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fusion_bench
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Complexity
Churn
Issues
A
config\modelpool\CLIPVisionModelPool\clip-vit-large-patch14_individual.yaml
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config\method\pruning\llama_magnitude_pruning.yaml
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config\modelpool\CausalLMPool\Qwen2.5-1.5B_math_and_code.yaml
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config\modelpool\CausalLMPool\Qwen2.5-1.5B_three_models.yaml
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fusion_bench\method\dare\__init__.py
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config\dataset\image_classification\train\TALL14.yaml
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config\dataset\summarization\val\xsum.yaml
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config\method\pruning\llama_random_pruning.yaml
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config\modelpool\CausalLMPool\Qwen2.5-7B-math_and_coder.yaml
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fusion_bench\method\dare\simple_average.py
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config\modelpool\CausalLMPool\deepseek-v2-lite.yaml
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config\method\pruning\llama_sparsegpt_pruning.yaml
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config\modelpool\CausalLMPool\llama-7b_3-models_v1.yaml
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fusion_bench\method\dawe\__init__.py
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config\modelpool\CausalLMPool\llama_alpaca_cleaned.yaml
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fusion_bench\method\dawe\warppers\__init__.py
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config\dataset\summarization\xsum.yaml
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config\method\pruning\llama_wanda_pruning.yaml
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config\modelpool\CausalLMPool\llama_codealpaca.yaml
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fusion_bench\method\depth_upscaling\__init__.py
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