初始化项目，由ModelHub XC社区提供模型

Model: OPTML-Group/NPO-SAM-MUSE-NEWS
Source: Original Platform

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README.md

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+---
+license: mit
+language:
+- en
+base_model:
+- muse-bench/MUSE-news_target
+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
+datasets:
+- muse-bench/MUSE-News
+---
+
+# NPO-Unlearned w/ SAM Model on Task "MUSE NEWS"
+
+## Model Details
+
+- **Unlearning**:
+  - **Task**: [🤗datasets/muse-bench/MUSE-News](https://huggingface.co/datasets/muse-bench/MUSE-News)
+  - **Method**: NPO
+  - **Smoothness Optimization**: Sharpness-aware Minimization (SAM) 
+- **Origin Model**: [🤗muse-bench/MUSE-news_target](https://huggingface.co/muse-bench/MUSE-news_target)
+- **Code Base**: [github.com/OPTML-Group/Unlearn-Smooth](https://github.com/OPTML-Group/Unlearn-Smooth)
+- **Research Paper**: ["Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and Beyond"](https://arxiv.org/abs/2502.05374)
+
+## Loading the Model
+
+```python
+import torch
+from transformers import AutoModelForCausalLM
+
+model = AutoModelForCausalLM.from_pretrained("OPTML-Group/NPO-SAM-MUSE-NEWS", torch_dtype=torch.bfloat16, trust_remote_code=True)
+```
+
+## Citation
+
+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
+
+Reporting issues with the model: [github.com/OPTML-Group/Unlearn-Smooth](https://github.com/OPTML-Group/Unlearn-Smooth)

config.json

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+{
+  "_name_or_path": "muse-bench/MUSE-News_target",
+  "architectures": [
+    "LlamaForCausalLM"
+  ],
+  "attention_bias": false,
+  "attention_dropout": 0.0,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "hidden_act": "silu",
+  "hidden_size": 4096,
+  "initializer_range": 0.02,
+  "intermediate_size": 11008,
+  "max_position_embeddings": 2048,
+  "mlp_bias": false,
+  "model_type": "llama",
+  "num_attention_heads": 32,
+  "num_hidden_layers": 32,
+  "num_key_value_heads": 32,
+  "pretraining_tp": 1,
+  "rms_norm_eps": 1e-05,
+  "rope_scaling": null,
+  "rope_theta": 10000.0,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.40.0",
+  "use_cache": false,
+  "vocab_size": 32000
+}

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+{
+  "_from_model_config": true,
+  "bos_token_id": 1,
+  "eos_token_id": 2,
+  "transformers_version": "4.40.0"
+}

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special_tokens_map.json

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+}

tokenizer_config.json

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