Qwen3.8-Flash Hints at Stable Local Agents on Small Hardware
Express_Quail_1493 · reddit · 2026-11-13
A Reddit user argues Qwen3.8-Flash shows what small local hardware may soon handle.
The claim: for coherent behavior (not world knowledge), active parameters matter more than total. 4B-class models juggling complex rules and many instructions tend to loop when active params are small — e.g. Qwen3.6-35B-A3B with only 3B active often needed 8B–9B active to stay stable. Qwen3.8-Flash suggests a 6B-class model could reach Qwen3.8-27B-level robustness within a year, avoiding uncertainty loops under conflicting instructions.
The author speculates 16GB RAM / 4GB VRAM laptops could soon run local AI capable of unsupervised autonomy.
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