[Config] add "qwen" as a native eagle3 target supported model

tests/v1/e2e/test_spec_decode.py

@@ -125,6 +125,8 @@ def test_ngram_correctness(
 
 @pytest.mark.parametrize(
     ["model_setup", "mm_enabled"], [
+        (("eagle3", "Qwen/Qwen3-8B",
+          "AngelSlim/Qwen3-8B_eagle3", 1), False),
         (("eagle", "meta-llama/Llama-3.1-8B-Instruct",
           "yuhuili/EAGLE-LLaMA3.1-Instruct-8B", 1), False),
         (("eagle3", "meta-llama/Llama-3.1-8B-Instruct",
@@ -140,7 +142,7 @@ def test_ngram_correctness(
             True,
             marks=pytest.mark.skip(reason="Skipping due to CI OOM issues")),
     ],
-    ids=["llama3_eagle", "llama3_eagle3", "llama4_eagle", "llama4_eagle_mm"])
+    ids=["qwen3_eagle3", "llama3_eagle", "llama3_eagle3", "llama4_eagle", "llama4_eagle_mm"])
 def test_eagle_correctness(
     monkeypatch: pytest.MonkeyPatch,
     sampling_config: SamplingParams,

vllm/config.py

@@ -3224,13 +3224,7 @@ def _verify_args(self) -> Self:
                              "speculative decoding is > 1, but got "
                              f"{self.disable_by_batch_size=}")
 
-        from vllm.transformers_utils.configs import SpeculatorsConfig
-
-        eagle3_target_supported = ["llama"]
-        if self.draft_model_config and isinstance(
-                self.draft_model_config.hf_config, SpeculatorsConfig):
-            eagle3_target_supported.append("qwen")
-
+        eagle3_target_supported = ["llama", "qwen"]
         if self.method == "eagle3" and self.target_model_config and not any(
                 supported_model in
                 self.target_model_config.hf_text_config.model_type