diff --git a/vllm/config.py b/vllm/config.py
index ff9579a4bb1e6..d24082799d00b 100644
--- a/vllm/config.py
+++ b/vllm/config.py
@@ -2573,6 +2573,11 @@ class LoRAConfig:
             logger.warning("LoRA with chunked prefill is still experimental "
                            "and may be unstable.")
 
+    def verify_lora_support(self):
+        if self.long_lora_scaling_factors is not None and envs.VLLM_USE_V1:
+            raise ValueError(
+                "V1 LoRA does not support long LoRA, please use V0.")
+
 
 @dataclass
 class PromptAdapterConfig:
@@ -3672,6 +3677,7 @@ class VllmConfig:
             self.lora_config.verify_with_model_config(self.model_config)
             self.lora_config.verify_with_scheduler_config(
                 self.scheduler_config)
+            self.lora_config.verify_lora_support()
         if self.prompt_adapter_config:
             self.prompt_adapter_config.verify_with_model_config(
                 self.model_config)
diff --git a/vllm/lora/models.py b/vllm/lora/models.py
index 8164d919ca8b4..81e0741a03cf7 100644
--- a/vllm/lora/models.py
+++ b/vllm/lora/models.py
@@ -364,7 +364,7 @@ class LoRAModelManager(AdapterModelManager):
         self._last_mapping: Optional[LoRAMapping] = None
         self._create_lora_modules()
         self.model.lora_manager = self
-        self.adapter_type = 'LoRa'
+        self.adapter_type = 'LoRA'
 
     @property
     def capacity(self) -> int: