Quantization made by Richard Erkhov.
This is the SFT model for Salesforce/SFR-Iterative-DPO-LLaMA-3-8B-R.
Please cite our techical report if you find our model is useful for your research or product.
1@misc{dong2024rlhf,
2 title={RLHF Workflow: From Reward Modeling to Online RLHF},
3 author={Hanze Dong and Wei Xiong and Bo Pang and Haoxiang Wang and Han Zhao and Yingbo Zhou and Nan Jiang and Doyen Sahoo and Caiming Xiong and Tong Zhang},
4 year={2024},
5 eprint={2405.07863},
6 archivePrefix={arXiv},
7 primaryClass={cs.LG}
8}
This release is for research purposes only in support of an academic
paper. Our models, datasets, and code are not specifically designed or
evaluated for all downstream purposes. We strongly recommend users
evaluate and address potential concerns related to accuracy, safety, and
fairness before deploying this model. We encourage users to consider the
common limitations of AI, comply with applicable laws, and leverage best
practices when selecting use cases, particularly for high-risk scenarios
where errors or misuse could significantly impact people’s lives, rights,
or safety. For further guidance on use cases, refer to our standard
AUP
and
AI AUP.
