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fusion_bench
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Grade
Name
Complexity
Churn
Issues
F
fusion_bench\models\modeling_losparse_llama\modeling_losparse_llama.py
126 1 13
C
fusion_bench\method\concrete_subspace\clip_concrete_adamerging.py
44 3 9
B
fusion_bench\method\moe_pruner\utils\data.py
11 2 8
C
fusion_bench\dataset\gpt2_glue.py
7 5 8
B
fusion_bench\method\pruning\wanda_utils\data.py
11 4 8
B
fusion_bench\method\concrete_subspace\clip_safe_concrete_adamerging.py
46 2 7
C
fusion_bench\models\modeling_smile_llama\modeling_smile_llama.py
45 2 7
D
fusion_bench\models\modeling_deepseek_v2\modeling_deepseek.py
142 2 7
C
fusion_bench\models\modeling_smile_mistral\modeling_smile_mistral.py
64 2 7
D
fusion_bench\models\modeling_smile_qwen2\modeling_smile_qwen2.py
63 4 6
A
fusion_bench\modelpool\convnext_for_image_classification.py
14 4 6
A
fusion_bench\modelpool\dinov2_for_image_classification.py
14 1 6
A
fusion_bench\method\concrete_subspace\clip_post_defense.py
38 2 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
B
fusion_bench\method\lm_finetune\fullfinetune_sft.py
28 8 5
A
fusion_bench\models\llama\tokenizer_loader.py
11 2 5
A
fusion_bench\method\expert_sparsity\utils\calibration_data.py
12 2 5
B
fusion_bench\method\classification\clip_finetune.py
28 5 4