add deepseekv3 and llama4

vllm-v0.6.2/vllm/model_executor/models/registry.py

@@ -483,6 +483,7 @@ class _ModelRegistry:
             architectures = [architectures]
         if not architectures:
             logger.warning("No model architectures are specified")
+            return []
 
         return architectures
 

vllm-v0.6.2/vllm/transformers_utils/config.py

@@ -229,6 +229,14 @@ def get_config(
         model_type = MODEL_FOR_CAUSAL_LM_MAPPING_NAMES[config.model_type]
         config.update({"architectures": [model_type]})
 
+    # Some composite config classes (e.g. Llama4Config) may not preserve
+    # the 'architectures' field from config.json. Restore it from the
+    # raw config_dict if needed.
+    if config_format == ConfigFormat.HF:
+        raw_archs = config_dict.get("architectures")
+        if raw_archs and not getattr(config, "architectures", None):
+            config.architectures = raw_archs
+
     patch_rope_scaling(config)
 
     if trust_remote_code: