diff --git a/llms/mlx_lm/models/qwen2.py b/llms/mlx_lm/models/qwen2.py
index 41ce6d4b..42abe688 100644
--- a/llms/mlx_lm/models/qwen2.py
+++ b/llms/mlx_lm/models/qwen2.py
@@ -19,7 +19,6 @@ class ModelArgs(BaseModelArgs):
     num_key_value_heads: int = None
     rope_theta: float = 1000000
     rope_traditional: bool = False
-    model_type: str = None
     rope_scaling: Optional[Dict[str, Union[float, str]]] = None
 
     def __post_init__(self):
diff --git a/llms/setup.py b/llms/setup.py
index f34fbaf7..abdf21cd 100644
--- a/llms/setup.py
+++ b/llms/setup.py
@@ -8,7 +8,7 @@ with open(Path(__file__).parent / "mlx_lm/requirements.txt") as fid:
     requirements = [str(r) for r in pkg_resources.parse_requirements(fid)]
 setup(
     name="mlx-lm",
-    version="0.0.10",
+    version="0.0.11",
     description="LLMs on Apple silicon with MLX and the Hugging Face Hub",
     long_description=open("README.md", encoding="utf-8").read(),
     long_description_content_type="text/markdown",
diff --git a/stable_diffusion/stable_diffusion/__init__.py b/stable_diffusion/stable_diffusion/__init__.py
index 9a8052c5..7f2d783c 100644
--- a/stable_diffusion/stable_diffusion/__init__.py
+++ b/stable_diffusion/stable_diffusion/__init__.py
@@ -130,7 +130,7 @@ class StableDiffusion:
         # Get the latents from the input image and add noise according to the
         # start time.
         x_0, _ = self.autoencoder.encode(image[None])
-        x_0 = mx.broadcast_to(x_0, [n_images] + x_0.shape[1:])
+        x_0 = mx.broadcast_to(x_0, (n_images,) + x_0.shape[1:])
         x_T = self.sampler.add_noise(x_0, mx.array(start_step))
 
         # Perform the denoising loop