初始化项目，由ModelHub XC社区提供模型

Model: OPTML-Group/TOFU-origin-Llama-2-7b-chat
Source: Original Platform

README.md

@@ -0,0 +1,58 @@
+---
+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)