diff --git a/tests/test_training/train_CI.py b/tests/test_training/train_CI.py
index b05772b..f3e7a9f 100644
--- a/tests/test_training/train_CI.py
+++ b/tests/test_training/train_CI.py
@@ -225,7 +225,7 @@ def main(args):
         ckpt_name = (
             f"model_tp{gpc.get_local_rank(ParallelMode.TENSOR)}_pp{gpc.get_local_rank(ParallelMode.PIPELINE)}.pt"
         )
-        ckpt_path = os.path.join("/mnt/petrelfs/share/quailty_assurance/7B_init_8_tp=4_pp=2_ckpt", ckpt_name)
+        ckpt_path = os.path.join("...", ckpt_name)
         check_model_weights(model, ckpt_path, total_equal=True)
 
     with initialize_llm_profile(profiling=args.profiling, start_time=current_time) as prof:
@@ -243,7 +243,7 @@ def main(args):
                 data_local_rank = gpc.get_local_rank(ParallelMode.DATA)
                 batch_step = (batch_count // 1000 + 1) * 1000
                 data_path = (
-                    "/mnt/petrelfs/share/quailty_assurance/debug_Qiansanqiang_7B_v16/"
+                    "..."
                     f"dp-11{data_local_rank}/batch-{batch_step}.pt"
                 )
                 data_1000 = torch.load(data_path, map_location=torch.device("cpu"))
@@ -336,7 +336,7 @@ def main(args):
             # check model weights
             if batch_count > 0 and batch_count % 100 == 0:
                 ckpt_path = os.path.join(
-                    "/mnt/petrelfs/share/quailty_assurance/7B_model_weights_ckpt", str(batch_count), "model_tp0_pp0.pt"
+                    "...", str(batch_count), "model_tp0_pp0.pt"
                 )
                 check_model_weights(model, ckpt_path)