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

Model Details

• Unlearning:
  • Task: 🤗datasets/cais/wmdp wmdp-bio
  • Method: NPO
  • Smoothness Optimization: Curvature Regularization (CR)
• 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

import torch
from transformers import AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("OPTML-Group/NPO-CR-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

Base model