Jeff-Qwen3.5-0.8B

0.8B model with 9 LoRA adapters gives 38x faster decisions

A developer released Jeff-Qwen3.5-0.8B plus 9 task-specific LoRA adapters that answer common agent decisions first, passing only uncertain queries to Qwen3.8-27B. On an M4 Max, accuracy rose from 86.6% to 95.3% and time per decision fell from 8.1s to 0.25s, for under 2 GB of extra memory.