[OpenVINO][Draft]support Hunyuan LLM

optimum/exporters/openvino/model_configs.py

@@ -4645,6 +4645,39 @@ def generate_dummy_inputs(self, framework: str = "pt", **kwargs):
 
         return dummy_inputs
 
+class HunyuanDummyPastKeyValuesGenerator(GemmaDummyPastKeyValuesGenerator):
+    def __init__(
+        self,
+        task: str,
+        normalized_config: NormalizedTextConfig,
+        batch_size: int = DEFAULT_DUMMY_SHAPES["batch_size"],
+        sequence_length: int = DEFAULT_DUMMY_SHAPES["sequence_length"],
+        random_batch_size_range: Optional[Tuple[int, int]] = None,
+        random_sequence_length_range: Optional[Tuple[int, int]] = None,
+        **kwargs,
+    ):
+        super().__init__(
+            task=task,
+            normalized_config=normalized_config,
+            batch_size=batch_size,
+            sequence_length=sequence_length,
+            random_batch_size_range=random_batch_size_range,
+            random_sequence_length_range=random_sequence_length_range,
+        )
+        self.head_dim = normalized_config.attention_head_dim
+
+@register_in_tasks_manager("hunyuan_v1_dense", *["text-generation", "text-generation-with-past"], library_name="transformers")
+class HunyuanOpenVINOConfig(TextDecoderWithPositionIdsOnnxConfig):
+    MIN_TRANSFORMERS_VERSION = "4.55.0.dev0"
+
+    DUMMY_INPUT_GENERATOR_CLASSES = (DummyTextInputGenerator, HunyuanDummyPastKeyValuesGenerator)
+    DUMMY_PKV_GENERATOR_CLASS = HunyuanDummyPastKeyValuesGenerator
+    NORMALIZED_CONFIG_CLASS = NormalizedTextConfig
+
+    def patch_model_for_export(
+        self, model: Union["PreTrainedModel", "TFPreTrainedModel"], model_kwargs: Optional[Dict[str, Any]] = None
+    ) -> "ModelPatcher":
+        return OVDecoderModelPatcher(self, model, model_kwargs=model_kwargs)
 
 @register_in_tasks_manager(
     "gpt2",

tests/openvino/test_decoder.py

@@ -135,6 +135,9 @@ class OVModelForCausalLMIntegrationTest(unittest.TestCase):
 
     if is_transformers_version(">=", "4.55.0"):
         SUPPORTED_ARCHITECTURES += ("gpt_oss", "gpt_oss_mxfp4")
+
+    if is_transformers_version(">=", "4.56.0"):
+        SUPPORTED_ARCHITECTURES += ("hunyuan_v1_dense",)
 
     GENERATION_LENGTH = 100
     REMOTE_CODE_MODELS = (
@@ -224,6 +227,11 @@ class OVModelForCausalLMIntegrationTest(unittest.TestCase):
         "mamba": 0,
         "falcon-mamba": 0,
         "arcee": 2,
+<<<<<<< HEAD
+        "ernie4_5": 2,
+        "hunyuan_v1_dense": 2,
+=======
+>>>>>>> upstream/main
     }
 
     # TODO: remove gptq/awq from here

tests/openvino/test_export.py

@@ -102,6 +102,9 @@ class ExportModelTest(unittest.TestCase):
         SUPPORTED_ARCHITECTURES.update({"qwen3": OVModelForFeatureExtraction})
 
     GENERATIVE_MODELS = ("pix2struct", "t5", "bart", "gpt2", "whisper", "llava", "speecht5")
+
+    if is_transformers_version(">=", "4.56"):
+        SUPPORTED_ARCHITECTURES.update({"hunyuan_v1_dense": OVModelForCausalLM})
 
     def _openvino_export(
         self,

tests/openvino/test_exporters_cli.py

@@ -141,6 +141,7 @@ class OVCLIExportTestCase(unittest.TestCase):
         "mamba": 2,
         "falcon-mamba": 2,
         "qwen3": 2,
+        "hunyuan_v1_dense": 2,
     }
 
     TOKENIZER_CHAT_TEMPLATE_TESTS_MODELS = {

tests/openvino/utils_tests.py

@@ -199,6 +199,7 @@
     "sana": "katuni4ka/tiny-random-sana",
     "sana-sprint": "katuni4ka/tiny-random-sana-sprint",
     "ltx-video": "katuni4ka/tiny-random-ltx-video",
+    "hunyuan_v1_dense": "snake7gun/tiny-random-hunyuan",
 }