diff --git a/src/axolotl/utils/models.py b/src/axolotl/utils/models.py
index 103c707f2..c6d380267 100644
--- a/src/axolotl/utils/models.py
+++ b/src/axolotl/utils/models.py
@@ -252,11 +252,16 @@ def load_model(
             )
             # Shouldn't be a problem most of the time. will obviously error if the model doesn't support this
             # when training starts
-            if hasattr(config, "max_seq_len") and config.max_seq_len and cfg.sequence_len > config.max_seq_len:
+            if (
+                hasattr(config, "max_seq_len")
+                and config.max_seq_len
+                and cfg.sequence_len > config.max_seq_len
+            ):
                 config.max_seq_len = cfg.sequence_len
                 logging.warning(f"increasing context length to {cfg.sequence_len}")
             elif (
-                hasattr(config, "max_sequence_length") and config.max_sequence_length
+                hasattr(config, "max_sequence_length")
+                and config.max_sequence_length
                 and cfg.sequence_len > config.max_sequence_length
             ):
                 config.max_sequence_length = cfg.sequence_len
@@ -289,7 +294,8 @@ def load_model(
     model.resize_token_embeddings(embeddings_len)
 
     if (
-        hasattr(model.config, "max_position_embeddings") and model.config.max_position_embeddings
+        hasattr(model.config, "max_position_embeddings")
+        and model.config.max_position_embeddings
         and cfg.sequence_len >= model.config.max_position_embeddings
     ):
         logging.warning(