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README.md
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For deployment, you can use `sglang>=0.4.6.post1` or `vllm>=0.8.4` or to create an OpenAI-compatible API endpoint:
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- SGLang:
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```shell
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python -m sglang.launch_server --model-path Qwen/Qwen3-
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```
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- vLLM:
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```shell
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vllm serve Qwen/Qwen3-
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```
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For local use, applications such as llama.cpp, Ollama, LMStudio, and MLX-LM have also supported Qwen3.
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For deployment, you can use `sglang>=0.4.6.post1` or `vllm>=0.8.4` or to create an OpenAI-compatible API endpoint:
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- SGLang:
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```shell
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python -m sglang.launch_server --model-path Qwen/Qwen3-8B --reasoning-parser qwen3
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```
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- vLLM:
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```shell
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vllm serve Qwen/Qwen3-8B --enable-reasoning --reasoning-parser deepseek_r1
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```
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For local use, applications such as llama.cpp, Ollama, LMStudio, and MLX-LM have also supported Qwen3.
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