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Model Merging on Sustainability to large-scale 8 tasks
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94.8
Avg Normalized Accuracy
DOGE AM
72.856
78.553
84.25
89.947
Aug 5, 2025
Avg Normalized Accuracy
Updated 1mo ago
Evaluation Results
Method
Method
Links
Avg Normalized Accuracy
DOGE AM
Backbone=ViT-B/32, Met...
2025.08
94.8
RegMean++
Backbone=ViT-B/32, Met...
2025.08
93.1
TSV-M
Backbone=ViT-B/32, Met...
2025.08
91.6
Iso-CTS
Backbone=ViT-B/32, Met...
2025.08
91.6
Iso-C
Backbone=ViT-B/32, Met...
2025.08
91.3
Layer-wise AdaMerging
Backbone=ViT-B/32, Met...
2025.08
91.2
RegMean
Backbone=ViT-B/32, Met...
2025.08
90.9
DOGE TA
Backbone=ViT-B/32, Met...
2025.08
89
TIES-Merging
Backbone=ViT-B/32, Met...
2025.08
79.6
Fisher Merging
Backbone=ViT-B/32, Met...
2025.08
78.2
Task Arithmetic
Backbone=ViT-B/32, Met...
2025.08
74.3
Model Soups
Backbone=ViT-B/32, Met...
2025.08
73.7
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