Qwen 3.8 27B Q3 Review: Strong Performance Despite Low Quantization
AltruisticList6000 · reddit · 2026-08-21
A user reports on running the Qwen 3.8 27B Q3xxs quantization on an RTX 4060 Ti 16GB. Despite typically avoiding Q3 quants, this model impressed by one-shotting serious coding tasks—producing fully working games or web apps—outperforming the previously used Qwen 3.6 35B. It generates at 30-35t/s when fully in VRAM, comparable to the older model's offloaded speed. Downsides include occasional misunderstandings in casual chat or basic counting errors, though math and logic capabilities remain strong.
Related event: Qwen3.8-27B Punches Above Its Weight Against 100x Larger Models(3 posts)→
More from Models
- Claude Opus 5.5 effort levels tested: low reasoning iterates 9x faster than max — tom_doerr · 2026-10-16
- Muse Spark Open runs locally on a Mac M3 Ultra via llama.cpp: frontier model on desktop — pcuenq · 2026-10-16
- OpenAI ships GPT-Live-1.1: new voices in six languages, fewer confirmations — OpenAI · 2026-10-16
- Muse Spark model appears on LMArena, testable in Battle and Agent modes — arena · 2026-10-16
- Running a multi-model UI design arena: Paseo orchestrates four design drafts per model — vista8 · 2026-10-16
- Ilya Sutskever questions Meta license clause taxing MaaS providers above $20M revenue — ilyasu · 2026-10-16