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OpenBMB发布MiniCPM5-2B，一款面向设备端使用的2.52B模型

作者 PulseAugur 编辑部 · [5 个来源] ·

OpenBMB发布了MiniCPM5-2B，这是一款拥有25.2亿参数的密集语言模型，专为设备端部署而设计。该模型在同等规模的开源模型中取得了最先进的性能，在编码、工具使用和长上下文理解方面表现出色，同时与更大模型相比也具有竞争力。此次发布包括在Apache 2.0许可下的模型权重及其高质量的训练数据集，为进一步的研究和开发提供了支持。 AI

影响 为代理任务和编码提供了强大的设备端选项，可能加速本地AI部署。

排序理由 OpenBMB（一个公认的AI实验室）发布了模型，并提供了详细的技术规格和基准测试结果。

在 Hugging Face Trending Models 阅读 →

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OpenBMB发布MiniCPM5-2B，一款面向设备端使用的2.52B模型

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OpenBMB（一个公认的AI实验室）发布了模型，并提供了详细的技术规格和基准测试结果。
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报道来源 [5]

  1. Hugging Face Trending Models TIER_1 English(EN) · openbmb ·

    openbmb/MiniCPM5-2B

    text-generation · 13 downloads · 106 likes

  2. Hugging Face Trending Models TIER_1 English(EN) · openbmb ·

    openbmb/MiniCPM5-2B-GGUF

    text-generation · 7,760 downloads · 86 likes

  3. MarkTechPost TIER_1 English(EN) · Sana Hassan ·

    OpenBMB发布MiniCPM5-2B：一款25.2亿参数密集型模型，在34项基准测试中平均得分53.9，专为设备端运行而设计

    <p>OpenBMB has released MiniCPM5-2B, a dense causal language model with 2,516,756,480 parameters and a native 131,072 token context. It averages 53.9 across the 34 benchmarks in its model card, ahead of Qwen3.5-4B at 51.1, with its clearest leads in tool use, coding agents and lo…

  4. r/LocalLLaMA TIER_1 English(EN) · /u/Equivalent-Grass-527 ·

    MiniCPM5-2B 发布日

    <table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1w9skjz/minicpm52b_release_day/"> <img alt="MiniCPM5-2B Release Day" src="https://preview.redd.it/tiz4usvfq3oh1.jpg?width=140&amp;height=127&amp;auto=webp&amp;s=f2cc353b02a7029f38ffba76f02109f2948d25f4" title=…

  5. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    OpenBMB发布MiniCPM-5-2B，一款2.52B密集模型，在34项基准测试中平均得分53.9，超越Qwen3.5-4B。专为设备端使用而设计，上下文长度达131,072

    OpenBMB has released MiniCPM5-2B, a 2.52B dense model that averages 53.9 across 34 benchmarks, outperforming Qwen3.5-4B. Built for on-device use with a 131,072 token context and Apache 2.0 licence. Strongest on tool use and coding agents. https://www. marktechpost.com/2026/09/07/…

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