[Model] Add smolvlm support (#16017)

Signed-off-by: chaunceyjiang <chaunceyjiang@gmail.com>

vllm/model_executor/models/smolvlm.py

@@ -0,0 +1,51 @@
+# SPDX-License-Identifier: Apache-2.0
+
+from typing import Dict, Optional
+
+from transformers import SmolVLMProcessor
+
+from vllm.config import VllmConfig
+from vllm.multimodal import MULTIMODAL_REGISTRY
+
+# yapf: disable
+from .idefics3 import Idefics3DummyInputsBuilder as SmolVLMDummyInputsBuilder
+from .idefics3 import Idefics3ForConditionalGeneration
+from .idefics3 import Idefics3MultiModalProcessor as SmolVLMMultiModalProcessor
+from .idefics3 import Idefics3ProcessingInfo
+
+# yapf: enable
+
+
+class SmolVLMProcessingInfo(Idefics3ProcessingInfo):
+
+    def get_hf_processor(
+        self,
+        *,
+        max_image_size: Optional[Dict[str, int]] = None,
+        **kwargs: object,
+    ) -> SmolVLMProcessor:
+        if max_image_size is not None:
+            kwargs["max_image_size"] = max_image_size
+
+        return self.ctx.get_hf_processor(SmolVLMProcessor, **kwargs)
+
+    def _get_image_token(
+            self, processor: Optional[SmolVLMProcessor]) -> tuple[str, str]:
+        if processor is None:
+            processor = self.get_hf_processor()
+        image_token = processor.image_token
+        fake_image_token = processor.fake_image_token
+        global_image_token = processor.global_image_token
+        return image_token, fake_image_token, global_image_token
+
+
+@MULTIMODAL_REGISTRY.register_processor(SmolVLMMultiModalProcessor,
+                                        info=SmolVLMProcessingInfo,
+                                        dummy_inputs=SmolVLMDummyInputsBuilder)
+class SmolVLMForConditionalGeneration(Idefics3ForConditionalGeneration):
+
+    def __init__(self, *, vllm_config: VllmConfig, prefix: str = ""):
+        super().__init__(
+            vllm_config=vllm_config,
+            prefix=prefix,
+        )