diff --git a/onnxscript/function_libs/torch_lib/ops/core.py b/onnxscript/function_libs/torch_lib/ops/core.py
index 11f26b814..dfcd5c35b 100644
--- a/onnxscript/function_libs/torch_lib/ops/core.py
+++ b/onnxscript/function_libs/torch_lib/ops/core.py
@@ -8776,6 +8776,12 @@ def aten_type_as(self: TTensor, other: TTensor2) -> TTensor2:
 def aten_unbind(self: TTensor, dim: int = 0) -> Sequence[TTensor]:
     """unbind.int(Tensor(a -> *) self, int dim=0) -> Tensor(a)[]"""
 
+    if isinstance(self.shape[dim], int) and not version_utils.torch_older_than("2.7"):
+        # We can create a definitive split op if the input shape is static
+        # Only torch>=2.7 supports correctly generating the correct number of outputs for Split
+        outputs = op.Split(self, axis=dim, num_outputs=self.shape[dim])
+        return [op.Squeeze(out, [dim]) for out in outputs]
+
     return op.SplitToSequence(self, axis=dim, keepdims=False)
 
 
diff --git a/tests/function_libs/torch_lib/ops_test.py b/tests/function_libs/torch_lib/ops_test.py
index 7ba6f9d37..45875043e 100644
--- a/tests/function_libs/torch_lib/ops_test.py
+++ b/tests/function_libs/torch_lib/ops_test.py
@@ -39,6 +39,7 @@
 from torch.utils import _pytree as pytree
 
 import onnxscript
+from onnxscript._internal import version_utils
 from tests.function_libs.torch_lib import (
     error_reproduction,
     ops_test_common,
@@ -200,7 +201,7 @@ def run_test_output_match(
                 reference_torch_outputs, _ = pytree.tree_flatten(torch_output)
                 if (
                     op.name.startswith("split")
-                    or op.name.startswith("unbind")
+                    or (op.name.startswith("unbind") and version_utils.torch_older_than("2.7"))
                     or op.name
                     in {"atleast_1d_Sequence", "atleast_2d_Sequence", "atleast_3d_Sequence"}
                 ):
diff --git a/tests/function_libs/torch_lib/ops_test_data.py b/tests/function_libs/torch_lib/ops_test_data.py
index ff4a68d2f..1b998b1d2 100644
--- a/tests/function_libs/torch_lib/ops_test_data.py
+++ b/tests/function_libs/torch_lib/ops_test_data.py
@@ -1478,6 +1478,7 @@ def _where_input_wrangler(
         reason="fixme: SplitToSequence op inference failed. https://github.com/microsoft/onnxruntime/issues/16006",
     )
     .xfail(
+        enabled_if=version_utils.torch_older_than("2.7"),
         dtypes=(torch.bool,),
         reason="fixme: ORT does not implement SplitToSequence for bool inputs: https://github.com/microsoft/onnxruntime/issues/16905",
     ),