update README

README.md

@@ -151,9 +151,12 @@ cd ./llama-recipes/recipes/evaluation/
 from lm_eval.evaluator import make_table
 # 修改eval.py第121行代码，num_fewshot参数的默认值改为0
 default=0
+# 修改eval.py第215行代码，use_cache=args.use_cache 修改为
+no_cache=args.use_cache
 
 # 返回根目录
 cd ~
+
 # lm-eval 下载
 git clone http://developer.hpccube.com/codes/chenych/lm-evaluation-harness.git
 cd ./lm-evaluation-harness/
@@ -163,7 +166,7 @@ cd ../
 
 2. 修改待测模型**pretrained**参数地址，例如 `/home/Meta-Llama-3-8B-Instruct`，特别地，当前仅支持`hellaswag`数据集进行测试验证。执行以下命令:
 ```bash
-cd /path/of/llama-recipes/recipes/evaluation
+cd /path_of/llama-recipes/recipes/evaluation
 python eval.py --model hf --model_args pretrained=/home/llama3/Meta-Llama-3-8B-Instruct,dtype="float" --tasks hellaswag --device cuda --batch_size 8
 ```
 <div align=center>
@@ -271,3 +274,4 @@ huggingface-cli download meta-llama/Meta-Llama-3-70B-Instruct --include "origina
 - https://github.com/meta-llama/llama3
 - https://github.com/InternLM/xtuner
 - https://github.com/SmartFlowAI/EmoLLM
+- https://github.com/meta-llama/llama-recipes