convnext_tiny.fb_in22k_ft_in1k
A ConvNeXt image classification model. Pretrained on ImageNet-22k and fine-tuned on ImageNet-1k by paper authors.
Params
29 M
Context
—
Downloads 30d
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daily snapshots · 12 days279 K210 K
Oct 13Oct 17Oct 21Oct 24
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
- 29 M
- Tensor type
- F32
- Licence
- apache-2.0
- First seen on the Hub
- 2022-12-13
- Training datasets
- imagenet-1k, imagenet-22k
- Added to our catalog
- 2026-10-13
Compare with any image-classification model