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update readme

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@@ -22,6 +22,7 @@ print(responds)
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  # Note
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  1. You can alse inference with [vLLM](https://github.com/vllm-project/vllm), which will be compatible with this repo and has a much higher inference throughput.
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  2. The precision of model weights in this repo is bfloat16. Manual convertion is needed for other kinds of dtype.
 
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  # Statement
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  1. As a language model, MiniCPM-MoE-8x2B generates content by learning from a vast amount of text.
 
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  # Note
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  1. You can alse inference with [vLLM](https://github.com/vllm-project/vllm), which will be compatible with this repo and has a much higher inference throughput.
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  2. The precision of model weights in this repo is bfloat16. Manual convertion is needed for other kinds of dtype.
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+ 3. For more details, please refer to our [github repo](https://github.com/OpenBMB/MiniCPM).
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  # Statement
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  1. As a language model, MiniCPM-MoE-8x2B generates content by learning from a vast amount of text.