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Introducing DeepSeek-V4.1-Flash-1017 Dynamic v3.1 Unsloth GGUFs

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 30/10/2026, 17:47:25 UTC.

Briefings

DeepSeek-V4.1-Flash-1017 Dynamic v3.1 GGUFs released in October 2026 demonstrate superior accuracy across seven benchmarks compared to competing models like GSQ-RCO, with AIME25 showing ~91.88% recovery versus claimed 100%. The model supports 128GB unified memory and 64GB with engram offloading, and KLD scores indicate efficient quantization without perfect model equivalence.

Key points

• DeepSeek-V4.1-Flash-1017 Dynamic v3.1 outperforms competing models on nearly all benchmarks, with AIME25 showing 91.88% accuracy recovery versus claimed 100% by GSQ-RCO.
• The model supports running on 128GB unified memory or 64GB with engram offloading, and KLD scores confirm efficient quantization without perfect model equivalence.

Context

Released October 2026, DeepSeek-V4.1-Flash-1017 Dynamic v3.1 GGUFs showcase Unsloth's accuracy retention across 7 benchmarks, outperforming GSQ-RCO on most metrics including AIME25, LiveCodeBench, and GPQA Diamond.

Limitations

Benchmark data includes 16 runs for AIME25 with averaged results; some reported claims like 100% accuracy recovery were not reproduced in testing; KLD analysis shows quantized models differ from 16bit originals.

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