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README.md
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@@ -25,7 +25,7 @@ Refer to our [repo](https://github.com/IntelLabs/Hardware-Aware-Automated-Machin
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## Model Sources
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- **Repository:** [https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT)
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- **Paper:** [SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models]()
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## Citation
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@article{munoz2024sqft,
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title = {SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models},
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author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
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journal={},
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year={2024}
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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/SQFT](https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT)
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- **Paper:** [SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models](https://arxiv.org/abs/2410.03750)
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## Citation
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@article{munoz2024sqft,
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title = {SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models},
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author={J. Pablo Munoz and Jinjie Yuan and Nilesh Jain},
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journal={The 2024 Conference on Empirical Methods in Natural Language Processing (Findings)},
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year={2024}
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}
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```
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