efficientnet_b0.ra_in1k
A EfficientNet image classification model. Trained on ImageNet-1k in timm using recipe template described below.
Params
10 M
Context
—
Downloads 30d
576 K
Likes
14
Download history
daily snapshots · 106 days
▲ 413 K in the last 30 days (41.8%)
961 K473 K
Oct 12Oct 22Nov 1Nov 10
1.2 M473 K
Aug 13Sep 12Oct 12Nov 10
1.3 M473 K
Jul 28Sep 1Oct 6Nov 10
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
- 10 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2022-12-12
- Training datasets
- imagenet-1k
- Added to our catalog
- 2026-07-28
Compare with any image-classification model