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

> Source: <https://runtimewire.com/article/unsloth-dynamic-v31-ggufs-qwen38-flash-next>
> Published: 2026-11-04 17:59:04+00:00

# 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.…

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