Update README.md

README.md

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 baichuan-7B是由百川智能开发的一个开源的大规模预训练模型。基于Transformer结构，在大约1.2万亿tokens上训练的70亿参数模型，支持中英双语，上下文窗口长度为4096。在标准的中文和英文权威benchmark（C-EVAL/MMLU）上均取得同尺寸最好的效果。
 
-如果希望使用baichuan-7B（如进行推理、Finetune等），我们推荐使用配套代码库[baichuan-7B](https://github.com/baichuan-inc/baichuan-7B)。
+如果希望使用baichuan-7B（如进行推理、Finetune等），我们推荐使用配套代码库[baichuan-7B](https://
+.com/baichuan-inc/baichuan-7B)。
 
 baichuan-7B is an open-source large-scale pre-trained model developed by Baichuan Intelligent Technology. Based on the Transformer architecture, it is a model with 7 billion parameters trained on approximately 1.2 trillion tokens. It supports both Chinese and English, with a context window length of 4096. It achieves the best performance of its size on standard Chinese and English authoritative benchmarks (C-EVAL/MMLU).
 
@@ -223,3 +224,6 @@ The superscript in the Model column indicates the source of the results.
 1:https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
 2:https://paperswithcode.com/sota/multi-task-language-understanding-on-mmlu
 ```
+
+## Our Group
+[WeChat](https://huggingface.co/baichuan-inc/baichuan-7B/blob/main/wechat.jpeg)