Code Llama

The directory contains the 7b, 13b, and 34b models, including the Instruct and Python variants.

Path:	`/datasets/ai/codellama/`
URL:	https://huggingface.co/codellama/
Downloaded:	2023-09-19
Cite:	Rozière, B., Gehring, J., Gloeckle, F., Sootla, S., Gat, I., Tan, X. E., Adi, Y., Liu, J., Sauvestre, R., Remez, T., Rapin, J., Kozhevnikov, A., Evtimov, I., Bitton, J., Bhatt, M., Ferrer, C. C., Grattafiori, A., Xiong, W., Défossez, A., … Synnaeve, G. (2024). Code Llama: Open Foundation Models for Code.
Bibtex:	@misc{rozière2024code, title={Code Llama: Open Foundation Models for Code}, author={Baptiste Rozière and Jonas Gehring and Fabian Gloeckle and Sten Sootla and Itai Gat and Xiaoqing Ellen Tan and Yossi Adi and Jingyu Liu and Romain Sauvestre and Tal Remez and Jérémy Rapin and Artyom Kozhevnikov and Ivan Evtimov and Joanna Bitton and Manish Bhatt and Cristian Canton Ferrer and Aaron Grattafiori and Wenhan Xiong and Alexandre Défossez and Jade Copet and Faisal Azhar and Hugo Touvron and Louis Martin and Nicolas Usunier and Thomas Scialom and Gabriel Synnaeve}, year={2024}, eprint={2308.12950}, archivePrefix={arXiv}, primaryClass={cs.CL} }