diff --git a/vllm/worker/openvino_model_runner.py b/vllm/worker/openvino_model_runner.py
index a164fbe3393c4..adb5ab88ffeff 100644
--- a/vllm/worker/openvino_model_runner.py
+++ b/vllm/worker/openvino_model_runner.py
@@ -6,9 +6,7 @@
 
 from vllm.attention import get_attn_backend
 from vllm.attention.backends.openvino import OpenVINOAttentionMetadata
-from vllm.config import (CacheConfig, DeviceConfig, LoadConfig, LoRAConfig,
-                         ModelConfig, MultiModalConfig, ParallelConfig,
-                         SchedulerConfig)
+from vllm.config import EngineConfig
 from vllm.logger import init_logger
 from vllm.model_executor import SamplingMetadata
 from vllm.model_executor.layers.sampler import SamplerOutput
@@ -16,6 +14,7 @@
 from vllm.multimodal import (MULTIMODAL_REGISTRY, BatchedTensorInputs,
                              MultiModalInputs)
 from vllm.sequence import SequenceGroupMetadata
+from vllm.worker.model_runner_base import ModelRunnerBase
 
 logger = init_logger(__name__)
 
@@ -38,33 +37,21 @@ def empty(cls, device):
                           multi_modal_kwargs={})
 
 
-class OpenVINOModelRunner:
+class OpenVINOModelRunner(ModelRunnerBase):
 
     def __init__(
         self,
         ov_core: ov.Core,
-        model_config: ModelConfig,
-        parallel_config: ParallelConfig,
-        scheduler_config: SchedulerConfig,
-        device_config: DeviceConfig,
-        cache_config: CacheConfig,
-        load_config: LoadConfig,
-        lora_config: Optional[LoRAConfig],
-        multimodal_config: Optional[MultiModalConfig],
+        vllm_config: EngineConfig,
         kv_cache_dtype: Optional[str] = "auto",
         is_driver_worker: bool = False,
         *args,
         **kwargs,
     ):
         self.ov_core = ov_core
-        self.model_config = model_config
-        self.parallel_config = parallel_config
-        self.scheduler_config = scheduler_config
-        self.device_config = device_config
-        self.cache_config = cache_config
-        self.lora_config = lora_config
-        self.multimodal_config = multimodal_config
-        self.load_config = load_config
+        ModelRunnerBase.__init__(self, vllm_config=vllm_config)
+        cache_config = self.cache_config
+        model_config = self.model_config
         self.is_driver_worker = is_driver_worker
 
         self.device = self.device_config.device
@@ -350,3 +337,9 @@ def execute_model(
             sampling_metadata=sampling_metadata,
         )
         return output
+
+    def prepare_model_input(self, *args, **kwargs):
+        raise NotImplementedError
+
+    def make_model_input_from_broadcasted_tensor_dict(self, *args, **kwargs):
+        raise NotImplementedError
diff --git a/vllm/worker/openvino_worker.py b/vllm/worker/openvino_worker.py
index a420d390c1ae4..ced5cdddab423 100644
--- a/vllm/worker/openvino_worker.py
+++ b/vllm/worker/openvino_worker.py
@@ -7,9 +7,8 @@
 
 import vllm.envs as envs
 from vllm.attention import get_attn_backend
-from vllm.config import (CacheConfig, DeviceConfig, LoadConfig, LoRAConfig,
-                         ModelConfig, MultiModalConfig, ParallelConfig,
-                         SchedulerConfig)
+from vllm.config import (CacheConfig, DeviceConfig, EngineConfig, ModelConfig,
+                         ParallelConfig)
 from vllm.distributed import (broadcast_tensor_dict,
                               ensure_model_parallel_initialized,
                               init_distributed_environment)
@@ -22,7 +21,7 @@
 from vllm.sampling_params import SamplingParams
 from vllm.sequence import ExecuteModelRequest, SequenceGroupMetadata
 from vllm.worker.openvino_model_runner import OpenVINOModelRunner
-from vllm.worker.worker_base import LoraNotSupportedWorkerBase
+from vllm.worker.worker_base import LoraNotSupportedWorkerBase, WorkerBase
 
 logger = init_logger(__name__)
 
@@ -212,33 +211,19 @@ class OpenVINOWorker(LoraNotSupportedWorkerBase):
     def __init__(
         self,
         ov_core: ov.Core,
-        model_config: ModelConfig,
-        parallel_config: ParallelConfig,
-        scheduler_config: SchedulerConfig,
-        device_config: DeviceConfig,
-        cache_config: CacheConfig,
-        load_config: LoadConfig,
+        vllm_config: EngineConfig,
         local_rank: int,
         rank: int,
         distributed_init_method: str,
-        lora_config: Optional[LoRAConfig] = None,
-        multimodal_config: Optional[MultiModalConfig] = None,
         kv_cache_dtype: Optional[ov.Type] = ov.Type.undefined,
         is_driver_worker: bool = False,
     ) -> None:
         self.ov_core = ov_core
-        self.model_config = model_config
-        self.parallel_config = parallel_config
+        WorkerBase.__init__(self, vllm_config)
         self.parallel_config.rank = rank
-        self.scheduler_config = scheduler_config
-        self.device_config = device_config
-        self.cache_config = cache_config
-        self.load_config = load_config
         self.local_rank = local_rank
         self.rank = rank
         self.distributed_init_method = distributed_init_method
-        self.lora_config = lora_config
-        self.multimodal_config = multimodal_config
         self.is_driver_worker = is_driver_worker
         if self.is_driver_worker:
             assert self.rank == 0, "The driver worker must have rank 0."
@@ -250,14 +235,7 @@ def __init__(
             init_cached_hf_modules()
         self.model_runner = OpenVINOModelRunner(
             self.ov_core,
-            model_config,
-            parallel_config,
-            scheduler_config,
-            device_config,
-            cache_config,
-            load_config=self.load_config,
-            lora_config=self.lora_config,
-            multimodal_config=self.multimodal_config,
+            vllm_config=self.vllm_config,
             kv_cache_dtype=kv_cache_dtype,
             is_driver_worker=is_driver_worker,
         )