diff --git a/timm/models/fastvit.py b/timm/models/fastvit.py
index e175c738..f61b54e5 100644
--- a/timm/models/fastvit.py
+++ b/timm/models/fastvit.py
@@ -1,11 +1,13 @@
 # FastViT for PyTorch
 #
+# Original implementation and weights from https://github.com/apple/ml-fastvit
+#
 # For licensing see accompanying LICENSE file at https://github.com/apple/ml-fastvit/tree/main
 # Original work is copyright (C) 2023 Apple Inc. All Rights Reserved.
 #
 import os
 from functools import partial
-from typing import List, Tuple, Optional, Union
+from typing import Tuple, Optional, Union
 
 import torch
 import torch.nn as nn
@@ -1141,7 +1143,7 @@ class FastVit(nn.Module):
                 mlp_ratio=mlp_ratios[i],
                 act_layer=act_layer,
                 norm_layer=norm_layer,
-                proj_drop_rate=drop_rate,
+                proj_drop_rate=proj_drop_rate,
                 drop_path_rate=dpr[i],
                 layer_scale_init_value=layer_scale_init_value,
                 lkc_use_act=lkc_use_act,
diff --git a/timm/models/inception_next.py b/timm/models/inception_next.py
index d22593cb..f5d37db9 100644
--- a/timm/models/inception_next.py
+++ b/timm/models/inception_next.py
@@ -1,5 +1,6 @@
 """
-InceptionNeXt implementation, paper: https://arxiv.org/abs/2303.16900
+InceptionNeXt paper: https://arxiv.org/abs/2303.16900
+Original implementation & weights from: https://github.com/sail-sg/inceptionnext
 """
 
 from functools import partial
@@ -8,14 +9,14 @@ import torch
 import torch.nn as nn
 
 from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
-from timm.layers import trunc_normal_, DropPath, to_2tuple, create_conv2d, get_padding, SelectAdaptivePool2d
+from timm.layers import trunc_normal_, DropPath, to_2tuple, get_padding, SelectAdaptivePool2d
 from ._builder import build_model_with_cfg
 from ._manipulate import checkpoint_seq
 from ._registry import register_model, generate_default_cfgs
 
 
 class InceptionDWConv2d(nn.Module):
-    """ Inception depthweise convolution
+    """ Inception depthwise convolution
     """
 
     def __init__(
@@ -219,7 +220,7 @@ class MetaNeXtStage(nn.Module):
 
 class MetaNeXt(nn.Module):
     r""" MetaNeXt
-        A PyTorch impl of : `InceptionNeXt: When Inception Meets ConvNeXt`  - https://arxiv.org/pdf/2203.xxxxx.pdf
+        A PyTorch impl of : `InceptionNeXt: When Inception Meets ConvNeXt` - https://arxiv.org/abs/2303.16900
 
     Args:
         in_chans (int): Number of input image channels. Default: 3
@@ -227,7 +228,7 @@ class MetaNeXt(nn.Module):
         depths (tuple(int)): Number of blocks at each stage. Default: (3, 3, 9, 3)
         dims (tuple(int)): Feature dimension at each stage. Default: (96, 192, 384, 768)
         token_mixers: Token mixer function. Default: nn.Identity
-        norm_layer: Normalziation layer. Default: nn.BatchNorm2d
+        norm_layer: Normalization layer. Default: nn.BatchNorm2d
         act_layer: Activation function for MLP. Default: nn.GELU
         mlp_ratios (int or tuple(int)): MLP ratios. Default: (4, 4, 4, 3)
         head_fn: classifier head