Update README.md

README.md

@@ -43,6 +43,8 @@ InternLM has open-sourced a 7 billion parameter base model and a chat model tail
 - It supports an 8k context window length, enabling longer input sequences and stronger reasoning capabilities.
 - It provides a versatile toolset for users to flexibly build their own workflows.
 
+##### 沙发打水地方擦撒大声地
+##### 未收到卡我弄到
 We conducted a comprehensive evaluation of InternLM using the open-source evaluation tool [OpenCompass](https://github.com/internLM/OpenCompass/). The evaluation covered five dimensions of capabilities: disciplinary competence, language competence, knowledge competence, inference competence, and comprehension competence. Here are some of the evaluation results, and you can visit the [OpenCompass leaderboard](https://opencompass.org.cn/rank) for more evaluation results.
 
 | Datasets\Models           |  **InternLM-Chat-7B** |  **InternLM-7B**  |  LLaMA-7B | Baichuan-7B | ChatGLM2-6B | Alpaca-7B | Vicuna-7B |