Hugging Face trending modelspublished Sep 5, 01:44 UTC (10d ago)ingested Sep 10, 08:36 UTCopenbmb1

openbmb/MiniCPM5-2B-GGUF — new model trending #30 on Hugging Face

AI summary · glm-5.3-flash

OpenBMB released MiniCPM5-2B, a dense 2B on-device model claiming open-source SOTA among 2B-class models.

OpenBMB released MiniCPM5-2B, the second model in the MiniCPM5 series following MiniCPM5-1B, as a dense 2B Transformer built for on-device and resource-constrained deployment with GGUF weights on Hugging Face. The team claims 2B-class open-source state-of-the-art performance, remaining competitive with 4B-class models in coding, mathematics, long-context understanding, tool use and agentic tasks. The release includes a tech report, GitHub repository and online demo, and is currently trending on Hugging Face.

Dense 2B Transformer designed for local, on-device and resource-constrained deployment.
Claims SOTA among 2B-class open models and competitiveness with 4B-class models.
Benchmarks cover code reasoning, math, long context, tool use and agentic tasks.

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VendorsOpenBMB

ProductsMiniCPM5-2B MiniCPM5-1B

AI modelsMiniCPM5-2B MiniCPM5-1B

Tagsopenbmb minicpm5-2b small-language-model on-device gguf open-weights hugging-face

Full article1,446 words · extracted from huggingface.co · click to collapse

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<a href="https://arxiv.org/pdf/2506.07900" target="_blank">MiniCPM Tech Report</a> |

<a href="https://modelbest.feishu.cn/wiki/UtWxwcERfiRIpIkBOjuc3h9tn1D" target="_blank">MiniCPM Wiki(Chinese)</a> |

<a href="https://github.com/OpenBMB/MiniCPM" target="_blank">GitHub Repo</a> |

<a href="https://ultradata.openbmb.cn/" target="_blank">UltraData</a> |

<a href="https://huggingface.co/spaces/openbmb/MiniCPM5-2B-Demo" target="_blank">Online Demo</a>

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English |

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## Highlights

We are releasing **MiniCPM5-2B**, the second model in the **MiniCPM5** series, following [MiniCPM5-1B](https://huggingface.co/openbmb/MiniCPM5-1B). It is a dense 2B Transformer that scales up the same training recipe, built for on-device, local deployment, and resource-constrained scenarios, reaching 2B-class open-source SOTA.

🏆 **2B-class open-source SOTA**: compared with strong open-source models of similar size, MiniCPM5-2B achieves SOTA performance within this comparison set. It remains competitive with 4B-class models overall, while showing its advantages over models of comparable size in coding, mathematics, long-context understanding, tool use, and agentic tasks.

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<text x="40" y="28" class="title" text-anchor="start">Capability Radar by Dimension</text>

<text x="340.0" y="63.5" class="axis-label" text-anchor="middle">Code Reasoning</text>

<text x="472.7" y="111.8" class="axis-label" text-anchor="start">Math Reasoning</text>

<text x="543.4" y="234.1" class="axis-label" text-anchor="start">Instruction Following</text>

<text x="518.8" y="373.2" class="axis-label" text-anchor="start">General Knowledge</text>

<text x="410.6" y="464.0" class="axis-label" text-anchor="start">Long Context</text>

<text x="161.2" y="373.3" class="axis-label" text-anchor="end">Coding Agent</text>

<text x="136.6" y="234.1" class="axis-label" text-anchor="end">Search Agent</text>

<text x="207.3" y="111.8" class="axis-label" text-anchor="end">General Agent</text>

<text x="66" y="504" class="legend-label">MiniCPM5-2B</text>

<text x="376" y="504" class="legend-label">granite-4.2-3B</text>

Text extracted automatically; images, tables and formatting may be missing. Original: https://huggingface.co/openbmb/MiniCPM5-2B-GGUF