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fusion_bench
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Complexity
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Issues
A
config\modelpool\CLIPVisionModelPool\clip-vit-base-patch32_robustness_corrupted.yaml
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config\dataset\question_answering\train\MetaMathQA.yaml
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fusion_bench\method\adamerging\flan_t5_layer_wise_adamerging.py
21 3 -
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config\modelpool\CLIPVisionModelPool\clip-vit-base-patch32_single_task_projection.yaml
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fusion_bench\method\adamerging\layer_wise_adamerging.py
17 5 -
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config\method\opcm\opcm.yaml
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fusion_bench\method\adamerging\min_norm_solvers.py
38 2 -
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config\modelpool\CLIPVisionModelPool\clip-vit-base-patch32_sun397_and_dtd.yaml
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fusion_bench\method\adamerging\task_wise_adamerging.py
20 2 -
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config\dataset\image_classification\train\TALL10.yaml
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config\modelpool\SequenceClassificationModelPool\roberta-base_glue.yaml
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config\model\clip-vit\clip-vit-base-patch16_oxford-iiit-pet.yaml
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config\modelpool\SequenceClassificationModelPool\single_reward_model.yaml
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config\modelpool\automodelpool.yaml
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config\llama_magnitude_pruning.yaml
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config\model\clip-vit\clip-vit-base-patch16_oxford_flowers102.yaml
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config\modelpool\gpt-2_glue.yaml
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config\modelpool\nyuv2_modelpool.yaml
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config\model\clip-vit\clip-vit-base-patch16_pcam.yaml
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config\modelpool\smile_mistral_exp_v1.yaml
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