diff --git a/src/llmtuner/tuner/core/adapter.py b/src/llmtuner/tuner/core/adapter.py
index cba9b10f..4fcc6e62 100644
--- a/src/llmtuner/tuner/core/adapter.py
+++ b/src/llmtuner/tuner/core/adapter.py
@@ -1,4 +1,3 @@
-import os
 import torch
 from typing import TYPE_CHECKING
 
@@ -8,7 +7,6 @@ from peft import (
     LoraConfig,
     get_peft_model
 )
-from peft.utils import CONFIG_NAME, WEIGHTS_NAME
 
 from llmtuner.extras.logging import get_logger
 from llmtuner.tuner.core.utils import find_all_linear_modules
@@ -63,11 +61,6 @@ def init_adapter(
         latest_checkpoint = None
 
         if model_args.checkpoint_dir is not None:
-            assert os.path.exists(os.path.join(model_args.checkpoint_dir[0], WEIGHTS_NAME)), \
-                "Provided path ({}) does not contain a LoRA weight.".format(model_args.checkpoint_dir[0])
-            assert os.path.exists(os.path.join(model_args.checkpoint_dir[0], CONFIG_NAME)), \
-                "The given checkpoint may be not a LoRA checkpoint, please specify `--finetuning_type full/freeze` instead."
-
             if (is_trainable and finetuning_args.resume_lora_training) or (not is_mergeable): # continually fine-tuning
                 checkpoints_to_merge, latest_checkpoint = model_args.checkpoint_dir[:-1], model_args.checkpoint_dir[-1]
             else: