add qwen3

vllm-v0.6.2/examples/llava_example.py

@@ -0,0 +1,34 @@
+from vllm import LLM, SamplingParams
+from PIL import Image
+from dataclasses import dataclass
+from typing import Literal
+
+
+@dataclass(frozen=True)
+class ImageAssetLocal:
+    name: Literal["stop_sign", "cherry_blossom"]
+    @property
+    def pil_image(self) -> Image.Image:
+        return Image.open(f"tools/ci/ci_files/{self.name}.jpg")
+
+
+def run_llava():
+    llm = LLM(model="/data/AE/llm/models/llava-1.5-7b-hf/")
+    sampling_params = SamplingParams(max_tokens=100)
+
+    prompt = "USER: <image>\nWhat is the content of this image?\nASSISTANT:"
+    image = ImageAssetLocal("stop_sign").pil_image
+    outputs = llm.generate({
+        "prompt": prompt,
+        "multi_modal_data": {
+            "image": image
+        },
+    }, sampling_params=sampling_params)
+
+    for o in outputs:
+        generated_text = o.outputs[0].text
+        print(generated_text)
+
+
+if __name__ == "__main__":
+    run_llava()