diff --git a/unsloth/models/rl.py b/unsloth/models/rl.py
index 0207f1c9bf..f6b3fdbf32 100644
--- a/unsloth/models/rl.py
+++ b/unsloth/models/rl.py
@@ -127,12 +127,12 @@ class Unsloth{RLConfig_name}({RLConfig_name}):
         metadata = {{'help': 'vLLM SamplingParams'}},
     )
     unsloth_num_chunks : Optional[int] = field(
-        default = 1,
-        metadata = {{'help': 'Chunk size to reduce memory usage'}},
+        default = -1,
+        metadata = {{'help': 'Chunk size to reduce memory usage. -1 is most efficient.'}},
     )
     def __init__({RLConfig_arguments},
         vllm_sampling_params = None,
-        unsloth_num_chunks = 1,
+        unsloth_num_chunks = -1,
         **kwargs,
     ):
 {RLConfig_extra_args}
diff --git a/unsloth/models/rl_replacements.py b/unsloth/models/rl_replacements.py
index 5d6201dd22..23b31172fd 100644
--- a/unsloth/models/rl_replacements.py
+++ b/unsloth/models/rl_replacements.py
@@ -177,7 +177,7 @@ def grpo_trainer__get_per_token_logps(function_name, function):
     if  function_name != "_get_per_token_logps": return function
 
     def _get_per_token_logps(self, model, input_ids, attention_mask, logits_to_keep):
-        if self.args.unsloth_num_chunks != 1: return None
+        return None # Unsloth efficient GRPO
         if not hasattr(self, '_autocast_dtype'):
             self._autocast_dtype = torch.float16 if os.environ.get('ACCELERATE_MIXED_PRECISION', 'fp16') == 'fp16' else torch.bfloat16
         with torch.amp.autocast(device_type = 'cuda', dtype = self._autocast_dtype):