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Update README.md & README_EN.md to fix words to correctly: pt_lora_model #297

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2 changes: 1 addition & 1 deletion README.md
Original file line number Diff line number Diff line change
Expand Up @@ -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?
```


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2 changes: 1 addition & 1 deletion README_EN.md
Original file line number Diff line number Diff line change
Expand Up @@ -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)
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