tf_efficientnetv2_s.in21k_ft_in1k vs rorshark-vit-base
Specs, VRAM requirements and download trends — updated 10 November 2026.
timm · A · Open weights
Params
20 M
Context
—
30d
3.6 M
apache-2.0 · commercial OK
amunchet · B · Open weights
Params
90 M
Context
—
30d
860 K
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | tf_efficientnetv2_s.in21k_ft_in1k | rorshark-vit-base |
|---|---|---|
| Parameters | 20 M | 90 M |
| Architecture | — | ViTForImageClassification |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 3,649,958 | 859,746 |
| Downloads all time | 17.4 M | 22.8 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2022-12-13 | 2023-11-18 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
3.6 M775 K
tf_efficientnetv2_s.in21k_ft_in1k
rorshark-vit-base
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
tf_efficientnetv2_s.in21k_ft_in1k · fp16
0.6 GB / 24 GB
rorshark-vit-base · fp16
0.9 GB / 24 GB
Adjacent comparisons
vit-base-patch16-224 vs rorshark-vit-base
vit-base-patch16-224 vs tf_efficientnetv2_s.in21k_ft_in1k
rorshark-vit-base vs Gender-Classifier-Mini
tf_efficientnetv2_s.in21k_ft_in1k vs Gender-Classifier-Mini
mobilenetv3_small_100.lamb_in1k vs tf_efficientnetv2_s.in21k_ft_in1k
resnet50.a1_in1k vs tf_efficientnetv2_s.in21k_ft_in1k