diff --git a/nerfstudio/models/splatfacto.py b/nerfstudio/models/splatfacto.py
index 475cc5c388..6f43fba5db 100644
--- a/nerfstudio/models/splatfacto.py
+++ b/nerfstudio/models/splatfacto.py
@@ -62,7 +62,6 @@ def resize_image(image: torch.Tensor, d: int):
     return tf.conv2d(image.permute(2, 0, 1)[:, None, ...], weight, stride=d).squeeze(1).permute(1, 2, 0)
 
 
-@torch_compile()
 def get_viewmat(optimized_camera_to_world):
     """
     function that converts c2w to gsplat world2camera matrix, using compile for some speed
diff --git a/nerfstudio/utils/eval_utils.py b/nerfstudio/utils/eval_utils.py
index 11a8b23416..8d07fe842a 100644
--- a/nerfstudio/utils/eval_utils.py
+++ b/nerfstudio/utils/eval_utils.py
@@ -59,7 +59,7 @@ def eval_load_checkpoint(config: TrainerConfig, pipeline: Pipeline) -> Tuple[Pat
         load_step = config.load_step
     load_path = config.load_dir / f"step-{load_step:09d}.ckpt"
     assert load_path.exists(), f"Checkpoint {load_path} does not exist"
-    loaded_state = torch.load(load_path, map_location="cpu")
+    loaded_state = torch.load(load_path, map_location="cpu", weights_only=False)
     pipeline.load_pipeline(loaded_state["pipeline"], loaded_state["step"])
     CONSOLE.print(f":white_check_mark: Done loading checkpoint from {load_path}")
     return load_path, load_step