diff --git a/unsloth/models/rl.py b/unsloth/models/rl.py
index 95e9b7919..d5c7be68d 100644
--- a/unsloth/models/rl.py
+++ b/unsloth/models/rl.py
@@ -545,10 +545,17 @@ def _patch_trl_rl_trainers(trainer_file = "grpo_trainer"):
     # Warn on too large or too small learning rate
     if " learning_rate" in call_args:
         learning_rate_check = \
-        "if learning_rate < 1e-7: raise FloatingPointError(f'Unsloth: Your learning rate of `{learning_rate}` is too small and less than 1e-7! "\
-        "Consider increasing it, otherwise gradient updates will be close to 0!')\n"\
-        "if learning_rate > 1: raise OverflowError(f'Unsloth: Your learning rate of `{learning_rate}` is way too larger > 1! "\
-        "Consider decreasing it to 1e-1, otherwise gradient updates will explode!')\n"
+        "use_strict_mode = os.environ.get('UNSLOTH_USE_STRICT_MODE', '1') == '1'\n"\
+        "lower_limit_msg = f'Unsloth: Your learning rate of `{learning_rate}` is too small and less than 1e-7! "\
+        "Consider increasing it, otherwise gradient updates will be close to 0!'\n"\
+        "upper_limit_msg = f'Unsloth: Your learning rate of `{learning_rate}` is way too and more than 1! "\
+        "Consider decreasing it to 1e-1, otherwise gradient updates will explode!'\n"\
+        "if learning_rate < 1e-7:\n"\
+            "if use_strict_mode: raise FloatingPointError(lower_limit_msg)\n"\
+            "else: print(lower_limit_msg)\n"\
+        "if learning_rate > 1:\n"\
+            "if use_strict_mode: raise OverflowError(upper_limit_msg)\n"\
+            "else: print(upper_limit_msg)\n"\
         extra_args += learning_rate_check
     pass