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README.md
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## Model Sources
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## Ethical Considerations
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## Citation
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```bash
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@inproceedings{
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}
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```
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## Model Sources
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**Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/Shears)
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**Paper:**
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- [Shears: Unstructured Sparsity with Neural Low-rank Adapter Search](https://arxiv.org/abs/2404.10934)
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- [Low-Rank Adapters Meet Neural Architecture Search for LLM Compression](https://arxiv.org/abs/2501.16372)
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## Ethical Considerations
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## Citation
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```bash
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@inproceedings{munoz-etal-2024-shears,
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title = "Shears: Unstructured Sparsity with Neural Low-rank Adapter Search",
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author = "Mu{\~n}oz, J. Pablo and
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Yuan, Jinjie and
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Jain, Nilesh",
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editor = "Yang, Yi and
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Davani, Aida and
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Sil, Avi and
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Kumar, Anoop",
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booktitle = "Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 6: Industry Track)",
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month = jun,
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year = "2024",
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address = "Mexico City, Mexico",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2024.naacl-industry.34",
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doi = "10.18653/v1/2024.naacl-industry.34",
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pages = "395--405",
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}
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```
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