Sync function docstrings with their signatures

src/peft/peft_model.py

@@ -1208,10 +1208,6 @@ def get_layer_status(self) -> list[TunerLayerStatus]:
         - `quantization_backend` (`str` or `None`):
            The name of the quantization backend, e.g. `"bnb 4bit"`, or `None` if not quantized.
 
-        Args:
-            model ([`~PeftModel`]):
-                The model to get the adapter layer status from.
-
         Returns:
             list[`peft.peft_model.TunerLayerStatus`]:
                 A list of dataclasses, each containing the status of the corresponding adapter layer.
@@ -1251,10 +1247,6 @@ def get_model_status(self) -> TunerModelStatus:
            The name of the quantization backend, e.g. `"bnb 4bit"`, or `None` if not quantized. If the backend is not
            consistent across all layers, this will be `"irregular"`.
 
-        Args:
-            model ([`~PeftModel`]):
-                The model to get the adapter layer status from.
-
         Returns:
             `peft.peft_model.TunerModelStatus`:
                 A dataclass containing the status of the model.

src/peft/tuners/tuners_utils.py

@@ -1597,7 +1597,7 @@ def set_adapter(self, adapter_names: str | list[str], inference_mode: bool = Fal
         inference_mode is True.
 
         Args:
-            adapter_name (`str` or `list[str]`):
+            adapter_names (`str` or `list[str]`):
                  The name(s) of the adapter(s) to set as active.
             inference_mode (bool, optional):
                  Whether the activated adapter should be frozen (i.e. `requires_grad=False`). Default is False.