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title: README
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# 🧠 OpenUnlearning Hub: A Collection of Trained/Unlearned LLMs
Welcome to the **OpenUnlearning Hub**, a central repository of models trained and unlearned using the [OpenUnlearning](https://github.com/locuslab/open-unlearning) framework β€” a standardized toolkit for benchmarking and accelerating machine unlearning in large language models (LLMs).
**OpenUnlearning** is a unified and extensible framework for:
- Evaluating unlearning methods and metrics
- Comparing the efficiency of forgetting algorithms
- Providing a common benchmark to accelerate research in LLM unlearning
Read our paper for the full details: πŸ“„ [arXiv:2506.12618](https://arxiv.org/abs/2506.12618)
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## πŸ“£ Citation
If you use our models or code in your research or applications, please cite:
```bibtex
@article{openunlearning2025,
title={{OpenUnlearning}: Accelerating {LLM} Unlearning via Unified Benchmarking of Methods and Metrics},
author={Dorna, Vineeth and Mekala, Anmol and Zhao, Wenlong and McCallum, Andrew and Lipton, Zachary C and Kolter, J Zico and Maini, Pratyush},
journal={arXiv preprint arXiv:2506.12618},
year={2025},
}