mobilenetv3_small_100.lamb_in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in timm using recipe template described below.
Params
<0.1 M
Context
—
Downloads 30d
18.0 M
Likes
122
Download history
daily snapshots · 55 days
▲ 326 K in the last 30 days (1.8%)
19.5 M16.2 M
Aug 22Sep 1Sep 11Sep 20
19.5 M16.2 M
Jul 28Aug 15Sep 2Sep 20
Can you run it?
Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.
| File | Quant | Size | Est. VRAM | Verdict on RTX 4090 · 24 GB |
|---|---|---|---|---|
| model.safetensors | f32 | 0.0 GB | 0.5 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Parameters
- <0.1 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2022-12-16
- Training datasets
- imagenet-1k
- Added to our catalog
- 2026-07-28
Compare with any image-classification model
Popular comparisons
Appears in