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    | @@ -194,7 +194,7 @@ For production deployment, we recommend using [vLLM](https://docs.vllm.ai/en/lat | |
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            - 📦 Powerful batch request processing capability
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            - ⚙️ Deeply optimized underlying performance
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            For detailed vLLM deployment instructions, please refer to our [vLLM Deployment Guide](./docs/vllm_deployment_guide.md).
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            Alternatively, you can also deploy using Transformers directly. For detailed Transformers deployment instructions, you can see our [MiniMax-M1 Transformers Deployment Guide](./docs/transformers_deployment_guide.md).
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            - 📦 Powerful batch request processing capability
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            - ⚙️ Deeply optimized underlying performance
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            For detailed vLLM deployment instructions, please refer to our [vLLM Deployment Guide](./docs/vllm_deployment_guide.md). Special Note: Using vLLM versions below 0.9.2 may result in incompatibility or incorrect precision for the model.
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            Alternatively, you can also deploy using Transformers directly. For detailed Transformers deployment instructions, you can see our [MiniMax-M1 Transformers Deployment Guide](./docs/transformers_deployment_guide.md).
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