Update README.md

README.md

@@ -17,6 +17,29 @@ Inference of this model is compatible with AutoGPTQ's Kernel.
 
 
 
+### Reproduce the model
+
+Here is the sample command to reproduce the model
+
+```bash
+git clone https://github.com/intel/auto-round
+cd auto-round/examples/language-modeling
+pip install -r requirements.txt
+python3 main.py \
+--model_name  bigscience/bloom-7b1 \
+--device 0 \
+--group_size 128 \
+--bits 4 \
+--iters 1000 \
+--deployment_device 'gpu' \
+--output_dir "./tmp_autoround" \
+
+```
+
+
+
+
+
 
 ### Evaluate the model 
 
@@ -44,29 +67,6 @@ lm_eval --model hf --model_args pretrained="Intel/bloom-7b1-int4-inc",autogptq=T
 
 
 
-### Reproduce the model
-
-Here is the sample command to reproduce the model
-
-```bash
-git clone https://github.com/intel/auto-round
-cd auto-round/examples/language-modeling
-pip install -r requirements.txt
-python3 main.py \
---model_name  bigscience/bloom-7b1 \
---device 0 \
---group_size 128 \
---bits 4 \
---iters 1000 \
---deployment_device 'gpu' \
---output_dir "./tmp_autoround" \
-
-```
-
-
-
-
-
 ## Caveats and Recommendations
 
 Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model.