StartLux-Decision-v1.1 tops Hugging Face decision-model leaderboard
Reports from 36Kr, TMTPost and InfoQ Chinese say StartLux's StartLux-Decision-v1.1-27B Instant ranked first on Hugging Face's updated Decision Index 0.3.2 with 69.1 points, which InfoQ gives as 69.12; the reports differ on whether 173 or 174 entries were listed. The new generation offers Instant, which returns option probabilities in a single pass, and AutoThink, which generates extra reasoning only when initial confidence is insufficient; the team also introduced the RLCD² training method and the DecisionPivot benchmark, and says 27B AutoThink scored 73.37 on its own Decision Index 0.3 evaluation versus 57.96 for hosted Jev. Model weights and inference code are published, but the weights use a CC BY-NC 4.0 license limited to non-commercial use, with commercial deployment requiring separate authorization.
For agent developers, these decision models return option probabilities that can be used for task routing, permission checks and tool calls; StartLux's top public leaderboard ranking makes it a new option to evaluate for such specialized models.

作者|林绮蓓
编辑|蔡芳芳
Jev此前的走红,让一类专门为AI系统提供判断结果的决策模型进入开发者视野。与通常生成一段文字回答问题的大语言模型不同,决策模型接收当前状态和候选选项,直接给出各个选项的概率,供Agent或其他程序决定下一步行动。
如今,这个赛道迎来了一位中国挑战者。
10 月 16 日更新的Hugging Face Decision Index 0.3.2榜单中,中国团队StartLux的27B Instant模型以69.12分位列174个参评条目第一,公开基准、同类能力私有测试及新领域私有测试三个部分的成绩均排名第一。
#StartLux#StartLux-Decision-v1.1#Hugging Face#Jev#TypeSafe#DecisionPivot#RLCD²#GLM-5.3