clipseg-rd64-refined vs mask2former-swin-large-ade-semantic

Specs, VRAM requirements and download trends — updated 6 August 2026.

CIDAS · A
Params
150 M
Context
30d
1.1 M
apache-2.0 · commercial OK
facebook · B
Params
220 M
Context
30d
625 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification clipseg-rd64-refined mask2former-swin-large-ade-semantic
Parameters 150 M 220 M
Architecture CLIPSegForImageSegmentation Mask2FormerForUniversalSegmentation
Context length
Licence apache-2.0 other
Commercial use Allowed Unknown
Languages
Downloads 30d 1,104,763 624,580
Downloads all time 150.4 M 4.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2022-11-01 2023-01-05

Download trend

Daily snapshots, last 10 days (28 Jul – 6 Aug)

1.1 M621 K
clipseg-rd64-refined mask2former-swin-large-ade-semantic

VRAM side by side

On RTX 4090 · 24 GB · 8K context unless noted

clipseg-rd64-refined · fp16 1.2 GB / 24 GB
✅ Runs comfortably
mask2former-swin-large-ade-semantic · fp16 1.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons