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@@ -120,13 +120,13 @@ model_name = "IQuest/IQuest-Coder-V1-40B-Thinking"
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  For production deployment, you can use vLLM to create an OpenAI-compatible API endpoint. Please refer to the [vLLM PR](https://github.com/vllm-project/vllm/pull/31575/files) for implementation details.
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  ```bash
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- vllm serve IQuest/IQuest-Coder-V1-40B-Instruct --tensor-parallel-size 8
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  ```
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  For Thinking models with reasoning support:
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  ```bash
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- vllm serve IQuest/IQuest-Coder-V1-40B-Thinking --reasoning-parser qwen3 --tensor-parallel-size 8
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  ```
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  For production deployment, you can use vLLM to create an OpenAI-compatible API endpoint. Please refer to the [vLLM PR](https://github.com/vllm-project/vllm/pull/31575/files) for implementation details.
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  ```bash
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+ vllm serve IQuestLab/IQuest-Coder-V1-40B-Instruct --tensor-parallel-size 8
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  ```
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  For Thinking models with reasoning support:
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  ```bash
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+ vllm serve IQuestLab/IQuest-Coder-V1-40B-Thinking --reasoning-parser qwen3 --tensor-parallel-size 8
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  ```
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