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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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@@ -33,7 +33,7 @@ Refer to our [repo](https://github.com/IntelLabs/Hardware-Aware-Automated-Machin
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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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  ```