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Nov, 2022
估算BLOOM的碳足迹：一种含有176B参数的语言模型
Estimating the Carbon Footprint of BLOOM, a 176B Parameter Language Model
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Alexandra Sasha Luccioni, Sylvain Viguier, Anne-Laure Ligozat
TL;DR
本研究旨在量化BLOOM语言模型的碳足迹，并研究了其在训练和推断过程中的能源消耗和环境影响，结果显示其训练过程总计排放了24.7至50.5吨CO2，同时探讨了未来研究方向以改善机器学习模型的碳排放报告。
Abstract
Progress in
machine learning
(ML) comes with a cost to the environment, given that training ML models requires significant computational resources, energy and materials. In the present article, we aim to quantify the
ca
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