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
746 K
Likes
10
Download history
daily snapshots · 55 days
▲ 359 K in the last 30 days (32.5%)
1.1 M546 K
Aug 22Sep 1Sep 11Sep 20
1.3 M546 K
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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