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fusion_bench
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Issues
A
fusion_bench\method\lm_finetune\bradley_terry_rm.py
29 3 3
A
fusion_bench\method\linear\__init__.py
 3 -
A
config\method\mixtral_moe_upscaling.yaml
 3 -
C
fusion_bench\method\concrete_subspace\clip_concrete_adamerging.py
44 3 9
A
config\method\model_recombination.yaml
 3 -
A
fusion_bench\method\doge_ta\clip_layer_wise_adamerging.py
0 3 -
A
fusion_bench\method\concrete_subspace\__init__.py
 3 -
A
fusion_bench\method\classification\__init__.py
 3 -
A
fusion_bench\method\dare\__init__.py
 3 -
A
fusion_bench\method\dare\simple_average.py
0 3 -
A
fusion_bench\method\adamerging\gpt2_layer_wise_adamerging.py
21 3 2
A
config\modelpool\CausalLMPool\simle_mixtral_exp_v4.yaml
 3 -
A
fusion_bench\models\smile_moe\linear_from_hf_config.py
21 3 -
A
fusion_bench\method\regmean\clip_regmean.py
12 3 1
A
.github\workflows\gh-deploy.yml
 3 -
A
config\model\clip-vit\clip-vit-large-patch14_sun397.yaml
 3 -
A
config\dataset\image_classification\test\emnist_letters.yaml
 3 -
A
fusion_bench\dataset\llama\preference_700k.py
8 3 1
A
fusion_bench\dataset\image_dataset.py
9 3 -
A
fusion_bench\dataset\llama\alpaca.py
33 3 2