Gemma-4-31B-it-DECKARD-HERETIC-Uncensored-NVFP4
AEON-7/Gemma-4-31B-it-DECKARD-HERETIC-Uncensored-NVFP4
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 7,005
- Total downloadsCumulative all-time download counter reported by the source platform.
- 27.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +119(increase)
- 0.6%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 14
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #2524 among tracked Text Generation models.
- #9,935
- 24(down 24 places)this week
- Parameters
- 16.6B
- Last source update
- Oct 6, 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.
- 33.5
- Gemma-4-31B-it-DECKARD-HERETIC-Uncensored-NVFP4 gained 119 downloads during the last seven tracked days.
- It moved from #2531 to #2524 among tracked Text Generation models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Gemma-4-31B-it-DECKARD-HERETIC-Uncensored-NVFP4 is a text generation model published by AEON-7. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 12h ago.
- Published
- Apr 12, 2026
- Last updated
- Oct 6, 2026
- Library
- transformers
- License
- gemma
- Task
- Text Generation
- Parameters
- 16,631,588,716
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 17
transformerssafetensorsgemma4image-text-to-text31b4-bitaarch64abliteratedactivation-awareaeonaeon-7agentic
Publisher
AEON-7View publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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