efficientvit_l2.r288_in1k vs convnextv2_large.fcmae_ft_in22k_in1k_384
Specs, VRAM requirements and download trends — updated 10 November 2026.
timm · A · Open weights
Params
64 M
Context
—
30d
1.3 M
apache-2.0 · commercial OK
timm · B · Open weights
Params
200 M
Context
—
30d
327 K
cc-by-nc-4.0 · non-commercial
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | efficientvit_l2.r288_in1k | convnextv2_large.fcmae_ft_in22k_in1k_384 |
|---|---|---|
| Parameters | 64 M | 200 M |
| Architecture | — | — |
| Context length | — | — |
| Licence | apache-2.0 | cc-by-nc-4.0 |
| Commercial use | Allowed | Not allowed |
| Languages | — | — |
| Downloads 30d | 1,283,864 | 327,410 |
| Downloads all time | 1.3 M | 916 K |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-11-21 | 2023-01-05 |
Download trend
Daily snapshots, last 7 days (4 Nov – 10 Nov)
1.3 M197 K
efficientvit_l2.r288_in1k
convnextv2_large.fcmae_ft_in22k_in1k_384
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
efficientvit_l2.r288_in1k · fp16
0.8 GB / 24 GB
convnextv2_large.fcmae_ft_in22k_in1k_384 · fp16
1.4 GB / 24 GB
Adjacent comparisons
vit-base-patch16-224 vs efficientvit_l2.r288_in1k
Gender-Classifier-Mini vs efficientvit_l2.r288_in1k
vit-base-patch16-224 vs convnextv2_large.fcmae_ft_in22k_in1k_384
nsfw_image_detection vs efficientvit_l2.r288_in1k
tf_efficientnetv2_s.in21k_ft_in1k vs efficientvit_l2.r288_in1k
Gender-Classifier-Mini vs convnextv2_large.fcmae_ft_in22k_in1k_384