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Cutting 64 of 256 Experts from a GGUF by Byte Copy: What the Headers Say About GLM-5.3-SLIM on One B200

TL;DR Scantist's GLM-5.3-SLIM-GGUF is a 192-expert version of Unsloth's 256-expert UD-IQ2_M file, and it is built by copying bytes, not by requantizing. We read both sets of GGUF headers on November 11, 2026. The file drops from 238.58 GB to 179.86 GB, a 24.6% cut, and the header math says 93.4% of…

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  1. 2026-11-11 02:33 · DEV Community — Machine Learning
    Cutting 64 of 256 Experts from a GGUF by Byte Copy: What the Headers Say About GLM-5.3-SLIM on One B200

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