise-agent-toolkit/tags)) and the merge of + [PR #21](https://github.com/intel/enterprise-agent-toolkit/pull/21). Its tree, `04969afa`, + is the same as that of #21's head `c86c42b`. Until 2026-10-29 the pin was + `release-1.0.3-hotfix` + ([`0d3438d`](https://github.com/intel/enterprise-agent-toolkit/tree/0d3438d7119de44cafc5903f66665c0b623e3333); + [compare](https://github.com/intel/enterprise-agent-toolkit/compare/0d3438d7119de44cafc5903f66665c0b623e3333...0c726f576595971c53cc45b94e08ba969beb4a4a), + 204 files). `bench/eatflow` keeps its own EAT pins (`bench/eatflow/agent.lock`). +- **EAT 2.0:** `k3d-gpu eas up --agent-toolkit` installs EAT through Intel's EAS installer + (`es_auto_installer.sh install agent-toolkit`) on the cluster. It pins EAS `main` + `97f6157`, enterprise-inference `main` `3e8a244` and EAT `release-2.0.0` `036b662` in + `integrations/eas/pins.json`, with EAS `v1.2.0-rc.1` as an opt-in profile. Choices, + patches, refusals and limits: [intel/eas.md](intel/eas.md). It has not run end to end + yet; F3 in [EXPERIMENTS.md](../EXPERIMENTS.md#f3-pre-registration-i9-13900t-2026-10-29) + is PENDING. - `docs/intel.md`, `contrib/eat/` and `integrations/eat/upstream/` read `main` at [`0ecf67a`](https://github.com/intel/enterprise-agent-toolkit/tree/0ecf67a8331e8b502ef41e08bf6d2881416178c5). -`eat-up.sh` and `brownfield.sh` stay on `release-1.0.3-hotfix` while pre-registered -ledger rows pin EAT stock at `0d3438d` (H50, H50o and H51, and `bench/apb/PROTOCOL.md` -through `eat-up.sh`). Moving them to `release-1.1.0` still needs the two checks -described below: `brownfield.sh` has to export `DEPLOY_GUARDRAILS=off`, and the vLLM -CPU image has to be re-pinned to `v0.28.0` by digest. A fresh run like H1b's then has -to pass on it [ledger:H1b]. +The `release-1.1.0` path has not run. It is pre-registered as F4 in +[EXPERIMENTS.md](../EXPERIMENTS.md#f4-pre-registration-i9-13900t-2026-10-29) and is +unverified until F4 is SUPPORTED; the run on `release-1.0.3-hotfix` passed [ledger:H1b]. +The move makes the two changes described below: `brownfield.sh` hands the config's +`deploy_guardrails` (`off` in `agentic-config.cfg`) to EAT's `DEPLOY_GUARDRAILS`, and +`vllm-values.yaml` pins the vLLM CPU image `v0.28.0` by digest. `agentic-config.cfg` also +writes `deploy_vllm_sr`, `deploy_openshell`, `deploy_kata_containers`, `deploy_ceph` and +`rack_scale_mode` out as `off`. The ledger rows that pinned EAT stock at `0d3438d` use their +own EAT checkouts and set their own vLLM image tag (H50, H50o and H51 under crescent +amendment E1, H7x under its amendment V1, and `bench/apb/h7.sh` and `arm.sh` for H7 and H8), +so the move changes none of them. `release-1.1.0` ships NVIDIA OpenShell as an opt-in component (`deploy_openshell=off` by default, [PR #14](https://github.com/intel/enterprise-agent-toolkit/pull/14)). -The pinned tag has no OpenShell role, so `eat-up.sh` stops on a config that sets -`deploy_openshell=on` instead of letting the tag skip the key. Upstream lists a CNI +It has not run on a k3d-gpu cluster, so `eat-up.sh` stops on a config that sets +`deploy_openshell=on` before it touches the cluster. Upstream lists a CNI that enforces `NetworkPolicy` and best-effort Landlock as OpenShell requirements -([docs/openshell.md](https://github.com/intel/enterprise-agent-toolkit/blob/0ecf67a8331e8b502ef41e08bf6d2881416178c5/docs/openshell.md)). -k3d-gpu adds no OpenShell checks while `eat-up.sh` stays on the pinned tag. +([docs/openshell.md](https://github.com/intel/enterprise-agent-toolkit/blob/0c726f576595971c53cc45b94e08ba969beb4a4a/docs/openshell.md)). +k3d-gpu adds no OpenShell checks; enabling it needs its own ledger row first. Upstream work that changes this integration: - [EAT PR #19](https://github.com/intel/enterprise-agent-toolkit/pull/19) replaces `deploy-agentic-stack.sh` with `es_auto_installer.sh install agent-toolkit`. It merged - on 2026-10-27 into the `release-2.0.0` branch, not `main`, and no tag carries it yet. + on 2026-10-27 into the `release-2.0.0` branch, not `main`, and no EAT tag carries it yet; + EAS's pre-release `v1.2.0-rc.1` pins it. `k3d-gpu eas` is the EAT 2.0 path. The status of each EAT PR is in the table below. - [enterprise-inference PR #22](https://github.com/intel/enterprise-inference/pull/22) merged on 2026-10-22 as "Integrate Agentic toolkit" (`4bc7fed`), the inference-layer @@ -267,14 +285,16 @@ Upstream work that changes this integration: Read with `gh`, `git ls-remote` and a read-only clone only. EAT `main` is `4a2e930`: `release-1.1.0` plus the architecture diagram from [#27](https://github.com/intel/enterprise-agent-toolkit/pull/27). -`release-1.0.3-hotfix` still points at `0d3438d`. +`release-1.0.3-hotfix` still points at `0d3438d`; `eat-up.sh` moved from it to +`release-1.1.0` on 2026-10-29, and `k3d-gpu eas` took over EAT 2.0. The #19 and #21 rows +were re-read that day; EAT `main` was still `4a2e930`. | PR | Head | What it changes | Impact on k3d-gpu | Action | |---|---|---|---|---| | [#5](https://github.com/intel/enterprise-agent-toolkit/pull/5) Bitnami to SolDevelo images | `fcec7ef`, rebased onto `main` | `bitnami/kubectl:latest` becomes `soldevelo/kubectl:1.29` in the GenAI Gateway restore job, and `bitnamilegacy/minio:2024.12.18` becomes `soldevelo/minio:2024.12.18` in `docker/docker-compose.yml` | None. Neither line runs on our path: `restoreJob.enabled` is `false`, and `eat-up.sh` does not use EAT's Docker Compose mode. Every Bitnami image our path renders pulled on 2026-10-18 (`docker manifest inspect`, amd64 and arm64). See the note below | None. Recheck if a `bitnamilegacy` pull fails | -| [#19](https://github.com/intel/enterprise-agent-toolkit/pull/19) unified convention | Merged 2026-10-27 into `release-2.0.0`, not `main`: final head `fb59459`, merge `036b662`, no tag | Deletes `deploy-agentic-stack.sh`, `core/lib` (the brownfield path with it), `core/playbooks` and `core/roles`; installs through EAS `es_auto_installer.sh`. `release-2.0.0`'s README says Intel Arc (XPU) deployment is not in that release | Ends the path `eat-up.sh` uses, once a tag ships it. The drafted EAT docs patch in [upstream-eat.md](intel/upstream-eat.md) passes `git apply --check` on the draft head `9d842f5` but not on `fb59459` or `036b662`, so it needs a re-base before it is sent | Keep `eat-up.sh` on the tag. Move to the EAS BYO path after a tag that includes #19 | +| [#19](https://github.com/intel/enterprise-agent-toolkit/pull/19) unified convention | Merged 2026-10-27 into `release-2.0.0`, not `main`: final head `fb59459`, merge `036b662`, no tag | Deletes `deploy-agentic-stack.sh`, `core/lib` (the brownfield path with it), `core/playbooks` and `core/roles`; installs through EAS `es_auto_installer.sh`. `release-2.0.0`'s README says Intel Arc (XPU) deployment is not in that release | `eat-up.sh` cannot deploy it: the brownfield path it drives is gone. `k3d-gpu eas up --agent-toolkit` installs it through the EAS bring-your-own-cluster path at `036b662`, the commit EAS `v1.2.0-rc.1` pins too; read from source, F3 PENDING. The drafted EAT docs patch in [upstream-eat.md](intel/upstream-eat.md) passes `git apply --check` on the draft head `9d842f5` but not on `fb59459` or `036b662`, so it needs a re-base before it is sent | EAT 2.0: `k3d-gpu eas up --agent-toolkit` ([intel/eas.md](intel/eas.md)). EAT 1.x stays on `eat-up.sh` | | [#20](https://github.com/intel/enterprise-agent-toolkit/pull/20) OpenClaw operator | `10deb6d`, on #19's branch `agentic-toolkit-migration` (forked at `dab3a98`, before #19's final head) | Optional `openclaw_operator` role (`claw_enabled: false`): operator chart and image `0.38.3` pinned by digest, 3 CRDs (`openclaw.rocks/v1alpha1`). It also adds a `cosign verify` of the chart and the operator image when `cosign` is on the installer's `PATH` (`openclaw_operator_cosign_required: false` by default) | Not reachable from the pinned tag. The operator itself fits one k3d-gpu node: CPU only (100m / 128Mi request), no GPU, no webhook, `kubeVersion >=1.28`, and both images publish amd64. Its example instance is the gap (see below) | None until #19 and #20 reach a tag | -| [#21](https://github.com/intel/enterprise-agent-toolkit/pull/21) Release 1.1.0 | Merged 2026-10-22 as `0c726f5` and released as `release-1.1.0`; head `c86c42b`, 204 files against `release-1.0.3-hotfix` | Keeps the old layout (`deploy-agentic-stack.sh`, `core/lib`); adds Qwen3Guard guardrails (on by default), Kata sandboxes (`kata-fc` Firecracker and `kata-qemu`), vLLM Semantic Router, rack-scale mode, an NVIDIA B300 profile, and an Arc B60/B70 XPU path (`compute_platform=xpu`); OVMS as a Docker engine; vLLM CPU image `v0.24.0` to `v0.28.0`; NRI balloons role reworked into NUMA-aware per-node policies | None on the pinned tag. On `release-1.1.0`: `core/lib/brownfield/` and `deploy-genai-gateway.yml` are unchanged, every function `brownfield.sh` calls still exists, and `gateway-charts.py` runs clean on its charts. Two changes would bite, and the XPU path would overlap what k3d-gpu already installs; all read from source, not run (see below) | Before moving `eat-up.sh` to `release-1.1.0`: turn the guardrail off and re-pin the vLLM image. Validation on 4x Arc Pro B70 is in progress, no results yet | +| [#21](https://github.com/intel/enterprise-agent-toolkit/pull/21) Release 1.1.0 | Merged 2026-10-22 as `0c726f5` and released as `release-1.1.0`; head `c86c42b`, 204 files against `release-1.0.3-hotfix` | Keeps the old layout (`deploy-agentic-stack.sh`, `core/lib`); adds Qwen3Guard guardrails (on by default), Kata sandboxes (`kata-fc` Firecracker and `kata-qemu`), vLLM Semantic Router, rack-scale mode, an NVIDIA B300 profile, and an Arc B60/B70 XPU path (`compute_platform=xpu`); OVMS as a Docker engine; vLLM CPU image `v0.24.0` to `v0.28.0`; NRI balloons role reworked into NUMA-aware per-node policies | `eat-up.sh` deploys it since 2026-10-29. `core/lib/brownfield/` and `deploy-genai-gateway.yml` are unchanged, every function `brownfield.sh` calls still exists, and `gateway-charts.py` runs clean on its charts. Two changes needed handling (the guardrail and the vLLM image), and the XPU path would overlap what k3d-gpu already installs; all read from source, not run (see below) | Done 2026-10-29: `eat-up.sh` deploys `release-1.1.0` with the guardrail and the other new components off and the vLLM CPU image re-pinned to `v0.28.0` by digest; the path is pre-registered as F4, not yet run. Validation on 4x Arc Pro B70 is in progress, no results yet | | [#22](https://github.com/intel/enterprise-agent-toolkit/pull/22)-[#26](https://github.com/intel/enterprise-agent-toolkit/pull/26) agent toolkit stack | `a627fad`, `a32c5aa`, `9edf77d`, `6dfbcbc`, `7cc4344`, stacked on #20, base `agentic-toolkit-migration` | `Agent`, `AgentGrant` and `Tool` CRDs (`intel-stack.io`) with an agent operator (#22); per-agent memory (#23); sandbox, GitHub and web tools for agents (#24); an agent REST API (#25); a browser console and agent dashboards (#26). Its images are built into an in-cluster registry (`registry.kube-system.svc.cluster.local:5000`, the `kubernetes_registry_enabled` add-on) | Not reachable from the pinned tag. The stack claims sandboxes through `SandboxClaim` at `extensions.agents.x-k8s.io/v1beta1`, the version k3d-gpu's agent-sandbox v1.0.7 serves. Read from source, not run | None until the stack reaches a tag | Bitnami images on the pinned path. `deploy-genai-gateway.yml` runs `helm dependency update` @@ -303,7 +323,8 @@ Rendered with Helm v3.14.0, the pinned charts differ from EAT's only in the 11 ` What #21 (`c86c42b`) changes for `eat-up.sh`, compared with `release-1.0.3-hotfix`. It applies verbatim to `release-1.1.0`, whose tree is `c86c42b`'s. Read from a read-only -clone; nothing here has run against a 1.1.0 stack. +clone; nothing here has run against a 1.1.0 stack. The guardrail and vLLM-image items are +the two the move of `eat-up.sh` to `release-1.1.0` had to handle. - Unchanged: `core/lib/brownfield/` (so the `5 / 1 / yes` prompt answers), `core/playbooks/deploy-genai-gateway.yml` (so the `helm_charts_base_genai{,_trace}` @@ -320,15 +341,23 @@ clone; nothing here has run against a 1.1.0 stack. at top level (line 195), which runs when `brownfield.sh` sources it. The `deploy_guardrails` key in `agentic-config.cfg` is read only inside `main()` (line 1138), which a sourced run skips. `fresh-install.sh` (line 419) then deploys the `Qwen/Qwen3Guard-Gen-0.6B` guard. - `brownfield.sh` would have to export `DEPLOY_GUARDRAILS=off` to keep today's stack. + `brownfield.sh` now reads `deploy_guardrails` from the config, as `read_config_file` reads + every other toggle, and exports `DEPLOY_GUARDRAILS` before it sources the script; + `agentic-config.cfg` sets it `off`. - vLLM image. #21's `xeon-values.yaml` (line 34) moves `vllm/vllm-openai-cpu` from - `v0.24.0` to `v0.28.0`. `vllm-values.yaml` merges over it with no tag check, so it would - keep `v0.24.0` by digest under 1.1.0's model configs. Re-pin it with the bump. + `v0.24.0` to `v0.28.0`. `vllm-values.yaml` merges over it with no tag check, so it now + pins `v0.28.0` by digest (`sha256:197354e6...df9647`, Docker Hub, read 2026-10-29). - New `agentic-config.cfg` keys (`deploy_kata_containers`, `kata_runtime`, `deploy_ceph`, `rack_scale_mode`, `deploy_guardrails`, `deploy_vllm_sr`, `deploy_openshell`) are all - opt-in except `deploy_guardrails`. The NRI balloons role is reworked (`install_nri.yaml` - removed); `eat-up.sh` keeps `deploy_nri_balloon_policy=off`, so k3d-gpu's policy stays the - only one. + opt-in except `deploy_guardrails`. k3d-gpu's `agentic-config.cfg` writes each toggle out + as `off`. The NRI balloons role is reworked (`install_nri.yaml` removed); `eat-up.sh` + keeps `deploy_nri_balloon_policy=off`, so k3d-gpu's policy stays the only one. +- The gateway's config moves to `/app/proxy_config.yaml` through a `subPath` mount, so an edit + to the `genai-gateway-config` ConfigMap reaches LiteLLM only after the pod restarts; + `eat-remote.sh` already restarts it. Every name the hybrid-router callback imports from or + patches in LiteLLM is defined at the pinned `v1.83.14-stable.patch.2` + ([`router.py`](https://github.com/BerriAI/litellm/blob/b36fb1dc191620e8ff2b3a43854c05f5189cd813/litellm/router.py): + `_is_auto_router_deployment`, `_add_deployment`, `async_pre_routing_hook`). - #21 does not contain #19: it keeps `deploy-agentic-stack.sh`, which #19 deletes. #21's XPU path (`compute_platform=xpu`, `docs/intel-arc-xpu-deployment.md`), set against @@ -360,7 +389,7 @@ B70 runs land: Gaps for the #20 example instance (`docs/examples/openclaw-instance.yaml`) on k3d-gpu: - It calls the EAS inference layer's `ai-gateway` in `envoy-gateway-system`. The - `release-1.0.3-hotfix` stack has LiteLLM behind ingress-nginx instead, so `baseUrl` + `release-1.1.0` stack `eat-up.sh` deploys has LiteLLM behind ingress-nginx instead, so `baseUrl` has to change. - Its namespace joins the Istio ambient mesh, and its egress rule names HBONE port 15008. A k3d-gpu cluster has no Istio, and k3s enforces `NetworkPolicy` by default. Without the mesh, the diff --git a/images.lock b/images.lock index c08012c1..a7b8bdb7 100644 --- a/images.lock +++ b/images.lock @@ -276,12 +276,12 @@ "tag": "3.10.2" }, { - "digest": "sha256:b0e6f8604413a8bfcca8836bb4b57b47f1aa653957e07f8903ece531309981a1", + "digest": "sha256:197354e6475e638eb5ccca09beb078488046a82de0e204e7429bf1a804df9647", "name": "docker.io/vllm/vllm-openai-cpu", "sources": [ "integrations/eat/vllm-values.yaml" ], - "tag": "v0.24.0" + "tag": "v0.28.0" }, { "digest": "sha256:ffaba3989b9b96d95a576143c872a4110ce9800f5199b6a36eb27bdff1cbbe05", diff --git a/integrations/eas/eas-config.py b/integrations/eas/eas-config.py new file mode 100755 index 00000000..1e76cd82 --- /dev/null +++ b/integrations/eas/eas-config.py @@ -0,0 +1,655 @@ +#!/usr/bin/env python3 +"""Facts about a k3d-gpu cluster in, the configuration Intel's Enterprise AI Solutions +installer (EAS, es_auto_installer.sh) needs for it out. + +Pure: reads a facts JSON (gathered read-only from the cluster and the host), the pins +file and the flags, and writes, under --out: + + k3d-gpu-overrides.yaml ansible extra vars, passed last to `install` so they win + global_config.edit.yaml keys for env/k3d-gpu/global_config.yaml (existing_kubernetes + is read from that file only) + models.edit.yaml edits to env/k3d-gpu/models.yaml, which model-manager reads: + defaults merge; each models entry matches a catalog entry by + name, its env merges and its args_append goes after its args + repos..yaml the layer manifest's revs, as commit SHAs + choices.txt one line per choice: -> [] + +and prints choices.txt. --explain prints each source as a full permalink instead. +A refusal prints REFUSE lines on stderr, writes nothing (and removes these files if a +previous run left them in --out) and exits 3; bad input exits 2. +Strings are written double-quoted; booleans and lists keep their YAML types, because +ansible-core 2.19 rejects a quoted "false" in a conditional. + + eas-config.py --facts FACTS --out DIR [--layer inference|agent-toolkit|erag] + [--eas-ref PROFILE|SHA] [--ei-ref SHA] [--eat-ref SHA] + [--model NAME] [--pins FILE] [--explain] + eas-config.py --list-sources + +Facts (schema k3d-gpu.eas-facts/v1), each gathered read-only: + cluster the k3d-gpu cluster name + server_version the API server's gitVersion + docker_rootless docker info lists the rootless security option + nri_socket /var/run/nri/nri.sock exists in the server node container + containerd_cni_bin_dirs crictl info .config.cni.binDirs in the server node container + host {mem_available_kib, inotify_max_user_instances, inotify_max_user_watches} + nodes [{name, labels, annotations, allocatable}] (kubectl get nodes) + namespaces [name] (kubectl get namespaces) + daemonsets [{namespace, name, labels, annotations}] (kubectl get daemonsets -A) + agent_sandbox null without the sandboxes.agents.x-k8s.io CRD, else {controller_image} + fit {Hugging Face id: the `k3d-gpu fit --engine vllm --device cpu --json` + document, or null when fit could not size it} + +Python standard library only. +""" + +import argparse +import json +import os +import re +import sys + +FACTS_SCHEMA = "k3d-gpu.eas-facts/v1" +PINS_SCHEMA = "k3d-gpu.eas-pins/v1" +ENV_NAME = "k3d-gpu" # es_auto_installer.sh init --env k3d-gpu +KUBE_MOUNT = "/kube/config" # where the bastion mounts the cluster's kubeconfig +EAT_SANDBOX_VERSION = "v0.5.0" # EAT config.yaml:56 at 036b662 +K3D_GPU_SANDBOX_NS = "agent-sandbox" # share/agent-sandbox-k3d.yml: only k3d-gpu's profile makes it +AMX_LABEL = "feature.node.kubernetes.io/cpu-cpuid.AMXBF16" +K3S_ADDON = "k3s.cattle.io/v1, Kind=Addon" +LAYER_REPOS = {"inference": ["ei"], "agent-toolkit": ["ei", "eat"]} +REPO_LAYER = {"ei": "inference", "eat": "agent-toolkit"} + +# EAT's single-node sizing: a node needs the model's memory request plus about 17 GiB +# for the rest of the stack, 16 GiB for Qwen3Guard and 2 GiB for the router. +STACK_GIB, GUARD_GIB, ROUTER_GIB = 17, 16, 2 +# EAT's default model, then its documented 64 GiB fallbacks, in its order: (catalog name, +# Hugging Face id, memory GiB, VLLM_CPU_KVCACHE_SPACE GiB, source of both in the catalog). +# The same at EI 3e8a244 and 170eb3a. The catalog's memory is the pod's request and its +# limit (model_manager/templates/llm-inference-service.yaml), while k3d-gpu fit sizes the +# KV cache against the host, so fit may lower the catalog's KV cache but never raise it. +# fit sizes it for its own --max-model-len, and the catalog sets none (vLLM then serves +# the model's own context, 131072 tokens for Llama 3.1), so a lowered KV cache carries +# fit's --max-model-len: vLLM will not start when one request does not fit the cache. +CANDIDATES = [ + ("qwen2-5-coder-14b", "Qwen/Qwen2.5-Coder-14B-Instruct", 96, 40, "kv_qwen14"), + ("qwen2-5-coder-7b", "Qwen/Qwen2.5-Coder-7B-Instruct", 64, 40, "kv_qwen7"), + ("llama-3-1-8b", "meta-llama/Llama-3.1-8B-Instruct", 64, 40, "kv_llama8"), +] + +_EAS = "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/" +_EI = "https://github.com/intel/enterprise-inference/blob/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/" +_EAT = "https://github.com/intel/enterprise-agent-toolkit/blob/036b66234801e9bd950afd90830821859780d668/" +# k3s v1.37.1+k3s1, the Dockerfile's K3S_TAG. +_K3S = "https://github.com/k3s-io/k3s/blob/356c025475bbefaa09cf0d7e48e8e2adbbde57db/" +_K3D_GPU = "https://github.com/88plug/k3d-gpu/blob/d997ea891cd7288eead48d428886607590299a9b/" + +# Every source a choice can cite: a permalink at the tree it was read from (2026-10-29). +SOURCES = { + "byo_kubeconfig": _EAS + "es_auto_installer.sh#L1342-L1358", + "istio_k3d": _K3D_GPU + "docs/intel/upstream-eat.md#L222", + "istio_k3s": _K3D_GPU + "docs/intel/upstream-eat.md#L221", + "istio_default": _K3D_GPU + "integrations/eat/upstream/patches/0002-eas-istio-global-platform.patch#L8-L9", + "istio_profiles": _K3D_GPU + "integrations/eat/upstream/patches/0002-eas-istio-global-platform.patch#L6-L11", + "metallb": _EAS + "roles/metallb/tasks/install.yaml#L23-L31", + "gateway_lb": _EAS + "roles/metallb/tasks/install.yaml#L94", + "cpu_baked": _K3D_GPU + "docs/intel/upstream-eat.md#L231", + "cpu_rootless": _K3S + "pkg/agent/templates/templates.go#L322-L325", + "cpu_best_effort": _EAS + "playbooks/includes/preflight.yaml#L264-L270", + "cpu_nri": _EAS + "configs/defaults/global_config.yaml#L99-L104", + "overlay_0003": _EAS + "roles/nri_cpu_balloons/tasks/install_advanced.yaml#L197-L205", + "nfd": _EI + "roles/nfd/tasks/install.yaml#L15-L25", + "amx_yes": _EI + "model_manager/models.yaml#L20", + "amx_no": _EI + "model_manager/core/renderer.py#L90-L95", + "sgl_kernel": "https://github.com/vllm-project/vllm/blob/2cf0a6915ce544dc493a0990f2ea38d81601128a/" + "vllm/model_executor/layers/utils.py#L238-L244", + "kv_max_len": "https://github.com/vllm-project/vllm/blob/2cf0a6915ce544dc493a0990f2ea38d81601128a/" + "vllm/v1/core/kv_cache_utils.py#L747-L767", + "cluster_cidr": _K3S + "pkg/cli/cmds/server.go#L137-L141", + "service_cidr": _K3S + "pkg/cli/cmds/server.go#L142-L146", + "kata": _EAS + "roles/kata_containers/tasks/install.yaml#L9-L22", + "accel_cpu": _EAS + "configs/defaults/global_config.yaml#L106", + "accel_xpu": _EAT + "README.md#L36", + "sandbox": _EAT + "config.yaml#L56", + "sizing": _EAT + "docs/single-node-deployment.md#L84", + "autodeploy": _EAT + "config.yaml#L32-L35", + "autodeploy_ei": _EI + "roles/llm_services/defaults/main.yaml#L84", + "kv_qwen14": _EI + "model_manager/models.yaml#L302-L311", + "kv_qwen7": _EI + "model_manager/models.yaml#L262-L271", + "kv_llama8": _EI + "model_manager/models.yaml#L148-L156", + "guardrails": _EAT + "config.yaml#L25-L26", + "hybrid_router": _EAT + "config.yaml#L27-L28", + "cores": _EAT + "docs/prerequisites.md#L7", + "inotify": _EAT + "docs/prerequisites.md#L22-L32", + "erag_gpu": "https://github.com/intel/enterprise-rag/blob/319eb4652565fed42de9d601c61f9862b3759dfb/" + "deployment/pipelines/chatqna_intel_gpu/config.yaml#L8-L15", + "ei_runtimes": "https://github.com/intel/enterprise-inference/tree/3e8a24486b6ee812adf2bf452f8ba5751c16c8bd/" + "model_manager/runtimes", + "eat1_gateway": _K3D_GPU + "integrations/eat/eat-remote.sh#L42", + "eat1_ingress": _K3D_GPU + "integrations/eat/eat-check.sh#L39-L43", +} + +INOTIFY_MIN = (("max_user_instances", 8192), ("max_user_watches", 1048576)) +OUTPUTS = ("choices.txt", "k3d-gpu-overrides.yaml", "global_config.edit.yaml", "models.edit.yaml") +EAT_MIN_CORES = 48 + + +class InputError(Exception): + pass + + +def short(url): + """The short form of a permalink: owner/repo@sha7 path:lines; anything else as is.""" + m = re.fullmatch(r"https://github\.com/([^/]+/[^/]+)/(?:blob|tree)/([0-9a-f]{40})/([^#]+)" + r"(?:#L(\d+)(?:-L(\d+))?)?", url) + if m: + repo, sha, path, a, b = m.groups() + lines = "" if a is None else ":" + a + ("-" + b if b else "") + return f"{repo}@{sha[:7]} {path}{lines}" + return url + + +def gib(quantity): + """A Kubernetes memory quantity in GiB.""" + m = re.fullmatch(r"(\d+(?:\.\d+)?)([KMGTPE]i|[kMGTPE])?", str(quantity)) + if not m: + raise InputError(f"memory quantity {quantity!r} is not a Kubernetes quantity") + n, unit = float(m.group(1)), m.group(2) or "" + mult = {"": 1, "k": 1e3, "M": 1e6, "G": 1e9, "T": 1e12, "P": 1e15, "E": 1e18, + "Ki": 2**10, "Mi": 2**20, "Gi": 2**30, "Ti": 2**40, "Pi": 2**50, "Ei": 2**60}[unit] + return n * mult / 2**30 + + +def cpus(quantity): + q = str(quantity) + return int(q[:-1]) / 1000 if q.endswith("m") else float(q) + + +def num(x): + """125.33 -> '125.3', 512.0 -> '512'.""" + s = f"{x:.1f}" + return s[:-2] if s.endswith(".0") else s + + +def node_args(node): + """k3s.io/node-args as a list. k3s writes each --flag=value as two entries, the flag + and its value (pkg/nodeconfig/nodeconfig.go#L30-L51 at v1.37.1+k3s1).""" + raw = (node.get("annotations") or {}).get("k3s.io/node-args") + if not raw: + return [] + try: + args = json.loads(raw) + except ValueError as e: + raise InputError(f"node {node.get('name')}: k3s.io/node-args is not JSON: {e}") from e + if not isinstance(args, list): + raise InputError(f"node {node.get('name')}: k3s.io/node-args is not a JSON list") + return args + + +def flag_values(args, flag): + vals = [] + for i, a in enumerate(args): + if a == flag and i + 1 < len(args): + vals.append(args[i + 1]) + return vals + + +def owner(ds): + """Who created a DaemonSet: a k3s addon (what k3d-gpu bakes), a Helm release, or neither. + k3d-gpu bakes the nri-plugins chart's rendered output, so its DaemonSet carries Helm's + labels too; the k3s addon annotation decides.""" + ann = ds.get("annotations") or {} + if ann.get("objectset.rio.cattle.io/owner-gvk") == K3S_ADDON: + return "k3s addon " + ann.get("objectset.rio.cattle.io/owner-name", "?") + if ann.get("meta.helm.sh/release-name"): + return "Helm release " + ann["meta.helm.sh/release-name"] + return "another owner" + + +def image_tag(image): + ref = (image or "").split("@", 1)[0] + name = ref.rsplit("/", 1)[-1] + return name.split(":", 1)[1] if ":" in name else "unknown" + + +def load_json(path, what): + try: + with open(path) as fh: + return json.load(fh) + except (OSError, ValueError) as e: + raise InputError(f"cannot read {what} {path}: {e}") from e + + +def resolve_pins(pins, eas_ref, ei_ref, eat_ref): + """(profile name, {name: row}) for the eas, ei and eat checkouts.""" + if pins.get("schema") != PINS_SCHEMA: + raise InputError(f"pins file schema is {pins.get('schema')!r}, want {PINS_SCHEMA}") + rows = pins["pins"] + profiles = sorted({r["profile"] for r in rows if r["name"] in ("eas", "ei", "eat")}) + sha = re.compile(r"[0-9a-f]{40}") + ref = eas_ref or pins["default_profile"] + if ref in profiles: + profile = ref + chosen = {r["name"]: dict(r) for r in rows if r["profile"] == ref and r["name"] in ("eas", "ei", "eat")} + elif sha.fullmatch(ref): + profile = pins["default_profile"] + chosen = {r["name"]: dict(r) for r in rows if r["profile"] == profile and r["name"] in ("eas", "ei", "eat")} + chosen["eas"].update(ref=ref, sha=ref, source="--eas-ref") + profile = "custom" + else: + raise InputError(f"--eas-ref {ref} is not a profile in pins.json ({', '.join(profiles)}) and not a " + "commit SHA; resolve it first (git ls-remote)") + for name, given in (("ei", ei_ref), ("eat", eat_ref)): + if given is None: + continue + if not sha.fullmatch(given): + raise InputError(f"--{name}-ref {given} is not a commit SHA; resolve it first (git ls-remote)") + chosen[name].update(ref=given, sha=given, source=f"--{name}-ref") + return profile, chosen + + +class Plan: + def __init__(self): + self.lines = [] # (fact, choice, SOURCES key, permalink or plain text) + self.warns = [] + self.refusals = [] + self.overrides = [] # (key, python value) + self.require_amx = None + self.model_env = [] # (model, env key, value) + self.model_args = [] # (model, [args appended to its catalog args]) + + def choose(self, fact, choice, src): + self.lines.append((fact, choice, src)) + + def warn(self, fact, advice, src): + self.warns.append(("WARN: " + fact, advice, src)) + + def refuse(self, fact, reason, src): + self.refusals.append(("REFUSE: " + fact, reason, src)) + + def set(self, key, value): + self.overrides.append((key, value)) + + +def clear_outputs(out): + """Remove this generator's files from a previous run, so a stale config is never applied.""" + if not os.path.isdir(out): + return + for name in os.listdir(out): + if name in OUTPUTS or re.fullmatch(r"repos\.[a-z-]+\.yaml", name): + os.remove(os.path.join(out, name)) + + +def src_url(src): + return SOURCES.get(src, src) + + +def render(entries, explain): + out = [] + for fact, choice, src in entries: + url = src_url(src) + shown = url if explain else short(url) + out.append(f"{fact} -> {choice} [{shown}]") + return out + + +def yaml_scalar(v): + if isinstance(v, bool): + return "true" if v else "false" + if isinstance(v, list): + return "[" + ", ".join(yaml_scalar(x) for x in v) + "]" + return json.dumps(str(v)) + + +def plan(facts, layer, pins, model_flag): + p = Plan() + nodes = facts["nodes"] + namespaces = set(facts.get("namespaces") or []) + daemonsets = facts.get("daemonsets") or [] + args = [node_args(n) for n in nodes] + + # --- refusals: collected, then nothing is written if any --- + if layer == "erag": + p.refuse("--layer erag", "not wired yet: ERAG's Intel GPU flavour chatqna_intel_gpu is EXPERIMENTAL and " + "needs kubernetes_accelerator=intel-gpu", "erag_gpu") + p.refuse("--layer erag", "enterprise-inference ships no vllm-xpu runtime for it (model_manager/runtimes " + "holds openvino and vllm)", "ei_runtimes") + disabled = {c for a in args for v in flag_values(a, "--disable") for c in v.split(",")} + if "servicelb" in disabled: + p.refuse("k3s.io/node-args has --disable servicelb", "recreate the cluster without --disable=servicelb: " + "EAS's gateway needs a LoadBalancer address", "gateway_lb") + bin_dirs = facts.get("containerd_cni_bin_dirs") or [] + # Istio's cni chart mounts one bin dir per platform profile: k3d /bin (a symlink to + # /usr/bin in k3d-gpu's node image), k3s /var/lib/rancher/k3s/data/cni, none /opt/cni/bin. + istio = None + for d in bin_dirs: + if d in ("/usr/bin", "/bin"): + istio = ("k3d", "(needs overlay 0002)", "istio_k3d") + elif d.startswith("/var/lib/rancher/k3s/data"): + istio = ("k3s", "(needs overlay 0002)", "istio_k3s") + elif d == "/opt/cni/bin": + istio = ("", "(Istio's default CNI paths)", "istio_default") + if istio: + break + if istio is None: + p.refuse(f"containerd CNI bin_dirs {json.dumps(bin_dirs)}", "matches no Istio platform profile EAS can " + "pass (k3d: /bin, k3s: /var/lib/rancher/k3s/data/cni, default: /opt/cni/bin), so ambient " + "mode could not chain into the CNI", "istio_profiles") + if "genai-gateway" in namespaces: + p.refuse("namespace genai-gateway (EAT 1.x LiteLLM, eat-up.sh)", "tear the EAT 1.x stack down first " + "(k3d-gpu down resets the cluster): both stacks would own LiteLLM", "eat1_gateway") + if "ingress-nginx" in namespaces: + p.refuse("namespace ingress-nginx (EAT 1.x ingress, eat-up.sh)", "remove it first: its controller binds " + "host ports 80 and 443, which EAS's gateway takes through ServiceLB", "eat1_ingress") + sandbox = facts.get("agent_sandbox") # null without the agent-sandbox CRD + if layer == "agent-toolkit" and sandbox: + tag = image_tag(sandbox.get("controller_image")) + if K3D_GPU_SANDBOX_NS in namespaces: + p.refuse(f"agent-sandbox {tag} from k3d-gpu sandbox up (namespace {K3D_GPU_SANDBOX_NS})", + f"run 'k3d-gpu sandbox down' first: EAT installs agent-sandbox {EAT_SANDBOX_VERSION} over " + "the same CRDs", "sandbox") + elif tag != EAT_SANDBOX_VERSION: + p.refuse(f"agent-sandbox {tag} installed", f"remove it first: EAT installs agent-sandbox " + f"{EAT_SANDBOX_VERSION} over the same CRDs", "sandbox") + if p.refusals: + return p + + # --- choices --- + p.choose(f"cluster {facts['cluster']}, kubeconfig mounted read-only at {KUBE_MOUNT}", + f"existing_kubernetes: {KUBE_MOUNT}", "byo_kubeconfig") + + platform = istio[0] or '""' + p.choose(f"containerd CNI bin_dirs {json.dumps(bin_dirs)}", f"istio_platform: {platform} {istio[1]}", istio[2]) + p.set("istio_platform", istio[0]) + + p.choose("ServiceLB on (no --disable servicelb in k3s.io/node-args)", "metallb_enabled: false", "metallb") + p.set("metallb_enabled", False) + + balloons = [d for d in daemonsets if d.get("name") == "nri-resource-policy-balloons"] + baked = [d for d in balloons if not owner(d).startswith("Helm release")] + if baked: + d = baked[0] + p.choose(f"DaemonSet {d['namespace']}/{d['name']} from {owner(d)}", + "kubernetes_cpu_policy: best-effort (one NRI policy per node)", "cpu_baked") + policy = "best-effort" + elif facts.get("docker_rootless"): + p.choose("rootless Docker (k3s turns containerd NRI off in a user namespace)", + "kubernetes_cpu_policy: best-effort", "cpu_rootless") + policy = "best-effort" + elif not facts.get("nri_socket"): + p.choose("no /var/run/nri/nri.sock in the node (containerd NRI off)", + "kubernetes_cpu_policy: best-effort", "cpu_best_effort") + policy = "best-effort" + else: + if balloons: + d = balloons[0] + p.choose(f"DaemonSet {d['namespace']}/{d['name']} from {owner(d)}", + "kubernetes_cpu_policy: nri-balloons (EAS upgrades its own release)", "cpu_nri") + else: + p.choose("no NRI policy on the node, containerd NRI on", + "kubernetes_cpu_policy: nri-balloons (EAS installs the balloons policy)", "cpu_nri") + p.choose("kubernetes_cpu_policy nri-balloons", + "overlay 0003: needed (pins the nri-plugins chart EAS installs unpinned)", "overlay_0003") + policy = "nri-balloons" + p.set("kubernetes_cpu_policy", policy) + + # EI's role skips the install only for a Helm release named node-feature-discovery. + nfd = [d for d in daemonsets if d.get("namespace") == "node-feature-discovery"] + if nfd and owner(nfd[0]) != "Helm release node-feature-discovery": + d = nfd[0] + p.choose(f"DaemonSet {d['namespace']}/{d['name']} from {owner(d)}", + "nfd_enabled: false (EI would install a second NFD)", "nfd") + p.set("nfd_enabled", False) + elif nfd: + d = nfd[0] + p.choose(f"DaemonSet {d['namespace']}/{d['name']} from {owner(d)}", + "nfd_enabled: true (EI's own release; its role skips the install)", "nfd") + p.set("nfd_enabled", True) + else: + p.choose("no NFD in namespace node-feature-discovery", "nfd_enabled: true (EI installs NFD)", "nfd") + p.set("nfd_enabled", True) + + amx = [n["name"] for n in nodes if (n.get("labels") or {}).get(AMX_LABEL) == "true"] + if amx: + p.choose(f"node {', '.join(amx)} labelled {AMX_LABEL}=true", "defaults.require_amx: true", "amx_yes") + else: + p.choose(f"no node labelled {AMX_LABEL}=true", + "defaults.require_amx: false (true leaves model pods Pending)", "amx_no") + p.choose("no node with AMXBF16", "VLLM_CPU_SGL_KERNEL: as shipped (vLLM v0.28.0 checks for AMX before " + "it uses the SGL kernel)", "sgl_kernel") + p.require_amx = bool(amx) + + for flag, key, default, src in (("--cluster-cidr", "kubernetes_cluster_cidr", "10.42.0.0/16", "cluster_cidr"), + ("--service-cidr", "kubernetes_service_cidr", "10.43.0.0/16", "service_cidr")): + given = [v for a in args for v in flag_values(a, flag)] + if given: + cidr = given[0].split(",")[0] + p.choose(f"k3s.io/node-args {flag} {given[0]}", f"{key}: {cidr}", src) + else: + cidr = default + p.choose(f"no {flag} in k3s.io/node-args", f"{key}: {cidr} (the k3s default)", src) + p.set(key, cidr) + + p.choose("bring-your-own cluster", "kata_containers_enabled: false", "kata") + p.set("kata_containers_enabled", False) + + devices = [] + for n in nodes: + for res, val in sorted((n.get("allocatable") or {}).items()): + if (res.startswith("gpu.intel.com/") or res == "habana.ai/gaudi") and str(val) not in ("0", ""): + devices.append(f"{res} allocatable {val}") + if devices: + xpu = any(d.startswith("gpu.intel.com/") for d in devices) + p.choose(", ".join(devices), "kubernetes_accelerator: cpu (serve the device with k3d-gpu agent up)", + "accel_xpu" if xpu else "accel_cpu") + else: + p.choose("no accelerator resources", "kubernetes_accelerator: cpu", "accel_cpu") + p.set("kubernetes_accelerator", "cpu") + + node_mem = max(gib((n.get("allocatable") or {}).get("memory", "0")) for n in nodes) + fits = facts.get("fit") or {} + + def kv_of(hf): + """(KV cache GiB, the --max-model-len fit sized it for) from fit's flags, or None.""" + doc = fits.get(hf) + if not doc or not doc.get("fits"): + return None + flags = dict(f.split("=", 1) for f in doc.get("flags") or [] if "=" in f) + if "VLLM_CPU_KVCACHE_SPACE" not in flags: + return None + try: + kv = int(flags["VLLM_CPU_KVCACHE_SPACE"]) + except ValueError: + raise InputError(f"k3d-gpu fit for {hf}: VLLM_CPU_KVCACHE_SPACE={flags['VLLM_CPU_KVCACHE_SPACE']} " + "is not a whole number of GiB") from None + ctx = flags.get("--max-model-len", "") + if not ctx.isdigit(): + raise InputError(f"k3d-gpu fit for {hf}: a KV cache with no --max-model-len, the context it was " + "sized for") + return kv, int(ctx) + + def kv_choice(name, hf, mem, catalog_kv, src): + got = kv_of(hf) + if got is None: + return + value, ctx = got + fact = f"k3d-gpu fit {hf} --engine vllm --device cpu sizes the KV cache at {value} GiB" + if value < catalog_kv: + p.choose(fact, f"{name} env.VLLM_CPU_KVCACHE_SPACE: {value} (catalog {catalog_kv})", src) + p.model_env.append((name, "VLLM_CPU_KVCACHE_SPACE", str(value))) + p.choose(f"k3d-gpu fit sized {name}'s {value} GiB KV cache for --max-model-len {ctx}", + f"{name} args_append: --max-model-len {ctx} (the catalog sets no --max-model-len, and vLLM " + "will not start when one request at max_model_len does not fit the KV cache)", "kv_max_len") + p.model_args.append((name, ["--max-model-len", str(ctx)])) + else: + p.choose(fact, f"{name} env.VLLM_CPU_KVCACHE_SPACE: {catalog_kv} as shipped (fit only lowers it: the " + f"pod's memory limit is the catalog's {mem}Gi, not the host)", src) + + if layer == "agent-toolkit": + if sandbox: + p.choose(f"agent-sandbox {EAT_SANDBOX_VERSION} installed (EAT's own)", "agent_sandbox_enabled: true", + "sandbox") + else: + p.choose("no agent-sandbox CRD", f"agent_sandbox_enabled: true (EAT installs agent-sandbox " + f"{EAT_SANDBOX_VERSION})", "sandbox") + p.set("agent_sandbox_enabled", True) + + overhead = STACK_GIB + GUARD_GIB + ROUTER_GIB + if model_flag: + p.choose(f"--model {model_flag}", f"llm_services_autodeploy_models: [{model_flag}]", + "autodeploy" if layer == "agent-toolkit" else "autodeploy_ei") + p.set("llm_services_autodeploy_models", [model_flag]) + for name, hf, mem, catalog_kv, src in CANDIDATES: + if name != model_flag: + continue + kv_choice(name, hf, mem, catalog_kv, src) + need = mem + overhead + if need > node_mem: + p.warn(f"--model {name} needs {need} GiB, node memory {num(node_mem)} GiB", + "continuing as asked; its pods may stay Pending", "sizing") + doc = fits.get(hf) + if doc and not doc.get("fits"): + p.warn(f"--model {name}: {doc.get('summary', 'k3d-gpu fit says it does not fit')}", + "continuing as asked; VLLM_CPU_KVCACHE_SPACE as shipped", "sizing") + elif layer == "agent-toolkit": + reasons, picked = [f"node memory {num(node_mem)} GiB"], None + for name, hf, mem, catalog_kv, src in CANDIDATES: + need = mem + overhead + doc = fits.get(hf) + if need > node_mem: + reasons.append(f"{name} needs {need} GiB") + elif not doc: + reasons.append(f"{name}: k3d-gpu fit gave no result") + elif not doc.get("fits"): + reasons.append(f"{name}: {doc.get('summary', 'k3d-gpu fit says it does not fit')}") + else: + reasons.append(f"{name} needs {need} GiB and k3d-gpu fit says it fits") + picked = (name, hf, mem, catalog_kv, src) + break + if picked: + p.choose("; ".join(reasons), f"llm_services_autodeploy_models: [{picked[0]}]", "sizing") + p.set("llm_services_autodeploy_models", [picked[0]]) + kv_choice(*picked) + else: + p.choose("; ".join(reasons), "llm_services_autodeploy_models: [] (deploy one later with " + "./model-manager deploy )", "autodeploy") + p.set("llm_services_autodeploy_models", []) + + if layer == "agent-toolkit": + p.choose("EAT default", f"guardrails_enabled: on (Qwen3Guard, {GUARD_GIB} GiB of the budget)", "guardrails") + p.choose("EAT default", f"hybrid_router_enabled: on ({ROUTER_GIB} GiB of the budget)", "hybrid_router") + + for name in LAYER_REPOS[layer]: + row = pins[name] + manifest = f"repos.{layer}.yaml {REPO_LAYER[name]} rev: {row['sha']}" + if row["source"].startswith("--"): + p.choose(f"{row['source']} {row['sha']}", manifest, "as given") + else: + p.choose(f"pin {name} {row['ref']} (profile {row['profile']})", manifest, row["source"]) + + cores = max(cpus((n.get("allocatable") or {}).get("cpu", "0")) for n in nodes) + if cores < EAT_MIN_CORES: + p.warn(f"node has {num(cores)} CPUs, under EAT's {EAT_MIN_CORES}-core minimum", "continuing", "cores") + host = facts.get("host") or {} + low = [(k, host.get("inotify_" + k), want) for k, want in INOTIFY_MIN + if host.get("inotify_" + k) is not None and host["inotify_" + k] < want] + if low: + p.warn(", ".join(f"fs.inotify.{k} {have} < {want}" for k, have, want in low), + "raise on the host: sudo sysctl -w " + " ".join(f"fs.inotify.{k}={want}" for k, _, want in low), + "inotify") + return p + + +def outputs(p, layer, profile, pins): + files = {} + files["k3d-gpu-overrides.yaml"] = ( + "# k3d-gpu eas-config: ansible extra vars for es_auto_installer.sh install, passed\n" + "# last (-- -e @k3d-gpu-overrides.yaml) so each value wins; why: choices.txt\n" + + "".join(f"{k}: {yaml_scalar(v)}\n" for k, v in p.overrides)) + files["global_config.edit.yaml"] = ( + f"# k3d-gpu eas-config: keys to set in env/{ENV_NAME}/global_config.yaml, where\n" + "# _resolve_kubeconfig reads existing_kubernetes (not from extra vars)\n" + f"existing_kubernetes: {yaml_scalar(KUBE_MOUNT)}\n") + models = (f"# k3d-gpu eas-config: edits to env/{ENV_NAME}/models.yaml, the file model-manager reads\n" + "# (extra vars do not reach it); defaults merge, models match an entry by name\n" + f"defaults:\n require_amx: {yaml_scalar(p.require_amx)}\n") + if p.model_env: + models += "models:\n" + for name in dict.fromkeys(m for m, _, _ in p.model_env): + models += f" - name: {yaml_scalar(name)}\n env:\n" + models += "".join(f" {k}: {yaml_scalar(v)}\n" for m, k, v in p.model_env if m == name) + models += "".join(f" args_append: {yaml_scalar(a)}\n" for m, a in p.model_args if m == name) + else: + models += "models: []\n" + files["models.edit.yaml"] = models + repos = (f"# k3d-gpu eas-config: configs/repos/repos.{layer}.yaml revs as commit SHAs\n" + f"# (profile {profile}); each row sets rev on the manifest entry with its layer and url\n" + "repos:\n") + for name in LAYER_REPOS[layer]: + row = pins[name] + repos += (f" - layer: {yaml_scalar(REPO_LAYER[name])}\n" + f" url: {yaml_scalar('https://github.com/' + row['repo'])}\n" + f" rev: {yaml_scalar(row['sha'])}\n") + files[f"repos.{layer}.yaml"] = repos + return files + + +def header(facts, layer, profile, pins): + h = [f"# k3d-gpu eas-config: profile {profile}, layer {layer}, cluster {facts['cluster']}"] + for name in ["eas"] + LAYER_REPOS.get(layer, []): + h.append(f"# {name} {pins[name]['repo']} {pins[name]['sha']}") + h.append("# each line: -> []; --explain prints each source as a permalink") + return h + + +def main(argv): + ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0]) + ap.add_argument("--facts") + ap.add_argument("--out") + ap.add_argument("--pins", default=os.path.join(os.path.dirname(os.path.abspath(__file__)), "pins.json")) + ap.add_argument("--layer", choices=["inference", "agent-toolkit", "erag"], default="inference") + ap.add_argument("--eas-ref") + ap.add_argument("--ei-ref") + ap.add_argument("--eat-ref") + ap.add_argument("--model") + ap.add_argument("--explain", action="store_true") + ap.add_argument("--list-sources", action="store_true") + a = ap.parse_args(argv) + if a.list_sources: + for k, url in SOURCES.items(): + print(f"{k} {url}") + return 0 + if not a.facts or not a.out: + ap.error("--facts and --out are required") + try: + profile, pins = resolve_pins(load_json(a.pins, "pins"), a.eas_ref, a.ei_ref, a.eat_ref) + facts = load_json(a.facts, "facts") + if facts.get("schema") != FACTS_SCHEMA: + raise InputError(f"facts schema is {facts.get('schema')!r}, want {FACTS_SCHEMA}") + if not facts.get("cluster") or not facts.get("nodes"): + raise InputError("facts name no cluster or list no nodes") + p = plan(facts, a.layer, pins, a.model) + except (InputError, KeyError, TypeError) as e: + print(f"eas-config: {e}", file=sys.stderr) + return 2 + if p.refusals: + clear_outputs(a.out) + for line in render(p.refusals, a.explain): + print(line, file=sys.stderr) + return 3 + head = header(facts, a.layer, profile, pins) + files = outputs(p, a.layer, profile, pins) + files["choices.txt"] = "\n".join(head + render(p.lines + p.warns, False)) + "\n" + os.makedirs(a.out, mode=0o700, exist_ok=True) + clear_outputs(a.out) + for name, text in files.items(): + with open(os.path.join(a.out, name), "w") as fh: + fh.write(text) + if a.explain: + print("\n".join(head + render(p.lines + p.warns, True))) + else: + sys.stdout.write(files["choices.txt"]) + return 0 + + +if __name__ == "__main__": + sys.exit(main(sys.argv[1:])) diff --git a/integrations/eas/overlay.json b/integrations/eas/overlay.json new file mode 100644 index 00000000..5f427cf2 --- /dev/null +++ b/integrations/eas/overlay.json @@ -0,0 +1,165 @@ +{ + "schema": "k3d-gpu.eas-overlay/v1", + "checked": "2026-10-29", + "repo": "intel/enterprise-ai-solutions", + "patch_dirs": ["integrations/eas/patches", "integrations/eat/upstream/patches"], + "rules": { + "always": "every k3d-gpu cluster", + "eas_owns_nri": "only when kubernetes_cpu_policy is nri-balloons: EAS installs the nri-plugins balloons chart only then (configs/components.yaml, nri_cpu_balloons.enabled)", + "multi_node": "only on a cluster with more than one node; k3d-gpu runs one server", + "never": "documentation only; nothing at install time reads it" + }, + "rows": [ + { + "id": "0002", + "what": "istio: pass istio_platform to the Istio chart as global.platform, so istio-cni uses the k3s/k3d CNI paths", + "variants": [ + {"name": "a", "files": ["0002-eas-istio-global-platform.patch"], "for": "main and release-1.2"} + ], + "needed_when": "always", + "fixed_probe": [ + { + "glob": "roles/istio/**", + "regex": "(?m)global\\.platform\\s*=|['\"]platform['\"]\\s*:|global:\\s*\\{\\s*platform\\s*:|^\\s*global:[ \\t]*\\n\\s+platform:", + "knob": "istio_platform", + "what": "an Istio task or default sets global.platform from a variable" + } + ], + "moved": [ + { + "glob": "configs/defaults/global_config.yaml", + "regex": "(?m)^headlamp_enabled:", + "upstream": "https://github.com/intel/enterprise-ai-solutions/pull/61", + "what": "headlamp_enabled now follows velero_enabled, the context of 0002's global_config.yaml hunk" + } + ], + "upstream": { + "filed": false, + "evidence": "https://istio.io/latest/docs/ambient/install/platform-prerequisites/" + } + }, + { + "id": "0003", + "what": "nri_cpu_balloons: pin the nri-plugins balloons chart to v0.15.0", + "variants": [ + {"name": "a", "files": ["0003-eas-pin-nri-balloons-chart.patch"], "for": "main and release-1.2"} + ], + "needed_when": "eas_owns_nri", + "fixed_probe": [ + { + "glob": "roles/nri_cpu_balloons/tasks/install_advanced.yaml", + "regex": "(?m)^\\s*chart_version:", + "knob": null, + "what": "the balloons Helm task passes a chart_version" + } + ], + "moved": [], + "upstream": { + "filed": false, + "evidence": "https://github.com/containers/nri-plugins/releases/tag/v0.15.0" + } + }, + { + "id": "0004", + "what": "kubernetes: apply the workload-class node labels on multi-node BYO clusters", + "variants": [ + {"name": "a", "files": ["0004-eas-byo-node-topology-labels.patch"], "for": "main and release-1.2"} + ], + "needed_when": "multi_node", + "fixed_probe": [ + { + "glob": "roles/kubernetes/tasks/install.yaml", + "regex": "apply_node_topology\\.yaml", + "knob": null, + "what": "the role's install entry point runs apply_node_topology.yaml itself" + } + ], + "moved": [], + "upstream": { + "filed": false, + "evidence": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/roles/kubernetes/tasks/install.yaml#L23-L25" + } + }, + { + "id": "0005", + "what": "docs: Single-Node Dev on k3d", + "variants": [ + {"name": "a", "files": ["0005-eas-docs-single-node-k3d.patch"], "for": "main"} + ], + "needed_when": "never", + "fixed_probe": [], + "moved": [], + "upstream": { + "filed": false, + "evidence": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/docs/deploy/topologies.md#L189" + } + }, + { + "id": "0006", + "what": "envoy_gateway: select control-plane nodes by label presence (k3s stamps \"true\", kubeadm \"\")", + "variants": [ + {"name": "a", "files": ["0006-eas-envoy-control-plane-affinity.patch"], "for": "main after EAS #42 (roles/envoy_gateway/tasks/controller.yaml)"}, + {"name": "b", "files": ["0006-release-1.2-envoy-control-plane-affinity.patch"], "for": "release-1.2 (roles/envoy_gateway/tasks/install.yaml)"} + ], + "needed_when": "always", + "fixed_probe": [ + { + "glob": "roles/envoy_gateway/**", + "regex": "matchExpressions:\\s*-[ \\t]*key:[ \\t]*[\"']?node-role\\.kubernetes\\.io/control-plane[\"']?\\s+operator:[ \\t]*[\"']?Exists", + "absent": "node-role\\.kubernetes\\.io/control-plane[\"']?[ \\t]*:[ \\t]*(?:\"\"|'')", + "knob": null, + "what": "a file of the role selects control-plane nodes with a matchExpressions Exists term, and no file of the role keeps an exact \"\" selector" + }, + { + "glob": "roles/envoy_gateway/vars/k3s.yaml", + "regex": "(?m)^_envoy_gateway_proxy_shape:[ \\t]*(?![\"']?controlplane_daemonset\\b)\\S", + "knob": null, + "what": "a k3s entry in the per-distribution vars layout of EAS #50 that selects a shape other than controlplane_daemonset, the one with the exact \"\" selector" + } + ], + "moved": [ + { + "glob": "roles/envoy_gateway/tasks/controller.yaml", + "regex": "_eg_k8s_provider:", + "upstream": "https://github.com/intel/enterprise-ai-solutions/pull/50", + "what": "the EnvoyProxy provider moved into the _eg_k8s_provider var, still an exact \"\" selector (#52 carries the same change)" + } + ], + "upstream": { + "filed": false, + "evidence": "https://github.com/k3s-io/k3s/blob/843c32de489c25ccc1bde53d21c5fd7df23c706e/pkg/server/server.go#L550" + } + } + ], + "verified": [ + { + "profile": "main", + "rev": "97f6157d6a72f7173c698c474d4e51d2c79f1fd6", + "fixture": "tests/fixtures/eas/trees/97f6157", + "cases": [ + {"policy": "best-effort", "nodes": 1, + "expect": {"0002": "apply:a", "0003": "skip", "0004": "skip", "0005": "skip", "0006": "apply:a"}}, + {"policy": "nri-balloons", "nodes": 3, + "expect": {"0002": "apply:a", "0003": "apply:a", "0004": "apply:a", "0005": "skip", "0006": "apply:a"}} + ] + }, + { + "profile": "v1.2.0-rc.1", + "rev": "5c27fb39a95eecec41aa4e29a1188984e9c726f3", + "fixture": "tests/fixtures/eas/trees/5c27fb3", + "cases": [ + {"policy": "best-effort", "nodes": 1, + "expect": {"0002": "apply:a", "0003": "skip", "0004": "skip", "0005": "skip", "0006": "apply:b"}}, + {"policy": "nri-balloons", "nodes": 3, + "expect": {"0002": "apply:a", "0003": "apply:a", "0004": "apply:a", "0005": "skip", "0006": "apply:b"}} + ] + } + ], + "watch": [ + {"ref": "origin/main", "what": "EAS main tip"}, + {"ref": "origin/release-1.2", "what": "EAS release-1.2 tip"}, + {"ref": "pull/50/head", "what": "open: OpenShift platform layer, moves the EnvoyProxy provider into _eg_k8s_provider"}, + {"ref": "pull/52/head", "what": "open: OpenShift ownership labels, stacked on #50"}, + {"ref": "pull/61/head", "what": "open: Headlamp SSO, changes 0002's global_config.yaml context and 0004/0005"} + ] +} diff --git a/integrations/eas/overlay.py b/integrations/eas/overlay.py new file mode 100755 index 00000000..25c5fab7 --- /dev/null +++ b/integrations/eas/overlay.py @@ -0,0 +1,487 @@ +#!/usr/bin/env python3 +"""The k3s/k3d patch overlay for an intel/enterprise-ai-solutions (EAS) checkout. + +For each row of overlay.json it decides, at one EAS commit, and prints the +decision as `fact -> choice [source]`: + + skip the row's needed_when rule is false for these facts + drop-merged a variant reverse-applies (git apply -R --check): upstream has it + drop-fixed a fixed_probe regex matches a file its glob selects, no file the + glob selects matches the probe's `absent` regex (when it has one), + and the knob the generator writes appears in the matched file (no + knob: the match alone). A match whose knob is gone is a STOP: + upstream fixed it under another name, and the generator's knob + would do nothing. + apply the first variant, in order, that applies (git apply --check) + STOP none of the above: the patch has to be regenerated. The line + names the upstream change that moved the hunk: a `moved` hint of + the row when one matches and watches a file whose hunks no variant + applies, else the last commit on those files. + +Decisions read the commit (--rev, default HEAD) through a scratch index, never +the working tree, so they do not change once the overlay is applied. --apply +patches the working tree of the checkout, only when --rev is HEAD and no row +STOPs: every chosen patch the working tree lacks, in one `git apply`. A patch +it already carries (a re-run) is left as it is; a patch's files in any other +state STOP the run before anything is written. + +Patch files are looked up in the overlay.json patch_dirs in order +(integrations/eas/patches, then the upstream drafts in +integrations/eat/upstream/patches), so a draft is never copied. + +Usage: + overlay.py --eas DIR --policy POLICY --nodes N [--rev REV] [--apply] + [--json FILE|-] [--explain] + overlay.py --eas DIR --check-verified every overlay.json `verified` case at its sha + overlay.py --eas DIR --watch decisions at every `watch` ref present in DIR + +POLICY is the kubernetes_cpu_policy the generator chose (nri-balloons, +kubelet-static or best-effort); N is the cluster's node count. Exit 0 when +nothing STOPs, 3 on a STOP (nothing applied), 1 when --check-verified finds a +moved decision, 2 on bad input. +""" + +import argparse +import json +import os +import re +import subprocess +import sys +import tempfile + +HERE = os.path.dirname(os.path.abspath(__file__)) +ROOT = os.path.dirname(os.path.dirname(HERE)) +POLICIES = ("nri-balloons", "kubelet-static", "best-effort") +RULES = { + "always": lambda f: True, + "eas_owns_nri": lambda f: f["policy"] == "nri-balloons", + "multi_node": lambda f: f["nodes"] > 1, + "never": lambda f: False, +} +# The k3d-gpu cluster: one server, its own balloons policy kept (--watch). +K3D_GPU_FACTS = {"policy": "best-effort", "nodes": 1} + + +class Bad(Exception): + """Input the overlay cannot work with (exit 2).""" + + +def glob_re(glob): + """A path glob as a regex: ** spans directories, * and ? stay within one.""" + out, i = "", 0 + while i < len(glob): + if glob.startswith("**/", i): + out, i = out + "(?:.*/)?", i + 3 + elif glob.startswith("**", i): + out, i = out + ".*", i + 2 + elif glob[i] == "*": + out, i = out + "[^/]*", i + 1 + elif glob[i] == "?": + out, i = out + "[^/]", i + 1 + else: + out, i = out + re.escape(glob[i]), i + 1 + return re.compile(out + r"\Z") + + +def first_hunk(path): + """The first hunk of a patch: (file, {"old"|"new": (stated start, lines)}, leading context).""" + target, start, sides, ctx, changed = None, None, {"old": [], "new": []}, 0, False + with open(path, encoding="utf-8") as f: + for line in f: + if start is None: + if line.startswith("+++ "): + target = line[4:].rstrip("\n") + target = target[2:] if target.startswith("b/") else target + m = re.match(r"@@ -(\d+)(?:,(\d+))? \+(\d+)(?:,(\d+))?", line) + if m and target: + start = {"old": int(m.group(1)), "new": int(m.group(3))} + want = {"old": int(m.group(2) or 1), "new": int(m.group(4) or 1)} + continue + if all(len(sides[s]) >= want[s] for s in sides): + break + tag, body = line[:1], line[1:] + if tag == " ": + sides["old"].append(body) + sides["new"].append(body) + ctx += 0 if changed else 1 + elif tag in ("-", "+"): + sides["old" if tag == "-" else "new"].append(body) + changed = True + elif tag != "\\": + break + if start is None: + raise Bad("no hunk in %s" % path) + return target, {s: (start[s], sides[s]) for s in sides}, ctx + + +def landing(eas, path, side): + """(file, line) where a patch's first change sits in the commit: the hunk's `side` + lines ("old" before applying, "new" once applied) located nearest the line the + hunk header states, as git apply locates them.""" + target, sides, ctx = first_hunk(path) + stated, lines = sides[side] + have = eas.text(target).splitlines(keepends=True) + hits = [i + 1 for i in range(len(have) - len(lines) + 1) if have[i:i + len(lines)] == lines] if lines else [] + at = min(hits, key=lambda i: abs(i - stated)) if hits else stated + return target, max(at + ctx, 1) + + +def touched(paths): + """Files a set of patches change.""" + out = [] + for p in paths: + with open(p, encoding="utf-8") as f: + for line in f: + if line.startswith("+++ ") and line[4:].strip() != "/dev/null": + t = line[4:].strip() + t = t[2:] if t.startswith("b/") else t + if t not in out: + out.append(t) + return out + + +class Eas: + """Read-only views of one EAS commit, plus the working-tree apply.""" + + def __init__(self, path, rev): + self.path = os.path.abspath(path) + top = self.git("rev-parse", "--show-toplevel", check=False) + if top.returncode or os.path.realpath(top.stdout.strip()) != os.path.realpath(self.path): + raise Bad("%s is not the top of a git checkout" % path) + self.sha = self.resolve(rev) + if not self.sha: + raise Bad("%s: no commit %s" % (path, rev)) + self._files = None + self._text = {} + self._tmp = tempfile.TemporaryDirectory(prefix="eas-overlay-") + self.index = os.path.join(self._tmp.name, "index") + self.git("read-tree", "--index-output=" + self.index, self.sha) + + def git(self, *args, env=None, check=True): + e = dict(os.environ, **(env or {})) + r = subprocess.run(["git", "-C", self.path] + list(args), capture_output=True, text=True, env=e) + if check and r.returncode: + raise Bad("git %s: %s" % (" ".join(args), r.stderr.strip())) + return r + + def resolve(self, rev): + r = self.git("rev-parse", "--verify", "-q", rev + "^{commit}", check=False) + return r.stdout.strip() if r.returncode == 0 else None + + def files(self): + if self._files is None: + out = self.git("ls-tree", "-r", "-z", "--name-only", self.sha).stdout + self._files = [p for p in out.split("\0") if p] + return self._files + + def text(self, path): + if path not in self._text: + r = self.git("cat-file", "blob", "%s:%s" % (self.sha, path), check=False) + self._text[path] = r.stdout if r.returncode == 0 else "" + return self._text[path] + + def check(self, patches, reverse=False, include=None): + """git apply --check at the commit, through the scratch index (only `include`'s hunks when given).""" + args = (["apply", "--cached", "--check", "--whitespace=nowarn"] + (["-R"] if reverse else []) + + (["--include=" + include] if include else []) + patches) + return self.git(*args, env={"GIT_INDEX_FILE": self.index}, check=False).returncode == 0 + + def last_commit(self, paths): + r = self.git("log", "-1", "--format=%h %s", self.sha, "--", *paths, check=False) + return r.stdout.strip() + + def worktree(self, patches, reverse=False, check=True): + args = ["apply", "--whitespace=nowarn"] + (["--check"] if check else []) + (["-R"] if reverse else []) + patches + return self.git(*args, check=False).returncode == 0 + + +def load_spec(path): + try: + with open(path, encoding="utf-8") as f: + spec = json.load(f) + except (OSError, ValueError) as e: + raise Bad("%s: %s" % (path, e)) from None + if spec.get("schema") != "k3d-gpu.eas-overlay/v1": + raise Bad("%s: schema %r, want k3d-gpu.eas-overlay/v1" % (path, spec.get("schema"))) + for row in spec["rows"]: + if row["needed_when"] not in RULES: + raise Bad("row %s: needed_when %r is not one of %s" % (row["id"], row["needed_when"], ", ".join(RULES))) + for v in row["variants"]: + v["paths"] = [patch_path(spec, f) for f in v["files"]] + for p in row["fixed_probe"] + row["moved"]: + try: + p["re"], p["glob_re"] = re.compile(p["regex"]), glob_re(p["glob"]) + p["absent_re"] = re.compile(p["absent"]) if p.get("absent") else None + except re.error as e: + raise Bad("row %s: regex %r: %s" % (row["id"], e.pattern, e)) from None + return spec + + +def patch_path(spec, name): + for d in spec["patch_dirs"]: + p = os.path.join(ROOT, d, name) + if os.path.isfile(p): + return p + raise Bad("patch %s is in none of %s" % (name, ", ".join(spec["patch_dirs"]))) + + +def rel(path): + return os.path.relpath(path, ROOT) + + +def line_of(text, pos): + return text.count("\n", 0, pos) + 1 + + +def probe(eas, row): + """(state, file, line, knob): state "fixed", "knob-missing" or None.""" + missing = None + for p in row["fixed_probe"]: + selected = [path for path in eas.files() if p["glob_re"].match(path)] + if p["absent_re"] and any(p["absent_re"].search(eas.text(path)) for path in selected): + continue + for path in selected: + text = eas.text(path) + m = p["re"].search(text) + if not m: + continue + at = m.start("at") if "at" in p["re"].groupindex and m.start("at") >= 0 else m.start() + knob = p.get("knob") + if knob is None or re.search(r"(? %s [%s]" % (d["fact"], d["choice"], d["permalink"] if explain else d["source"]) for d in decisions] + + +def run(args, spec): + if args.policy not in POLICIES: + raise Bad("--policy %r: want one of %s" % (args.policy, ", ".join(POLICIES))) + if args.nodes < 1: + raise Bad("--nodes %d: a cluster has at least one node" % args.nodes) + facts = {"policy": args.policy, "nodes": args.nodes} + eas = Eas(args.eas, args.rev) + if args.apply and eas.sha != eas.resolve("HEAD"): + raise Bad("--apply patches the working tree, so --rev must be HEAD (%s is not)" % args.rev) + decisions = decide(spec, eas, facts) + stop = any(d["decision"] == "STOP" for d in decisions) + if args.json: + doc = {"schema": "k3d-gpu.eas-overlay-decisions/v1", "repo": spec["repo"], "rev": eas.sha, + "facts": facts, "stop": stop, "decisions": decisions} + if args.json == "-": + json.dump(doc, sys.stdout, indent=2) + print() + else: + with open(args.json, "w", encoding="utf-8") as f: + json.dump(doc, f, indent=2) + f.write("\n") + if args.json != "-": + print("# overlay at eas@%s (%s), kubernetes_cpu_policy=%s, nodes=%d" + % (eas.sha[:7], args.rev, facts["policy"], facts["nodes"])) + print("\n".join(text_lines(decisions, args.explain))) + if stop: + print("STOP: the overlay does not fit eas@%s; regenerate the rows above that say STOP. Nothing was applied." + % eas.sha[:7], file=sys.stderr) + return 3 + if args.apply: + return apply(args, eas, decisions) + return 0 + + +def apply(args, eas, decisions): + """Each chosen patch the working tree lacks, in one git apply; one it already + carries is left alone (a re-run). Any other state of a patch's files: STOP.""" + todo, done = [], [] + for d in decisions: + if d["decision"] != "apply": + continue + patches = [os.path.join(ROOT, f) for f in d["files"]] + if eas.worktree(patches): + todo += patches + elif eas.worktree(patches, reverse=True): + done += patches + else: + todo = None + break + if todo is None or (todo and not eas.worktree(todo)): + bad = touched([os.path.join(ROOT, f) for d in decisions if d["decision"] == "apply" for f in d["files"]]) + print("STOP: the working tree of %s differs from eas@%s in %s; reset it to the commit (git checkout -f %s) " + "and run again. Nothing was applied." % (args.eas, eas.sha[:7], ", ".join(bad), eas.sha[:7]), + file=sys.stderr) + return 3 + if todo and not eas.worktree(todo, check=False): + raise Bad("git apply failed in %s after its --check passed" % args.eas) + if todo: + print("applied %s to %s" % (" ".join(os.path.basename(p) for p in todo), args.eas)) + if done: + print("already applied in %s: %s" % (args.eas, " ".join(os.path.basename(p) for p in done))) + if not todo and not done: + print("nothing to apply to %s" % args.eas) + return 0 + + +def check_verified(args, spec): + bad = 0 + for v in spec["verified"]: + try: + eas = Eas(args.eas, v["rev"]) + except Bad as e: + print("FAIL %s %s: %s (fetch it)" % (v["profile"], v["rev"][:7], e)) + bad += 1 + continue + for c in v["cases"]: + decisions = decide(spec, eas, {"policy": c["policy"], "nodes": c["nodes"]}) + got = {d["id"]: d["brief"] for d in decisions} + label = "%s %s %s nodes=%d" % (v["profile"], eas.sha[:7], c["policy"], c["nodes"]) + moved = ["%s want %s, got %s" % (i, c["expect"].get(i), got.get(i)) + for i in sorted(set(got) | set(c["expect"])) if got.get(i) != c["expect"].get(i)] + summary = " ".join("%s=%s" % kv for kv in sorted(got.items())) + if moved: + bad += 1 + print("FAIL %s: %s" % (label, "; ".join(moved))) + else: + print("ok %s: %s" % (label, summary)) + for line in text_lines(decisions, args.explain): + print(" " + line) + return 1 if bad else 0 + + +def watch(args, spec): + for w in spec["watch"]: + try: + eas = Eas(args.eas, w["ref"]) + except Bad: + print("# %s: not in this clone (%s)" % (w["ref"], w["what"])) + continue + print("# %s = eas@%s (%s), kubernetes_cpu_policy=%s, nodes=%d" + % (w["ref"], eas.sha[:7], w["what"], K3D_GPU_FACTS["policy"], K3D_GPU_FACTS["nodes"])) + print("\n".join(text_lines(decide(spec, eas, K3D_GPU_FACTS), args.explain))) + return 0 + + +def main(argv): + ap = argparse.ArgumentParser(description=__doc__.split("\n\n")[0]) + ap.add_argument("--eas", required=True, help="EAS git checkout") + ap.add_argument("--rev", default="HEAD", help="commit to decide at (default HEAD)") + ap.add_argument("--policy", help="kubernetes_cpu_policy the generator chose") + ap.add_argument("--nodes", type=int, help="nodes in the cluster") + ap.add_argument("--apply", action="store_true", help="apply the chosen patches to the working tree") + ap.add_argument("--json", metavar="FILE", help="also write the decisions as JSON to FILE (- for stdout only)") + ap.add_argument("--explain", action="store_true", help="full permalinks instead of short sources") + ap.add_argument("--check-verified", action="store_true", help="check every overlay.json verified case") + ap.add_argument("--watch", action="store_true", help="decisions at every overlay.json watch ref") + ap.add_argument("--spec", default=os.path.join(HERE, "overlay.json"), help=argparse.SUPPRESS) + args = ap.parse_args(argv) + try: + spec = load_spec(args.spec) + if args.check_verified: + return check_verified(args, spec) + if args.watch: + return watch(args, spec) + if args.policy is None or args.nodes is None: + raise Bad("--policy and --nodes are required") + return run(args, spec) + except Bad as e: + print("overlay: %s" % e, file=sys.stderr) + return 2 + + +if __name__ == "__main__": + sys.exit(main(sys.argv[1:])) diff --git a/integrations/eas/patches/0006-release-1.2-envoy-control-plane-affinity.patch b/integrations/eas/patches/0006-release-1.2-envoy-control-plane-affinity.patch new file mode 100644 index 00000000..48cf316a --- /dev/null +++ b/integrations/eas/patches/0006-release-1.2-envoy-control-plane-affinity.patch @@ -0,0 +1,77 @@ +From 0d13b34a8ab3c5b271ab8fad3a82b726c013a4b1 Mon Sep 17 00:00:00 2001 +From: Andrew Mello +Date: Thu, 29 Oct 2026 13:35:38 -0700 +Subject: [PATCH] envoy_gateway: select control-plane nodes by label presence + (release-1.2) + +The release-1.2 form of the main-branch change in +roles/envoy_gateway/tasks/controller.yaml. On release-1.2 the EnvoyProxy +task still lives in roles/envoy_gateway/tasks/install.yaml (EAS #42 +moved it to controller.yaml on main), so the same change is cut against +that file. + +The EnvoyProxy DaemonSet pins envoy to control-plane nodes with +nodeSelector node-role.kubernetes.io/control-plane: "". That matches +kubeadm / kubespray nodes, which carry the label with an empty value, +but k3s sets it to "true" (k3s-io/k3s pkg/server/server.go, +util.ControlPlaneRoleLabelKey), so on a BYO k3s or k3d cluster the +DaemonSet schedules no pods and the gateway has no data plane. + +Use a required node affinity with operator Exists on the same key, and +set nodeSelector to null so a re-install over an older EnvoyProxy (a +JSON merge patch, which keeps every key it does not null) drops the old +selector. Behaviour on kubeadm / kubespray clusters is unchanged; the +toleration is untouched. + +Checked statically: release-1.2 pins envoy_gateway_version 1.7.1, the +same gateway-helm whose v1alpha1 EnvoyProxy CRD includes pod.affinity. +Modelling create (null pruned) and re-install over the old object +(RFC 7386 merge) both leave affinity and no nodeSelector. +--- + roles/envoy_gateway/tasks/install.yaml | 23 ++++++++++++++++------- + 1 file changed, 16 insertions(+), 7 deletions(-) + +diff --git a/roles/envoy_gateway/tasks/install.yaml b/roles/envoy_gateway/tasks/install.yaml +index 9f3d423..72c3444 100644 +--- a/roles/envoy_gateway/tasks/install.yaml ++++ b/roles/envoy_gateway/tasks/install.yaml +@@ -191,11 +191,12 @@ + # MetalLB elects at any given moment: every CP node always has a local + # envoy. Survives CP failover, no hostname pinning, no cp[0] dance. + # +-# nodeSelector keys on the standard control-plane label (empty string is +-# how kubespray / kubeadm stamp it) rather than the taint, because +-# operators can remove the taint; the label is the stable Kubernetes +-# control-plane marker. Toleration is kept for the case where the taint +-# is still in place. ++# Node affinity keys on the standard control-plane label rather than the ++# taint, because operators can remove the taint; the label is the stable ++# Kubernetes control-plane marker. It matches on the label's presence, not ++# its value: kubespray / kubeadm stamp it with "" while k3s stamps ++# it with "true", and an exact-value nodeSelector schedules no envoy there. ++# Toleration is kept for the case where the taint is still in place. + - name: "envoy_gateway | Create EnvoyProxy config (DaemonSet on control-plane nodes)" + kubernetes.core.k8s: + state: present +@@ -211,8 +212,16 @@ + kubernetes: + envoyDaemonSet: + pod: +- nodeSelector: +- node-role.kubernetes.io/control-plane: "" ++ # null drops the nodeSelector an older install left behind: ++ # this update is a JSON merge patch, which keeps omitted keys. ++ nodeSelector: null ++ affinity: ++ nodeAffinity: ++ requiredDuringSchedulingIgnoredDuringExecution: ++ nodeSelectorTerms: ++ - matchExpressions: ++ - key: node-role.kubernetes.io/control-plane ++ operator: Exists + tolerations: + - key: node-role.kubernetes.io/control-plane + operator: Exists +-- +2.53.0 + diff --git a/integrations/eas/pins.json b/integrations/eas/pins.json new file mode 100644 index 00000000..2303dedd --- /dev/null +++ b/integrations/eas/pins.json @@ -0,0 +1,28 @@ +{ + "schema": "k3d-gpu.eas-pins/v1", + "checked": "2026-10-29", + "default_profile": "main", + "notes": [ + "Each row: one pin. profile groups the rows; name is the component; sha is the commit the ref resolved to on the checked date (git ls-remote, gh api), or for a PyPI package the sha256 of its py3 wheel, or for an image its manifest digest; date is the commit, release or upload date; source is where the pin comes from.", + "Profile main freezes what EAS main's configs/repos/repos.agent-toolkit.yaml resolves to today: inference rev main is enterprise-inference 3e8a244, and agent-toolkit rev agentic-toolkit-migration is fb594597, the same tree as release-2.0.0 036b662 (the #19 merge), which is pinned here.", + "Profile v1.2.0-rc.1 is the release candidate's component table: https://github.com/intel/enterprise-ai-solutions/releases/tag/v1.2.0-rc.1", + "Profile bastion: the tools the EAS bastion bakes. kubectl matches the k3s minor in the Dockerfile's K3S_TAG (v1.37.1-k3s1); EAS's own v1.34.3 is outside kubectl's one-minor skew. helm is the newest v3 (EAS asks for at least v3.20.2); yq the newest (EAS: at least v4.53.2); kubernetes.core is EAS's exact pin; the Python packages are the newest inside EAS's requirements.txt ranges." + ], + "pins": [ + {"profile": "main", "name": "eas", "repo": "intel/enterprise-ai-solutions", "ref": "main", "sha": "97f6157d6a72f7173c698c474d4e51d2c79f1fd6", "date": "2026-10-29", "source": "https://github.com/intel/enterprise-ai-solutions/commit/97f6157d6a72f7173c698c474d4e51d2c79f1fd6"}, + {"profile": "main", "name": "ei", "repo": "intel/enterprise-inference", "ref": "main", "sha": "3e8a24486b6ee812adf2bf452f8ba5751c16c8bd", "date": "2026-10-23", "source": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/configs/repos/repos.agent-toolkit.yaml#L12"}, + {"profile": "main", "name": "eat", "repo": "intel/enterprise-agent-toolkit", "ref": "release-2.0.0", "sha": "036b66234801e9bd950afd90830821859780d668", "date": "2026-10-27", "source": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/configs/repos/repos.agent-toolkit.yaml#L21"}, + {"profile": "v1.2.0-rc.1", "name": "eas", "repo": "intel/enterprise-ai-solutions", "ref": "v1.2.0-rc.1", "sha": "5c27fb39a95eecec41aa4e29a1188984e9c726f3", "date": "2026-10-27", "source": "https://github.com/intel/enterprise-ai-solutions/releases/tag/v1.2.0-rc.1"}, + {"profile": "v1.2.0-rc.1", "name": "ei", "repo": "intel/enterprise-inference", "ref": "release-1.1", "sha": "170eb3abb1956de0787727f21e356aef2b13ff24", "date": "2026-10-27", "source": "https://github.com/intel/enterprise-ai-solutions/blob/5c27fb39a95eecec41aa4e29a1188984e9c726f3/configs/repos/repos.agent-toolkit.yaml#L16"}, + {"profile": "v1.2.0-rc.1", "name": "eat", "repo": "intel/enterprise-agent-toolkit", "ref": "release-2.0.0", "sha": "036b66234801e9bd950afd90830821859780d668", "date": "2026-10-27", "source": "https://github.com/intel/enterprise-ai-solutions/blob/5c27fb39a95eecec41aa4e29a1188984e9c726f3/configs/repos/repos.agent-toolkit.yaml#L25"}, + {"profile": "bastion", "name": "ubuntu", "repo": "docker.io/library/ubuntu", "ref": "24.04", "sha": "fe81560990fae86dc4743202b2cb4d3df98d0bcf949173cecef15ce1127ef852", "date": "2026-10-29", "source": "https://github.com/88plug/k3d-gpu/blob/d997ea891cd7288eead48d428886607590299a9b/integrations/eat/bastion.Dockerfile#L12"}, + {"profile": "bastion", "name": "kubectl", "repo": "kubernetes/kubernetes", "ref": "v1.37.2", "sha": "c50e5395f1ae2d4a2c05f28fdcc38c0916cc1a32", "date": "2026-10-28", "source": "https://github.com/kubernetes/kubernetes/releases/tag/v1.37.2"}, + {"profile": "bastion", "name": "helm", "repo": "helm/helm", "ref": "v3.22.1", "sha": "d6c1a0e4027caa6abc7892e7ea9f0cda7447baa3", "date": "2026-10-15", "source": "https://github.com/helm/helm/releases/tag/v3.22.1"}, + {"profile": "bastion", "name": "yq", "repo": "mikefarah/yq", "ref": "v4.54.1", "sha": "504fc38780cc46be8444ea1b72fb55919fc0bfb0", "date": "2026-09-29", "source": "https://github.com/mikefarah/yq/releases/tag/v4.54.1"}, + {"profile": "bastion", "name": "kubernetes.core", "repo": "ansible-collections/kubernetes.core", "ref": "6.3.0", "sha": "80c33c5573aa63c7fdb315c72d4d7bfac725c337", "date": "2026-02-03", "source": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/collections/requirements.yml#L3-L4"}, + {"profile": "bastion", "name": "ansible", "repo": "pypi.org/project/ansible", "ref": "12.3.0", "sha": "cd156f82fa87f7a899212b0efa9f7ca3a24d609212de9f78428a572eb01e5414", "date": "2025-12-09", "source": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/requirements.txt#L1"}, + {"profile": "bastion", "name": "kubernetes", "repo": "pypi.org/project/kubernetes", "ref": "35.0.0", "sha": "39e2b33b46e5834ef6c3985ebfe2047ab39135d41de51ce7641a7ca5b372a13d", "date": "2026-01-16", "source": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/requirements.txt#L2"}, + {"profile": "bastion", "name": "jsonpatch", "repo": "pypi.org/project/jsonpatch", "ref": "1.38", "sha": "46260c5df952abd4734a098f94512dc00bc38539152ac3ef069ed0475e4f5695", "date": "2026-10-26", "source": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/requirements.txt#L3"}, + {"profile": "bastion", "name": "jmespath", "repo": "pypi.org/project/jmespath", "ref": "1.1.0", "sha": "a5663118de4908c91729bea0acadca56526eb2698e83de10cd116ae0f4e97c64", "date": "2026-01-22", "source": "https://github.com/intel/enterprise-ai-solutions/blob/97f6157d6a72f7173c698c474d4e51d2c79f1fd6/requirements.txt#L4"} + ] +} diff --git a/integrations/eat/README.md b/integrations/eat/README.md index 20711d19..da214a23 100644 --- a/integrations/eat/README.md +++ b/integrations/eat/README.md @@ -1,21 +1,30 @@ # Intel Enterprise Agent Toolkit on k3d-gpu Runs Intel's [Enterprise Agent Toolkit](https://github.com/intel/enterprise-agent-toolkit) -(EAT) `release-1.0.3-hotfix` (commit `0d3438d`) on one k3d-gpu node, on a client -CPU with no AVX-512 and no AMX. EAT's docs target Xeon clusters built by -Kubespray. Here it goes through EAT's own **brownfield** path ("Vanilla -Kubernetes", an existing kubeconfig). No EAT file is edited. - -Verified on a Lenovo P360 Ultra: i9-13900T (8 P-cores = CPUs 0-15, 16 E-cores = -CPUs 16-31, AVX2 + AVX-VNNI only), 125 GB RAM, Docker 29.3, k3d 5.9.0, k3s -v1.34.1+k3s1 (2026-10-16). Re-run end to end on a fresh cluster with the node -image built from this repo on 2026-10-16: 5 PLAY RECAPs `failed=0`, the model -Ready 4 min after deploy, `eat-check.sh` passed. +(EAT) [`release-1.1.0`](https://github.com/intel/enterprise-agent-toolkit/releases/tag/release-1.1.0) +(commit `0c726f5`) on one k3d-gpu node, on a client CPU with no AVX-512 and no +AMX. EAT's docs target Xeon clusters built by Kubespray. Here it goes through +EAT's own **brownfield** path ("Vanilla Kubernetes", an existing kubeconfig). +No EAT file is edited. + +**Status: the `release-1.1.0` path has not run yet.** It is pre-registered as +F4 in [EXPERIMENTS.md](../../EXPERIMENTS.md#f4-pre-registration-i9-13900t-2026-10-29) +and stays unverified until F4 is SUPPORTED. What this page reports as observed +ran on the previous pin, `release-1.0.3-hotfix` (commit `0d3438d`), which the +[H1b run](../../EXPERIMENTS.md#h1b-run-i9-13900t-2026-10-17) graded SUPPORTED. + +Verified on the previous pin on a Lenovo P360 Ultra: i9-13900T (8 P-cores = CPUs +0-15, 16 E-cores = CPUs 16-31, AVX2 + AVX-VNNI only), 125 GB RAM, Docker 29.3, +k3d 5.9.0, k3s v1.34.1+k3s1 (2026-10-16). Re-run end to end on a fresh cluster +with the node image built from this repo on 2026-10-16: 5 PLAY RECAPs +`failed=0`, the model Ready 4 min after deploy, `eat-check.sh` passed. What comes up: EAT's LiteLLM gateway (GenAI Gateway, with its Langfuse trace stack), ingress-nginx, Redis Stack, pgvector, agent-sandbox v0.5.0 with a warm pool of Python sandboxes, and EAT's CPU vLLM serving `Qwen/Qwen3-1.7B`, -registered in LiteLLM by EAT's own registration job. +registered in LiteLLM by EAT's own registration job. The components +`release-1.1.0` adds stay off: the Qwen3Guard guardrail, the vLLM Semantic +Router, OpenShell, Kata sandboxes, Rook-Ceph and rack-scale mode. ## Reproduce @@ -57,10 +66,10 @@ that off the host. | File | Role | |------|------| | `eat-up.sh` | clone + bastion build + run; `model ` deploys one catalog model | -| `brownfield.sh` | runs in the bastion; answers EAT's prompts and calls its brownfield functions | +| `brownfield.sh` | runs in the bastion; answers EAT's prompts, hands the config's `deploy_guardrails` to EAT's `DEPLOY_GUARDRAILS` (blocker 11) and calls its brownfield functions | | `bastion.Dockerfile` | Ubuntu 24.04 (digest-pinned) plus what EAT's one-click installer installs | -| `agentic-config.cfg` | EAT's own component toggles: gateway, ingress, Redis, pgvector, agent sandbox on; Kubespray, observability, models, KubeRay, CPU balloons off | -| `vllm-values.yaml` | k3d-gpu values merged over EAT's `vllm/xeon-values.yaml` (memory limit, P-core balloon, image digest) | +| `agentic-config.cfg` | EAT's own component toggles: gateway, ingress, Redis, pgvector, agent sandbox on; Kubespray, observability, models, KubeRay, CPU balloons off; `release-1.1.0`'s guardrail, vLLM Semantic Router, OpenShell, Kata, Ceph and rack-scale mode written out `off` | +| `vllm-values.yaml` | k3d-gpu values merged over EAT's `vllm/xeon-values.yaml` (memory limit, P-core balloon, the `v0.28.0` image by digest) | | `gateway-charts.py` | writes pinned copies of EAT's GenAI Gateway chart directories; `brownfield.sh` passes them to `deploy-genai-gateway.yml` | | `gateway-values.yaml` | the gateway chart's pins: postgresql and redis chart versions, LiteLLM, PostgreSQL, Redis and init images by digest | | `gateway-trace-values.yaml` | the Langfuse trace stack's pins: Langfuse web and worker, PostgreSQL, Valkey, ClickHouse, ZooKeeper, MinIO by digest | @@ -73,9 +82,10 @@ The gateway is reached on the host IP of the running ingress-nginx controller pod (the k3d node IP). ingress-nginx binds hostPort 80/443 there, with `Host: api.example.com` (`cluster_url` in `agentic-config.cfg`) over TLS with a self-signed cert. The host's own ports 80/443 are not used. -## Observed end state +## Observed end state (`release-1.0.3-hotfix`) -`eat-check.sh` on the live cluster: +`eat-check.sh` on the live cluster, on the previous pin (EAT `0d3438d`, vLLM CPU +`v0.24.0`); the `release-1.1.0` run is F4: ``` ==> Chat through LiteLLM at https://api.example.com (ingress on 172.20.0.2)... @@ -140,14 +150,14 @@ the one behind `agent up --model`) to the catalog model, as values only. `eat-opt.py` runs in the bastion after the values merge. It reads the Hugging Face id from the `--set LLM_MODEL_ID="..."` line of EAT's playbook block for that catalog id. It asks the optimizer what that model wants on vLLM on the CPU, at the -chart's vLLM version (the image tag, `v0.24.0`). Then it edits that model's +chart's vLLM version (the image tag, `v0.28.0`). Then it edits that model's `modelConfigs` entry in the merged values file: - engine arguments the entry lacks are appended. EAT's own arguments are never removed or changed: a flag EAT already sets is kept and reported. - a speculative config is set (with `speculative.enabled`) when the optimizer - chose one. vLLM v0.24.0 marks speculative decoding unsupported on the CPU, so - none is chosen today. + chose one. vLLM marks speculative decoding unsupported on the CPU before + v0.31.0, so none is chosen on `v0.28.0`. - the model id stays EAT's. The playbook passes it with `--set`, which wins over any values file, so a different variant is reported as not applied. @@ -161,6 +171,12 @@ optimizer uses its built-in map, or leaves the values as merged with one line. ## Blockers hit, and the fix for each +Found on `release-1.0.3-hotfix`; file and line numbers are at `0d3438d`. Read +from source at `0c726f5` (not run), each still applies to `release-1.1.0` +except where an item says otherwise, and item 11 is new there. In +`release-1.1.0`, `deploy-agentic-stack.sh` sources the brownfield file at line +702, parses `"$@"` at line 58 and has its `DEPLOY_SOURCED` hook at line 1188. + 1. **No EAT menu reaches brownfield.** `brownfield_deployment()` is defined in `core/lib/brownfield/brownfield_deployment.sh`, but `deploy-agentic-stack.sh` only sources it (line 629) and never calls it. *Fix:* `brownfield.sh` sources @@ -180,7 +196,8 @@ optimizer uses its built-in map, or leaves the values as merged with one line. against system Python (setup-bastion.yml:59-67) fails on 24.04 with `error: externally-managed-environment` (PEP 668). `sudo` drops EAT's `PIP_BREAK_SYSTEM_PACKAGES`, so the image sets `break-system-packages` in - `/etc/pip.conf`. + `/etc/pip.conf`. `release-1.1.0` passes `--break-system-packages` itself + (setup-bastion.yml:73 and :171), so that line is now redundant there. 5. **Root kubectl had no kubeconfig.** `deploy-cluster-config.yml` runs with `--become` (cluster-config-init.sh:11). Brownfield copies the kubeconfig only to the user's `~/.kube/config`, so root's kubectl hit `localhost:8080`: @@ -237,26 +254,52 @@ optimizer uses its built-in map, or leaves the values as merged with one line. any match expression (`chooseBalloonDef`, cmd/plugins/balloons/policy/balloons-policy.go:747). So `cpu_balloon_annotation: performance` with `cpu: "8"` puts vLLM in k3d-gpu's P-core balloon, sized to 8 logical CPUs (4 P-cores), as observed - above. - -Not a blocker: **AMX/AVX-512 are not required.** The CPU vLLM image with EAT's -exact Qwen3 settings (`VLLM_CPU_SGL_KERNEL=1`, bf16, block size 128, chunked -prefill, prefix caching, hermes tool parser) served on this AVX2-only CPU, both + above. `release-1.1.0` reworks the role (`install_nri.yaml` is gone; it + renders one `BalloonsPolicy` per node) and still runs it only on + `deploy_nri_balloon_policy=yes` (fresh-install.sh:247), which stays off. +11. **The guardrail ignores the config on the brownfield path** (new in + `release-1.1.0`). `deploy-agentic-stack.sh:195` sets + `DEPLOY_GUARDRAILS="${DEPLOY_GUARDRAILS:-on}"` when it is sourced, and + `fresh-install.sh:419` deploys `Qwen/Qwen3Guard-Gen-0.6B` when that is `on`. + Only `main()` reads `deploy_guardrails` from the config (line 1138), and + `DEPLOY_SOURCED=1` skips `main()`, so `deploy_guardrails=off` alone would not + stop it. *Fix:* `brownfield.sh` reads `deploy_guardrails` the way + `read_config_file` reads every other toggle (last assignment wins) and + exports `DEPLOY_GUARDRAILS` before sourcing; `agentic-config.cfg` sets it + `off`. With no value in the config, EAT's default (`on`) stands, so + `eat-up.sh` stops before touching the cluster when the config gives + `deploy_guardrails` no value (a config written for `release-1.0.3-hotfix` + has none) and asks for `off` or `on`. + +Not a blocker on the previous pin: **AMX/AVX-512 are not required.** The CPU +vLLM image (`v0.24.0`) with EAT's exact Qwen3 settings (`VLLM_CPU_SGL_KERNEL=1`, +bf16, block size 128, chunked prefill, prefix caching, hermes tool parser) +served on this AVX2-only CPU, both in a plain `docker run` probe and in the cluster. vLLM logs one fallback: `Failed to create oneDNN linear, fallback to torch linear`. bf16 oneDNN matmul needs ISA this CPU lacks. That costs speed, not correctness. EAT's AMX check (`lscpu | grep -i amx`, get_optimized_cpu_topology.yaml:597-603) runs only in -the balloon path, which is off here. +the balloon path, which is off here. Whether `v0.28.0` serves on this CPU is +part of F4; it no longer reads `VLLM_CPU_SGL_KERNEL` +([vllm-project/vllm#50801](https://github.com/vllm-project/vllm/pull/50801)). ## Versions: pinned and floating -Pinned here: EAT by tag and commit (`eat-up.sh` refuses any other HEAD), the -bastion base image by digest, Helm v3.14.0 baked into the bastion by sha256, -the vLLM image by digest (`vllm-values.yaml`), and the GenAI Gateway's charts -and images. EAT itself pins ingress-nginx 4.12.2 (`ingress_controller` in +Pinned here (checked 2026-10-29): + +| What | Pin | Source | +|------|-----|--------| +| EAT | `release-1.1.0`, commit `0c726f576595971c53cc45b94e08ba969beb4a4a`; `eat-up.sh` refuses any other HEAD | `eat-up.sh`; the latest EAT release ([releases](https://github.com/intel/enterprise-agent-toolkit/releases/tag/release-1.1.0), published 2026-10-22) | +| bastion base | `ubuntu:24.04` by digest | `bastion.Dockerfile` | +| Helm in the bastion | v3.14.0 by sha256, the version `setup-bastion.yml` asks for | `bastion.Dockerfile` | +| vLLM CPU | `vllm/vllm-openai-cpu:v0.28.0@sha256:197354e6...df9647`, the tag `release-1.1.0`'s `xeon-values.yaml` names (line 34) | `vllm-values.yaml` | +| GenAI Gateway | postgresql 18.12.4 and redis 28.3.1 charts; 11 images by digest (below) | `gateway-values.yaml`, `gateway-trace-values.yaml` | + +EAT itself pins ingress-nginx 4.12.2 (`ingress_controller` in `agentic-metadata.cfg`), kubectl v1.29.0, agent-sandbox v0.5.0 and the -Langfuse chart 1.5.30. `images.lock` lists every image pinned here, and -`scripts/images-lock pins` fails CI on any image in these files without a digest. +Langfuse chart 1.5.30; `release-1.1.0` keeps all four. `images.lock` lists every +image pinned here, and `scripts/images-lock pins` fails CI on any image in these +files without a digest. The GenAI Gateway needed its own fix. `deploy-genai-gateway.yml` runs `helm dependency update` on `genai-gateway`, whose `Chart.yaml` asks for @@ -284,16 +327,28 @@ in the bastion and pins them: precedence over the playbook's `vars_files`. `gateway-charts.py` stops the deploy if EAT's files no longer match: an overlay repository or tag EAT's values do not name, a missing dependency, or no `busybox:1.36` line. Rendered -with Helm v3.14.0 on 2026-10-18, the copies differ from EAT's charts only in -the 11 `image:` lines, each now `@sha256:...`. +with Helm v3.14.0 on 2026-10-18 (`0d3438d`), the copies differ from EAT's charts +only in the 11 `image:` lines, each now `@sha256:...`. + +`release-1.1.0` adds a custom hybrid router to the gateway chart: +`customRouter.enabled: true`, a second LiteLLM callback +(`custom_hybrid_router.proxy_handler_instance`), and a ConfigMap, +`genai-gateway-router-code`, that carries its Python into the LiteLLM pod. It +adds no image. The config moves to `/app/proxy_config.yaml` through a `subPath` +mount, so an edit to the `genai-gateway-config` ConfigMap reaches the gateway +only when its pod restarts (`eat-remote.sh` restarts it). `gateway-charts.py` +runs clean on `release-1.1.0`'s charts and keeps the router values. Rendered +with Helm v4.1.1 on 2026-10-29 (`helm template`, the same dependency charts and +values on both sides), the copies again differ from EAT's charts only in the 11 +`image:` lines: 4 in the gateway, 7 in Langfuse. Helm needed care: `setup-bastion.yml` installs it by running `get-helm-3` from helm's `main` branch, unless `/usr/local/bin/helm` exists (`creates:`). With Helm baked in, that task reports `ok` and the script it downloads is never run. -Still floating, all inside EAT's own playbooks and not reachable without -editing EAT: the bastion's apt packages (from the current Ubuntu 24.04 -archive), the pip packages `setup-bastion.yml` installs (`ansible`, +Still floating at `release-1.1.0`, all inside EAT's own playbooks and not +reachable without editing EAT: the bastion's apt packages (from the current +Ubuntu 24.04 archive), the pip packages `setup-bastion.yml` installs (`ansible`, `ansible-core`, `kubernetes`, `pyyaml`, `jsonpatch`, `requests`, `urllib3`, no versions), its `ansible-galaxy collection install --force` of `kubernetes.core`, `community.kubernetes`, `community.general` and `ansible.posix`, and the @@ -306,9 +361,13 @@ observed. ## What stays unsupported, and why -- **Rook-Ceph.** EAT's brownfield menu hard-sets `deploy_ceph="no"` - (brownfield_deployment.sh:193). k3s's `local-path` class serves every PVC - instead. The vLLM chart pins `storageClassName: local-path`. +- **Rook-Ceph.** `agentic-config.cfg` sets `deploy_ceph=off`. EAT's brownfield + menu also sets `deploy_ceph="no"` (brownfield_deployment.sh:193), but + `fresh_installation` reads the config again right after (fresh-install.sh:20 + at `0c726f5`), so the config's value is the one that counts. k3s's + `local-path` class, the cluster default, serves every PVC instead. The vLLM + chart pinned `storageClassName: local-path` at `0d3438d`; `release-1.1.0`'s + names no class, so its PVC gets the default. - **EAT's CPU balloons policy** (`deploy_nri_balloon_policy`), see blocker 10. On a k3d-gpu node without `hybrid` it could install. That case is UNVERIFIED (probe: `K3D_GPU_VENDORS=nvidia,intel k3d-gpu up`, then @@ -320,11 +379,25 @@ observed. Not tried, so UNVERIFIED on k3d: observability (`deploy_observability=on`), Istio ambient (`deploy_istio`, not set by the default config), KubeRay (`deploy_kuberay=on`), the AgenticAI plugin (`deploy_agenticai_plugin=on`), -OVMS models. Probe for each: set the toggle in `agentic-config.cfg`, rerun -`eat-up.sh`, and check the component's own endpoint. +OVMS models, and `release-1.1.0`'s guardrail (`deploy_guardrails=on`) and vLLM +Semantic Router (`deploy_vllm_sr=on`). Probe for each: set the toggle in +`agentic-config.cfg`, rerun `eat-up.sh`, and check the component's own endpoint. +`eat-up.sh` stops on `deploy_openshell=on` before touching the cluster: OpenShell +has not run on a k3d-gpu cluster. Kata (`deploy_kata_containers=on`) is +expected to need `/dev/kvm` and nested virtualization inside the k3d node, which +k3d-gpu does not pass through (read from source, not tried). ## Upstream notes for EAT (at `0d3438d`) +Rechecked at `release-1.1.0` (`0c726f5`, read from source): every note below +still holds except the `setup-bastion.yml` PEP 668 one, which `release-1.1.0` +fixes. Line numbers have moved (for example `deploy-agentic-stack.sh` sources +the brownfield file at line 702, `get_model_names` is at +`model-selection.sh:106`, the Qwen3-1.7B KV cache at `xeon-values.yaml:197` and +the registration job's `curlimages/curl:latest` at +`register-model-genai-gateway.yml:39`). The `nri_cpu_balloons` role is rewritten +but still installs `nri-resource-policy-balloons` with no chart version. + - `deploy-agentic-stack.sh:58` parses `"$@"` even under `DEPLOY_SOURCED=1` (`:1137`). The parse loop belongs inside `main`. - `deploy-agentic-stack.sh:629` sources `brownfield_deployment.sh`, but no diff --git a/integrations/eat/agentic-config.cfg b/integrations/eat/agentic-config.cfg index ecfb0c75..cdb7d258 100644 --- a/integrations/eat/agentic-config.cfg +++ b/integrations/eat/agentic-config.cfg @@ -13,6 +13,12 @@ deploy_redis=on deploy_pgvector=on deploy_kuberay=off deploy_agent_sandbox=on +deploy_kata_containers=off +deploy_ceph=off +rack_scale_mode=off +deploy_guardrails=off +deploy_vllm_sr=off +deploy_openshell=off deploy_nri_balloon_policy=off http_proxy= https_proxy= diff --git a/integrations/eat/brownfield.sh b/integrations/eat/brownfield.sh index 3889ed2a..cf969c2a 100755 --- a/integrations/eat/brownfield.sh +++ b/integrations/eat/brownfield.sh @@ -1,8 +1,8 @@ #!/usr/bin/env bash # Runs inside the bastion container (bastion.Dockerfile). Drives EAT's own # brownfield path, brownfield_deployment() in core/lib/brownfield/, which no -# EAT menu reaches in release-1.0.3-hotfix. Its interactive prompts get fixed -# answers; every component toggle comes from core/inventory/agentic-config.cfg. +# EAT menu reaches in release-1.1.0. Its interactive prompts get fixed answers; +# every component toggle comes from core/inventory/agentic-config.cfg. # # brownfield.sh deploy the stack selected in agentic-config.cfg # brownfield.sh model deploy one model from EAT's vLLM playbook and register it in LiteLLM @@ -40,6 +40,20 @@ esac cluster_url=$(grep -E '^cluster_url=' "${EAT_DIR}/core/inventory/agentic-config.cfg" | cut -d= -f2-) +# cfg_value : the value EAT's read_config_file gives in the checkout's +# agentic-config.cfg (core/lib/system/precheck/read-config-file.sh at release-1.1.0): +# split on the first '=', key and value trimmed by xargs (which also drops quotes), +# comments skipped, the last assignment wins. Empty when the key is absent. +cfg_value() { + local key value v="" + while IFS='=' read -r key value || [ -n "${key}" ]; do + key=$(echo "${key}" | xargs 2>/dev/null) || continue + [ "${key}" = "$1" ] || continue + v=$(echo "${value}" | xargs 2>/dev/null) || v="${value}" + done < "${EAT_DIR}/core/inventory/agentic-config.cfg" + echo "${v}" +} + # EAT's one-click script makes a self-signed cert and an /etc/hosts entry; the # brownfield path expects both to exist. This is the container's /etc/hosts. if [ ! -f "${CERT_DIR}/cert.pem" ]; then @@ -57,6 +71,17 @@ fi sudo install -D -m 0600 "${EAT_KUBECONFIG}" /root/.kube/config cd "${EAT_DIR}" +# The guardrail step (fresh-install.sh:419) deploys Qwen3Guard when DEPLOY_GUARDRAILS +# is on. deploy-agentic-stack.sh sets it to on when sourced (line 195); only its main() +# (line 1138), which a sourced run skips, reads deploy_guardrails from the config. The +# config's value is handed over here, read as every other toggle; with none, EAT's +# default stands. +case "$(cfg_value deploy_guardrails)" in + "") ;; + on|yes) export DEPLOY_GUARDRAILS=on ;; + *) export DEPLOY_GUARDRAILS=off ;; +esac +echo "Guardrail: DEPLOY_GUARDRAILS=${DEPLOY_GUARDRAILS:-on (EAT default)}" # deploy-agentic-stack.sh parses "$@" at top level even when sourced, and rejects # "model" as an unknown argument, so it is sourced with no positional arguments. # DEPLOY_SOURCED=1 loads its functions without running its main(). diff --git a/integrations/eat/eat-up.sh b/integrations/eat/eat-up.sh index 057064ce..5c343a38 100755 --- a/integrations/eat/eat-up.sh +++ b/integrations/eat/eat-up.sh @@ -27,8 +27,8 @@ set -euo pipefail HERE="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" EAT_REPO="https://github.com/intel/enterprise-agent-toolkit" -EAT_TAG="release-1.0.3-hotfix" -EAT_COMMIT="0d3438d7119de44cafc5903f66665c0b623e3333" +EAT_TAG="release-1.1.0" +EAT_COMMIT="0c726f576595971c53cc45b94e08ba969beb4a4a" EAT_WORK="${EAT_WORK:-${PWD}/eat-work}" EAT_KUBECONFIG="${EAT_KUBECONFIG:-${KUBECONFIG:-${HOME}/.kube/config}}" EAT_CONFIG="${EAT_CONFIG:-${HERE}/agentic-config.cfg}" @@ -39,27 +39,33 @@ BASTION_IMAGE="k3d-gpu-eat-bastion:$(sha256sum "${HERE}/bastion.Dockerfile" | cu err() { echo "ERROR: $*" >&2; exit 1; } info() { echo "==> $*"; } -# openshell_setting : the deploy_openshell value EAT main would use. Parsed the -# way its read_config_file does (core/lib/system/precheck/read-config-file.sh @0ecf67a): +# cfg_value : the value EAT would use for . Parsed the way its +# read_config_file does (core/lib/system/precheck/read-config-file.sh at ${EAT_TAG}): # split on the first '=', trim key and value with xargs (which also drops quotes), # skip comments, and the last assignment wins because the result is sourced. -openshell_setting() { +cfg_value() { local key value v="" while IFS='=' read -r key value || [ -n "${key}" ]; do key=$(echo "${key}" | xargs 2>/dev/null) || continue - [ "${key}" = deploy_openshell ] || continue + [ "${key}" = "$2" ] || continue v=$(echo "${value}" | xargs 2>/dev/null) || v="${value}" done < "$1" echo "${v}" } [ -f "${EAT_CONFIG}" ] || err "config ${EAT_CONFIG} not found" -# deploy_openshell arrived on EAT main after ${EAT_TAG} (PR #14); the pinned tag has no -# OpenShell role and would skip the key without a word. EAT maps on to yes and -# installs OpenShell when the value is yes (fresh-install.sh). -case "$(openshell_setting "${EAT_CONFIG}")" in - on|yes) err "deploy_openshell=on needs an EAT release newer than ${EAT_TAG}; set deploy_openshell=off" ;; +# ${EAT_TAG} ships NVIDIA OpenShell (PR #14) and installs it when the value is yes, after +# mapping on to yes (fresh-install.sh). It has never run on a k3d-gpu cluster: upstream +# lists a CNI that enforces NetworkPolicy and best-effort Landlock (docs/openshell.md). +case "$(cfg_value "${EAT_CONFIG}" deploy_openshell)" in + on|yes) err "deploy_openshell=on is unverified on k3d-gpu (${EAT_TAG} ships OpenShell, but it has not run on a k3d-gpu cluster); set deploy_openshell=off" ;; esac +# With no deploy_guardrails value, ${EAT_TAG} deploys its Qwen3Guard guardrail: +# deploy-agentic-stack.sh:195 defaults DEPLOY_GUARDRAILS to on and brownfield.sh keeps +# that default. A config written for release-1.0.3-hotfix has no such key, so the +# choice is asked for here rather than made for the user. +[ -n "$(cfg_value "${EAT_CONFIG}" deploy_guardrails)" ] \ + || err "${EAT_CONFIG} does not set deploy_guardrails, so ${EAT_TAG} would deploy its Qwen3Guard guardrail, which has not run on a k3d-gpu cluster; set deploy_guardrails=off (as the shipped agentic-config.cfg does) or deploy_guardrails=on" # The KV cache from the fit of EAT_FIT_MODEL, unless EAT_VLLM_KV_GIB is set. if [ -z "${EAT_VLLM_KV_GIB:-}" ] && [ -n "${EAT_FIT_MODEL:-}" ]; then command -v k3d-gpu >/dev/null 2>&1 || err "EAT_FIT_MODEL needs k3d-gpu on PATH (or set EAT_VLLM_KV_GIB)" diff --git a/integrations/eat/upstream/README.md b/integrations/eat/upstream/README.md index 59f72604..ef39579b 100644 --- a/integrations/eat/upstream/README.md +++ b/integrations/eat/upstream/README.md @@ -8,7 +8,7 @@ These are drafts for Intel's repos. **None of them has been filed, opened or pus - It deletes the toolkit's own installer: `deploy-agentic-stack.sh`, `core/lib/brownfield/`, `core/playbooks/setup-bastion.yml`, `core/playbooks/deploy-istio.yml`, `core/roles/nri_cpu_balloons/`. - It moves the toolkit onto `es_auto_installer.sh install agent-toolkit` in [intel/enterprise-ai-solutions](https://github.com/intel/enterprise-ai-solutions) (EAS) and intel/enterprise-inference. - It depends on intel/enterprise-inference#22 and goes in ahead of intel/enterprise-ai-solutions#40. Both are open. - - Re-read 2026-10-29: #19 merged on 2026-10-27 into the `release-2.0.0` branch, not `main`, and no tag carries it. intel/enterprise-inference#22 merged on 2026-10-22. intel/enterprise-ai-solutions#40 was closed unmerged on 2026-10-22, and intel/enterprise-ai-solutions#66 ("Integrate Agentic Toolkit"), opened a minute before, merged on 2026-10-29. Every patch here still passes `checks/apply-check.sh` on EAS `main` `5767995`. + - Re-read 2026-10-29: #19 merged on 2026-10-27 into the `release-2.0.0` branch, not `main`, and no tag carries it. intel/enterprise-inference#22 merged on 2026-10-22. intel/enterprise-ai-solutions#40 was closed unmerged on 2026-10-22, and intel/enterprise-ai-solutions#66 ("Integrate Agentic Toolkit"), opened a minute before, merged on 2026-10-29. Every patch here still passes `checks/apply-check.sh` on EAS `main` `5767995`, and on `97f6157` (#69), the `main` head later that day. On the EAT 2.0 pre-release `v1.2.0-rc.1` (`5c27fb3`), 0005 and 0006 fail: the `release-1.2` branch still has the EnvoyProxy task in `roles/envoy_gateway/tasks/install.yaml`, which the overlay's release-1.2 form of 0006 covers. Open EAS PRs #50 and #52 break 0006, and #61 breaks 0002, 0004 and 0005. `k3d-gpu eas` applies these drafts through [the k3d-gpu overlay](#the-k3d-gpu-overlay) ([docs/intel/eas.md](../../../docs/intel/eas.md#patch-overlay)). - The platform roles that matter for k3s (istio, envoy_gateway, kubernetes, nri_cpu_balloons) already live in EAS `main`. **EAS is the target for every patch here.** - There is no toolkit (EAT) patch. Its k3s platform-detection gap sits in `brownfield_deployment()`, which no entry point calls: it is sourced at [deploy-agentic-stack.sh#L631](https://github.com/intel/enterprise-agent-toolkit/blob/0ecf67a8331e8b502ef41e08bf6d2881416178c5/deploy-agentic-stack.sh#L631) and called only from inside itself, and #19 deletes the file. The issue draft lists it as an observation only. @@ -50,6 +50,18 @@ The patches carry no `Signed-off-by:`. EAS's CONTRIBUTING.md requires a DCO sign git am --signoff integrations/eat/upstream/patches/0002-eas-istio-global-platform.patch ``` +## The k3d-gpu overlay + +Until upstream carries them, k3d-gpu applies these drafts itself to the EAS checkout it installs from. [integrations/eas/overlay.json](../../eas/overlay.json) lists each patch with its variants, when it is needed (`always`, `eas_owns_nri`, `multi_node`, `never`), a probe for an upstream fix done another way, and the knob the generator writes. [integrations/eas/overlay.py](../../eas/overlay.py) decides per patch at the pinned EAS commit and prints `fact -> choice [source]`: + +- `skip`: not needed on this cluster. +- `drop-merged`: the patch reverse-applies. +- `drop-fixed`: the probe matches, no file it reads keeps what the probe rules out (for 0006, the exact `""` selector anywhere in the role), and the knob is still there. +- `apply`: the first variant that applies. +- `STOP`, before anything changes: it names the upstream change that moved the hunk (a row's `moved` hint when the hint watches a file whose hunks fail, otherwise the last commit on those files) and says to regenerate. + +The drafts here stay the only copy. The one overlay-only patch is the release-1.2 form of 0006, [integrations/eas/patches/0006-release-1.2-envoy-control-plane-affinity.patch](../../eas/patches/0006-release-1.2-envoy-control-plane-affinity.patch); on that branch the EnvoyProxy task is still in `install.yaml`. + ## Static validation | Check | Result | @@ -63,11 +75,14 @@ git am --signoff integrations/eat/upstream/patches/0002-eas-istio-global-platfor | 0004 behaviour, [checks/eas-byo-topology.sh](checks/eas-byo-topology.sh) (stub `kubernetes.core`) | upstream: BYO 3 nodes → no labels (FAIL); patched: server `platform`, agents `inference`. BYO with one node already labelled → that node untouched; BYO with node list or patch denied → install succeeds, no labels; managed with patch denied → still fails. BYO 1 node, topology off, managed single- and multi-node all unchanged | | 0006 behaviour | the patched `EnvoyProxy` validates against the v1alpha1 CRD in gateway-helm v1.7.1, which includes `pod.affinity` and does not mark `nodeSelector` nullable | | 0006 re-install, [checks/eas-envoy-reinstall.py](checks/eas-envoy-reinstall.py) | models kubernetes.core 6.3.0 updating a custom resource (JSON merge patch, RFC 7386) over the object the unpatched task created. Without `nodeSelector: null` the old selector survives next to the affinity (FAIL); with it, gone. Fresh install: the null is pruned on create | +| 0006 release-1.2 variant, same script on EAS `release-1.2` `5c27fb3` before and after the variant | fresh install and re-install over the unpatched object both leave `nodeSelector: None` and the `Exists` affinity (2026-10-29). release-1.2 pins `envoy_gateway_version: "1.7.1"`, the gateway-helm the 0006 CRD check used | +| Overlay decisions, `checks/apply-check.sh --overlay` on a fresh clone (2026-10-29) | EAS `main` `97f6157`: 0002 and 0006 apply (0006 variant a), 0003 skips unless the policy is nri-balloons, 0004 skips on one node, 0005 always skips. `release-1.2` `5c27fb3`: the same, with 0006 variant b. Open PRs: #50 and #52 STOP 0006 (the EnvoyProxy provider moves into `_eg_k8s_provider`), #61 STOPs 0002 (`headlamp_enabled` in its `global_config.yaml` context) | How to rerun the checks (an EAS clone; `ansible-core` and `jmespath` for the topology check; PyYAML for the envoy check): ```bash integrations/eat/upstream/checks/apply-check.sh ../enterprise-ai-solutions +integrations/eat/upstream/checks/apply-check.sh --overlay # clones EAS itself; needs the network integrations/eat/upstream/checks/eas-byo-topology.sh integrations/eat/upstream/checks/eas-envoy-reinstall.py ``` diff --git a/integrations/eat/upstream/checks/apply-check.sh b/integrations/eat/upstream/checks/apply-check.sh index cc8429bc..dc9cfa57 100755 --- a/integrations/eat/upstream/checks/apply-check.sh +++ b/integrations/eat/upstream/checks/apply-check.sh @@ -4,16 +4,44 @@ # that the series applies in order with git am. The clone is copied, never # modified. # +# With --overlay it prints the decisions of integrations/eas/overlay.py, the +# overlay `k3d-gpu eas up` applies, against a real EAS clone: every +# overlay.json `verified` case at its pinned sha (fails when a recorded decision +# moved), then every `watch` ref (branch tips and open upstream PRs) for +# k3d-gpu's own facts. Without a clone it clones intel/enterprise-ai-solutions; +# a given clone is copied first. Fetches branches and PR heads, so it needs the +# network and stays out of CI. +# # Usage: integrations/eat/upstream/checks/apply-check.sh +# integrations/eat/upstream/checks/apply-check.sh --overlay [] set -uo pipefail -EAS=${1:?usage: $0 } PATCHES="$(cd "$(dirname "$0")/../patches" && pwd)" +ROOT="$(cd "$(dirname "$0")/../../../.." && pwd)" WORK=$(mktemp -d) trap 'rm -rf "${WORK}"' EXIT FAILS=0 +if [ "${1:-}" = --overlay ]; then + if [ -n "${2:-}" ]; then + cp -a "$2" "${WORK}/eas" + else + git clone -q https://github.com/intel/enterprise-ai-solutions.git "${WORK}/eas" || exit 2 + fi + git -C "${WORK}/eas" fetch -q origin '+refs/heads/*:refs/remotes/origin/*' \ + '+refs/pull/*/head:refs/remotes/pull/*/head' || exit 2 + echo "## verified pins (integrations/eas/overlay.json)" + python3 "${ROOT}/integrations/eas/overlay.py" --eas "${WORK}/eas" --check-verified || FAILS=$((FAILS + 1)) + echo + echo "## watch refs, k3d-gpu facts" + python3 "${ROOT}/integrations/eas/overlay.py" --eas "${WORK}/eas" --watch || FAILS=$((FAILS + 1)) + [ "${FAILS}" -eq 0 ] + exit +fi + +EAS=${1:?usage: $0 | --overlay []} + # fresh: a throwaway copy with the clone's HEAD checked out clean. fresh() { rm -rf "${WORK:?}/eas" diff --git a/integrations/eat/vllm-values.yaml b/integrations/eat/vllm-values.yaml index 3808bdfe..d66fc51c 100644 --- a/integrations/eat/vllm-values.yaml +++ b/integrations/eat/vllm-values.yaml @@ -16,8 +16,8 @@ memory: 16Gi cpu_balloon_annotation: performance cpu: "8" -# EAT's xeon-values.yaml names this image by tag only. Same tag, pinned to its -# multi-arch index digest; the chart renders ":". +# EAT's xeon-values.yaml names this image by tag only (release-1.1.0: v0.28.0). Same +# tag, pinned to its multi-arch index digest; the chart renders ":". image: repository: vllm/vllm-openai-cpu - tag: "v0.24.0@sha256:b0e6f8604413a8bfcca8836bb4b57b47f1aa653957e07f8903ece531309981a1" + tag: "v0.28.0@sha256:197354e6475e638eb5ccca09beb078488046a82de0e204e7429bf1a804df9647" diff --git a/mkdocs.yml b/mkdocs.yml index 7177a2b6..acbcbaad 100644 --- a/mkdocs.yml +++ b/mkdocs.yml @@ -36,6 +36,7 @@ nav: - Crescent removed models: hosts/crescent-removed-models.md - Integrations: - GPUStack: integrations/gpustack.md + - Intel EAS (EAT 2.0): intel/eas.md - Design: - Speculative decoding: design/speculative-decoding.md - Moat: moat-design.md diff --git a/tests/eas_test.sh b/tests/eas_test.sh new file mode 100755 index 00000000..610835a8 --- /dev/null +++ b/tests/eas_test.sh @@ -0,0 +1,764 @@ +#!/usr/bin/env bash +# Checks for integrations/eas without a cluster. With no argument every section +# runs; name sections to run only those (tests/eas_test.sh overlay). +# +# overlay integrations/eas/overlay.py, the k3s/k3d patch overlay, on synthetic +# git repos built from verbatim EAS files (tests/fixtures/eas/trees, +# EAS main 97f6157 and release-1.2 5c27fb3): +# - the fixtures are byte-identical to upstream (blob shas in SOURCES) +# - overlay.json resolves every patch, upstream drafts first-class, no copies +# - main: 0002 and 0006 apply, 0003 only for nri-balloons, 0004 only on +# more than one node, 0005 never; the recorded `verified` cases hold +# - patches already in the tree: drop-merged (git apply -R --check) +# - the fix done another way with the knob present: drop-fixed +# - the fix done another way with the knob renamed: STOP +# - 0006: an Exists term counts only when no file of the role keeps the +# exact "" selector (any quoting), and a #50-layout vars/k3s.yaml only +# when it selects a shape other than controlplane_daemonset +# - the hunk moved as open EAS #50/#52 move it: STOP naming #50 +# - a STOP names a `moved` hint only when the hint watches a file whose +# hunks fail, else the last commit on the failing files +# - release-1.2: 0006 variant b applies, 0006a and 0005 do not +# - --apply changes the checkout only when no row STOPs, and a re-run is a no-op +# - every decision prints as `fact -> choice [source]`; --explain gives permalinks +# config integrations/eas/eas-config.py on golden fixtures, tests/fixtures/eas/config//: +# facts.json and the args file go in; expected/ holds what must come out, +# byte for byte: k3d-gpu-overrides.yaml, global_config.edit.yaml, +# models.edit.yaml, repos..yaml and choices.txt (also its stdout). +# A case with expected/refusal.txt must exit 3, print exactly that on stderr +# and write no file. Also: the generator runs on the Python standard library +# alone (python3 -S), its outputs parse as YAML of the declared shape, a +# floating ref is refused, malformed facts exit 2, a refusal or a second run +# leaves no stale file of an earlier run, a KV cache lowered to fit's carries +# fit's --max-model-len, NFD is left to EI only under the release name EI's +# role looks for, --explain prints permalinks, every source it can cite is +# a permalink at a full commit SHA, and pins.json has the k3d-gpu.eas-pins/v1 +# shape. +# Needs bash, git, python3 (with PyYAML, for the config section's shape checks only). + +set -uo pipefail + +ROOT="$(cd "$(dirname "$0")/.." && pwd)" +PASS=0 +FAILS=0 +WORK=$(mktemp -d) +trap 'rm -rf "${WORK}"' EXIT + +ok() { PASS=$((PASS + 1)); echo "ok $1"; } +fail() { FAILS=$((FAILS + 1)); echo "FAIL $1"; } + +# check