58 lines
1.7 KiB
Markdown
58 lines
1.7 KiB
Markdown
|
---
|
||
|
|
license: mit
|
||
|
|
datasets:
|
||
|
|
- locuslab/TOFU
|
||
|
|
language:
|
||
|
|
- en
|
||
|
|
base_model:
|
||
|
|
- NousResearch/Llama-2-7b-chat-hf
|
||
|
|
pipeline_tag: text-generation
|
||
|
|
library_name: transformers
|
||
|
|
tags:
|
||
|
|
- 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](https://huggingface.co/datasets/locuslab/TOFU)
|
||
|
|
- **Method**: Fine tune
|
||
|
|
- **Base Model**: [🤗NousResearch/Llama-2-7b-chat-hf](https://huggingface.co/NousResearch/Llama-2-7b-chat-hf)
|
||
|
|
- **Code Base**: [github.com/OPTML-Group/Unlearn-Simple](https://github.com/OPTML-Group/Unlearn-Simple)
|
||
|
|
- **Research Paper**:
|
||
|
|
- ["Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"](https://arxiv.org/abs/2410.07163)
|
||
|
|
- ["TOFU: A Task of Fictitious Unlearning for LLMs"](https://arxiv.org/abs/2401.06121)
|
||
|
|
|
||
|
|
|
||
|
|
## Loading the Model
|
||
|
|
|
||
|
|
```python
|
||
|
|
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](https://github.com/OPTML-Group/Unlearn-Simple)
|