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@@ -56,7 +56,10 @@ library_name: transformers
<a href="https://huggingface.co/MiniMaxAI" target="_blank" style="margin: 2px;">
🤗 Hugging Face
</a> |
<a href="https://github.com/MiniMax-AI/MiniMax-M2.1" target="_blank" style="margin: 2px;">
<a href="https://huggingface.co/inference/models?model=MiniMaxAI%2FMiniMax-M2.5" target="_blank" style="margin: 2px;">
🚀 Hugging Face API
</a> |
<a href="https://github.com/MiniMax-AI/MiniMax-M2.5" target="_blank" style="margin: 2px;">
🐙 GitHub
</a> |
<a href="https://www.modelscope.cn/organization/MiniMax" target="_blank" style="margin: 2px;">
@@ -222,6 +225,10 @@ We recommend using [Transformers](https://github.com/huggingface/transformers) t
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)
### ModelScope
You also can get model weights from [modelscope](https://modelscope.cn/models/MiniMax/MiniMax-M2.5).
### Inference Parameters
We recommend using the following parameters for best performance: `temperature=1.0`, `top_p = 0.95`, `top_k = 40`. Default system prompt: