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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...
Title: Quantization Methods for Large Language ...
Publisher: Anand Vemula
Publication Date: 2024
Binding: Soft cover
Condition: New
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