vit_base_patch16_224.augreg2_in21k_ft_in1k vs Gender-Classifier-Mini
Specs, VRAM requirements and download trends — updated 10 November 2026.
timm · A · Open weights
Params
90 M
Context
—
30d
402 K
apache-2.0 · commercial OK
prithivMLmods · B · Open weights
Params
93 M
Context
—
30d
8.1 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | vit_base_patch16_224.augreg2_in21k_ft_in1k | Gender-Classifier-Mini |
|---|---|---|
| Parameters | 90 M | 93 M |
| Architecture | — | SiglipForImageClassification |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | 1 |
| Downloads 30d | 402,013 | 8,079,622 |
| Downloads all time | 18.3 M | 10.9 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-12-22 | 2025-03-23 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
10.6 M377 K
vit_base_patch16_224.augreg2_in21k_ft_in1k
Gender-Classifier-Mini
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
vit_base_patch16_224.augreg2_in21k_ft_in1k · fp16
0.9 GB / 24 GB
Gender-Classifier-Mini · fp16
1.7 GB / 24 GB