OpenBMB 感谢社区对 MiniCPM5 2B 的实测反馈
OpenBMB 官方下场回应了社区对 MiniCPM5 2B 的实测，点明这枚 2B 小模型在工具调用和长上下文两件事上表现不错。做端侧部署或小模型选型的开发者可以关注这条官方确认。
OpenBMB 官方在 X 平台发文，感谢社区开发者对 MiniCPM5 2B 进行的真实场景测试。帖文中确认了 MiniCPM5 2B 在 tool calling（工具调用）和长上下文任务上的表现。OpenBMB 同时表示，乐于看到社区探索不同小模型各自擅长的应用场景。
这条回复本身是 OpenBMB 对社区评测的官方回应，说明 MiniCPM5 2B 已进入开发者实际验证阶段，工具调用与长上下文是其被重点考察的两项能力。原文未披露具体基准名称和参数之外的数字。
Thanks for the detailed real-world testing! 💙 Great to see MiniCPM5 2B performing so well on tool calling and long-context tasks. Love seeing the community explore where different small models shine! 🙌
This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include MiniCPM5, OpenBMB, tool use, long context.
Source attribution: curated from OpenBMB (@OpenBMB).
