Alibaba's open-weight Qwen3 language models, dense and mixture-of-experts, from 0.6B to 235B-A22B.
Apache 2.0 weights you download and serve yourself, with 256K-token context in the 2507 releases.
This repository documents Qwen3, the open-weight language model family from the Qwen team. It suits developers and researchers who want to run capable models on their own hardware.
The README lists dense models at 0.6B, 1.7B, 4B, 8B, 14B and 32B plus mixture-of-experts 30B-A3B and 235B-A22B. The 2507 updates add Instruct and Thinking variants with 256K-token context, extendable to 1 million tokens. Docs cover llama.cpp, Ollama, LM Studio, vLLM, SGLang and TGI.
It suits teams that can supply GPUs or a capable machine and want no per-token bill. It does not suit anyone expecting a one-click app: you download weights from Hugging Face or ModelScope and pick a serving stack.
Models from 0.6B up to 235B-A22B.
Updated variants in 235B-A22B, 30B-A3B and 4B.
256K-token context, extendable to 1 million tokens.
Docs for llama.cpp, Ollama and LM Studio.
Docs for SGLang, vLLM and TGI.
GPTQ, AWQ and GGUF guidance.
The weights are free under Apache 2.0. Alibaba also sells hosted Qwen access separately; the repo shows no price, so your cost is the hardware you run it on.
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The README says all open-weight models are licensed under Apache 2.0; check the licence file in each Hugging Face repo.
0.6B, 1.7B, 4B, 8B, 14B, 32B, 30B-A3B and 235B-A22B.
Yes, the docs cover llama.cpp, Ollama and LM Studio.
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