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# SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models
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Official implementation of [SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models]().
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Official implementation of [SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation Models](https://arxiv.org/pdf/2410.03750).
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This repo contains the code for **SQFT**, an end-to-end solution for low-precision sparse parameter-efficient fine-tuning of LLMs. SQFT allows for effective model manipulation in resource-constrained environments.
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Please refer to our paper for more details.
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## News
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-**[2024.09.24]****SQFT** paper has been released ([link]()) and **accepted at EMNLP 2024 Findings**. :books:
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-**[2024.09.24]****SQFT** paper has been released ([link](https://arxiv.org/pdf/2410.03750)) and **accepted at EMNLP 2024 Findings**. :books:
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-**[2024.09.24]** Release the code for **SQFT**. :tada:
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