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README.md

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+---
+library_name: transformers
+pipeline_tag: text-generation
+license: apache-2.0
+---
+
 # Introduction
 
 [OpenBMB Technical Blog Series](https://openbmb.vercel.app/)
 
-The MiniCPM-MoE-8x2B is a decoder-only transformer-based generative language model. 
+The MiniCPM-MoE-8x2B is a decoder-only transformer-based generative language model. For more details, please refer to our [github repo](https://github.com/OpenBMB/MiniCPM). Also check out the [project page](https://openbmb.vercel.app/?category=Chinese+Blog). The model is described in the paper [MiniCPM4: Ultra-Efficient LLMs on End Devices](https://huggingface.co/papers/2506.07900).
 
 The MiniCPM-MoE-8x2B adopt a Mixture-of-Experts(MoE) architecture, which has 8 experts per layer and activates 2 of 8 experts for each token.
 
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 1. As a language model, MiniCPM-MoE-8x2B generates content by learning from a vast amount of text.
 2. However, it does not possess the ability to comprehend or express personal opinions or value judgments.
 3. Any content generated by MiniCPM-MoE-8x2B does not represent the viewpoints or positions of the model developers.
-4. Therefore, when using content generated by MiniCPM-MoE-8x2B, users should take full responsibility for evaluating and verifying it on their own.
-
+4. Therefore, when using content generated by MiniCPM-MoE-8x2B, users should take full responsibility for evaluating and verifying it on their own.