DogeRM
Collection
Models trained/used in the paper "DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging ( https://arxiv.org/abs/2407.01470)
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8 items
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Updated
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}
}
Base model
meta-llama/Llama-2-7b-hf