Hugging Face Transformers
Hugging Face · Open Source & Tools
Official docs for the Transformers library, supporting inference, training, and fine-tuning of hundreds of pretrained models — the standard tool for working with models.
Self-hostable open models, inference and fine-tuning toolchains · 11 resources (11 checked)
Hugging Face · Open Source & Tools
Official docs for the Transformers library, supporting inference, training, and fine-tuning of hundreds of pretrained models — the standard tool for working with models.
hiyouga 等 · Open Source & Tools
A one-stop LLM fine-tuning framework supporting LoRA and full fine-tuning of mainstream open-source models, with friendly Chinese docs and a quick start.
infiniflow · Open Source & Tools
A RAG engine built on deep document understanding, offering out-of-the-box knowledge-base Q&A and parsing of complex document formats.
阿里云 · Open Source & Tools
The Qwen series open-source model repository, covering everything from 0.5B to 110B+ parameters plus multimodal variants, with an active ecosystem.
百度 · Open Source & Tools
China's first open-source deep learning framework, with comprehensive Chinese docs and industry case studies, and support for domestic hardware.
华为 · Open Source & Tools
Huawei's open-source deep learning framework with thorough docs and tutorials, tuned for Ascend hardware and domestic tech stacks.
LangChain · Open Source & Tools
The main LangChain repository source, for developers who want to dig into the framework's internals or contribute to the community.
Nomic AI · Open Source & Tools
A local LLM ecosystem that runs on consumer hardware, with a model marketplace and desktop app — privacy friendly.
LobeHub · Open Source & Tools
A modern open-source chat UI framework supporting multiple model providers and plugins, easy to deploy.
LibreChat · Open Source & Tools
An all-in-one open-source chat platform that connects OpenAI, Anthropic, and local models, with multi-user support.
Mintplex Labs · Open Source & Tools
A local-first document Q&A app — upload files and start chatting; great for quickly testing RAG ideas.