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GSPO RL

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

  1. 2026-09-25 / reddit-researcherUkisAI ships the full Swift family: Qwen 3.8 fine-tunes that cut thinking tokens 40-63% at base accuracyUkisAI 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%), plus GSQ-RCO quants. The models are trained by penalizing overthinking patterns, then restoring accuracy with GSPO RL and on-policy distillation. UkisAI says the first Swift 27B passed 350k downloads in 13 days. The post drew 272 upvotes and 226 comments on r/LocalLLaMA, and one daily user reported that Swift fell into loops more often than vanilla Qwen.

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r/LocalLLaMA

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