diff --git a/awq-py/README.md b/awq-py/README.md
index 9878ad26c..c5706b096 100644
--- a/awq-py/README.md
+++ b/awq-py/README.md
@@ -117,4 +117,4 @@ We use three types of llamacpp quantization methods to work with our version, in
 |MPT 7B    | bits/weight  |   16.0 |    4.5 |    5.0 |    2.6  |
 |AWQ-MPT 7B| perplexity   | 8.4944 | 8.7053 |  8.6750 | 10.2873|
 |AWQ-MPT 7B| file size    |  13.7G  |   3.9G |   4.3G |   2.8G  |
-|AWQ-MPT 7B| bits/weight  |   16.0 |    4.5 |    5.0 |    2.6  |
\ No newline at end of file
+|AWQ-MPT 7B| bits/weight  |   16.0 |    4.5 |    5.0 |    2.6  |
diff --git a/awq-py/awq/apply_awq.py b/awq-py/awq/apply_awq.py
index 5f2ca9d91..11132c5d2 100644
--- a/awq-py/awq/apply_awq.py
+++ b/awq-py/awq/apply_awq.py
@@ -189,10 +189,7 @@ def apply_scale(module, scales_list, input_feat_dict=None):
         if isinstance(prev_op, nn.Linear):
             assert len(layers) == 1
             scale_fc_fc(prev_op, layers[0], scales)
-        elif (
-            isinstance(prev_op, (nn.LayerNorm, LlamaRMSNorm))
-            or "rmsnorm" in str(prev_op.__class__).lower()
-        ):
+        elif isinstance(prev_op, (nn.LayerNorm, LlamaRMSNorm)) or "rmsnorm" in str(prev_op.__class__).lower():
             scale_ln_fcs(prev_op, layers, scales)
         elif isinstance(prev_op, (nn.GELU, BloomGelu, GELUActivation)):
             new_module = ScaledActivation(prev_op, scales)
diff --git a/convert-hf-to-gguf.py b/convert-hf-to-gguf.py
index 200608722..1f00298ae 100755
--- a/convert-hf-to-gguf.py
+++ b/convert-hf-to-gguf.py
@@ -1041,7 +1041,7 @@ dir_model = args.model
 
 if args.awq_path:
     sys.path.insert(1, str(Path(__file__).parent / 'awq-py'))
-    from awq.apply_awq import add_scale_weights    
+    from awq.apply_awq import add_scale_weights
     tmp_model_path = args.model / "weighted_model"
     dir_model = tmp_model_path
     if tmp_model_path.is_dir():