add deepseekv3 and llama4

vllm-v0.6.2/vllm/model_executor/model_loader/utils.py

@@ -21,10 +21,6 @@ def set_default_torch_dtype(dtype: torch.dtype):
 def get_model_architecture(
         model_config: ModelConfig) -> Tuple[Type[nn.Module], str]:
     architectures = getattr(model_config.hf_config, "architectures", None) or []
-    print(f"[DEBUG-ARCH] get_model_architecture: "
-          f"type(hf_config)={type(model_config.hf_config).__name__}, "
-          f"architectures={getattr(model_config.hf_config, 'architectures', 'MISSING')}, "
-          f"id(hf_config)={id(model_config.hf_config)}")
     # Special handling for quantized Mixtral.
     # FIXME(woosuk): This is a temporary hack.
     mixtral_supported = [

vllm-v0.6.2/vllm/model_executor/models/llama4.py

@@ -450,7 +450,10 @@ class Llama4ForCausalLM(nn.Module, SupportsPP):
         # which has text_config sub-config. Extract it for text model.
         text_config = getattr(config, "text_config", None)
         if text_config is not None:
+            orig_archs = getattr(config, "architectures", None)
             vllm_config.model_config.hf_config = text_config
+            if orig_archs and not getattr(text_config, "architectures", None):
+                text_config.architectures = orig_archs
             config = text_config
         quant_config = vllm_config.quant_config
         lora_config = vllm_config.lora_config

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

@@ -230,11 +230,6 @@ def get_config(
         config.update({"architectures": [model_type]})
 
     # Architecture mapping for models without explicit architectures field
-    logger.warning("[DEBUG-ARCH] after load: type(config)=%s, "
-                   "config.architectures=%s, config.model_type=%s",
-                   type(config).__name__,
-                   getattr(config, "architectures", "MISSING"),
-                   getattr(config, "model_type", "MISSING"))
     if not getattr(config, "architectures", None):
         if config.model_type not in MODEL_MAPPING_NAMES:
             logger.warning(