Fix: bug llm_config

configuration_internvl_chat.py

@@ -47,6 +47,7 @@ class InternVLChatConfig(PretrainedConfig):
             logger.info('llm_config is None. Initializing the LlamaConfig config with default values (`LlamaConfig`).')
 
         self.vision_config = InternVisionConfig(**vision_config)
+        self.llm_config = None
         if llm_config.get('architectures', None) is not None:
             if llm_config.get('architectures')[0] == 'LlamaForCausalLM':
                 self.llm_config = LlamaConfig(**llm_config)
@@ -82,7 +83,7 @@ class InternVLChatConfig(PretrainedConfig):
         """
         output = copy.deepcopy(self.__dict__)
         output['vision_config'] = self.vision_config.to_dict()
-        output['llm_config'] = self.llm_config.to_dict()
+        output['llm_config'] = self.llm_config.to_dict() if self.llm_config is not None else {}
         output['model_type'] = self.__class__.model_type
         output['use_backbone_lora'] = self.use_backbone_lora
         output['use_llm_lora'] = self.use_llm_lora