timm / image-classification Open weights updated 1 year ago

convnextv2_tiny.fcmae_ft_in22k_in1k

Name: convnextv2_tiny.fcmae_ft_in22k_in1k
Author: timm

A ConvNeXt-V2 image classification model. Pretrained with a fully convolutional masked autoencoder framework (FCMAE) and fine-tuned on ImageNet-22k and then ImageNet-1k.

Params

30 M

Context

—

Downloads 30d

203 K

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Commercial use: not allowed · cc-by-nc-4.0 Not gated SAFETENSORS View on Hugging Face ↗

Download history

daily snapshots · 76 days

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227 K203 K

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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: 30 M
Tensor type: F32
Licence: cc-by-nc-4.0
First seen on the Hub: 2023-01-05
Training datasets: imagenet-1k, imagenet-1k
Added to our catalog: 2026-08-27

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