add qwen3

vllm-v0.6.2/tests/models/encoder_decoder/vision_language/test_broadcast.py

@@ -0,0 +1,35 @@
+import pytest
+
+from ....utils import multi_gpu_test
+
+
+@multi_gpu_test(num_gpus=2)
+@pytest.mark.parametrize("distributed_executor_backend", ["ray", "mp"])
+@pytest.mark.parametrize("model", [
+    "meta-llama/Llama-3.2-11B-Vision-Instruct",
+])
+def test_models(hf_runner, vllm_runner, image_assets,
+                distributed_executor_backend, model) -> None:
+
+    dtype = "half"
+    max_tokens = 5
+    num_logprobs = 5
+    tensor_parallel_size = 2
+
+    if model.startswith("meta-llama/Llama-3.2-11B-Vision-Instruct"):
+        from .test_mllama import models, run_test
+    else:
+        raise NotImplementedError(f"Unsupported model: {model}")
+
+    run_test(
+        hf_runner,
+        vllm_runner,
+        image_assets,
+        model=models[0],
+        size_factors=[0.25, 0.5, 1.0],
+        dtype=dtype,
+        max_tokens=max_tokens,
+        num_logprobs=num_logprobs,
+        tensor_parallel_size=tensor_parallel_size,
+        distributed_executor_backend=distributed_executor_backend,
+    )