regnety_032.ra_in1k
A RegNetY-3.2GF image classification model. Trained on ImageNet-1k by Ross Wightman in timm.
Params
20 M
Context
—
Downloads 30d
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tracking started — chart appears after 7 days of snapshots (1 recorded)193 K downloads in the last 30 days
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 | 0.1 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
- 20 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2023-03-21
- Training datasets
- imagenet-1k
- Added to our catalog
- 2026-10-25
Compare with any image-classification model