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fusion_bench
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CodeFactor Rating A
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Grade
Name
Complexity
Churn
Issues
A
examples\smile_upscaling\clip-vit-base-patch32.sh
2
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A
config\dataset\image_classification\test\cifar100.yaml
2
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A
config\model\flan-t5\flan-t5-large_glue-qqp_lora-16.yaml
1
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A
examples\smile_upscaling\plot_utils.py
1
1
A
examples\sparse_we_moe\extract_layer-wise_features.sh
1
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A
examples\sparse_we_moe\generalization_vit_b32.sh
1
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A
config\method\linear\simple_average_for_causallm.yaml
2
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A
config\model\flan-t5\flan-t5-large_glue-rte_lora-16.yaml
1
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A
examples\sparse_we_moe\grid_search_sparse_we_moe_ratio.sh
1
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A
examples\sparse_we_moe\roubustness.sh
1
4
A
config\model\flan-t5\flan-t5-large_glue-sst2_lora-16.yaml
1
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A
examples\sparse_we_moe\run_vit_b16_baselines.sh
2
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A
config\dataset\llm_sft\alpaca_cleaned.yaml
1
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A
config\method\linear\task_arithmetic_for_causallm.yaml
2
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A
config\model\flan-t5\flan-t5-large_glue-stsb_lora-16.yaml
1
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A
examples\stability_of_merging\configs.py
1
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A
examples\surgery\clip_vit.sh
2
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A
config\method\linear\ties_merging_for_causallm.yaml
2
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A
config\model_fusion.yaml
2
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A
config\modelpool\CLIPVisionModelPool\_template.yaml
2
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