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README.md
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- **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/LoNAS](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/LoNAS)
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- **Paper:** [LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models]()
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## Citation
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```bibtex
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- **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/LoNAS](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/LoNAS)
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- **Paper:** [LoNAS: Elastic Low-Rank Adapters for Efficient Large Language Models]()
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## Ethical Considerations
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Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See [Intel’s Global Human Rights Principles](https://www.intel.com/content/dam/www/central-libraries/us/en/documents/policy-human-rights.pdf). Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.
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| Ethical Considerations | Description |
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| ----------- | ----------- |
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| Data | The adapter was trained using the commonsense_15k data mixture as described above. |
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| Human life | The model is not intended to inform decisions central to human life or flourishing. |
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| Mitigations | No additional risk mitigation strategies were considered during model development. |
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| Risks and harms | This model has not been assessed for harm or biases, and should not be used for sensitive applications where it may cause harm. |
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| Use cases | - |
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## Citation
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```bibtex
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