MagenticBrain-GGUF
devehz/MagenticBrain-GGUF
Tracked by OpenModelStats since September 29, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 1,379
- Total downloadsCumulative all-time download counter reported by the source platform.
- 5,661
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +131(increase)
- 2.5%(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. #7547 among tracked Text Generation models.
- #29,126
- 18(down 18 places)this week
- Parameters
- —
- Last source update
- Aug 13, 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.
- 40.1
- MagenticBrain-GGUF gained 131 downloads during the last seven tracked days.
- It moved from #7531 to #7547 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
MagenticBrain-GGUF is a text generation model published by devehz. OpenModelStats has tracked the model since Sep 29, 2026, most recently observing it Oct 5, 2026.
- Published
- Aug 3, 2026
- Last updated
- Aug 13, 2026
- Library
- llama.cpp
- License
- mit
- Task
- Text Generation
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 19
llama.cppggufquantizedqwen3agentstext-generationbase_model:microsoft/MagenticBrainbase_model:quantized:microsoft/MagenticBrainlicense:mitendpoints_compatibleregion:usconversational
Publisher
devehzView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
Base model
Sibling models
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