Update README.md

README.md

@@ -83,8 +83,8 @@ pip3 install lm-eval==0.4.2
 
 ```bash
 git clone https://github.com/intel/auto-round
-cd auto-round/examples/language-modeling
-python3 eval_042/evluation.py --model_name "Intel/Qwen2.5-0.5B-Instruct-int4-inc" --eval_bs 16  --tasks lambada_openai,hellaswag,piqa,winogrande,truthfulqa_mc1,truthfulqa_mc2,openbookqa,boolq,arc_easy,arc_challenge,mmlu,gsm8k,cmmlu,ceval-valid
+pip install -vvv --no-build-isolation -e .
+auto-round --model "Intel/Qwen2.5-0.5B-Instruct-int4-inc" --eval --eval_bs 16  --tasks lambada_openai,hellaswag,piqa,winogrande,truthfulqa_mc1,truthfulqa_mc2,openbookqa,boolq,arc_easy,arc_challenge,mmlu,gsm8k,cmmlu,ceval-valid
 ```
 
 | Metric         | BF16   | INT4(group_size 128)   | INT4(group_size 32)   |
@@ -116,7 +116,7 @@ Here is the sample command to reproduce the model. We observed a larger accuracy
 ```bash
 git clone https://github.com/intel/auto-round
 pip install -vvv --no-build-isolation -e .
-auto_round \
+auto-round \
 --model_name  Qwen/Qwen2.5-0.5B-Instruct \
 --device 0 \
 --group_size 128 \