gemma-3n-E4B-it
unsloth/gemma-3n-E4B-it
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 140.3K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 866.7K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +39.3K(increase)
- 5.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 10
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #317 among tracked Image Text to Text models.
- #2,002
- 23(down 23 places)this week
- Parameters
- 8.4B
- Last source update
- Jul 11, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 70.4
- gemma-3n-E4B-it gained 39.3K downloads during the last seven tracked days.
- It moved from #314 to #317 among tracked Image Text to Text models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
gemma-3n-E4B-it is a image text to text model published by unsloth. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Jun 26, 2025
- Last updated
- Jul 11, 2025
- Library
- transformers
- License
- gemma
- Task
- Image Text to Text
- Parameters
- 8,387,373,392
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 5,611
transformerssafetensorsgemma3nimage-text-to-textgemma3unslothgemmagoogleconversationalenarxiv:1905.07830arxiv:1905.10044
Publisher
unslothView publisher statistics →Derived from google/gemma-3n-E4B-it (reported by the source; parent not yet tracked).
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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