NPO-Unlearned w/ GP Model on Task "WMDP"

Model Details

Unlearning:
- Task: 🤗datasets/cais/wmdp wmdp-bio
- Method: NPO
- Smoothness Optimization: Gradient Penalty (GP)
Origin Model: 🤗HuggingFaceH4/zephyr-7b-beta
Code Base: github.com/OPTML-Group/Unlearn-Smooth
Research Paper: "Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond"

Loading the Model

python

import torch
from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("OPTML-Group/NPO-GP-WMDP", torch_dtype=torch.bfloat16, trust_remote_code=True)

Citation

If you use this model in your research, please cite:

@article{fan2025towards,
  title={Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond},
  author={Fan, Chongyu and Jia, Jinghan and Zhang, Yihua and Ramakrishna, Anil and Hong, Mingyi and Liu, Sijia},
  journal={arXiv preprint arXiv:2502.05374},
  year={2025}
}

Reporting Issues

Reporting issues with the model: github.com/OPTML-Group/Unlearn-Smooth