diff --git a/pyproject.toml b/pyproject.toml
index b3ee2d7aea..8ef5fcd240 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -37,7 +37,7 @@ triton = [
 ]
 
 huggingface = [
-    "unsloth_zoo>=2025.7.8",
+    "unsloth_zoo>=2025.7.9",
     "packaging",
     "tyro",
     "transformers>=4.51.3,!=4.47.0,!=4.52.0,!=4.52.1,!=4.52.2,!=4.52.3,!=4.53.0",
@@ -381,7 +381,7 @@ colab-ampere-torch220 = [
     "flash-attn>=2.6.3",
 ]
 colab-new = [
-    "unsloth_zoo>=2025.7.8",
+    "unsloth_zoo>=2025.7.9",
     "packaging",
     "tyro",
     "transformers>=4.51.3,!=4.47.0,!=4.52.0,!=4.52.1,!=4.52.2,!=4.52.3,!=4.53.0",
diff --git a/unsloth/models/_utils.py b/unsloth/models/_utils.py
index 883a05f82a..bce6bb616d 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__ = "2025.7.7"
+__version__ = "2025.7.8"
 
 __all__ = [
     "SUPPORTS_BFLOAT16",
diff --git a/unsloth/models/vision.py b/unsloth/models/vision.py
index 5bbf4c76a6..2436db4ff4 100644
--- a/unsloth/models/vision.py
+++ b/unsloth/models/vision.py
@@ -85,6 +85,12 @@ from unsloth_zoo.vllm_utils import (
     return_lora_modules,
 )
 
+try:
+    torch_compiler_set_stance = torch.compiler.set_stance
+except:
+    torch_compiler_set_stance = None
+pass
+
 def unsloth_base_fast_generate(
     self,
     *args,
@@ -756,7 +762,8 @@ class FastBaseModel:
         # Must enable returning logits
         os.environ["UNSLOTH_RETURN_LOGITS"] = "1"
         # Turn off skip guards and set stance to default
-        torch.compiler.set_stance(stance = "default", skip_guard_eval_unsafe = False)
+        if torch_compiler_set_stance is not None:
+            torch_compiler_set_stance(stance = "default", skip_guard_eval_unsafe = False)
         return model
     pass
 
@@ -804,7 +811,8 @@ class FastBaseModel:
         # Can re-enable not returning logits
         os.environ["UNSLOTH_RETURN_LOGITS"] = "0"
         # Turn off skip guards and set stance to default
-        torch.compiler.set_stance(stance = "default", skip_guard_eval_unsafe = False)
+        if torch_compiler_set_stance is not None:
+            torch_compiler_set_stance(stance = "default", skip_guard_eval_unsafe = False)
         return model
     pass
 pass