mask2former-swin-large-ade-semantic vs mask2former-swin-large-cityscapes-semantic

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

facebook · A · Open weights
Params
220 M
Context
—
30d
336 K
facebook · B · Open weights
Params
220 M
Context
—
30d
230 K

Specification comparison

Differences are highlighted; identical values are muted.

Specification mask2former-swin-large-ade-semantic mask2former-swin-large-cityscapes-semantic
Parameters 220 M 220 M
Architecture Mask2FormerForUniversalSegmentation Mask2FormerForUniversalSegmentation
Context length — —
Licence other other
Commercial use Unknown Unknown
Languages — —
Downloads 30d 335,778 229,840
Downloads all time 5.3 M 11.1 M
Quantizations on the Hub SAFETENSORS SAFETENSORS
Gated No No
First seen on the Hub 2023-01-05 2023-01-05

Download trend

Daily snapshots, last 90 days (13 Aug – 10 Nov)

520 K230 K
mask2former-swin-large-ade-semantic mask2former-swin-large-cityscapes-semantic A overtook B on 18 Oct

VRAM side by side

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

mask2former-swin-large-ade-semantic · fp16 1.5 GB / 24 GB
✅ Runs comfortably
mask2former-swin-large-cityscapes-semantic · fp16 1.5 GB / 24 GB
✅ Runs comfortably

Adjacent comparisons