Update README.md

README.md

@@ -1,10 +1,12 @@
 ---
 datasets:
 - NeelNanda/pile-10k
+base_model:
+- Qwen/Qwen2.5-3B-Instruct
 ---
 ## Model Details
 
-This model is an int4 model with group_size 128 and symmetric quantization 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). Load the model with `revision="f636d1"` to use AutoGPTQ format
+This model is an int4 model with group_size 128 and symmetric quantization 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). Load the model with `revision="f636d1"` to use AutoGPTQ format. Please follow the license of the origin model
 
 ## How To Use
 
@@ -172,4 +174,4 @@ The license on this model does not constitute legal advice. We are not responsib
 
 @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 and Liu, Yi}, journal={arXiv preprint arXiv:2309.05516}, year={2023} }
 
-[arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)
+[arxiv](https://arxiv.org/abs/2309.05516) [github](https://github.com/intel/auto-round)