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)

Hey everyone, We just released our first release candidate from Spectral Labs: a Qwen3.5 0.8B Q4_K_M built using a new calibration-aware quantization approach we're calling SpectralQuant. The goal here was to see if we could make a standard Q4_K_M footprint behave more like a larger quant format, wi