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New Qwen3.8-27B Unsloth Dynamic V3.1 GGUFs

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Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 11/11/2026, 19:47:25 UTC.

Briefings

A community report from r/LocalLLaMA on November 11, 2026, announces new Unsloth Dynamic v3.1 GGUF quantizations for Qwen3.8-27B. The authors claim a 5-10% accuracy improvement over previous versions on DeepSWE and Terminal Bench, while noting that 3-bit models are not updated due to comparable performance to UD3.1. Benchmarks were conducted with 256K context for agentic tasks and 128K for others, using temperature 1.0 and top_p 0.95. The report highlights a discrepancy in ISTA's AIME25 results, suggesting their quants may underperform on average compared to the authors' UD3 models.

Key points

• New Unsloth Dynamic v3.1 GGUF quantizations for Qwen3.8-27B were released on November 11, 2026, claiming 5-10% accuracy improvements on DeepSWE and Terminal Bench.
• The authors state that 3-bit quantizations are not updated because UD3 achieved comparable performance to UD3.1, though other sizes are being improved.

Context

This finding comes from a community post on r/LocalLLaMA by user danielhanchen, detailing benchmark comparisons between new and old quantizations. The study uses multiple trials to assess recovery rates, with the authors concluding their UD3 models outperform ISTA on average despite ISTA's reported 100% accuracy claims.

Limitations

Benchmarks were limited to 256K context for agentic tasks and 128K for others; 3-bit models were excluded from the new release due to comparable performance to UD3.1. The study relied on multiple trials rather than single runs, and ISTA's reported 100% accuracy may be optimistic given the authors' 93-96% average recovery rate.

Generated by Bittrees-hosted qwen35-2b sha256:aaf42c8b7c3c on 12/11/2026, 03:11:31 UTC. Based on publisher-provided feed evidence; may not cover the full original article. Check the source for details.

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