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FASQ: Flexible Accelerated Subspace Quantization for Calibration-Free LLM Compression

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Qiao, Ye, Wang, Yian, Chen, Zhiheng, Kwon, Hyoukjun, Huang, Sitao
Format:	Preprint
Publié:	2026
Sujets:	Machine Learning Artificial Intelligence Hardware Architecture
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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