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@@ -83,11 +83,11 @@ print("content:", content)
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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/Qwen3-32B --reasoning-parser qwen3
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  ```
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  - vLLM:
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  ```shell
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- vllm serve Qwen/Qwen3-32B --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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  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/Qwen3-14B --reasoning-parser qwen3
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  ```
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  - vLLM:
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  ```shell
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+ vllm serve Qwen/Qwen3-14B --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.