EnrichedOpen SourceCommunity
We built a calibration-aware Q4_K_M quant of Qwen3.5 0.8B that recovers 96.5% of the BF16 gap vs pure llama.cpp Q4_K_M (SpectralQuant)
Why it matters
This story from Reddit r/LocalLLaMA is relevant to the Open Source branch of the AI ecosystem and may affect models, products, or research direction.
Technical breakdown
We built a calibration-aware Q4_K_M quant of Qwen3.5 0.8B that recovers 96.5% of the BF16 gap vs pure llama.cpp Q4_K_M (SpectralQuant)
Business impact
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