Two independent anti-overthinking fine-tunes cut Qwen3.8-27B's wall clock roughly in half with no measured accuracy loss.

UkisAI released Swift1.5 27B (-58.5% thinking tokens, +0.35% score), Swift Flash Next (-63.4% tokens, 1.8x faster, -0.2% at xhigh) and an experimental Swift Bonsai 2 (-39.8%), trained by penalizing overthinking patterns then restoring accuracy with GSPO RL and on-policy distillation. (r/LocalLLaMA) A separate community Aider eval (2 runs, Q8_0, llama.cpp 0.5.0) found bottlecapai's ThinkingCap-Qwen3.8-27B matched vanilla exactly at 27.1% first-try and 77.6% retry pass, using 7,436 median tokens against 12,547 and 777s per case against 1,481. Swift scored 30.8%/75.7% at 750s. One daily user reported Swift falling into loops more often than vanilla Qwen, which is the failure mode to watch for.