diff --git a/unsloth/models/rl_replacements.py b/unsloth/models/rl_replacements.py
index 002e4d1863..d6d9352d98 100644
--- a/unsloth/models/rl_replacements.py
+++ b/unsloth/models/rl_replacements.py
@@ -176,7 +176,7 @@ def grpo_trainer__prepare_inputs(function_name, function):
     import re
     # This matches the function signature, decorators and any comments immediately following
     pattern = r"(\s*@profiling_decorator\s*\n\s*def _prepare_inputs\s*\([^\)]*\)\s*(->\s*[^:]+)?\s*:\s*\n(?:[ ]*#[^\n]*\n)*)"
-    
+
     match = re.search(pattern, function)
     insert = (
         "        if hasattr(self, 'llm'):\n"
@@ -196,7 +196,7 @@ def grpo_trainer__prepare_inputs(function_name, function):
             rest_of_function,
             flags=re.DOTALL | re.MULTILINE
         )
-        
+
         # We also need to remove the old wake up call from the beginning of the function
         # since it's injected before the comments.
         header_and_comments = re.sub(
@@ -373,7 +373,7 @@ def grpo_trainer_compute_loss(function_name, function):
         _input_ids = input_ids
         _logits_to_keep = logits_to_keep
 
-        get_logps_func = lambda model, input_ids, attention_mask, logits_to_keep, batch_size=None, compute_entropy=False: self._get_per_token_logps(model, input_ids, attention_mask, logits_to_keep, batch_size) if hasattr(self, "_get_per_token_logps") else self._get_per_token_logps_and_entropies(model, input_ids, attention_mask, logits_to_keep, batch_size, compute_entropy)['logps']
+        get_logps_func = lambda model, input_ids, attention_mask, logits_to_keep, batch_size=None, compute_entropy=False: self._get_per_token_logps(model, input_ids, attention_mask, logits_to_keep) if hasattr(self, "_get_per_token_logps") else self._get_per_token_logps_and_entropies(model, input_ids, attention_mask, logits_to_keep, batch_size, compute_entropy)['logps']
 
         per_token_logps = get_logps_func(model, input_ids, attention_mask, logits_to_keep)