diff --git a/unsloth/models/_utils.py b/unsloth/models/_utils.py
index 41da912600..ab53811f49 100644
--- a/unsloth/models/_utils.py
+++ b/unsloth/models/_utils.py
@@ -12,7 +12,7 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-__version__ = "2025.3.16"
+__version__ = "2025.3.17"
 
 __all__ = [
     "SUPPORTS_BFLOAT16",
@@ -1175,11 +1175,9 @@ def unsloth_compile_transformers(
             "so turning off some optimizations!"
         )
         return
-    print(disable)
     if disable: return
 
     model_types = list(dict().fromkeys(model_types).keys())
-    print(model_types)
     for model_type in model_types:
         _unsloth_compile_transformers(
             model_type,
@@ -1212,7 +1210,6 @@ def unsloth_compile_transformers(
     # Redo patches which override compiler
     for temporary_patch in TEMPORARY_PATCHES:
         temporary_patch()
-        print(os.environ["UNSLOTH_FORCE_FLOAT32"])
     return model_types
 pass
 
diff --git a/unsloth/models/loader.py b/unsloth/models/loader.py
index 20b96eb2c5..670e082580 100644
--- a/unsloth/models/loader.py
+++ b/unsloth/models/loader.py
@@ -650,7 +650,6 @@ class FastModel(FastBaseModel):
             if model_type_arch != "siglip": break
         global FORCE_FLOAT32
         for disable_name in FORCE_FLOAT32:
-            print(model_types, disable_name.lower(), model_type_arch.lower(), model_name.lower(), dtype, SUPPORTS_BFLOAT16)
             if (disable_name.lower() == model_type_arch.lower() or \
                 disable_name.lower() in model_name.lower()) and \
                 ((dtype == torch.float16) or not SUPPORTS_BFLOAT16):
@@ -658,7 +657,6 @@ class FastModel(FastBaseModel):
                 dtype = torch.bfloat16 # Change to bfloat16 loading
                 break
         pass
-        print(model_type_arch, FORCE_FLOAT32, dtype, os.environ["UNSLOTH_FORCE_FLOAT32"])
         # Patch gradient checkpointing
         if use_gradient_checkpointing == "unsloth":
             patch_unsloth_smart_gradient_checkpointing(dtype = dtype)