diff --git a/unsloth/models/llama.py b/unsloth/models/llama.py
index 3504037b66..aa5a1c5746 100644
--- a/unsloth/models/llama.py
+++ b/unsloth/models/llama.py
@@ -2016,6 +2016,10 @@ class FastLlamaModel:
         temporary_location  = "_unsloth_temporary_saved_buffers",
         **kwargs,
     ):
+        if os.environ.get("UNSLOTH_ENABLE_FULL_FINETUNING", "0") == "1":
+            print("Unsloth: Full finetuning is enabled, so .get_peft_model has no effect")
+            return model
+        pass
         transformers_set_seed(random_state)
 
         if use_gradient_checkpointing == "unsloth":
diff --git a/unsloth/models/vision.py b/unsloth/models/vision.py
index 2830783756..371b4795ee 100644
--- a/unsloth/models/vision.py
+++ b/unsloth/models/vision.py
@@ -25,7 +25,7 @@ from ..kernels import (
     post_patch_loss_function,
 )
 from ._utils import __version__
-from peft import LoraConfig, TaskType, get_peft_model
+from peft import LoraConfig, TaskType, get_peft_model as _get_peft_model
 from transformers import set_seed as transformers_set_seed
 from unsloth_zoo.peft_utils import (
     get_peft_regex,
@@ -341,7 +341,7 @@ class FastBaseModel:
             model,
             use_gradient_checkpointing = use_gradient_checkpointing,
         )
-        model = get_peft_model(model, lora_config)
+        model = _get_peft_model(model, lora_config)
         # Enable gradients on modules which are trainable
         requires_grad_for_gradient_checkpointing(model)