[Model] Add support for LightOnOCR (#26916)

Signed-off-by: Said Taghadouini <taghadouinisaid@gmail.com>
Signed-off-by: Said Taghadouini <84044788+staghado@users.noreply.github.com>
Co-authored-by: Cyrus Leung <cyrus.tl.leung@gmail.com>

examples/offline_inference/vision_language.py

@@ -734,6 +734,26 @@ def run_kimi_vl(questions: list[str], modality: str) -> ModelRequestData:
     )
 
 
+# LightOnOCR
+def run_lightonocr(questions: list[str], modality: str) -> ModelRequestData:
+    assert modality == "image"
+
+    prompts = [
+        "<|im_start|>system<|im_end|>\n<|im_start|>user\n<|image_pad|><|im_end|>\n<|im_start|>assistant\n"
+        for _ in questions
+    ]
+
+    engine_args = EngineArgs(
+        model="lightonai/LightOnOCR-1B",
+        limit_mm_per_prompt={modality: 1},
+    )
+
+    return ModelRequestData(
+        engine_args=engine_args,
+        prompts=prompts,
+    )
+
+
 def run_llama4(questions: list[str], modality: str) -> ModelRequestData:
     assert modality == "image"
 
@@ -1709,6 +1729,7 @@ model_example_map = {
     "keye_vl": run_keye_vl,
     "keye_vl1_5": run_keye_vl1_5,
     "kimi_vl": run_kimi_vl,
+    "lightonocr": run_lightonocr,
     "llama4": run_llama4,
     "llava": run_llava,
     "llava-next": run_llava_next,