Update README.md

README.md

@@ -6,7 +6,7 @@ datasets:
 
 ## Model Details
 
-This model is an int4 model with group_size 128 with quantized lm-head of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) generated by [intel/auto-round](https://github.com/intel/auto-round), auto-round is needed to run this model
+This model is an int4 model with group_size 128 of [Qwen/Qwen2.5-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-3B-Instruct) generated by [intel/auto-round](https://github.com/intel/auto-round), auto-round is needed to run this model
 
 ## How To Use
 
@@ -78,7 +78,7 @@ print(response)
 
 ### Evaluate the model 
 
-pip3 install lm-eval==0.4.2
+pip3 install lm-eval==0.4.4
 
 ```bash
 git clone https://github.com/intel/auto-round
@@ -87,7 +87,7 @@ python -m auto_round --model "Intel/Qwen2.5-3B-Instruct-int4-inc" --eval --eval_
 ```
 
 | Metric         | BF16   | INT4(group_size 128)   | INT4(group_size 32)   |
-|:--------------:| :----: | :----: |:------:|
+|:-------------- | :----: | :----: |:------:|
 | Avg            | 0.5902 | 0.5879 | 0.5837 |
 | mmlu           | 0.6546 | 0.6425 | 0.6454 |
 | cmmlu          | 0.7223 | 0.6998 | 0.7069 |