add qwen3

vllm-v0.6.2/tests/samplers/test_ignore_eos.py

@@ -0,0 +1,33 @@
+"""Make sure ignore_eos works.
+
+Run `pytest tests/samplers/test_ignore_eos.py`.
+"""
+
+import pytest
+
+from vllm import SamplingParams
+
+# We also test with llama because it has generation_config to specify EOS
+# (past regression).
+MODELS = ["facebook/opt-125m", "meta-llama/Llama-2-7b-hf"]
+
+
+@pytest.mark.parametrize("model", MODELS)
+@pytest.mark.parametrize("dtype", ["half"])
+@pytest.mark.parametrize("max_tokens", [512])
+def test_ignore_eos(
+    vllm_runner,
+    example_prompts,
+    model: str,
+    dtype: str,
+    max_tokens: int,
+) -> None:
+    with vllm_runner(model, dtype=dtype) as vllm_model:
+        sampling_params = SamplingParams(max_tokens=max_tokens,
+                                         ignore_eos=True)
+
+        for prompt in example_prompts:
+            ignore_eos_output = vllm_model.model.generate(
+                prompt, sampling_params=sampling_params)
+            output_length = len(ignore_eos_output[0].outputs[0].token_ids)
+            assert output_length == max_tokens