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

license	datasets	language	base_model	pipeline_tag	library_name	tags
mit	locuslab/TOFU	en	NousResearch/Llama-2-7b-chat-hf	text-generation	transformers	unlearn machine-unlearning llm-unlearning data-privacy large-language-models trustworthy-ai trustworthy-machine-learning language-model

Origin Model on Task "TOFU"

Model Details

• Training:
  • Task: 🤗datasets/locuslab/TOFU
  • Method: Fine tune
• Base Model: 🤗NousResearch/Llama-2-7b-chat-hf
• Code Base: github.com/OPTML-Group/Unlearn-Simple
• Research Paper:
  • "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"
  • "TOFU: A Task of Fictitious Unlearning for LLMs"

Loading the Model

import torch
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("OPTML-Group/TOFU-origin-Llama-2-7b-chat", use_flash_attention_2=True, torch_dtype=torch.bfloat16, trust_remote_code=True)

Citation

If you use this model in your research, please cite:

@article{fan2024simplicity,
  title={Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning},
  author={Fan, Chongyu and Liu, Jiancheng and Lin, Licong and Jia, Jinghan and Zhang, Ruiqi and Mei, Song and Liu, Sijia},
  journal={arXiv preprint arXiv:2410.07163},
  year={2024}
}

Reporting Issues

Reporting issues with the model: github.com/OPTML-Group/Unlearn-Simple