AI article
How 8-bit quantization shrinks an LLM to a quarter of its size — and why a single outlier weight can quietly ruin it
Community description: A beginner-friendly walk through INT8 quantization: one running example, the math in plain words, and why a single large weight decides how well it works. With an interactive playground.
Dev.to | Oct 11, 2026 | Susheem Koul
Automated excerpt
The size of the overall weights is simple arithmetic: number of weights × bytes per weight. Same matrix, one scale per block of 8 weights. Activations are harder than weights, though.
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