DeepSeek-OCR-2
deepseek-ai/DeepSeek-OCR-2
Tracked by OpenModelStats since August 24, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 794K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 14.4M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +230.9K(increase)
- 1.7%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1,108
- +11 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #86 among tracked Image Text to Text models.
- #498
- 16(down 16 places)this week
- Parameters
- 3.4B
- Last source update
- Feb 3, 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.
- 89.8
- DeepSeek-OCR-2 gained 230.9K downloads during the last seven tracked days.
- It moved from #81 to #86 among tracked Image Text to Text models this week.
- The model earned 11 new likes over the last seven tracked days.
Downloads over time
Cumulative total downloads observed by OpenModelStatsLikes over time
Rank among tracked models
Lower is betterOverview
DeepSeek-OCR-2 is a image text to text model published by deepseek-ai. OpenModelStats has tracked the model since Aug 24, 2026, most recently observing it Oct 3, 2026.
- Published
- Jan 27, 2026
- Last updated
- Feb 3, 2026
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 3,389,119,360
- Spaces
- —
- Derivative models
- 5
- Velocity 7D/day
- 33K
transformerssafetensorsdeepseek_vl_v2feature-extractiondeepseekvision-languageocrcustom_codeimage-text-to-textmultilingualarxiv:2601.20552arxiv:2510.18234
Model family
Based on base-model relationships reported by the source's metadata.
Derivative models
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