--- title: README emoji: 🏃 colorFrom: red colorTo: blue sdk: static pinned: false --- # 🧠 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 — 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: 📄 [arXiv:2506.12618](https://arxiv.org/abs/2506.12618) --- ## 📣 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}, }