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ByteOtter replicates tensor-level allocation on Qwen 3.5 4B, achieving a 16.67% relative improvement in reasoning performance with only a 0.412% increase in model size, marking the first cross-family application outside Gemma.
A developer created a task-aware GGUF quantization pipeline that uses tensor-level bit allocation to improve Gemma 4 12B Q3 coding performance by 8.55% over a hand-tuned imatrix while increasing model size by only 0.119%.