support added for HF SmolLM3-3B

docs/source/openvino/models.mdx

@@ -150,6 +150,7 @@ Here is the list of the supported architectures :
 - SEW-D
 - SegFormer
 - SigLIP
+- SmolLM3
 - SmolVLM (SmolVLM2)
 - SpeechT5 (text-to-speech)
 - SqueezeBERT

optimum/exporters/openvino/model_configs.py

@@ -604,6 +604,22 @@ class MiniCPM3OpenVINOConfig(TextDecoderWithPositionIdsOnnxConfig):
     _MODEL_PATCHER = MiniCPM3Patcher
 
 
+@register_in_tasks_manager(
+    "smollm3",
+    *[
+        "feature-extraction",
+        "feature-extraction-with-past",
+        "text-generation",
+        "text-generation-with-past",
+        "text-classification",
+    ],
+    library_name="transformers",
+)
+class SmolLM3OpenVINOConfig(LlamaOnnxConfig):
+    MIN_TRANSFORMERS_VERSION = "4.53.0"
+    _MODEL_PATCHER = OVDecoderModelPatcher
+
+
 @register_in_tasks_manager("stablelm", *["text-generation", "text-generation-with-past"], library_name="transformers")
 class StableLMOpenVINOConfig(TextDecoderWithPositionIdsOnnxConfig):
     DEFAULT_ONNX_OPSET = 14

optimum/exporters/openvino/utils.py

@@ -395,7 +395,6 @@ def _get_kokoro_submodels(model):
     "rt_detr",
     "rt_detr_v2",
     "siglip_vision_model",
-    "smollm3",
     "speech_to_text",
     "splinter",
     "swin2sr",

tests/openvino/test_decoder.py

@@ -134,7 +134,7 @@ class OVModelForCausalLMIntegrationTest(unittest.TestCase):
         SUPPORTED_ARCHITECTURES += ("glm4",)
 
     if is_transformers_version(">=", "4.53.0"):
-        SUPPORTED_ARCHITECTURES += ("arcee",)
+        SUPPORTED_ARCHITECTURES += ("arcee", "smollm3")
 
     # TODO: add fix for v5 and update MAX_TRANSFORMERS_VERSION accordingly
     if is_transformers_version(">=", "4.52.1") and is_transformers_version("<", "5"):
@@ -253,6 +253,7 @@ class OVModelForCausalLMIntegrationTest(unittest.TestCase):
         "mamba": 0,
         "falcon_mamba": 0,
         "arcee": 2,
+        "smollm3": 2,
         "gpt_oss": 2,
         "gpt_oss_mxfp4": 2,
         "zamba2": 1,

tests/openvino/test_export.py

@@ -103,7 +103,7 @@ class ExportModelTest(unittest.TestCase):
         SUPPORTED_ARCHITECTURES.update({"zamba2": OVModelForCausalLM})
 
     if is_transformers_version(">=", "4.53.0"):
-        SUPPORTED_ARCHITECTURES.update({"granitemoehybrid": OVModelForCausalLM})
+        SUPPORTED_ARCHITECTURES.update({"granitemoehybrid": OVModelForCausalLM, "smollm3": OVModelForCausalLM})
 
     if is_transformers_version(">=", "4.54") and is_transformers_version("<", "5"):
         SUPPORTED_ARCHITECTURES.update({"exaone4": OVModelForCausalLM, "lfm2": OVModelForCausalLM})

tests/openvino/test_exporters_cli.py

@@ -27,6 +27,7 @@
     AutoTokenizer,
 )
 from utils_tests import (
+    _ARCHITECTURES_INT8_TASK_OVERRIDES,
     _ARCHITECTURES_TO_EXPECTED_INT8,
     MODEL_NAMES,
     OPENVINO_DEVICE,
@@ -163,6 +164,9 @@ class OVCLIExportTestCase(unittest.TestCase):
         SUPPORTED_ARCHITECTURES.extend(
             [
                 ("text-generation-with-past", "granitemoehybrid"),
+                ("text-generation-with-past", "smollm3"),
+                ("text-classification", "smollm3"),
+                ("feature-extraction", "smollm3"),
             ]
         )
 
@@ -228,6 +232,7 @@ class OVCLIExportTestCase(unittest.TestCase):
         "exaone4": 2,
         "bitnet": 2,
         "granitemoehybrid": 2,
+        "smollm3": 2,
         "qwen3_vl_eagle3": 0,
     }
 
@@ -1156,7 +1161,10 @@ def test_exporters_cli_int8(self, task: str, model_type: str):
             else:
                 automodel_cls = _HEAD_TO_AUTOMODELS[model_type.replace("-refiner", "")]
             model = eval(automodel_cls).from_pretrained(tmpdir, **model_kwargs)
-            expected_int8 = _ARCHITECTURES_TO_EXPECTED_INT8[model_type]
+            expected_int8 = (
+                _ARCHITECTURES_INT8_TASK_OVERRIDES.get(model_type, {}).get(task)
+                or _ARCHITECTURES_TO_EXPECTED_INT8[model_type]
+            )
             expected_int8 = {k: {"int8": v} for k, v in expected_int8.items()}
             if task.startswith("text2text-generation") and (not task.endswith("with-past") or model.decoder.stateful):
                 del expected_int8["decoder_with_past"]

tests/openvino/test_genai.py

@@ -173,7 +173,7 @@ class LLMPipelineTestCase(unittest.TestCase):
     if is_transformers_version(">=", "4.51.3"):
         ALL_SUPPORTED_ARCHITECTURES += ("glm4",)
     if is_transformers_version(">=", "4.53.0"):
-        ALL_SUPPORTED_ARCHITECTURES += ("arcee",)
+        ALL_SUPPORTED_ARCHITECTURES += ("arcee", "smollm3")
     if is_transformers_version(">=", "4.54.0") and is_transformers_version("<", "5"):
         ALL_SUPPORTED_ARCHITECTURES += ("exaone4",)
     if is_transformers_version(">=", "4.55.1"):

tests/openvino/test_quantization.py

@@ -1074,6 +1074,9 @@ class OVWeightCompressionTest(unittest.TestCase):
     if is_transformers_version(">=", "4.48.0"):
         SUPPORTED_ARCHITECTURES_WITH_AUTO_COMPRESSION.append((OVModelForCausalLM, "cohere2", False))
 
+    if is_transformers_version(">=", "4.53.0"):
+        SUPPORTED_ARCHITECTURES_WITH_AUTO_COMPRESSION.append((OVModelForCausalLM, "smollm3", False))
+
     if is_transformers_version(">=", "4.54.0") and is_transformers_version("<", "5"):
         SUPPORTED_ARCHITECTURES_WITH_AUTO_COMPRESSION.append((OVModelForCausalLM, "exaone4", True))
 

tests/openvino/utils_tests.py

@@ -304,6 +304,7 @@ def _create_tiny_kokoro_model():
     "segformer": "optimum-intel-internal-testing/tiny-random-SegformerModel",
     "sentence-transformers-bert": "optimum-intel-internal-testing/stsb-bert-tiny-safetensors",
     "sam": "optimum-intel-internal-testing/sam-vit-tiny-random",
+    "smollm3": "optimum-intel-internal-testing/tiny-random-smollm3",
     "smolvlm": "optimum-intel-internal-testing/tiny-random-smolvlm2",
     "speecht5": "optimum-intel-internal-testing/tiny-random-SpeechT5ForTextToSpeech",
     "speech_to_text": "optimum-intel-internal-testing/tiny-random-Speech2TextModel",
@@ -543,13 +544,20 @@ def _create_tiny_kokoro_model():
         "vision_embeddings_model": 10,
         "text_embeddings_per_layer_model": 0,
     },
+    "smollm3": {"model": 30},
     "qwen3_asr": {
         "encoder": 36,
         "decoder": 30,
         "decoder_with_past": 30,
     },
 }
 
+_ARCHITECTURES_INT8_TASK_OVERRIDES = {
+    "smollm3": {
+        "text-classification": {"model": 32},
+    },
+}
+
 TEST_IMAGE_URL = "http://images.cocodataset.org/val2017/000000039769.jpg"
 
 REMOTE_CODE_MODELS = (