[Core] Move save_tensorized_model logic to Worker (#35825)

Signed-off-by: Nick Hill <nickhill123@gmail.com>

vllm/v1/worker/gpu_worker.py

@@ -57,6 +57,7 @@ from vllm.v1.worker.utils import is_residual_scattered_for_sp
 from vllm.v1.worker.worker_base import WorkerBase
 from vllm.v1.worker.workspace import init_workspace_manager
 
+from ...model_executor.model_loader import TensorizerLoader
 from .gpu.warmup import warmup_kernels
 from .utils import request_memory
 
@@ -836,12 +837,11 @@ class Worker(WorkerBase):
             max_size=max_size,
         )
 
-    def save_tensorized_model(
-        self,
-        tensorizer_config: "TensorizerConfig",
-    ) -> None:
-        self.model_runner.save_tensorized_model(
+    def save_tensorized_model(self, tensorizer_config: "TensorizerConfig") -> None:
+        TensorizerLoader.save_model(
+            self.get_model(),
             tensorizer_config=tensorizer_config,
+            model_config=self.model_config,
         )
 
     def init_weight_transfer_engine(self, init_info: dict) -> None: