paligemma2-3b-pt-448
google/paligemma2-3b-pt-448
Tracked by OpenModelStats since September 6, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 6,903
- Total downloadsCumulative all-time download counter reported by the source platform.
- 454.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,616(increase)
- 0.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 55
- +1 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #1143 among tracked Image Text to Text models.
- #10,012
- 23(up 23 places)this week
- Parameters
- 3B
- Last source update
- Dec 5, 2024
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 73.5
- paligemma2-3b-pt-448 gained 1,616 downloads during the last seven tracked days.
- It moved from #1150 to #1143 among tracked Image Text to Text models this week.
Downloads over time
Daily gain between consecutive observationsLikes over time
Rank among tracked models
Lower is betterOverview
paligemma2-3b-pt-448 is a image text to text model published by google. OpenModelStats has tracked the model since Sep 6, 2026, most recently observing it Oct 6, 2026.
- Published
- Nov 21, 2024
- Last updated
- Dec 5, 2024
- Library
- transformers
- License
- gemma
- Task
- Image Text to Text
- Parameters
- 3,033,127,152
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 231
transformerssafetensorspaligemmaimage-text-to-textarxiv:2407.07726arxiv:2408.00118arxiv:2310.09199arxiv:2303.15343arxiv:1706.03762arxiv:2010.11929arxiv:2412.03555arxiv:2209.06794
Publisher
googleView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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