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How we fit a 27B model on a 12 GB laptop GPU

In short Qwen3.8-27B goes from 53.8 GB of 16-bit weights to an 8.31 GB Pingala-8 file, 84.5% smaller (6.5x). It runs with every layer on one 12 GB RTX 5070 Ti Laptop GPU at 37.7 tokens/s (llama-bench, batch 1). Version 2 moves bits between tensor roles and layer depths, following the allocation in…

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  1. 2026-11-01 08:25 · DEV Community — Machine Learning
    How we fit a 27B model on a 12 GB laptop GPU

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