Update README.md

README.md

@@ -29,8 +29,8 @@ OpenBezoar-SFT is built upon the Open Llama 3B v2 architecture and has been fine
 
 ### Model Sources
 
-- **Repository:** [More Information Needed]
-- **Paper :** [More Information Needed]
+- **Repository:** [Bitbucket Project](https://bitbucket.org/paladinanalytics/workspace/projects/OP)
+- **Paper :** [Pre-Print](https://arxiv.org/abs/2404.12195)
 
 ## Instruction Format
 
@@ -93,7 +93,14 @@ Refer to our self-reported evaluations in our paper (Section 4).
 ## Citation
 If you find our work useful, please cite our paper as follows:
 ```
-[More Information Needed]
+@misc{dissanayake2024openbezoar,
+      title={OpenBezoar: Small, Cost-Effective and Open Models Trained on Mixes of Instruction Data}, 
+      author={Chandeepa Dissanayake and Lahiru Lowe and Sachith Gunasekara and Yasiru Ratnayake},
+      year={2024},
+      eprint={2404.12195},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
 ```
 
 ## Model Authors