Qwen3-VL-2B-Thinking
Qwen/Qwen3-VL-2B-Thinking
Tracked by OpenModelStats since September 3, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 113.7K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 747.6K
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +36.4K(increase)
- 5.5%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 117
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #351 among tracked Image Text to Text models.
- #2,285
- 23(up 23 places)this week
- Parameters
- 2.1B
- Last source update
- Oct 20, 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.
- 70.6
- Qwen3-VL-2B-Thinking gained 36.4K downloads during the last seven tracked days.
- It moved from #355 to #351 among tracked Image Text to Text models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
Qwen3-VL-2B-Thinking is a image text to text model published by Qwen. OpenModelStats has tracked the model since Sep 3, 2026, most recently observing it Oct 3, 2026.
- Published
- Oct 19, 2025
- Last updated
- Oct 20, 2025
- Library
- transformers
- License
- apache-2.0
- Task
- Image Text to Text
- Parameters
- 2,127,532,032
- Spaces
- —
- Derivative models
- 2
- Velocity 7D/day
- 5,201
transformerssafetensorsqwen3_vlimage-text-to-textconversationalarxiv:2505.09388arxiv:2502.13923arxiv:2409.12191arxiv:2308.12966license:apache-2.0endpoints_compatibleregion:us
Publisher
QwenView publisher statistics →Model family
Based on base-model relationships reported by the source's metadata.
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