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fusion_bench
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Grade
Name
Complexity
Churn
Issues
B
fusion_bench\utils\modelscope.py
22 5 4
A
examples\sparse_we_moe\roubustness.sh
 1 4
B
fusion_bench\dataset\arc_agi\arc_agi.py
30 5 4
B
fusion_bench\method\adamerging\flan_t5_layer_wise_adamerging.py
21 3 4
B
fusion_bench\method\classification\clip_finetune.py
28 5 4
A
fusion_bench\method\expert_sparsity\mixtral\layer_wise_pruning.py
7 2 4
A
fusion_bench\method\expert_sparsity\mixtral\progressive_pruning.py
7 2 4
A
fusion_bench\method\smile_upscaling\causal_lm_upscaling.py
29 1 4
B
fusion_bench\modelpool\clip_vision\modelpool.py
21 7 4
B
fusion_bench\modelpool\resnet_for_image_classification.py
31 5 4
B
fusion_bench\models\modeling_smile_gemma2\modeling_smile_gemma2.py
62 1 4
A
fusion_bench\method\concrete_subspace\clip_post_defense.py
38 2 5
A
fusion_bench\method\expert_sparsity\utils\calibration_data.py
12 2 5
B
fusion_bench\method\lm_finetune\fullfinetune_sft.py
28 8 5
B
fusion_bench\method\pruning\wanda_utils\prune.py
52 1 5
A
fusion_bench\modelpool\openclip_vision\modelpool.py
43 4 5
A
fusion_bench\models\linearized\vision_model.py
12 5 5
A
fusion_bench\models\llama\tokenizer_loader.py
11 2 5
A
fusion_bench\modelpool\convnext_for_image_classification.py
14 4 6
A
fusion_bench\modelpool\dinov2_for_image_classification.py
14 1 6