MonkeyOCRv2-B-Parsing
zenosai/MonkeyOCRv2-B-Parsing
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 2,195
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2,642
- 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.
- —
- LikesCommunity likes reported by the source platform.
- 14
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1741 among tracked Image Text to Text models.
- #16,608
- –this week
- Parameters
- 878M
- Last source update
- Aug 12, 2026
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
MonkeyOCRv2-B-Parsing is a image text to text model published by zenosai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 27 min ago.
- Published
- Jul 11, 2026
- Last updated
- Aug 12, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 877,939,456
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
transformerssafetensorsmonkeyocrv2text-generationimage-text-to-textconversationalcustom_codedataset:zenosai/MonkeyDocv2arxiv:2607.11562arxiv:2404.10690arxiv:2403.04473arxiv:2405.06706
Publisher
zenosaiView publisher statistics →Similar models
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