resnet18.a3_in1k
This model features: ReLU activations single layer 7x7 convolution with pooling 1x1 convolution shortcut downsample
Params
10 M
Context
—
Downloads 30d
231 K
Likes
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Download history
daily snapshots · 102 days
▲ 15 K in the last 30 days (7.2%)
253 K207 K
Oct 12Oct 22Nov 1Nov 10
1.8 M195 K
Aug 13Sep 12Oct 12Nov 10
1.8 M195 K
Aug 1Sep 4Oct 8Nov 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 | 0.6 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
- 2023-04-05
- Training datasets
- undisclosed
- Added to our catalog
- 2026-08-01
Compare with any image-classification model