OpenBMB发布了MiniCPM5-1B(Non-reasoning),一款1B参数的稠密大语言模型。该模型在Artificial Analysis Intelligence Index上获得17.9分,成为1B及以下开源模型中得分最高者。其得分领先同规模模型Qwen3.5 0.8B(10.5分)和Qwen3.5 2B(16.3分),性能超越前代模型MiniCPM-V 4.6 1.3B(12.7分)。MiniCPM5-1B为纯文本模型,上下文窗口128K,采用Apache 2.0许可证。在AA-Omniscience测试中,其通过选择“拒绝回答”而非猜测,避免了模型幻觉惩罚,获得了同尺寸类别的最高分。
OpenBMB has released MiniCPM5-1B (Non-reasoning), the leading 1B open weights model, scoring 17.9 on the Artificial Analysis Intelligence Index
@OpenBMB is a China-based lab jointly founded in 2022 by Tsinghua University's NLP Lab and ModelBest Inc. This release extends the open weights Pareto frontier for Intelligence vs. Parameters at the sub-2B scale. It sits almost 2 points ahead of the best-performing 2B open weights model, @Alibaba's Qwen3.5 2B (Reasoning, 16.3), and 7 points ahead of Qwen3.5 0.8B (Reasoning, 10.5).