The Best TypeScript framework for fine-tuning
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Updated
Oct 30, 2026 - TypeScript
The Best TypeScript framework for fine-tuning
Local-first service attribution, stale development server detection, AI runtime health monitoring, and open-weight model capacity planning.
Curated list of open-weight AI models with commercially exploitable licenses, verified benchmarks, and no EU restrictions.
Local LLM·RAG·AI Agent·바이브 코딩을 개념부터 실습과 검증까지 다루는 학습 자료
Run frontier open-weight models privately on NVIDIA DGX Spark.
Benchmark how well any model performs real-world, long-horizon coding tasks across coding agents (harnesses) -- Claude Code and pi. Run models three ways -- Anthropic on Amazon Bedrock, open-weight on Bedrock via a LiteLLM proxy, or self-hosted on EC2 with vLLM -- score them with an LLM judge, and plot the cost/quality Pareto frontier.
Source-tracked catalog of abliterated, low-refusal, and community-reported open-weight and hosted language models
Find what open-weight Large Language Model (LLM) can fit into your hardware and run it
Hacktoberfest Hack Day 2026
Index of source-tracked low-filter, abliterated, and community-reported language, image, and video model catalogs
“A clean, from-scratch implementation of the OLMo architecture with KV caching, RoPE, and an efficient autoregressive inference pipeline. Designed as a minimal yet extensible foundation for post-training research, including RLHF, preference optimization, and reasoning-focused systems.”
Fine-tune small open models into reliable JSON tool callers. Reproducible, end to end, on a single GPU.
Zro CLI - Easily use your existing agent harnesses and setup with Zro
An agent that compiles open-source libraries into verified MCP tools on demand, and keeps only the ones that pass a locked-down sandbox. Open-weight models only.
An independent, evidence-graded read on how much you own the open models and inference providers you rely on.
Run an OpenAI-compatible vLLM endpoint for an open-weight model on a Google Colab GPU.
Top Subscription For Open Weight Models. (Opensource) 🌟 Star if you like it! 🌟
Evaluate open-weight models and plan inference deployments on AWS, including your own fine-tuned models. Compare hosting options, size CPU/GPU capacity, and explore tokenomics with live pricing and Savings Plans comparisons.
A lazy, local, undoable file tidier. An open-weight model in Ollama sorts and renames your messy folder. Nothing leaves your machine.
Klepon: Taste of Indonesia
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