QwenLM/Qwen3-Coder resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

16810 stars · 1245 forks observed · 2026-08-28

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

Qwen3-Coder is a family of open-weight large language models specialized for coding and agentic coding tasks, including the 480B-A35B, 30B-A3B, and hybrid-attention MoE Qwen3-Coder-Next 80B variants. The repository provides model weights, quick-start inference examples, fill-in-the-middle support, and demos for building coding agents and local development workflows.

Use cases

• run a local coding assistant LLM
• build an agentic coding tool that edits repos
• autocomplete code with fill-in-the-middle
• generate full websites from prompts
• fine-tune or evaluate a code LLM
• self-host an open-weight code model

When to choose

• you need an open-weight code LLM you can self-host
• you want strong agentic coding performance without closed APIs
• you need a small MoE model for local development

When to avoid

• you need a hosted API with SLA rather than model weights
• you lack GPU resources for large model inference
• you need a general-purpose chat model rather than a code specialist

Facets

learning-resource · maturity active

llm-inference llm-training agent-framework code-review large-language-models artificial-intelligence developer-tools python self-hosted cross-platform code-generation open-weights agentic-coding moe fill-in-the-middle huggingface coding-agent ai-agents gpu

Member repositories

For agents

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