diff --git a/olive/passes/onnx/common.py b/olive/passes/onnx/common.py
index 8d3d5bb28..e5e1dee86 100644
--- a/olive/passes/onnx/common.py
+++ b/olive/passes/onnx/common.py
@@ -620,6 +620,7 @@ def process_llm_pipeline(
     output_dir: Union[str, Path],
     decoder_config_extra: Optional[dict[str, Any]] = None,
     group_session_options: Optional[dict[str, Any]] = None,
+    group_run_options: Optional[dict[str, Any]] = None,
 ) -> CompositeModelHandler:
     """Process an LLM pipeline with the given function.
 
@@ -631,6 +632,7 @@ def process_llm_pipeline(
     :param output_dir: The directory to save the processed model.
     :param decoder_config_extra: Extra configuration for the decoder.
     :param group_session_options: Session options for the context and iterator groups.
+    :param group_run_options: Run options for the context and iterator groups.
     :return: The processed composite model handler.
     """
     output_dir = Path(output_dir)
@@ -673,6 +675,7 @@ def process_llm_pipeline(
         source_llm_pipeline=llm_pipeline,
         decoder_config_extra=decoder_config_extra,
         group_session_options=group_session_options,
+        group_run_options=group_run_options,
     )
 
 
@@ -681,6 +684,7 @@ def update_llm_pipeline_genai_config(
     source_llm_pipeline: Optional[dict[str, Any]] = None,
     decoder_config_extra: Optional[dict[str, Any]] = None,
     group_session_options: Optional[dict[str, Any]] = None,
+    group_run_options: Optional[dict[str, Any]] = None,
 ) -> CompositeModelHandler:
     """Update the LLM pipeline in the model's genai_config.json file.
 
@@ -688,6 +692,7 @@ def update_llm_pipeline_genai_config(
     :param source_llm_pipeline: The source LLM pipeline to use for the update.
     :param decoder_config_extra: Extra configuration for the decoder.
     :param group_session_options: Session options for the context and iterator groups.
+    :param group_run_options: Run options for the context and iterator groups.
     :return: The updated composite model.
     """
     if not model.model_path or not Path(model.model_path).is_dir():
@@ -737,6 +742,9 @@ def update_llm_pipeline_genai_config(
         group_session_options = group_session_options or decoder_config.get("pipeline", [{}])[0].get(
             source_llm_pipeline["context"][0], {}
         ).get("session_options")
+        group_run_options = group_run_options or decoder_config.get("pipeline", [{}])[0].get(
+            source_llm_pipeline["context"][0], {}
+        ).get("run_options")
     # update pipeline config
     component_models = dict(model.get_model_components())
     pipeline_config = {}
@@ -758,6 +766,8 @@ def update_llm_pipeline_genai_config(
         for name in llm_pipeline[group]:
             if group_session_options:
                 pipeline_config[name]["session_options"] = group_session_options
+            if group_run_options:
+                pipeline_config[name]["run_options"] = group_run_options
             pipeline_config[name][f"run_on_{dont_run_on}"] = False
 
     pipeline_config[llm_pipeline["lm_head"]]["is_lm_head"] = True
diff --git a/olive/passes/onnx/context_binary.py b/olive/passes/onnx/context_binary.py
index d802fcc57..e3745ab26 100644
--- a/olive/passes/onnx/context_binary.py
+++ b/olive/passes/onnx/context_binary.py
@@ -56,6 +56,11 @@ def _default_config(cls, accelerator_spec: AcceleratorSpec) -> dict[str, PassCon
                 default_value=None,
                 description="Session options for the EP.",
             ),
+            "run_options": PassConfigParam(
+                type_=dict,
+                default_value=None,
+                description="Run options for the EP.",
+            ),
             "disable_cpu_fallback": PassConfigParam(
                 type_=bool,
                 default_value=False,
@@ -150,6 +155,7 @@ def process_context_iterator(component_models, llm_pipeline, output_dir):
             group_session_options["provider_options"] = [
                 {self.accelerator_spec.execution_provider.lower().replace("executionprovider", ""): provider_options}
             ]
+            group_run_options = config.run_options
 
             return process_llm_pipeline(
                 model,
@@ -157,6 +163,7 @@ def process_context_iterator(component_models, llm_pipeline, output_dir):
                 process_context_iterator,
                 output_model_path,
                 group_session_options=group_session_options,
+                group_run_options=group_run_options,
             )
 
         new_component_models = self._generate_composite_binaries(