super-gradients/src/super_gradients/recipes/arch_params/repvgg_arch_params.yaml

struct: # model's structure
num_classes: # number of outputs of the classification head
width_multiplier: # model's width multiplier
use_se: False # use squeeze and excitation layer
backbone_mode: False # cuts off classification head.
build_residual_branches: True # whether to add residual connections or not
in_channels: 3 # number of input channels