llava-med-v1.5-mistral-7b
microsoft/llava-med-v1.5-mistral-7b
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 9,873
- Total downloadsCumulative all-time download counter reported by the source platform.
- 664.9K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +1,889(increase)
- 0.3%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 131
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #983 among tracked Image Text to Text models.
- #8,252
- 32(up 32 places)this week
- Parameters
- 7.6B
- Last source update
- Nov 24, 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.
- 53.0
- llava-med-v1.5-mistral-7b gained 1,889 downloads during the last seven tracked days.
- It moved from #982 to #983 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
llava-med-v1.5-mistral-7b is a image text to text model published by microsoft. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it 28h ago.
- Published
- May 14, 2024
- Last updated
- Nov 24, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 7,566,219,264
- Spaces
- —
- Derivative models
- 1
- Velocity 7D/day
- 270
transformerssafetensorsllava_mistraltext-generationimage-text-to-textmedicalvisionconversationalarxiv:2306.00890license:apache-2.0endpoints_compatibleregion:us
Publisher
microsoftView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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