EXL3 quants of Qwen/Qwen3.8-Flash-Next, converted from BF16 with calibration data generated by the model itself: coding-agent sessions, chats in Russian, English and 14 more languages at four reasoning levels, images. With the same model size in memory as turboderp's 4.05 bpw quant, 15-17% lower KL divergence from BF16 on two independent traces that played no part in calibration. Code, calibration data and evaluation data are all public, so the quant can be reproduced end to end. Everything needed to rebuild this quant from the BF16 checkpoint is public: KL divergence of the output distribution against BF16, measured with exllamav3 qbench, teacher-forced on assistant turns; lower is closer…