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How We Shrank an AI Model by 85% and Kept 90% of Its Smarts

Qwen3-4B ships as an 8.05 GB file of 16-bit weights. In this post we walk through how a 2-bit quantizer gets the same model down to 1.24 GB (85% smaller) without retraining, and how to check whether the result is any good. Our worked example is Pingala-8, an open-source format we built on llama.cpp…

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  1. 2026-10-24 13:33 · DEV Community — Machine Learning
    How We Shrank an AI Model by 85% and Kept 90% of Its Smarts

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