densenetblur121d.ra_in1k
A DenseNet image classification model. Pretrained on ImageNet-1k in timm by Ross Wightman using RandAugment RA recipe. Related to B recipe in ResNet Strikes Back.
Params
8.1 M
Context
—
Downloads 30d
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tracking started — chart appears after 7 days of snapshots (5 recorded)262 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 | 0.0 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
- 8.1 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2023-04-21
- Training datasets
- imagenet-1k
- Added to our catalog
- 2026-11-06
Compare with any image-classification model