Nace releases data-aware quantization for Qwen 3.8 Flash Next and smaller models
Nace engineer Alish unveiled KQuant, a data-aware quantization method for MLX and GGUF, reporting 3.7x closer KL-divergence to full precision on Qwen 3.8 Flash Next 180B and 1.5-2.6x gains on 9B, 27B, and 35B models.
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Timeline · 9 reports
- 2026-11-14 10:04 · r/LocalLLM
Qwen 3.8 Flash Next + RTX 5090, 160GB, RAID0 NVMe - 2026-11-14 09:55 · r/LocalLLaMA
Qwen 3.8 Flash Next for gamedev - it's very capable! - 2026-11-14 06:46 · DEV Community — Machine Learning
Weight-space programming at 50 forward passes: Qwen hit 48.1%, Gemma 7.0% - 2026-11-13 19:23 · r/LocalLLaMA
Weight Space Programming for Quantization: Nace quants achieve up to 2x better KL divergence for Qwen 9B, 27B, 35B & Flash Next [GGUF] - 2026-11-13 19:00 · DEV Community — Machine Learning
Weight-space programming is not autonomous self-improvement - 2026-11-13 04:06 · r/LocalLLaMA
Artificial Analysis updated Qwen 3.8 Flash Next score as 29 - 2026-11-12 19:50 · r/LocalLLM
How many tokens/s do I get with rtx 5090 32gb and 64 gb ram for qwen 3.8 flash next? - 2026-11-12 11:17 · r/LocalLLM
KQuant - data-aware quantization, 3.7× closer to full precision on Qwen Flash-Next 180B, 1.5–2.6× on 27B / 35B / 9B (KL-divergence) (MLX) - 2026-11-12 10:47 · r/LocalLLaMA
KQuant - new quantization technique, 3.7× better quants for Qwen Flash Next 180B, Qwen 27B, 35B, 9B (measured in KL-divergence reduction) (MLX)