Model Quantization

Quantization compresses an AI model’s numerical weights into smaller, lower-precision numbers so it can run on phones and laptops instead of large data centers. This hub explains how quantization works and the trade-offs between size, speed, and accuracy.

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A diagram comparing a smooth analog wave sampled at 2-bit, 3-bit, and 4-bit resolution, illustrating how reducing precision creates a coarser but smaller representation — the same principle behind AI model quantization.

What Is AI Model Quantization — and How Does It Work?

16 July 2026

AI models are usually trained with high-precision math, but quantization compresses their weights into smaller numbers so they can run on a phone or laptop instead of a data center.