Unsloth releases Dynamic v3.1 GGUFs for Qwen3.8-Flash-Next, says accuracy is up 15%
Daniel Han's Unsloth says the new quants beat GSQ-RCO by 10-15% on agentic coding tests, with swappable engrams from 28.8 GB to 102.4 GB.
By Ryan Merket · Published
Primary source: x.com
Why it matters
Quantization affects whether a 125B-parameter model can run locally. Unsloth's engram switching gives users a direct trade between file size and measured error.
Unsloth co-founder Daniel Han (@danielhanchen) released new Dynamic v3.1 GGUFs for Qwen3.8-Flash-Next on November 4th, saying the files score 10-15% higher on DeepSWE, Terminal Bench, Aider Polyglot and other tests than GSQ-RCO in Unsloth's own benchmarking.…
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