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How I Took GLiClass FP8 from 59 ms to 16 ms on an RTX 4050

Multilingual zero-shot classification on a 6 GB laptop GPU, with native FP8, Triton, CUDA Graphs, and reproducible measurements. I quantized Knowledgator’s GLiClass Multilang Ultra into a custom FP8 W8A8 checkpoint. Then I wanted to find out how much of that compression could translate into faster…

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  1. 2026-09-27 14:40 · DEV Community — Machine Learning
    How I Took GLiClass FP8 from 59 ms to 16 ms on an RTX 4050

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