[MLX] Fix startup crash when reporting preloaded weights (#37035)

test/registered/unit/hardware_backend/mlx/test_mlx_runner_pool_contract.py

@@ -11,8 +11,11 @@ attention backend named by ``server_args.attention_backend``; MLX never
 uses one, and some backends read real KV buffers in ``__init__``, which
 crashes on ``_DummyKVCache``.
 
-The checks are signature/identity-only and MLX-gated because importing
-the stub pulls in ``mlx.core``.
+The base ``preloaded_weights_bytes`` property reads the Torch model loader.
+The MLX stub never creates one because its native runner owns model loading
+and KV sizing, so it must report zero for the Torch accounting hook.
+
+The checks are MLX-gated because importing the stub pulls in ``mlx.core``.
 """
 
 from __future__ import annotations
@@ -22,6 +25,7 @@ import inspect
 import unittest
 
 from sglang.test.ci.ci_register import register_cpu_ci, register_mlx_ci
+from sglang.test.test_utils import CustomTestCase
 
 register_cpu_ci(est_time=1, suite="base-a-test-cpu")
 register_mlx_ci(est_time=1, suite="stage-a-unit-test-mlx")
@@ -35,8 +39,15 @@ if _HAS_MLX:
 
 
 @unittest.skipUnless(_HAS_MLX, _SKIP_REASON)
-class TestMlxRunnerPoolContract(unittest.TestCase):
-    """``MlxModelRunnerStub.alloc_memory_pool`` must override the base."""
+class TestMlxRunnerPoolContract(CustomTestCase):
+    """Guard the stub's scheduler-facing ``ModelRunner`` contracts."""
+
+    def test_stub_reports_no_preloaded_torch_weights(self):
+        runner = object.__new__(MlxModelRunnerStub)
+        runner.pre_model_load_memory = 1.0
+        self.assertEqual(runner.preloaded_weights_bytes, 0)
+        runner.account_preloaded_weights(runner.preloaded_weights_bytes)
+        self.assertEqual(runner.pre_model_load_memory, 1.0)
 
     def test_stub_overrides_base_alloc_memory_pool(self):
         self.assertIn(