mobilenetv3_small_100.lamb_in1k
A MobileNet-v3 image classification model. Trained on ImageNet-1k in timm using recipe template described below.
Params
0 M
Context
—
Downloads 30d
18.5 M
Likes
100
Download history
daily snapshots · 10 days19.1 M18.1 M
Jul 28Jul 31Aug 3Aug 6
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 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
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