diff --git a/models.py b/models.py
index 61f7c79d..c7bb0b80 100755
--- a/models.py
+++ b/models.py
@@ -181,9 +181,9 @@ class Darknet(nn.Module):
         self.hyperparams, self.module_list = create_modules(self.module_defs)
         self.yolo_layers = get_yolo_layers(self)
 
-        # Needed to write header when saving weights
-        self.header_info = np.zeros(5, dtype=np.int32)  # First five are header values
-        self.seen = self.header_info[3]  # number of images seen during training
+        # Darknet Header https://github.com/AlexeyAB/darknet/issues/2914#issuecomment-496675346
+        self.version = np.array([0, 2, 5], dtype=np.int32)  # (int32) version info: major, minor, revision
+        self.seen = np.array([0], dtype=np.int64)  # (int64) number of images seen during training
 
     def forward(self, x, var=None):
         img_size = max(x.shape[-2:])
@@ -274,14 +274,12 @@ def load_darknet_weights(self, weights, cutoff=-1):
     elif weights_file == 'yolov3-tiny.conv.15':
         cutoff = 15
 
-    # Open the weights file
+    # Read weights file
     with open(weights, 'rb') as f:
-        header = np.fromfile(f, dtype=np.int32, count=5)  # First five are header values
+        # Read Header https://github.com/AlexeyAB/darknet/issues/2914#issuecomment-496675346
+        self.version = np.fromfile(f, dtype=np.int32, count=3)  # (int32) version info: major, minor, revision
+        self.seen = np.fromfile(f, dtype=np.int64, count=1)  # (int64) number of images seen during training
 
-        # Needed to write header when saving weights
-        self.header_info = header
-
-        self.seen = header[3]  # number of images seen during training
         weights = np.fromfile(f, dtype=np.float32)  # The rest are weights
 
     ptr = 0
@@ -327,8 +325,9 @@ def save_weights(self, path='model.weights', cutoff=-1):
     # Converts a PyTorch model to Darket format (*.pt to *.weights)
     # Note: Does not work if model.fuse() is applied
     with open(path, 'wb') as f:
-        self.header_info[3] = self.seen  # number of images seen during training
-        self.header_info.tofile(f)
+        # Write Header https://github.com/AlexeyAB/darknet/issues/2914#issuecomment-496675346
+        self.version.tofile(f)  # (int32) version info: major, minor, revision
+        self.seen.tofile(f)  # (int64) number of images seen during training
 
         # Iterate through layers
         for i, (module_def, module) in enumerate(zip(self.module_defs[:cutoff], self.module_list[:cutoff])):