medgemma-1.5-4b-it
google/medgemma-1.5-4b-it
Tracked by OpenModelStats since September 8, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 231.8K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2.3M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +42.8K(increase)
- 2.0%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 978
- +35 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #227 among tracked Image Text to Text models.
- #1,384
- 6(down 6 places)this week
- Parameters
- 4.3B
- Last source update
- Apr 13, 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.
- 89.5
- medgemma-1.5-4b-it gained 42.8K downloads during the last seven tracked days.
- It moved from #225 to #227 among tracked Image Text to Text models this week.
- The model earned 35 new likes over the last seven tracked days.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
medgemma-1.5-4b-it is a image text to text model published by google. OpenModelStats has tracked the model since Sep 8, 2026, most recently observing it 8h ago.
- Published
- Jan 7, 2026
- Last updated
- Apr 13, 2026
- Library
- transformers
- License
- other
- Task
- Image Text to Text
- Parameters
- 4,300,079,472
- Spaces
- —
- Derivative models
- 2
- Velocity 7D/day
- 6,109
transformerssafetensorsgemma3image-text-to-textmedicalradiologyclinical-reasoningdermatologypathologyophthalmologychest-x-rayconversational
Publisher
googleView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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