gemma-3n-E2B-it-bf16
mlx-community/gemma-3n-E2B-it-bf16
Tracked by OpenModelStats since September 27, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 49
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2,153
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +4(increase)
- 0.2%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 0
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #4960 among tracked Image Text to Text models.
- #54,350
- 454(down 454 places)this week
- Parameters
- 6B
- Last source update
- Jul 12, 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.
- 20.7
- gemma-3n-E2B-it-bf16 gained 4 downloads during the last seven tracked days.
- It moved from #4931 to #4960 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
gemma-3n-E2B-it-bf16 is a image text to text model published by mlx-community. OpenModelStats has tracked the model since Sep 27, 2026, most recently observing it Oct 4, 2026.
- Published
- Jun 26, 2025
- Last updated
- Jul 12, 2025
- Library
- transformers
- License
- gemma
- Task
- Image Text to Text
- Parameters
- 5,976,833,472
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 1
transformerssafetensorsgemma3nimage-text-to-textautomatic-speech-recognitionautomatic-speech-translationaudio-text-to-textvideo-text-to-textmlxconversationalbase_model:google/gemma-3n-E4B-itbase_model:finetune:google/gemma-3n-E4B-it
Model family
Based on base-model relationships reported by the source's metadata.
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