OpenLLaMA-3B-Chat: Chat Model on top of Open Reproduction of LLaMA

Training Traces

Prompt Format

<human>: Who is Alan Turing?<|endoftext|><assistant>:

Reference

If you found OpenLLaMA useful in your research or applications, please cite using the following BibTeX:

@software{Yao_FMEngine_Library_for_2023,
  author = {Yao, Xiaozhe},
  doi = {10.5281/zenodo.8314779},
  month = sep,
  title = {{FMEngine: Library for Training Foundation Models}},
  url = {https://github.com/eth-easl/fmengine},
  version = {0.0.1},
  year = {2023}
}
@software{openlm2023openllama,
  author = {Geng, Xinyang and Liu, Hao},
  title = {OpenLLaMA: An Open Reproduction of LLaMA},
  month = May,
  year = 2023,
  url = {https://github.com/openlm-research/open_llama}
}
@software{together2023redpajama,
  author = {Together Computer},
  title = {RedPajama-Data: An Open Source Recipe to Reproduce LLaMA training dataset},
  month = April,
  year = 2023,
  url = {https://github.com/togethercomputer/RedPajama-Data}
}
@article{touvron2023llama,
  title={Llama: Open and efficient foundation language models},
  author={Touvron, Hugo and Lavril, Thibaut and Izacard, Gautier and Martinet, Xavier and Lachaux, Marie-Anne and Lacroix, Timoth{\'e}e and Rozi{\`e}re, Baptiste and Goyal, Naman and Hambro, Eric and Azhar, Faisal and others},
  journal={arXiv preprint arXiv:2302.13971},
  year={2023}
}

Limitations and Bias

As with all language models, openllama-3b-chat may generate incorrect or biased content. It's important to keep this in mind when using the model.