Unsloth Releases Qwen3.8-27B GGUFs with 10% Higher Accuracy
danielhanchen · reddit · 2026-08-20
Unsloth released new GGUFs for Qwen3.8-27B using Dynamic v3.0, offering 10% higher accuracy at the same size and outperforming others by >10% on Div-300 and KLD benchmarks. They also released 1-bit quants retaining 77% accuracy, runnable on 8GB RAM. The method relies solely on post-training quantization without QAT/QAD or imatrix dataset training. An overfitting analysis and the imatrix file are provided for the community. The Unsloth Desktop will also update with auto-compaction and external API tool calling.
Related event: Unsloth's Dynamic v3.0 Quantization Boosts Qwen3.8-27B Accuracy by 10%(2 posts)→
More from Infra
- Rural Residents Push Back Against Data Centers as Tech Giants Pivot Marketing — dinabass · 2026-08-20
- Rural Residents Push Back Against Data Centers as Tech Giants Pivot Marketing — dinabass · 2026-08-20
- Startup Helps Wall Street Price AI Compute Amid Surge — TechCrunch AI · 2026-08-20
- AI uses 10x energy of a Google search, facing infrastructure supply cliff — ingliguori · 2026-08-20
- Unsloth Releases Qwen2.5-72B Quants: 1-bit Version Runs on 8GB RAM — cephaloform · 2026-08-20
- DGX Spark Matches B300 Servers at ~$4,700 Per PFLOP, Sparking Decentralized Pretraining Idea — jon_durbin · 2026-08-20