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fusion_bench
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Issues
A
fusion_bench\models\open_clip\modeling.py
12 4 1
A
fusion_bench\dataset\fer2013.py
0 4 1
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fusion_bench\models\modeling_smile_mistral\__init__.py
 4 -
A
fusion_bench\dataset\arc_agi\arc.py
22 4 -
D
fusion_bench\models\modeling_smile_qwen2\modeling_smile_qwen2.py
63 4 6
A
config\method\regmean\clip_regmean.yaml
 4 -
A
fusion_bench\constants\__init__.py
 4 -
A
fusion_bench\modelpool\convnext_for_image_classification.py
14 4 6
A
config\method\linear\weighted_average_for_llama.yaml
 4 -
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fusion_bench\dataset\__init__.py
5 4 1
A
fusion_bench\compat\modelpool\__init__.py
4 4 -
A
fusion_bench\mixins\hydra_config.py
6 4 -
A
fusion_bench\taskpool\dummy.py
2 4 -
A
config\method\ensemble\simple_ensemble.yaml
 4 -
A
examples\clip_finetune\config\modelpool\clip-finetune_stanford_cars.yaml
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A
fusion_bench\method\weighted_average\llama.py
8 4 -
A
fusion_bench\method\we_moe\we_moe.py
17 4 -
A
fusion_bench\method\singular_value_calibration\svc.py
5 4 -
A
fusion_bench\method\slerp\slerp.py
7 4 -
A
config\modelpool\CLIPVisionModelPool\clip-vit-large-patch14_individual.yaml
 4 -