resnet-18
ResNet model trained on imagenet-1k. It was introduced in the paper Deep Residual Learning for Image Recognition and first released in this repository.
Params
12 M
Context
—
Downloads 30d
728 K
Likes
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Download history
daily snapshots · 21 days728 K222 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 | 0.6 GB | ✅ Runs comfortably |
Estimate: file size × 1.1 + KV cache at 8K + 0.5 GB overhead. Not a benchmark — how we calculate this.
Specifications
- Architecture
- ResNetForImageClassification
- Parameters
- 12 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2022-03-16
- Training datasets
- imagenet-1k
- Added to our catalog
- 2026-10-04
Compare with any image-classification model