diff --git a/src/peft/helpers.py b/src/peft/helpers.py
index 8875ff7fc4..51a9fc8dc3 100644
--- a/src/peft/helpers.py
+++ b/src/peft/helpers.py
@@ -1,3 +1,17 @@
+# Copyright 2023-present the HuggingFace Inc. team.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
 import inspect
 from copy import deepcopy
 from functools import update_wrapper
@@ -8,9 +22,9 @@
 
 def update_forward_signature(model: PeftModel) -> None:
     """
-    Args:
     Updates the forward signature of the PeftModel to include parents class signature
         model (`PeftModel`): Peft model to update the forward signature
+
     Example:
 
     ```python
@@ -41,9 +55,9 @@ def update_forward_signature(model: PeftModel) -> None:
 
 def update_generate_signature(model: PeftModel) -> None:
     """
-    Args:
     Updates the generate signature of a PeftModel with overriding generate to include parents class signature
         model (`PeftModel`): Peft model to update the generate signature
+
     Example:
 
     ```python
@@ -81,12 +95,12 @@ def update_generate_signature(model: PeftModel) -> None:
 
 def update_signature(model: PeftModel, method: str = "all") -> None:
     """
-    Args:
     Updates the signature of a PeftModel include parents class signature for forward or generate method
         model (`PeftModel`): Peft model to update generate or forward signature method (`str`): method to update
         signature choose one of "forward", "generate", "all"
+
     Example:
-     ```python
+    ```python
     >>> from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
     >>> from peft import get_peft_model, LoraConfig, TaskType, update_signature
 
diff --git a/src/peft/tuners/lora/config.py b/src/peft/tuners/lora/config.py
index cc5c60a753..6622908586 100644
--- a/src/peft/tuners/lora/config.py
+++ b/src/peft/tuners/lora/config.py
@@ -108,7 +108,7 @@ class LoraConfig(PeftConfig):
             ranks. Right now, DoRA only supports linear and Conv2D layers. DoRA introduces a bigger overhead than pure
             LoRA, so it is recommended to merge weights for inference. For more information, see
             https://arxiv.org/abs/2402.09353.
-        layer_replication(`List[Tuple[int, int]]`):
+        layer_replication (`List[Tuple[int, int]]`):
             Build a new stack of layers by stacking the original model layers according to the ranges specified. This
             allows expanding (or shrinking) the model without duplicating the base model weights. The new layers will
             all have separate LoRA adapters attached to them.