[Bugfix] Use lazy string reference for DeepseekV3Config in config registry (#28958)

Signed-off-by: Luke <[email protected]>
Signed-off-by: Isotr0py <[email protected]>
Co-authored-by: Isotr0py <[email protected]>

Author: yongming-qin

vllm/transformers_utils/config.py

@@ -27,7 +27,7 @@
     RevisionNotFoundError,
 )
 from packaging.version import Version
-from transformers import DeepseekV3Config, GenerationConfig, PretrainedConfig
+from transformers import GenerationConfig, PretrainedConfig
 from transformers.configuration_utils import ALLOWED_LAYER_TYPES
 from transformers.models.auto.image_processing_auto import get_image_processor_config
 from transformers.models.auto.modeling_auto import (
@@ -84,7 +84,7 @@ def __getitem__(self, key):
     afmoe="AfmoeConfig",
     chatglm="ChatGLMConfig",
     deepseek_vl_v2="DeepseekVLV2Config",
-    deepseek_v32=DeepseekV3Config,
+    deepseek_v32="DeepseekV3Config",
     flex_olmo="FlexOlmoConfig",
     kimi_linear="KimiLinearConfig",
     kimi_vl="KimiVLConfig",

vllm/transformers_utils/configs/__init__.py

@@ -5,8 +5,13 @@
 
 - There is no configuration file defined by HF Hub or Transformers library.
 - There is a need to override the existing config to support vLLM.
+- The HF model_type isn't recognized by the Transformers library but can
+  be mapped to an existing Transformers config, such as
+  deepseek-ai/DeepSeek-V3.2-Exp.
 """
 
+from transformers import DeepseekV3Config
+
 from vllm.transformers_utils.configs.afmoe import AfmoeConfig
 from vllm.transformers_utils.configs.chatglm import ChatGLMConfig
 from vllm.transformers_utils.configs.deepseek_vl2 import DeepseekVLV2Config
@@ -44,6 +49,7 @@
     "AfmoeConfig",
     "ChatGLMConfig",
     "DeepseekVLV2Config",
+    "DeepseekV3Config",
     "DotsOCRConfig",
     "EAGLEConfig",
     "FlexOlmoConfig",