Add Qwen3.8-27B WebGPU recurrent-state generation example

js/README.md

@@ -52,3 +52,5 @@ Click links for README of each examples.
 
 * [Phi-3-mini-4k-instruct](chat) - demonstrates how to run [Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) in your browser using [onnxruntime-web](https://github.com/microsoft/onnxruntime/js) with webgpu.
 
+
+* [Qwen3.8-27B INT4](qwen38-webgpu) - demonstrates community-converted Qwen3.8-27B text generation with ONNX Runtime WebGPU, JSPI external-data loading and recurrent-state caching.

js/qwen38-webgpu/.gitignore

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+node_modules/
+dist/
+.models/
+results/
+.env
+.DS_Store

js/qwen38-webgpu/LICENSE

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js/qwen38-webgpu/README.md

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+# Qwen3.8-27B in the browser with ONNX Runtime WebGPU
+
+A minimal text-generation example using a public **Qwen3.8-27B INT4** model pack, ONNX Runtime Web's **JSPI/Blob loader**, and hardware WebGPU. It runs independently of Clinstruct. All model operators execute locally on GPU, with CPU inference fallback disabled; JavaScript handles tokenization, sequence metadata and greedy sampling.
+
+**Weights: approximately 15.26 GB. Tested on a 48 GiB Apple Silicon Mac, Chrome 154, Metal 3 WebGPU.** Earlier integrated tests measured about 5–6 tokens/s; the standalone 32-token smoke test measured about 10 tokens/s. See [validation.json](validation.json) for exact timings. Other hardware and long contexts are unvalidated. This is a runnable engineering example, not a quality benchmark or an official Microsoft/Alibaba release.
+
+## Run
+
+Install Node.js ≥20.19. Use current Chrome or Edge with hardware WebGPU, `shader-f16` and WebAssembly JSPI, in an ordinary browser profile.
+
+```sh
+git clone https://github.com/RuurdKuiper/qwen38-27b-onnx-webgpu.git
+cd qwen38-27b-onnx-webgpu
+npm ci
+npm run download:model
+npm run dev -- --port 5174
+```
+
+Open `http://127.0.0.1:5174`, click **Load model**, then generate. The download script gets the [public Hugging Face pack](https://huggingface.co/Ruurd/Qwen3.8-27B-ONNX-WebGPU-INT4) at the immutable commit in `model.json` and verifies file sizes/SHA-256 checksums. Re-running it preserves verified completed shards. The local server only serves static assets; it runs no inference. Prompts remain in the browser.
+
+If the model is already installed elsewhere:
+
+```sh
+MODEL_DIR=/absolute/path/to/model-pack npm run dev -- --port 5174
+```
+
+`npm run build` bundles the application and pinned runtime, excluding weights. To deploy that build, serve the model pack separately at `/models/onnx/Qwen3.8-27B-GenAI-WebGPU-INT4/` on the same secure origin. Never bundle the weights into the application ZIP.
+
+## Model and generation contract
+
+This export requires the complete graph/state contract, not only `input_ids → logits`. The worker inspects `manifest.json` and `genai_config.json` and retains **128 state tensors on GPU**: 32 KV, 48 convolution and 48 recurrent. Each prompt starts fresh state; decoding retains state between tokens. Generation is batch-one contiguous unpadded text, 32 new tokens maximum in this UI, temperature zero, and thinking disabled. Qwen's three-axis position IDs are supplied explicitly.
+
+The native graph is preserved. `model.browser.onnx` replaces six known attention-mask metadata operations with host `seqlens_k` and `total_sequence_length` inputs to avoid CPU placement; weights and model computation are unchanged relative to the native export. INT4 block size is 32; both MatMul and Gather (untied embeddings) are quantized. Vision, MTP, paged attention, speculative decoding and CUDA-specific GatedDeltaNet are excluded.
+
+The example reports model bytes, download/load time, first-token latency, decoding speed, available JS heap statistics, GPU adapter/features and runtime warnings. Heap statistics exclude GPU allocations. The loader uses `onnxruntime-web@1.31.0-dev.20260914-8d85527a0`; Transformers.js 4.3.0 supplies tokenization only. The tested 48 GiB machine is not a measured minimum requirement. Large Blob loading failed in an incognito test.
+
+## Reproduce and test
+
+`export/` contains the pinned Python exporter environment and the official-builder wrapper. The memory-bounded serializer is an optional adapter around the official DEFAULT quantizer; it handles large intermediate weights and emits ≤1 GiB shards without changing quantization arithmetic. See `export/README.md` for commands and architecture limitations.
+
+With Vite running, `npm run test:browser` launches installed Chrome in a fresh ordinary profile, blocks external requests, checks arithmetic, ≥20 consecutive generated tokens, strict GPU execution and all 128 retained state tensors, and writes `results/browser.json`. For another origin set `DEMO_URL`.
+
+## Attribution
+
+Qwen3.8-27B is copyright 2026 Alibaba Cloud under Apache 2.0. The model repository includes its `LICENSE` and `NOTICE`. This browser example and conversion tooling are copyright 2026 Ruurd Kuiper under Apache 2.0; dependencies retain their own licenses. The worker originates from the tested Clinstruct integration and is reproduced here so other applications can use the same generation path.
+
+Upstream projects: [ONNX Runtime](https://github.com/microsoft/onnxruntime), [ONNX Runtime GenAI](https://github.com/microsoft/onnxruntime-genai), [Transformers.js](https://github.com/huggingface/transformers.js), [original checkpoint](https://huggingface.co/Qwen/Qwen3.8-27B).

js/qwen38-webgpu/download-model.mjs

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+// Download immutable public assets; the browser performs all inference locally.
+import { createHash } from 'node:crypto';
+import { createReadStream, createWriteStream } from 'node:fs';
+import { mkdir, readFile, rename, rm, stat } from 'node:fs/promises';
+import { resolve } from 'node:path';
+import { Readable, Transform } from 'node:stream';
+import { pipeline } from 'node:stream/promises';
+const config = JSON.parse(await readFile(new URL('./model.json', import.meta.url), 'utf8'));
+const root = resolve(process.env.MODEL_DIR ?? `.models/${config.id}`);
+await mkdir(root, { recursive: true });
+async function checksum(file) {
+  const hash = createHash('sha256');
+  for await (const chunk of createReadStream(file)) hash.update(chunk);
+  return hash.digest('hex');
+}
+for (const file of config.files) {
+  if (!/^[A-Za-z0-9_.-]+$/.test(file.name) || ['.', '..'].includes(file.name)) throw new Error('Unexpected model filename.');
+  const destination = resolve(root, file.name);
+  try {
+    if ((await stat(destination)).size === file.bytes && await checksum(destination) === file.sha256) {
+      console.log('Verified existing', file.name); continue;
+    }
+  } catch (error) { if (error.code !== 'ENOENT') throw error; }
+  const partial = destination + '.part';
+  console.log('Downloading', file.name, file.bytes, 'bytes');
+  const response = await fetch(`https://huggingface.co/${config.repo}/resolve/${config.revision}/${file.name}?download=true`);
+  if (!response.ok) throw new Error(`HTTP ${response.status}: ${file.name}`);
+  const hash = createHash('sha256'); let bytes = 0;
+  const verify = new Transform({ transform(chunk, encoding, callback) { bytes += chunk.length; hash.update(chunk); callback(null, chunk); } });
+  try {
+    await pipeline(Readable.fromWeb(response.body), verify, createWriteStream(partial));
+    if (bytes !== file.bytes || hash.digest('hex') !== file.sha256) throw new Error(`Integrity check failed: ${file.name}`);
+    await rename(partial, destination);
+  } catch (error) { await rm(partial, { force: true }); throw error; }
+}
+console.log('Verified model pack ready:', root);

js/qwen38-webgpu/export/.gitignore

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+.venv/
+.work/
+node_modules/
+__pycache__/
+*.log