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OPTML-Group/NPO-SAM-WMDP
NPO-SAM-WMDP is a text generation model from OPTML-Group. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
- Unlearning: - Task: 🤗datasets/cais/wmdp wmdp-bio - Method: NPO - Smoothness Optimization: Sharpness-aware Minimization (SAM) - Origin Model: 🤗HuggingFaceH4/zephyr-7b-beta - Code Base: github.com/OPTML-Group/Unlear…
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From the Hugging Face model README
import torch
from transformers import AutoModelForCausalLM
model = AutoModelForCausalLM.from_pretrained("OPTML-Group/NPO-SAM-WMDP", torch_dtype=torch.bfloat16, trust_remote_code=True)
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 with the model: github.com/OPTML-Group/Unlearn-Smooth