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What Model Quantization Actually Does: From Float16 to 4-Bit Weights

This story is from 2026-09-18. It is preserved in the archive; the latest stories are on the live feed.

You download llama-3.1-8b-instruct-q4_k_m.gguf . It's 4.7 GB. The original BF16 weights were 16 GB. You run it, it works, and you move on. But here is what actually happened to those weights. The Core Trick: Linear Quantization Quantization is just a reconstruction problem. You have a continuous va…

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  1. 2026-09-18 20:03 · DEV Community — Machine Learning
    What Model Quantization Actually Does: From Float16 to 4-Bit Weights

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