diff --git a/models.py b/models.py
index 5a437027..afd5b87b 100755
--- a/models.py
+++ b/models.py
@@ -5,7 +5,7 @@ from utils.parse_config import *
 ONNX_EXPORT = False
 
 
-def create_modules(module_defs, img_size):
+def create_modules(module_defs, img_size, cfg):
     # Constructs module list of layer blocks from module configuration in module_defs
 
     img_size = [img_size] * 2 if isinstance(img_size, int) else img_size  # expand if necessary
@@ -92,14 +92,16 @@ def create_modules(module_defs, img_size):
 
         elif mdef['type'] == 'yolo':
             yolo_index += 1
-            stride = [32, 16, 8, 4, 2][yolo_index]  # P3-P7 stride
+            stride = [32, 16, 8]  # P5, P4, P3 strides
+            if 'panet' in cfg or 'yolov4' in cfg:  # stride order reversed
+                stride = list(reversed(stride))
             layers = mdef['from'] if 'from' in mdef else []
             modules = YOLOLayer(anchors=mdef['anchors'][mdef['mask']],  # anchor list
                                 nc=mdef['classes'],  # number of classes
                                 img_size=img_size,  # (416, 416)
                                 yolo_index=yolo_index,  # 0, 1, 2...
                                 layers=layers,  # output layers
-                                stride=stride)
+                                stride=stride[yolo_index])
 
             # Initialize preceding Conv2d() bias (https://arxiv.org/pdf/1708.02002.pdf section 3.3)
             try:
@@ -221,7 +223,7 @@ class Darknet(nn.Module):
         super(Darknet, self).__init__()
 
         self.module_defs = parse_model_cfg(cfg)
-        self.module_list, self.routs = create_modules(self.module_defs, img_size)
+        self.module_list, self.routs = create_modules(self.module_defs, img_size, cfg)
         self.yolo_layers = get_yolo_layers(self)
         # torch_utils.initialize_weights(self)