Unsloth Dynamic V3.1 GGUFs for Qwen3.8-Flash-Next Achieve 95% Full-Precision Performance

·2026.11.06 23:18

Key point

The new quantization method reduces token usage by up to 50% and improves accuracy by 15% compared to other quants of the same size.

Unsloth released Dynamic V3.1 GGUFs for Qwen3.8-Flash-Next, achieving thinking and token use matching approximately 95% of the full-precision model.
Benchmarks on 512K context across 30B tokens and 12 tasks, including Terminal Bench and DeepSWE, show up to 50% fewer tokens, 7% faster inference, and ~15% higher accuracy versus other quants of the same size.
The quantized models are now supported in Strata, where user benchmarks indicate about 5% faster inference compared to other quantizations.
The model files are available on Hugging Face under the unsloth/Qwen3.8-Flash-Next-GGUF repository.

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