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README.md
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@@ -218,6 +218,10 @@ We recommend using [vLLM](https://github.com/vllm-project/vllm) to serve MiniMax
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We recommend using [Transformers](https://github.com/huggingface/transformers) to serve MiniMax-M2.5. Please refer to our [Transformers Deployment Guide](./docs/transformers_deploy_guide.md).
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### Inference Parameters
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We recommend using the following parameters for best performance: `temperature=1.0`, `top_p = 0.95`, `top_k = 40`. Default system prompt:
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We recommend using [Transformers](https://github.com/huggingface/transformers) to serve MiniMax-M2.5. Please refer to our [Transformers Deployment Guide](./docs/transformers_deploy_guide.md).
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### KTransformers
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We recommend using [KTransformers](https://github.com/kvcache-ai/ktransformers) to serve MiniMax-M2.5. Please refer to [KTransformers Deployment Guide](https://github.com/kvcache-ai/ktransformers/blob/main/doc/en/MiniMax-M2.5.md)
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### Inference Parameters
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We recommend using the following parameters for best performance: `temperature=1.0`, `top_p = 0.95`, `top_k = 40`. Default system prompt:
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