Infinity-Parser2-Flash
infly/Infinity-Parser2-Flash
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 18.6K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 118.7K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,951(increase)
- 1.8%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 41
- +1 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #731 among tracked Image Text to Text models.
- #5,828
- 156(down 156 places)this week
- Parameters
- 2.2B
- Last source update
- Jul 20, 2026
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 79.8
- Infinity-Parser2-Flash gained 1,951 downloads during the last seven tracked days.
- It moved from #722 to #731 among tracked Image Text to Text models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Infinity-Parser2-Flash is a image text to text model published by infly. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it 24h ago.
- Published
- Feb 27, 2026
- Last updated
- Jul 20, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 2,213,241,664
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 279
transformerssafetensorsqwen3_5image-text-to-textocrpdfdocument-parsingdocument-understandinglayout-analysistable-recognitionchart-parsingformula-recognition
Publisher
inflyView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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