diff --git a/unsloth-cli.py b/unsloth-cli.py
index b7613f92df..86f02075f1 100644
--- a/unsloth-cli.py
+++ b/unsloth-cli.py
@@ -182,7 +182,7 @@ if __name__ == "__main__":
     lora_group = parser.add_argument_group("🧠 LoRA Options", "These options are used to configure the LoRA model.")
     lora_group.add_argument('--r', type=int, default=16, help="Rank for Lora model, default is 16.  (common values: 8, 16, 32, 64, 128)")
     lora_group.add_argument('--lora_alpha', type=int, default=16, help="LoRA alpha parameter, default is 16. (common values: 8, 16, 32, 64, 128)")
-    lora_group.add_argument('--lora_dropout', type=float, default=0, help="LoRA dropout rate, default is 0.0 which is optimized.")
+    lora_group.add_argument('--lora_dropout', type=float, default=0.0, help="LoRA dropout rate, default is 0.0 which is optimized.")
     lora_group.add_argument('--bias', type=str, default="none", help="Bias setting for LoRA")
     lora_group.add_argument('--use_gradient_checkpointing', type=str, default="unsloth", help="Use gradient checkpointing")
     lora_group.add_argument('--random_state', type=int, default=3407, help="Random state for reproducibility, default is 3407.")
diff --git a/unsloth/models/llama.py b/unsloth/models/llama.py
index 0c6f6c1e86..3551c6ca5e 100644
--- a/unsloth/models/llama.py
+++ b/unsloth/models/llama.py
@@ -2220,7 +2220,7 @@ class FastLlamaModel:
         target_modules      = ["q_proj", "k_proj", "v_proj", "o_proj",
                                "gate_proj", "up_proj", "down_proj"],
         lora_alpha          = 16,
-        lora_dropout        = 0,
+        lora_dropout        = 0.0,
         bias                = "none",
         layers_to_transform = None,
         layers_pattern      = None,
diff --git a/unsloth/models/vision.py b/unsloth/models/vision.py
index 9899d60440..7442f07e73 100644
--- a/unsloth/models/vision.py
+++ b/unsloth/models/vision.py
@@ -554,7 +554,7 @@ class FastBaseModel:
         r                          = 16,
         target_modules             = None,
         lora_alpha                 = 16,
-        lora_dropout               = 0,
+        lora_dropout               = 0.0,
         bias                       = "none",
         finetune_vision_layers     = True,
         finetune_language_layers   = True,