UkisAI Swift GLM5.3 + GSQ-RCO, Swift Ornith 9B / -57.7% Token Usage with <1% accuracy loss on max reasoning
英文标题:UkisAI Swift GLM5.3 + GSQ-RCO, Swift Ornith 9B / -57.7% Token Usage with <1% accuracy loss on max reasoning
Hi everyone, Jovan from UkisAI here, Today we are expanding our Swift model series with two models requested by the community. We made Swift GLM-5.3-Flash and Swift Ornith 9B more efficient by figuring out which tokens were linked to pathological overthinking and penalizing them without "atta
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中文
Hi everyone, Jovan from UkisAI here, Today we are expanding our Swift model series with two models requested by the community. We made Swift GLM-5.3-Flash and Swift Ornith 9B more efficient by figuring out which tokens were linked to pathological overthinking and penalizing them without "atta
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English / 原文
Hi everyone, Jovan from UkisAI here, Today we are expanding our Swift model series with two models requested by the community. We made Swift GLM-5.3-Flash and Swift Ornith 9B more efficient by figuring out which tokens were linked to pathological overthinking and penalizing them without "atta