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Updated: Sep 11, 2025

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LRQuant:基于变压器的大型基础模型的培训后量化统一和可学习的框架

Jiaqi Zhao, Chao Zeng, Ming Wang

    IEEE transactions on pattern analysis and machine intelligence
    |August 14, 2025
    PubMed
    概括

    本研究介绍了LRQuant,这是一种用于大型基础模型的新型训练后量化方法. LRQuant优化了缩放因子,并使用了一个新的损失函数来改善各种场景中的模型效率和准确性.

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