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--- |
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license: mit |
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datasets: |
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- cais/wmdp |
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language: |
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- en |
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base_model: |
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- HuggingFaceH4/zephyr-7b-beta |
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pipeline_tag: text-generation |
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library_name: transformers |
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tags: |
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- unlearn |
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- machine-unlearning |
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- llm-unlearning |
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- data-privacy |
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- large-language-models |
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- trustworthy-ai |
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- trustworthy-machine-learning |
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- language-model |
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--- |
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# NPO-Unlearned w/ GP Model on Task "WMDP" |
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## Model Details |
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- **Unlearning**: |
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- **Task**: [🤗datasets/cais/wmdp wmdp-bio](https://huggingface.co/datasets/cais/wmdp) |
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- **Method**: NPO |
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- **Smoothness Optimization**: Gradient Penalty (GP) |
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- **Origin Model**: [🤗HuggingFaceH4/zephyr-7b-beta](https://huggingface.co/HuggingFaceH4/zephyr-7b-beta) |
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- **Code Base**: [github.com/OPTML-Group/Unlearn-Smooth](https://github.com/OPTML-Group/Unlearn-Smooth) |
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- **Research Paper**: ["Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond"](https://arxiv.org/abs/2502.05374) |
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## Loading the Model |
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```python |
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import torch |
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from transformers import AutoModelForCausalLM |
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model = AutoModelForCausalLM.from_pretrained("OPTML-Group/NPO-GP-WMDP", torch_dtype=torch.bfloat16, trust_remote_code=True) |
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``` |
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## Citation |
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If you use this model in your research, please cite: |
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``` |
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@article{fan2025towards, |
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title={Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond}, |
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author={Fan, Chongyu and Jia, Jinghan and Zhang, Yihua and Ramakrishna, Anil and Hong, Mingyi and Liu, Sijia}, |
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journal={arXiv preprint arXiv:2502.05374}, |
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year={2025} |
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} |
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``` |
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## Reporting Issues |
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Reporting issues with the model: [github.com/OPTML-Group/Unlearn-Smooth](https://github.com/OPTML-Group/Unlearn-Smooth) |
