QwenLM/Qwen3 resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

27560 stars · 2044 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Qwen3 is a family of open-weight large language models from Alibaba's Qwen team, with instruct and thinking variants in multiple sizes. The repository serves as the official hub with documentation, quickstart guides, and links to checkpoints on Hugging Face and ModelScope.

Use cases

• download and run open-weight LLMs locally
• deploy a large language model with vLLM or SGLang
• fine-tune an LLM with SFT or RLHF
• quantize an LLM to GGUF, GPTQ, or AWQ
• build RAG or agent applications on top of an open model
• run a chat model on CPU or GPU with llama.cpp or Ollama

When to choose

• you need open-weight LLM checkpoints with official inference and deployment guidance
• you want both instruct and reasoning (thinking) model variants
• you need multilingual models in sizes from 4B to 235B MoE

When to avoid

• you need a hosted API rather than self-hosted model weights
• you want a ready-made application rather than model weights and docs
• you require a permissive license - the repo lists no license

Facets

learning-resource · maturity active

llm-inference llm-training machine-learning large-language-models artificial-intelligence deep-learning python cross-platform open-weights model-family huggingface quantization multilingual reasoning-models gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="QwenLM/Qwen3")