community Reddit LocalLLaMA 2026-09-15T16:36 正文 thin 0 words

Cut Qwen3.8-27B Reasoning Tokens by 40% -- 3.8 'ThinkingCap' benchmarked!

英文标题:Cut Qwen3.8-27B Reasoning Tokens by 40% -- 3.8 'ThinkingCap' benchmarked!

EDIT: Sorry for the unclear title. This model is UkisAI's Swift-Qwen3.8-27B, not a new version of BottleCap AI's 3.6-ThinkingCap. All credit goes to UkisAI for making great fine-tune, and I made this post to celebrate their work. I meant no disrespect by mentioning another model in the title.
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EDIT: Sorry for the unclear title. This model is UkisAI's Swift-Qwen3.8-27B, not a new version of BottleCap AI's 3.6-ThinkingCap. All credit goes to UkisAI for making great fine-tune, and I made this post to celebrate their work. I meant no disrespect by mentioning another model in the title.

中文全文翻译正在补齐,可先查看下方英文原文。

English / 原文

EDIT: Sorry for the unclear title. This model is UkisAI's Swift-Qwen3.8-27B, not a new version of BottleCap AI's 3.6-ThinkingCap. All credit goes to UkisAI for making great fine-tune, and I made this post to celebrate their work. I meant no disrespect by mentioning another model in the title.