Gemma-SEA-LION-v4.5-E2B-IT
aisingapore/Gemma-SEA-LION-v4.5-E2B-IT
Tracked by OpenModelStats since September 29, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,750
- Total downloadsCumulative all-time download counter reported by the source platform.
- 14.3K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +472(increase)
- 3.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 17
- +1 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #174 among tracked Any to Any models.
- #27,021
- 92(down 92 places)this week
- Parameters
- 5.1B
- Last source update
- Aug 24, 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.
- 73.5
- Gemma-SEA-LION-v4.5-E2B-IT gained 472 downloads during the last seven tracked days.
- It moved from #172 to #174 among tracked Any to Any models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Gemma-SEA-LION-v4.5-E2B-IT is a any to any model published by aisingapore. OpenModelStats has tracked the model since Sep 29, 2026, most recently observing it Oct 6, 2026.
- Published
- May 18, 2026
- Last updated
- Aug 24, 2026
- Library
- transformers
- License
- mit
- Task
- Any to Any
- Parameters
- 5,123,178,051
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 67
transformerssafetensorsgemma4image-text-to-textany-to-anyenzhviidthfilta
Publisher
aisingaporeView publisher statistics →Derived from google/gemma-4-E2B-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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