Every UkisAI story collected by The AI Daily, 2 so far, newest first, refreshed hourly.
Swift‑Qwen3.8‑27B Cuts Overthinking TokensA LocalLLaMA post highlights UkisAI’s Swift‑Qwen3.8‑27B fine‑tune, which penalizes tokens that trigger overthinking and borrows BottleCap AI techniques to reduce reasoning tokens by roughly 30–50% while keeping output quality.
UkisAI releases Swift‑Qwen3.8‑27BUkisAI post‑trained Qwen 3.8 27B to penalize tokens tied to “overthinking,” using On‑Policy Distillation to cut thinking tokens by 58%, speed up 1.95×, and keep accuracy loss under 1%. The model is open‑sourced on Hugging Face and a free NVIDIA‑backed OpenAI‑compatible API is available (5 RPM limit).
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