SQFT
Collection
SQFT Models (SQFT: Low-cost Model Adaptation in Low-precision Sparse Foundation
Models)
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57 items
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Updated
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2
git clone https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning.git haaml && cd haaml/SQFT
MODEL_NAME=IntelLabs/sqft-sparsepeft-mistral-7b-v0.3-50-math-heu
OUTPUT_DIR=./results
python eval/evaluate_math.py --base_model_path ${MODEL_NAME} --output_dir ${OUTPUT_DIR}
Refer to our repo for the environment information to run this command.
Repository: https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning/tree/main/SQFT
Paper:
@inproceedings{munoz-etal-2024-sqft,
title = "{SQFT}: Low-cost Model Adaptation in Low-precision Sparse Foundation Models",
author = "Munoz, Juan Pablo and
Yuan, Jinjie and
Jain, Nilesh",
editor = "Al-Onaizan, Yaser and
Bansal, Mohit and
Chen, Yun-Nung",
booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
month = nov,
year = "2024",
address = "Miami, Florida, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.findings-emnlp.749",
pages = "12817--12832",
}
Apache-2.0