Unsloth releases Dynamic v3.1 GGUFs for Qwen3.8-Flash-Next, says accuracy is up 15%

Unsloth co-founder Daniel Han released Dynamic v3.1 GGUFs for Qwen3.8-Flash-Next on November 4th, claiming the quantized files score 10-15% higher than GSQ-RCO on DeepSWE, Terminal Bench, Aider Polyglot and other tests in Unsloth's own benchmarking, with accuracy up 15%. The release offers swappable engrams ranging from 28.8 GB to 102.4 GB, giving users a direct trade between file size and measured error for running the 125B-parameter model locally.

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 https://runtimewire.com/author/ryan-merket · Published · Updated Primary source: x.com https://x.com/danielhanchen/status/2118037508139413742 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 https://x.com/danielhanchen released new Dynamic v3.1 GGUFs for Qwen3.8-Flash-Next https://runtimewire.com/models/huggingface/qwen-qwen3.8-flash-next-c6e4ec527c4bd931 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.… When you purchase through links in our articles, we may earn a small commission https://runtimewire.com/affiliate-monetization-standards . This doesn’t affect our editorial independence.