MiniCPM-V-2
openbmb/MiniCPM-V-2
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 25.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 708.5K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 501
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4 among tracked Visual Question Answering models.
- #5,055
- –this week
- Parameters
- 3.4B
- Last source update
- Jan 15, 2025
Downloads over time
Cumulative total downloads observed by OpenModelStatsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
MiniCPM-V-2 is a visual question answering model published by openbmb. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 36 min ago.
- Published
- Apr 9, 2024
- Last updated
- Jan 15, 2025
- Library
- transformers
- License
- —
- Task
- Visual Question Answering
- Parameters
- 3,434,965,792
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
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transformerssafetensorsminicpmvfeature-extractionvisual-question-answeringcustom_codeenzhdataset:HaoyeZhang/RLHF-V-Datasetdataset:Yirany/UniMM-Chatdataset:HuggingFaceM4/VQAv2dataset:liuhaotian/LLaVA-Instruct-150K
Publisher
openbmbView publisher statistics →Similar models
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