diff --git a/README.md b/README.md
index 890756d..fe3c9a3 100644
--- a/README.md
+++ b/README.md
@@ -305,7 +305,7 @@
 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？
+问题13：为什么pt_lora_model或者sft_lora_model下的adapter_model.bin只有几百k？
 ```
 
 
diff --git a/README_EN.md b/README_EN.md
index 89ab6db..ad991ff 100644
--- a/README_EN.md
+++ b/README_EN.md
@@ -288,7 +288,7 @@ 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?
+Question 13: Why is the adapter_model.bin in the pt_lora_model 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)