timm / image-classification updated 1 year ago

vit_base_patch8_224.augreg2_in21k_ft_in1k

A Vision Transformer (ViT) image classification model. Trained on ImageNet-21k by paper authors and (re) fine-tuned on ImageNet-1k with additional augmentation and regularization by Ross Wightman.

Params
90 M
Context
Downloads 30d
679 K
Likes
4
Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 10 days
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Can you run it?

Estimated VRAM at 8K context unless noted. Pick your hardware to see the verdict per quantization.

FileQuantSizeEst. VRAMVerdict on RTX 4090 · 24 GB
model.safetensors f32 0.3 GB 0.9 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
90 M
Tensor type
F32
Licence
apache-2.0
First seen on the Hub
2022-12-22
Training datasets
imagenet-1k, imagenet-21k
Added to our catalog
2026-07-28