convnext_small.fb_in22k
timm/convnext_small.fb_in22k
Tracked by OpenModelStats since September 7, 2026View on Hugging Face ↗
- Downloads 30DRolling recent-window download count as reported by the source platform.
- 41.5K
- Total downloadsCumulative all-time download counter reported by the source platform.
- 2.1M
- Gained 7DIncrease in cumulative total downloads between OpenModelStats' own observations seven days apart.
- +8,355(increase)
- 0.4%(up) vs baseline
- Gained 30DIncrease in cumulative total downloads between OpenModelStats' own observations roughly thirty days apart.
- —
- LikesCommunity likes reported by the source platform.
- 1
- +0 in 7D
- Rank · tracked modelsPosition among all eligible models tracked by OpenModelStats, ordered by recent downloads. #119 among tracked Image Classification models.
- #4,171
- 7(up 7 places)this week
- Parameters
- 66.3M
- Last source update
- Jan 21, 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.
- 58.0
- convnext_small.fb_in22k gained 8,355 downloads during the last seven tracked days.
Downloads over time
Rolling recent-window downloads as reportedLikes over time
Rank among tracked models
Lower is betterOverview
convnext_small.fb_in22k is a image classification model published by timm. OpenModelStats has tracked the model since Sep 7, 2026, most recently observing it Oct 6, 2026.
- Published
- Dec 13, 2022
- Last updated
- Jan 21, 2025
- Library
- timm
- License
- apache-2.0
- Task
- Image Classification
- Parameters
- 66,250,417
- Spaces
- —
- Derivative models
- —
- Velocity 7D/day
- 1,194
timmpytorchsafetensorsimage-classificationtransformersdataset:imagenet-22karxiv:2201.03545license:apache-2.0region:us
Publisher
timmView publisher statistics →Similar models
| Model | DL 30D |
|---|---|
| swin_small_patch4_window7_224.ms_in22ktimm | 1,269 |
| tf_efficientnet_b7.ns_jft_in1ktimm | 7,027 |
| resnet200d.ra2_in1ktimm | 2,549 |
| nest_base_jx.goog_in1ktimm | 2,310 |
| resnetv2_50x1_bit.goog_in21ktimm | 2,765 |
| efficientvit_l2.r384_in1ktimm | 2,155 |