ymcui
diff --git a/Collapse file
‎README.md‎
Copy file name to clipboardExpand all lines: README.md
+2Lines changed: 2 additions & 0 deletions
Display the source diff
Display the rich diff b/Collapse file
‎README.md‎
Copy file name to clipboardExpand all lines: README.md
+2Lines changed: 2 additions & 0 deletions
Display the source diff
Display the rich diff
diff --git a/Collapse file
‎README_EN.md‎
Copy file name to clipboardExpand all lines: README_EN.md
+2Lines changed: 2 additions & 0 deletions
Display the source diff
Display the rich diff b/Collapse file
‎README_EN.md‎
Copy file name to clipboardExpand all lines: README_EN.md
+2Lines changed: 2 additions & 0 deletions
Display the source diff
Display the rich diff
@@ -304,6 +304,8 @@
 问题9：如何解读第三方公开榜单的结果？
 问题10：会出34B或者70B级别的模型吗？
 问题11：为什么长上下文版模型是16K，不是32K或者100K？
+问题12：为什么Alpaca模型会回复说自己是ChatGPT？
+问题13：为什么pt_lora_mdoel或者sft_lora_model下的adapter_model.bin只有几百k？
 ```
 
 
 
@@ -287,6 +287,8 @@ Question 8: Can the 16K long-context version model replace the standard version
 Question 9: How to interprete the results of third-party benchmarks?
 Question 10: Will you release 34B or 70B models?
 Question 11: Why the long-context model is 16K context, not 32K or 100K?
+Question 12: Why does the Alpaca model reply that it is ChatGPT?
+Question 13: Why is the adapter_model.bin in the pt_lora_mdoel or sft_lora_model folder only a few hundred kb?
 ```
 
 For specific questions and answers, please refer to the project >>> [📚 GitHub Wiki](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/wiki/faq_en)