license, language, base_model, pipeline_tag, library_name, tags, datasets

license	language	base_model	pipeline_tag	library_name	tags	datasets
mit	en	muse-bench/MUSE-news_target	text-generation	transformers	unlearn machine-unlearning llm-unlearning data-privacy large-language-models trustworthy-ai trustworthy-machine-learning language-model	muse-bench/MUSE-News

NPO-Unlearned w/ SAM Model on Task "MUSE NEWS"

Model Details

• Unlearning:
  • Task: 🤗datasets/muse-bench/MUSE-News
  • Method: NPO
  • Smoothness Optimization: Sharpness-aware Minimization (SAM)
• Origin Model: 🤗muse-bench/MUSE-news_target
• 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-MUSE-NEWS", 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