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Task-aware Qwen3.8-27B quant retains 99% of BF16 reasoning performance

A task-aware quantization pipeline shrinks Qwen3.8-27B to 15% of BF16 size while keeping 99% of reasoning performance.

๐Ÿ“Š BENCHMARKS & EVALS

  • Task-aware Qwen3.8-27B quant retains 99% of BF16 reasoning performance
    A task-aware Qwen3.8-27B quant retained 99% of BF16 reasoning performance at 15% of the size.
    • The quant is aimed at users running Qwen3.8-27B locally, with coding support planned next.
    • The TAK (Task Aware Knapsack) quant scored 82.81% on reasoning tasks versus 83.59% for BF16 and 77.34% for Unsloth UD IQ2_S.
    • TAK reduces the model to about 15% of BF16 size while preserving most reported reasoning performance.
    • The pipeline specializes quantization around a target task, giving local-model builders a smaller reasoning-focused Qwen3.8-27B option.
    Sources ๐Ÿ“Ž Coverage: reddit.com ยท ๐Ÿ‘ via r/LocalLLaMA

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