wide_resnet50_2.racm_in1k
This model features: ReLU activations single layer 7x7 convolution with pooling 1x1 convolution shortcut downsample
Params
70 M
Context
—
Downloads 30d
387 K
Likes
2
Download history
daily snapshots · 55 days
▲ 91 K in the last 30 days (19.0%)
560 K387 K
Aug 22Sep 1Sep 11Sep 20
560 K377 K
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 | 0.3 GB | 0.8 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
- 70 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2023-04-05
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
Compare with any image-classification model