gemma-4-26B-A4B-it-GGUF
unsloth/gemma-4-26B-A4B-it-GGUF
Image Text to TextLicense: apache-2.0
Tracked by OpenModelStats since August 30, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 543.6K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 11.1M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +114.6K(increase)
- 1.1%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1,166
- +20 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #117 among tracked Image Text to Text models.
- #718
- 1(down 1 places)this week
- Parameters
- —
- Last source update
- Jul 17, 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.
- 87.6
- gemma-4-26B-A4B-it-GGUF gained 114.6K downloads during the last seven tracked days.
- The model earned 20 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
gemma-4-26B-A4B-it-GGUF is a image text to text model published by unsloth. OpenModelStats has tracked the model since Aug 30, 2026, most recently observing it Sep 29, 2026.
- Published
- Apr 1, 2026
- Last updated
- Jul 17, 2026
- Library
- —
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- —
- Spaces
- 8
- Derivative models
- 1
- Velocity 7D/day
- 16.4K
ggufgemma4unslothgemmagoogleimage-text-to-textbase_model:google/gemma-4-26B-A4B-itbase_model:quantized:google/gemma-4-26B-A4B-itlicense:apache-2.0endpoints_compatibleregion:usimatrix
Publisher
unslothView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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