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title: README | |
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# π§ 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: π [arXiv:2506.12618](https://arxiv.org/abs/2506.12618) | |
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## π£ 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}, | |
} | |