wide_resnet50_2.racm_in1k vs efficientvit_l2.r288_in1k
Specs, VRAM requirements and download trends — updated 10 November 2026.
timm · A · Open weights
Params
70 M
Context
—
30d
795 K
apache-2.0 · commercial OK
timm · B · Open weights
Params
64 M
Context
—
30d
1.3 M
apache-2.0 · commercial OK
Specification comparison
Differences are highlighted; identical values are muted.
| Specification | wide_resnet50_2.racm_in1k | efficientvit_l2.r288_in1k |
|---|---|---|
| Parameters | 70 M | 64 M |
| Architecture | — | — |
| Context length | — | — |
| Licence | apache-2.0 | apache-2.0 |
| Commercial use | Allowed | Allowed |
| Languages | — | — |
| Downloads 30d | 794,575 | 1,283,864 |
| Downloads all time | 9.3 M | 1.3 M |
| Quantizations on the Hub | SAFETENSORS | SAFETENSORS |
| Gated | No | No |
| First seen on the Hub | 2023-04-05 | 2023-11-21 |
Download trend
Daily snapshots, last 90 days (13 Aug – 10 Nov)
1.3 M329 K
wide_resnet50_2.racm_in1k
efficientvit_l2.r288_in1k
VRAM side by side
On RTX 4090 · 24 GB · 8K context unless noted
wide_resnet50_2.racm_in1k · fp16
0.8 GB / 24 GB
efficientvit_l2.r288_in1k · fp16
0.8 GB / 24 GB
Adjacent comparisons
vit-base-patch16-224 vs efficientvit_l2.r288_in1k
vit-base-patch16-224 vs wide_resnet50_2.racm_in1k
Gender-Classifier-Mini vs efficientvit_l2.r288_in1k
Gender-Classifier-Mini vs wide_resnet50_2.racm_in1k
nsfw_image_detection vs efficientvit_l2.r288_in1k
tf_efficientnetv2_s.in21k_ft_in1k vs efficientvit_l2.r288_in1k