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1git clone https://github.com/IntelLabs/Hardware-Aware-Automated-Machine-Learning.git haaml && cd haaml/SQFT
2
3MODEL_NAME=IntelLabs/sqft-sparsepeft-mistral-7b-v0.3-50-math-heu
4OUTPUT_DIR=./results
5python eval/evaluate_math.py --base_model_path ${MODEL_NAME} --output_dir ${OUTPUT_DIR}1@inproceedings{munoz-etal-2024-sqft,
2 title = "{SQFT}: Low-cost Model Adaptation in Low-precision Sparse Foundation Models",
3 author = "Munoz, Juan Pablo and
4 Yuan, Jinjie and
5 Jain, Nilesh",
6 editor = "Al-Onaizan, Yaser and
7 Bansal, Mohit and
8 Chen, Yun-Nung",
9 booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2024",
10 month = nov,
11 year = "2024",
12 address = "Miami, Florida, USA",
13 publisher = "Association for Computational Linguistics",
14 url = "https://aclanthology.org/2024.findings-emnlp.749",
15 pages = "12817--12832",
16}