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Model Merging on Sustainability to large-scale tasks 4 tasks
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98.3
Average Accuracy
DOGE AM
84.884
88.367
91.85
95.333
Aug 5, 2025
Average Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Average Accuracy
DOGE AM
Backbone=ViT-B/32, Met...
2025.08
98.3
Layer-wise AdaMerging
Backbone=ViT-B/32, Met...
2025.08
96
TSV-M
Backbone=ViT-B/32, Met...
2025.08
95.9
RegMean++
Backbone=ViT-B/32, Met...
2025.08
95.6
RegMean
Backbone=ViT-B/32, Met...
2025.08
95.5
DOGE TA
Backbone=ViT-B/32, Met...
2025.08
93.9
Iso-C
Backbone=ViT-B/32, Met...
2025.08
93.7
Iso-CTS
Backbone=ViT-B/32, Met...
2025.08
93.7
Fisher Merging
Backbone=ViT-B/32, Met...
2025.08
90.2
Task Arithmetic
Backbone=ViT-B/32, Met...
2025.08
89.1
Model Soups
Backbone=ViT-B/32, Met...
2025.08
88
TIES-Merging
Backbone=ViT-B/32, Met...
2025.08
85.4
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