OpenBMB· @OpenBMB · X·· 2026-09-08AI 评分58
AI 导读
面壁智能（OpenBMB）开源 2B 参数端侧模型 MiniCPM5-2B，在 Artificial Analysis Intelligence Index 上得分 23，为 4B 以下开源模型第一，Agentic Index 得分 20，34 项基准平均 53.9。
正文 · 原文
Yesterday, we open-sourced MiniCPM5-2B. Today, we’re opening up the RL stack behind it.
Meet Meshy, our in-house, service-based async RL engine. No Ray. No central controller. Inference, rollout, and training run as independent services over a unified data plane. And JustRL II, a critic-based recipe for scaling small LLMs to 128K reasoning. This is the RL stack behind MiniCPM5-2B.
https://x.com/OpenBMB/status/2097308982071431543?s=20
🚀 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: http://huggingface.co/openbmb/MiniCPM5-2B 💻 GitHub: http://github.com/OpenBMB/MiniCPM Modelscope: http://modelscope.cn/models/OpenBMB/MiniCPM5-2B Web: https://openbmb.cn/在 X 查看被引用的帖子
来源：OpenBMB · x.com