Gemma-4-31B-JANG_4M-CRACK
dealignai/Gemma-4-31B-JANG_4M-CRACK
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 21.3K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 354.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- —
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
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- LikesCommunity likes reported by the source platform.
- 1,707
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #687 among tracked Image Text to Text models.
- #5,434
- 4198(down 4198 places)this week
- Parameters
- 6.4B
- Last source update
- Apr 25, 2026
- It moved from #239 to #687 among tracked Image Text to Text models this week.
Downloads over time
Daily gain between consecutive observationsNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Likes over time
Not enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Rank among tracked models
Lower is betterNot enough tracked history yet for a chart.
OpenModelStats began tracking this model on 2026-08-24. Charts appear as daily observations accumulate.
Overview
Gemma-4-31B-JANG_4M-CRACK is a image text to text model published by dealignai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 3h ago.
- Published
- Apr 4, 2026
- Last updated
- Apr 25, 2026
- Library
- mlx
- License
- gemma
- Task
- Image Text to Text
- Parameters
- 6,433,044,332
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- —
mlxsafetensorsgemma4abliterateduncensoredcrackjangimage-text-to-textconversationallicense:gemmaregion:us
Publisher
dealignaiView publisher statistics →Similar models
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