Update README.md

README.md

@@ -42,9 +42,9 @@ We use state-of-the-art [Language Model Evaluation Harness](https://github.com/E
 
 ### Training Dataset
 
-`garage-bAInd/Platypus2-70B` trained using STEM and logic based dataset [`garage-bAInd/Open-Platypus`](https://huggingface.co/datasets/garage-bAInd/Open-Platypus).
+`garage-bAInd/Platypus2-13B` trained using STEM and logic based dataset [`garage-bAInd/Open-Platypus`](https://huggingface.co/datasets/garage-bAInd/Open-Platypus).
 
-Please see our [paper](https://platypus-llm.github.io/Platypus.pdf) and [project webpage](https://platypus-llm.github.io) for additional information.
+Please see our [paper](https://arxiv.org/abs/2308.07317) and [project webpage](https://platypus-llm.github.io) for additional information.
 
 ### Training Procedure
 
@@ -63,7 +63,7 @@ cd lm-evaluation-harness
 # install
 pip install -e .
 ```
-Each task was evaluated on a single A100 80GB GPU.
+Each task was evaluated on 1 A100 80GB GPU.
 
 ARC:
 ```
@@ -91,21 +91,29 @@ Llama 2 and fine-tuned variants are a new technology that carries risks with use
 Please see the Responsible Use Guide available at https://ai.meta.com/llama/responsible-use-guide/
 
 ### Citations
-
+```bibtex
+@article{platypus2023,
+    title={Platypus: Quick, Cheap, and Powerful Refinement of LLMs}, 
+    author={Ariel N. Lee and Cole J. Hunter and Nataniel Ruiz},
+    booktitle={arXiv preprint arxiv:2308.07317},
+    year={2023}
+}
+```
 ```bibtex
 @misc{touvron2023llama,
     title={Llama 2: Open Foundation and Fine-Tuned Chat Models}, 
-    author={Hugo Touvron and Louis Martin and Kevin Stone and Peter Albert and Amjad Almahairi and Yasmine Babaei and Nikolay Bashlykov and Soumya Batra and Prajjwal Bhargava and Shruti Bhosale and Dan Bikel and Lukas Blecher and Cristian Canton Ferrer and Moya Chen and Guillem Cucurull and David Esiobu and Jude Fernandes and Jeremy Fu and Wenyin Fu and Brian Fuller and Cynthia Gao and Vedanuj Goswami and Naman Goyal and Anthony Hartshorn and Saghar Hosseini and Rui Hou and Hakan Inan and Marcin Kardas and Viktor Kerkez and Madian Khabsa and Isabel Kloumann and Artem Korenev and Punit Singh Koura and Marie-Anne Lachaux and Thibaut Lavril and Jenya Lee and Diana Liskovich and Yinghai Lu and Yuning Mao and Xavier Martinet and Todor Mihaylov and Pushkar Mishra and Igor Molybog and Yixin Nie and Andrew Poulton and Jeremy Reizenstein and Rashi Rungta and Kalyan Saladi and Alan Schelten and Ruan Silva and Eric Michael Smith and Ranjan Subramanian and Xiaoqing Ellen Tan and Binh Tang and Ross Taylor and Adina Williams and Jian Xiang Kuan and Puxin Xu and Zheng Yan and Iliyan Zarov and Yuchen Zhang and Angela Fan and Melanie Kambadur and Sharan Narang and Aurelien Rodriguez and Robert Stojnic and Sergey Edunov and Thomas Scialom},
-    year={2023},
+    author={Hugo Touvron and Louis Martin and Kevin Stone and Peter Albert and Amjad Almahairi and Yasmine Babaei and Nikolay Bashlykov       year={2023},
     eprint={2307.09288},
     archivePrefix={arXiv},
 }
 ```
 ```bibtex
-@article{hu2021lora,
-  title={LoRA: Low-Rank Adaptation of Large Language Models},
-  author={Hu, Edward J. and Shen, Yelong and Wallis, Phillip and Allen-Zhu, Zeyuan and Li, Yuanzhi and Wang, Shean and Chen, Weizhu},
-  journal={CoRR},
-  year={2021}
+@inproceedings{
+    hu2022lora,
+    title={Lo{RA}: Low-Rank Adaptation of Large Language Models},
+    author={Edward J Hu and Yelong Shen and Phillip Wallis and Zeyuan Allen-Zhu and Yuanzhi Li and Shean Wang and Lu Wang and Weizhu Chen},
+    booktitle={International Conference on Learning Representations},
+    year={2022},
+    url={https://openreview.net/forum?id=nZeVKeeFYf9}
 }
 ```