timm / image-classification updated 1 year ago

tf_efficientnetv2_s.in21k_ft_in1k

Name: tf_efficientnetv2_s.in21k_ft_in1k
Author: timm

A EfficientNet-v2 image classification model. Trained on ImageNet-21k and fine-tuned on ImageNet-1k in Tensorflow by paper authors, ported to PyTorch by Ross Wightman.

Params

20 M

Context

—

Downloads 30d

1.8 M

Likes

Commercial use: allowed apache-2.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 55 days

▲ 240 K in the last 30 days (11.9%)

2.4 M1.4 M

Jul 28Aug 15Sep 2Sep 20

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: 2022-12-13
Training datasets: imagenet-1k, imagenet-21k
Added to our catalog: 2026-07-28

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