---
license: apache-2.0
datasets:
- argilla/ultrafeedback-binarized-preferences-cleaned
language:
- en
base_model:
- meta-llama/Llama-2-7b-hf
pipeline_tag: text-classification
---

This is the base reward model ("LLaMA-2 RM") used in the paper "[DogeRM: Equipping Reward Models with Domain Knowledge through Model Merging](https://arxiv.org/abs/2407.01470)".

The detailed training/evaluation information can be found at https://api.wandb.ai/links/merge_exp/g56s1tul.

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}
}
```