[Config] add "qwen" as a native eagle3 target supported model (#22333)

Signed-off-by: lechen <lecself@163.com>
Signed-off-by: LeChen <lecself@163.com>

tests/models/registry.py

@@ -525,6 +525,10 @@ _SPECULATIVE_DECODING_EXAMPLE_MODELS = {
                                             trust_remote_code=True,
                                             speculative_model="yuhuili/EAGLE3-LLaMA3.1-Instruct-8B",
                                             tokenizer="meta-llama/Llama-3.1-8B-Instruct"),
+    "LlamaForCausalLMEagle3": _HfExamplesInfo("AngelSlim/Qwen3-8B_eagle3",  # noqa: E501
+                                              trust_remote_code=True,
+                                              speculative_model="AngelSlim/Qwen3-8B_eagle3",
+                                              tokenizer="Qwen/Qwen3-8B"),
     "EagleLlama4ForCausalLM": _HfExamplesInfo(
         "morgendave/EAGLE-Llama-4-Scout-17B-16E-Instruct",
         trust_remote_code=True,

tests/v1/e2e/test_spec_decode.py

@@ -125,24 +125,27 @@ def test_ngram_correctness(
         cleanup_dist_env_and_memory()
 
 
-@pytest.mark.parametrize(
-    ["model_setup", "mm_enabled"], [
-        (("eagle", "meta-llama/Llama-3.1-8B-Instruct",
-          "yuhuili/EAGLE-LLaMA3.1-Instruct-8B", 1), False),
-        (("eagle3", "meta-llama/Llama-3.1-8B-Instruct",
-          "yuhuili/EAGLE3-LLaMA3.1-Instruct-8B", 1), False),
-        pytest.param(
-            ("eagle", "meta-llama/Llama-4-Scout-17B-16E-Instruct",
-             "morgendave/EAGLE-Llama-4-Scout-17B-16E-Instruct", 4),
-            False,
-            marks=pytest.mark.skip(reason="Skipping due to CI OOM issues")),
-        pytest.param(
-            ("eagle", "meta-llama/Llama-4-Scout-17B-16E-Instruct",
-             "morgendave/EAGLE-Llama-4-Scout-17B-16E-Instruct", 4),
-            True,
-            marks=pytest.mark.skip(reason="Skipping due to CI OOM issues")),
-    ],
-    ids=["llama3_eagle", "llama3_eagle3", "llama4_eagle", "llama4_eagle_mm"])
+@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",
+      "yuhuili/EAGLE3-LLaMA3.1-Instruct-8B", 1), False),
+    pytest.param(
+        ("eagle", "meta-llama/Llama-4-Scout-17B-16E-Instruct",
+         "morgendave/EAGLE-Llama-4-Scout-17B-16E-Instruct", 4),
+        False,
+        marks=pytest.mark.skip(reason="Skipping due to CI OOM issues")),
+    pytest.param(
+        ("eagle", "meta-llama/Llama-4-Scout-17B-16E-Instruct",
+         "morgendave/EAGLE-Llama-4-Scout-17B-16E-Instruct", 4),
+        True,
+        marks=pytest.mark.skip(reason="Skipping due to CI OOM issues")),
+],
+                         ids=[
+                             "qwen3_eagle3", "llama3_eagle", "llama3_eagle3",
+                             "llama4_eagle", "llama4_eagle_mm"
+                         ])
 @pytest.mark.parametrize("attn_backend",
                          get_attn_backend_list_based_on_platform())
 def test_eagle_correctness(

vllm/config/__init__.py

@@ -2852,13 +2852,7 @@ class SpeculativeConfig:
                              "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

vllm/model_executor/models/registry.py

@@ -259,6 +259,7 @@ _SPECULATIVE_DECODING_MODELS = {
     "EagleLlama4ForCausalLM": ("llama4_eagle", "EagleLlama4ForCausalLM"),
     "EagleMiniCPMForCausalLM": ("minicpm_eagle", "EagleMiniCPMForCausalLM"),
     "Eagle3LlamaForCausalLM": ("llama_eagle3", "Eagle3LlamaForCausalLM"),
+    "LlamaForCausalLMEagle3": ("llama_eagle3", "Eagle3LlamaForCausalLM"),
     "DeepSeekMTPModel": ("deepseek_mtp", "DeepSeekMTP"),
     "Glm4MoeMTPModel": ("glm4_moe_mtp", "Glm4MoeMTP"),
     "MedusaModel": ("medusa", "Medusa"),

vllm/transformers_utils/configs/eagle.py

@@ -45,6 +45,7 @@ class EAGLEConfig(PretrainedConfig):
 
         # Eagle model name should follow naming convention of
         # LlamaForCausalLM -> EagleLlamaForCausalLM
+        # LlamaForCausalLM -> Eagle3LlamaForCausalLM / LlamaForCausalLMEagle3
         if method == "eagle":
             assert self.model is not None, \
                 "model should not be None when method is eagle"
@@ -56,8 +57,8 @@ class EAGLEConfig(PretrainedConfig):
             assert self.model is not None, \
                 "model should not be None when method is eagle3"
             kwargs["architectures"] = [
-                f"Eagle3{arch}" if not arch.startswith("Eagle3") \
-                    else arch for arch in self.model.architectures
+                arch if arch.startswith("Eagle3") or arch.endswith("Eagle3")
+                else f"Eagle3{arch}" for arch in self.model.architectures
             ]
         else:
             raise ValueError(f"Invalid method {method}. \