MiniCPM5-2B开源模型发布
How is this even possible?! This new open source model is only 2B parameters and at the same time: ...
OpenBMB发布了MiniCPM5-2B，20亿参数却超越6倍大模型，还能在手机上本地运行，数据训练配方全开源。
MiniCPM5-2B是一个仅20亿参数的开源语言模型，在Artificial Intelligence Index上排名#1，得分23。该模型在34个基准测试中平均得分53.9，涵盖编程、数学、长上下文理解等领域。它在Agentic Index上得分20，为边缘设备带来了早期通用智能体能力。
How is this even possible?! This new open source model is only 2B parameters and at the same time: ...
How is this even possible?! This new open source model is only 2B parameters and at the same time: > better than models 6x bigger > can run locally and offline on a phone > optimized for agents/coding/tool use Hard to realize how the intelligence density has improved when you think about it. OpenBMB @OpenBMB 🚀 Meet MiniCPM5-2B, a 2B-parameter language model bringing high intelligence density to the edge, now open source! It ranks #1 among open-source models under 4B parameters on the @ArtificialAnlys Intelligence Index, with a score of 23. It also scores 20 on the Agentic Index, bringing an early form of general-purpose agent capability to the edge. Across 34 benchmarks, MiniCPM5-2B achieves an average score of 53.9, covering coding, math, long-context understanding, tool use, and agentic tasks. And this release goes beyond the model itself. We’re opening up the data, training recipes, and RL stack behind MiniCPM5-2B. 🤗 Hugging Face huggingface.co/openbmb/MiniCP… jq 💻 GitHu github.com/OpenBMB/MiniCPM v8f Modelscop modelscope.cn/models/OpenBMB… zgu We openbmb.cn eZL 🔗 View Quoted Tweet 💬 3 🔄 2 ❤️ 7 👀 2488 📊 3 ⚡
