Update README.md

README.md

@@ -15,28 +15,7 @@ This model is an int4 model with group_size 128 of [microsoft/phi-2](https://hug
 
 ## How To Use
 
-### 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  microsoft/phi-2 \
---device 0 \
---group_size 128 \
---bits 4 \
---iters 1000 \
---enable_minmax_tuning \
---deployment_device 'gpu' \
---scale_dtype 'fp32' \
---eval_bs 32 \
---output_dir "./tmp_autoround" \
---amp 
 
-```
 
 
 
@@ -84,6 +63,28 @@ Since we encountered an issue evaluating this model with lm-eval, we opted to ev
 | arc_challenge  | 0.5290 | 0.5196 |
 
 
+### 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  microsoft/phi-2 \
+--device 0 \
+--group_size 128 \
+--bits 4 \
+--iters 1000 \
+--enable_minmax_tuning \
+--deployment_device 'gpu' \
+--scale_dtype 'fp32' \
+--eval_bs 32 \
+--output_dir "./tmp_autoround" \
+--amp 
+
+```
 
 ## Ethical Considerations and Limitations
 
@@ -102,4 +103,16 @@ Here are a couple of useful links to learn more about Intel's AI software:
 
 ## Disclaimer
 
-The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please consult an attorney before using this model for commercial purposes.
+The license on this model does not constitute legal advice. We are not responsible for the actions of third parties who use this model. Please consult an attorney before using this model for commercial purposes.
+
+
+## Cite
+
+@article{cheng2023optimize,
+  title={Optimize weight rounding via signed gradient descent for the quantization of llms},
+  author={Cheng, Wenhua and Zhang, Weiwei and Shen, Haihao and Cai, Yiyang and He, Xin and Lv, Kaokao},
+  journal={arXiv preprint arXiv:2309.05516},
+  year={2023}
+}
+
+[arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)