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Quantization from the ground up

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Blog Intermediate

Sam Rose

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Description

Long-form ngrok blog article by Sam Rose that explains model quantization from first principles, focused on how large language models are compressed. The URL is a single free blog post with interactive diagrams.

It covers why parameter counts make models large, how computers store integers and floats, reducing float precision, compressing weights with quantization, and measuring quality loss afterward. Sections move from tiny toy graphs to billions of parameters and practical size versus accuracy tradeoffs.

Written for engineers who want an intuitive path into quantization without a deep numerical-methods background. Helpful if you already meet quantized checkpoints and want the storage story behind them.

Access is a free public HTML article on the ngrok blog with in-page interactive bits for bit patterns and small networks. No registration is required to read.

Useful as a clear mental model before choosing quantized deployments or reading more specialized ML systems material.