RichardErkhov/miulab_-_llama2-7b-alpaca-sft-10k-8bits

Quantization made by Richard Erkhov.

llama2-7b-alpaca-sft-10k - bnb 8bits

Model creator: https://huggingface.co/miulab/
Original model: https://huggingface.co/miulab/llama2-7b-alpaca-sft-10k/

Original model description:

license: apache-2.0 language: - en base_model: - meta-llama/Llama-2-7b-hf datasets: - tatsu-lab/alpaca_farm pipeline_tag: text-generation

This is the backbone SFT model used in the paper "DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging".

The detailed training/evaluation information can be found at https://api.wandb.ai/links/merge_exp/2qs92v6f.

For the detailed information about this model, please refer to our paper.

If you found this model useful, please cite our paper:

@article{lin2024dogerm,
  title={DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging},
  author={Lin, Tzu-Han and Li, Chen-An and Lee, Hung-yi and Chen, Yun-Nung},
  journal={arXiv preprint arXiv:2407.01470},
  year={2024}
}