resnet34.a1_in1k
This model features: ReLU activations single layer 7x7 convolution with pooling 1x1 convolution shortcut downsample
Params
20 M
Context
—
Downloads 30d
495 K
Likes
2
Download history
daily snapshots · 10 days502 K465 K
Jul 28Jul 31Aug 3Aug 6
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
- 2023-04-05
- Training datasets
- undisclosed
- Added to our catalog
- 2026-07-28
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