Fimbulvetr-11B-Ultra-Quality-plus-imatrix-GGUF
DavidAU/Fimbulvetr-11B-Ultra-Quality-plus-imatrix-GGUF
Text GenerationLicense: apache-2.0
Tracked by OpenModelStats since October 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,376
- Total downloadsCumulative all-time download counter reported by the source platform.
- 20.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +134(increase)
- 0.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 37
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #7881 among tracked Text Generation models.
- #30,242
- 115(down 115 places)this week
- Parameters
- —
- Last source update
- Jul 28, 2025
- MomentumOpenModelStats' composite rising-model signal (0–100): a percentile blend of absolute 7-day download gains, capped percentage growth, and likes gained. See Methodology.
- 34.9
- Fimbulvetr-11B-Ultra-Quality-plus-imatrix-GGUF gained 134 downloads during the last seven tracked days.
- It moved from #7834 to #7881 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
Fimbulvetr-11B-Ultra-Quality-plus-imatrix-GGUF is a text generation model published by DavidAU. OpenModelStats has tracked the model since Oct 7, 2026, most recently observing it Sep 26, 2026.
- Published
- May 31, 2024
- Last updated
- Jul 28, 2025
- Library
- —
- License
- apache-2.0
- Task
- Text Generation
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 19
ggufroleplaywritingstorynsfwcreative32 bit upscaletext-generationenlicense:apache-2.0endpoints_compatibleregion:us
Publisher
DavidAUView publisher statistics →Similar models
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