diff --git a/llms/llama/convert.py b/llms/llama/convert.py
index 9c05c8b7..33610f44 100644
--- a/llms/llama/convert.py
+++ b/llms/llama/convert.py
@@ -8,6 +8,7 @@ import json
 import shutil
 from pathlib import Path
 from typing import Dict
+
 import mlx.core as mx
 import mlx.nn as nn
 import torch
@@ -149,7 +150,7 @@ def quantize(weights, config, args):
 def make_shards(weights: dict, max_file_size_gibibyte: int = 15):
     max_file_size_bytes = max_file_size_gibibyte << 30
     shards = []
-    shard : Dict[str, mx.array] = {}
+    shard: Dict[str, mx.array] = {}
     shard_size = 0
     for k, v in weights.items():
         if shard_size + v.nbytes > max_file_size_bytes:
diff --git a/llms/mixtral/mixtral.py b/llms/mixtral/mixtral.py
index 8520b87c..807d3b23 100644
--- a/llms/mixtral/mixtral.py
+++ b/llms/mixtral/mixtral.py
@@ -91,7 +91,7 @@ class FeedForward(nn.Module):
 class MOEFeedForward(nn.Module):
     def __init__(self, args: ModelArgs):
         super().__init__()
-        
+
         if args.moe is None:
             raise ValueError("args.moe must not be None for MOEFeedForward")