BottleCap AI Releases ThinkingCap-Qwen3.8-27B: 37.2% Fewer Thinking Tokens at a 0.86pp Accuracy Cost
MarkTechPost 2 weeks ago 35
BottleCap AI released ThinkingCap-Qwen3.8-27B as a fine-tune of Qwen3.8-27B to shorten reasoning traces. It cuts thinking tokens by 37.2% on average across 12 benchmarks while macro-average accuracy drops from 86.65% to 85.79% (0.86pp). It’s deployable as a drop-in on vLLM or SGLang with various quantized builds, but weights are gated and commercial use needs a BottleCap agreement beyond the small-business license.
