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

Anand Vemula

ISBN 13: 9798227328335

Published by Anand Vemula, 2024

About this Item

Paperback. 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.The guide further explores advanced topics such as quantization for edge devices and multi-lingual models. It contrasts dynamic and static quantization strategies and discusses emerging trends in the field. Practical examples, use cases, and case studies are provided to illustrate how these techniques are applied in real-world scenarios, including the quantization of popular models like GPT and BERT. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9798227328335

Bibliographic Details

Title: Quantization Methods for Large Language ...

Publisher: Anand Vemula

Publication Date: 2024

Binding: Paperback

Condition: new