diff --git a/xtuner/tools/serial_merge_to_hf.py b/xtuner/tools/serial_merge_to_hf.py
new file mode 100644
index 000000000..0aed32ce4
--- /dev/null
+++ b/xtuner/tools/serial_merge_to_hf.py
@@ -0,0 +1,73 @@
+import argparse
+import os
+import subprocess
+
+import torch
+from tqdm import tqdm
+
+
+def merge_weights(ckpt_dir, new_ckpt_path):
+
+    merged_weights = {}
+
+    pt_files = [f for f in os.listdir(ckpt_dir) if f.endswith('.pt')]
+
+    for filename in tqdm(pt_files, desc='Merging weights'):
+
+        file_path = os.path.join(ckpt_dir, filename)
+
+        weights = torch.load(file_path, map_location='cpu')
+
+        merged_weights.update(weights)
+
+    torch.save(merged_weights, new_ckpt_path)
+    return new_ckpt_path
+
+
+def convert_to_hf(config_path, ckpt_path, output_dir):
+
+    command = [
+        'xtuner',
+        'convert',
+        'pth_to_hf',
+        config_path,
+        ckpt_path,
+        output_dir,
+    ]
+
+    subprocess.run(command, check=True)
+
+
+def process_weights(ckpt_dir, config_path, output_dir):
+    # Step 1: Merge weights
+    new_ckpt_filename = 'merged_model_states.pth'
+    new_ckpt_path = os.path.join(ckpt_dir, new_ckpt_filename)
+    merge_weights(ckpt_dir, new_ckpt_path)
+
+    # Step 2: Convert to Hugging Face format
+    convert_to_hf(config_path, new_ckpt_path, output_dir)
+
+
+def main():
+    parser = argparse.ArgumentParser(
+        description='Serial Merge Weights and Convert to Hugging Face Format')
+    parser.add_argument(
+        'ckpt_dir',
+        type=str,
+        help='The directory where the weight file is located')
+    parser.add_argument(
+        'config_path',
+        type=str,
+        help='Configuration file path used for training, \
+        for example :work_dirs/**/epoch_3.pth ,\
+        The directory is all in the file bf16_zero_pp_rank_*.pt. \
+        which requires a xtuner convert merge first if it is qlora training.')
+    parser.add_argument(
+        'output_dir', type=str, help='Hugging Face model output directory')
+
+    args = parser.parse_args()
+    process_weights(args.ckpt_dir, args.config_path, args.output_dir)
+
+
+if __name__ == '__main__':
+    main()