NPO-Unlearned w/ SAM Model on Task "WMDP"
Model Details
- Unlearning:
- Task: 🤗datasets/cais/wmdp wmdp-bio
- Method: NPO
- Smoothness Optimization: Sharpness-aware Minimization (SAM)
- Origin Model: 🤗meta-llama/Meta-Llama-3-8B-Instruct
- 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-SAM-LLAMA3-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
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