Update README.md

README.md

@@ -62,5 +62,20 @@ model = AutoGPTQForCausalLM.from_quantized(
 outputs = model.generate(**inputs, do_sample=True, max_new_tokens=1024)
 print(tokenizer.batch_decode(outputs, skip_special_tokens=True))
 ```
+
+# Citation
+
+If you found this model useful, please cite our research paper.
+
+```
+@article{zhang2024leanquant,
+  title={LeanQuant: Accurate and Scalable Large Language Model Quantization with Loss-error-aware Grid},
+  author={Zhang, Tianyi and Shrivastava, Anshumali},
+  journal={arXiv preprint arXiv:2407.10032},
+  year={2024},
+  url={https://arxiv.org/abs/2407.10032},
+}
+```
+
 # Contact Us
 For additional xMADified models, access to fine-tuning, and general questions, please contact us at [email protected] and join our waiting list.