| | --- |
| | library_name: transformers |
| | license: apache-2.0 |
| | datasets: |
| | - ise-uiuc/Magicoder-OSS-Instruct-75K |
| | language: |
| | - en |
| | base_model: |
| | - meta-llama/Llama-2-7b-hf |
| | pipeline_tag: text-generation |
| | --- |
| | |
| | This is the backbone of our "the Code model" 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/jhdkzbi2. |
| | |
| | For more details 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} |
| | } |
| | ``` |
