Searching for Better ViT Baselines - a timm Collection

timm 's Collections

timm RADIO v3/v4 ViT Encoders

timm multi-label image datasets

timm DeepSeek-V4 ViT Encoders

timm Sapiens2 ViT Encoders

timm Qwen3 ViT Encoders

Perception Encoder

Searching for Better ViT Baselines

MobileNetV4 pretrained weights

timm Top-20 ImageNet-1k Models

timm Top-20 Fastest Models

timm ImageNet-12k Models

timm Takes on the Classics

Fastest timm models > 75.3% IN-1k Top-1 (Original ResNet-50)

Fastest timm models > 80% Top-1 ImageNet-1k

Fastest timm models > 83% ImageNet-1k Top-1

Fastest timm models > 86% ImageNet-1k Top-1

Fastest timm models > 88% ImageNet-1k Top-1

All the ImageNets

Fine-Tune Image Classification Benchmark Datasets

timm tiny test models

Searching for Better ViT Baselines

updated Jan 28

Exploring ViT hparams and model shapes for the GPU poor (between tiny and base).