Unsloth releases Dynamic v3: Qwen 27B quantization gains 10% accuracy
danielhanchen · x · 2026-08-19
Unsloth released Dynamic v3.0 quantization technology alongside new Qwen3.8-27B GGUF models. The update achieves >10% better top-1% accuracy at the same size compared to other providers, excelling in metrics like Divergence-300 and KL Divergence. The update features improved layer selection and a refined calibration dataset optimized for agentic coding. Unsloth also released 1-bit quants that retain 77% accuracy and run on 8GB RAM.
Related event: Unsloth's Dynamic v3.0 Quantization Boosts Qwen3.8-27B Accuracy by 10%(2 posts)→
More from Infra
- How Cloudera Anywhere Cloud Changes Enterprise AI — DavidLinthicum · 2026-08-20
- Fireworks and Baseten lead as top inference clouds; SpaceXAI spotted on growth list — GavinSBaker · 2026-08-20
- Nvidia and a homebuilder want $150K of GPUs bolted onto new houses, targeting 80K nodes by 2027 — alex_verem · 2026-08-20
- MLX Swift inference engine improvements to be ported open-source; run local Qwen via built-in LM server — gajesh · 2026-08-20
- Compute shortage is worse than thought: 100x RAM cut won't fix it until 2028 — AccBalanced · 2026-08-20
- Summarizing 1,000 AI Papers Costs Just $4 with DeepSeek V4 Flash — nutlope · 2026-08-20