Update README.md

README.md

@@ -32,7 +32,7 @@ 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.
 
-## InternLM-7B
+## InternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7BInternLM-7B
 ### Performance Evaluation
 #### Introduction
 ##### Introduction
@@ -93,6 +93,7 @@ model = model.eval()
 response, history = model.chat(tokenizer, "hello", history=[])
 print(response)
 response, history = model.chat(tokenizer, "please provide three suggestions about time management", history=history)
+
 print(response)
 ```