Hulu-Med-235A22-i1-GGUF
mradermacher/Hulu-Med-235A22-i1-GGUF
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 866
- Total downloadsCumulative all-time download counter reported by the source platform.
- 13.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +85(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.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #186 among tracked Image to Text models.
- #33,032
- 138(down 138 places)this week
- Parameters
- —
- Last source update
- Mar 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.
- 31.5
- Hulu-Med-235A22-i1-GGUF gained 85 downloads during the last seven tracked days.
- It moved from #185 to #186 among tracked Image to Text models this week.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
Hulu-Med-235A22-i1-GGUF is a image to text model published by mradermacher. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Sep 26, 2026.
- Published
- Mar 12, 2026
- Last updated
- Mar 17, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image to Text
- Parameters
- —
- Spaces
- 0
- Derivative models
- —
- Velocity 7D/day
- 12
transformersggufmedicalmultimodalvision-language-modelimage-to-textvideo-understanding3d-understandingqwenpytorchenbase_model:ZJU-AI4H/Hulu-Med-235A22
Publisher
mradermacherView publisher statistics →Derived from ZJU-AI4H/Hulu-Med-235A22 (reported by the source; parent not yet tracked).
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