diff --git a/bitsandbytes/nn/modules.py b/bitsandbytes/nn/modules.py
index ac7bb8e7b..0dac35bf1 100644
--- a/bitsandbytes/nn/modules.py
+++ b/bitsandbytes/nn/modules.py
@@ -434,7 +434,19 @@ def forward(self, x: torch.Tensor):
 
 
 class LinearFP4(Linear4bit):
+    """
+    Implements the FP4 data type.
+    """
     def __init__(self, input_features, output_features, bias=True, compute_dtype=None, compress_statistics=True, quant_storage=torch.uint8, device=None):
+        """
+        Args:
+            input_features (`str`):
+                Number of input features of the linear layer.
+            output_features (`str`):
+                Number of output features of the linear layer.
+            bias (`bool`, defaults to `True`):
+                Whether the linear class uses the bias term as well.
+        """
         super().__init__(input_features, output_features, bias, compute_dtype, compress_statistics, 'fp4', quant_storage, device)
 
 
@@ -450,6 +462,15 @@ class LinearNF4(Linear4bit):
         the `functional.py` file: https://github.com/TimDettmers/bitsandbytes/blob/main/bitsandbytes/functional.py#L236.
     '''
     def __init__(self, input_features, output_features, bias=True, compute_dtype=None, compress_statistics=True, quant_storage=torch.uint8, device=None):
+        """
+        Args:
+            input_features (`str`):
+                Number of input features of the linear layer.
+            output_features (`str`):
+                Number of output features of the linear layer.
+            bias (`bool`, defaults to `True`):
+                Whether the linear class uses the bias term as well.
+        """
         super().__init__(input_features, output_features, bias, compute_dtype, compress_statistics, 'nf4', quant_storage, device)