diff --git a/yolort/runtime/ort_helper.py b/yolort/runtime/ort_helper.py
index 5ba21cc0..042f5a2b 100644
--- a/yolort/runtime/ort_helper.py
+++ b/yolort/runtime/ort_helper.py
@@ -20,6 +20,7 @@ def export_onnx(
     skip_preprocess: bool = False,
     opset_version: int = 11,
     batch_size: int = 1,
+    half: bool = False,
 ) -> None:
     """
     Export to ONNX models that can be used for ONNX Runtime inferencing.
@@ -55,6 +56,7 @@ def export_onnx(
         skip_preprocess=skip_preprocess,
         opset_version=opset_version,
         batch_size=batch_size,
+        half=half,
     )
 
     onnx_builder.to_onnx(onnx_path)
@@ -94,6 +96,7 @@ def __init__(
         skip_preprocess: bool = False,
         opset_version: int = 11,
         batch_size: int = 1,
+        half: bool = False,
     ) -> None:
 
         super().__init__()
@@ -111,6 +114,7 @@ def __init__(
         if model is None:
             model = self._build_model()
         self.model = model
+        self.half = half
 
         # For exporting ONNX model
         self._opset_version = opset_version
@@ -215,3 +219,15 @@ def to_onnx(self, onnx_path: str, **kwargs):
             dynamic_axes=self.dynamic_axes,
             **kwargs,
         )
+        if self.half:
+            try:
+                import onnxmltools
+                from onnxmltools.utils.float16_converter import convert_float_to_float16
+            except Exception as e:
+                print(
+                    f"onnxmltools dependency should be installed,do not build fp16 onnx,error message is {e}"
+                )
+            else:
+                onnxFP32 = onnxmltools.utils.load_model(onnx_path)
+                onnxFP16 = convert_float_to_float16(onnxFP32)
+                onnxmltools.utils.save_model(onnxFP16, onnx_path)