Quantization Methods for Large Language Models From Theory to Real-World Implementations

Vemula, Anand

Published by Draft2digital, 2024

New PAP

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Synopsis:

The book provides an in-depth understanding of quantization techniques and their impact on model efficiency, performance, and deployment.

The book starts with a foundational overview of quantization, explaining its significance in reducing the computational and memory requirements of LLMs. It delves into various quantization methods, including uniform and non-uniform quantization, per-layer and per-channel quantization, and hybrid approaches. Each technique is examined for its applicability and trade-offs, helping readers select the best method for their specific needs.

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Bibliographic Details

Title: Quantization Methods for Large Language ...
Publisher: Draft2digital
Publication Date: 2024
Binding: PAP
Condition: New

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