Toward Multi-Trit Quantization for Large Language Models: A Theoretical Framework for Balanced N-Trit Weights, Trit-Plane Generalization, and Mixed-Layer Precision

Fuente: Zenodo

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Bibliographic Details
Main Author:	Heiden, Jeff McGillis
Format:	Recurso digital
Language:	English
Published:	Zenodo 2026
Subjects:	Machine Learning Large language models Quantization Ternary quantization Model compression Balanced ternary Trit-plane decomposition
Online Access:	Acceder al recurso
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