add model overview graph

README.md

@@ -76,6 +76,12 @@
 
 Facebook官方发布的[LLaMA模型禁止商用](https://github.com/facebookresearch/llama)，并且官方没有正式开源模型权重（虽然网上已经有很多第三方的下载地址）。为了遵循相应的许可，**这里发布的是LoRA权重**，可以理解为原LLaMA模型上的一个“补丁”，两者合并即可获得完整版权重。以下中文LLaMA/Alpaca LoRA模型无法单独使用，需要搭配[原版LLaMA模型](https://github.com/facebookresearch/llama)。请参考本项目给出的[合并模型](#合并模型)步骤重构模型。
 
+### 模型列表
+
+下图展示了本项目以及[二期项目](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2)推出的所有大模型之间的关系。
+
+![](./pics/models.png)
+
 ### 模型选择指引
 
 下面是中文LLaMA和Alpaca模型的基本对比以及建议使用场景（包括但不限于），更多内容见[训练细节](#训练细节)。

README_EN.md

@@ -74,6 +74,12 @@ To promote open research of large models in the Chinese NLP community, this proj
 
 The official [LLaMA models released by Facebook prohibit commercial use](https://github.com/facebookresearch/llama), and the official model weights have not been open-sourced (although there are many third-party download links available online). In order to comply with the relevant licenses, it is currently not possible to release the complete model weights. We appreciate your understanding. After Facebook fully opens up the model weights, this project will update its policies accordingly. **What is released here are the LoRA weights**, which can be seen as a "patch" for the original LLaMA model, and the complete weights can be obtained by merging the two.
 
+### Model Overview
+
+The following figure depicts all open-sourced models for our projects (including the [second-gen project](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2)).
+
+![](./pics/models.png)
+
 ### Which model should I use?
 
 The following table provides a basic comparison of the Chinese LLaMA and Alpaca models, as well as recommended usage scenarios (including, but not limited to).