gemma-4-E2B-it-qat-GGUF
prithivMLmods/gemma-4-E2B-it-qat-GGUF
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,966
- Total downloadsCumulative all-time download counter reported by the source platform.
- 6,790
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +333(increase)
- 5.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2086 among tracked Image Text to Text models.
- #21,966
- 381(up 381 places)this week
- Parameters
- —
- Last source update
- Jun 7, 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.
- 51.4
- gemma-4-E2B-it-qat-GGUF gained 333 downloads during the last seven tracked days.
- It moved from #2104 to #2086 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-4-E2B-it-qat-GGUF is a image text to text model published by prithivMLmods. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 4, 2026.
- Published
- Jun 7, 2026
- Last updated
- Jun 7, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 48
transformersggufgemma4text-generation-inferenceQATq4_0llama-cppQuantization-Aware-Trainingimage-text-to-textenbase_model:google/gemma-4-E2B-it-qat-q4_0-unquantizedbase_model:quantized:google/gemma-4-E2B-it-qat-q4_0-unquantized
Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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