MobileNet-v3-Small
qualcomm/MobileNet-v3-Small
Tracked by OpenModelStats since September 1, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 541
- Total downloadsCumulative all-time download counter reported by the source platform.
- 3,907
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +197(increase)
- 5.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 6
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #825 among tracked Image Classification models.
- #39,728
- 268(down 268 places)this week
- Parameters
- —
- Last source update
- Sep 23, 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.
- 46.7
- MobileNet-v3-Small gained 197 downloads during the last seven tracked days.
- It moved from #827 to #825 among tracked Image Classification models this week.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
MobileNet-v3-Small is a image classification model published by qualcomm. OpenModelStats has tracked the model since Sep 1, 2026, most recently observing it Sep 24, 2026.
- Published
- Feb 25, 2024
- Last updated
- Sep 23, 2026
- Library
- pytorch
- License
- bsd-3-clause
- Task
- Image Classification
- Parameters
- —
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 28
pytorchbackbonebu_autoreal_timeandroidimage-classificationarxiv:1905.02244license:bsd-3-clauseregion:us
Publisher
qualcommView publisher statistics →Similar models
| Model | DL 30D |
|---|---|
| mobilenetv3_small_100.lamb_in1ktimm | 21.3M |
| vit-base-patch16-224google | 10M |
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| resnet18.a1_in1ktimm | 2M |
| tf_efficientnetv2_s.in21k_ft_in1ktimm | 1.8M |
| resnet50.a1_in1ktimm | 1.6M |