We're releasing new Unsloth Dynamic v3.1 GGUFs for Qwen3.8-Flash-Next! They're better by 10-15% accuracy on DeepSWE, Terminal Bench, Aider Polyglot and more vs GSQ-RCO.
We also provide a new engram switching guide for BF16, Q8_0, Q5_1, IQ4_NL!
This builds upon our DeepSeek-V4.1-Flash UD3.1 work, which improved over 10-20% accuracy vs others.
All benchmarks are 256K for agentic ones, and 128K for the rest. We used temperature 1.0, top_p 0.95, top_k 20, min_p 0, no presence or repetition penalty. preserve_thinking and xhigh reasoning, and ran over 26B of tokens for benchmarking.
The RMSE vs BF16 for each of the engrams:
BF16 102.4 GB 0
Q8_0 54.4 GB 0.0053
Q5_1 38.4 GB 0.0376
IQ4_NL 28.8 GB 0.0757
More details at https://unsloth.ai/docs/models/qwen3.8-next#dynamic-v3.1-update-november-2nd-2026. We also moved all benchmarking, grading, infra issues and more to https://unsloth.ai/docs/basics/dynamic-3.0-ggufs/dynamic-3.1-ggufs