Error while deserializing header: MetadataIncompleteBuffer

Hello, I am trying to run apply_deltas in order to convert the llama weights I have downloaded to vicuna weights. When I run

python3 -m fastchat.model.apply_delta  \
--base-model-path /home/usr/FastChat/fastchat/model/weights/llama/saved_models/7B \ 
--target-model-path /home/usr/FastChat/fastchat/model/weights/vicuna/7B \
--delta-path lmsys/vicuna-7b-delta-v1.1

I get the following output:

2023-05-24 10:54:21.193819: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  AVX2 AVX512F AVX512_VNNI FMA
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2023-05-24 10:54:21.329239: I tensorflow/core/util/port.cc:104] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.
2023-05-24 10:54:22.824794: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer.so.7'; dlerror: libnvinfer.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/home/usr/anaconda3/lib/:/home/usr/anaconda3/lib/python3.9/site-packages/tensorrt:/home/usr/anaconda3/lib/:/home/usr/anaconda3/lib/python3.9/site-packages/tensorrt:/home/usr/anaconda3/lib/:/home/usr/anaconda3/lib/python3.9/site-packages/tensorrt
2023-05-24 10:54:22.824912: W tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libnvinfer_plugin.so.7'; dlerror: libnvinfer_plugin.so.7: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: :/home/usr/anaconda3/lib/:/home/usr/anaconda3/lib/python3.9/site-packages/tensorrt:/home/usr/anaconda3/lib/:/home/usr/anaconda3/lib/python3.9/site-packages/tensorrt:/home/usr/anaconda3/lib/:/home/usr/anaconda3/lib/python3.9/site-packages/tensorrt
2023-05-24 10:54:22.824923: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Cannot dlopen some TensorRT libraries. If you would like to use Nvidia GPU with TensorRT, please make sure the missing libraries mentioned above are installed properly.
Loading the delta weights from lmsys/vicuna-7b-delta-v1.1
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:05<00:00,  2.64s/it]
Loading the base model from /home/usr/FastChat/fastchat/model/weights/llama/saved_models/7B
Loading checkpoint shards:   0%|                                                                                                                                                                          | 0/2 [00:00<?, ?it/s]
Traceback (most recent call last):
  File "/home/usr/anaconda3/lib/python3.9/runpy.py", line 197, in _run_module_as_main
    return _run_code(code, main_globals, None,
  File "/home/usr/anaconda3/lib/python3.9/runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "/home/usr/FastChat/fastchat/model/apply_delta.py", line 165, in <module>
    apply_delta(args.base_model_path, args.target_model_path, args.delta_path)
  File "/home/usr/FastChat/fastchat/model/apply_delta.py", line 133, in apply_delta
    base = AutoModelForCausalLM.from_pretrained(
  File "/home/usr/anaconda3/lib/python3.9/site-packages/transformers/models/auto/auto_factory.py", line 472, in from_pretrained
    return model_class.from_pretrained(
  File "/home/usr/anaconda3/lib/python3.9/site-packages/transformers/modeling_utils.py", line 2784, in from_pretrained
    ) = cls._load_pretrained_model(
  File "/home/usr/anaconda3/lib/python3.9/site-packages/transformers/modeling_utils.py", line 3111, in _load_pretrained_model
    state_dict = load_state_dict(shard_file)
  File "/home/usr/anaconda3/lib/python3.9/site-packages/transformers/modeling_utils.py", line 440, in load_state_dict
    with safe_open(checkpoint_file, framework="pt") as f:
safetensors_rust.SafetensorError: Error while deserializing header: MetadataIncompleteBuffer

I'm not sure what is causing this error. I looked through both the llama and FastChat repos for issues with the same error message but I couldn't find anything. I downloaded the llama weights from the torrent popularized by this pull request. I forced a recheck and nothing came up. My llama weights' folder structure is:

Start at fastchat/model/apply_delta.py:133 and inspect how AutoModelForCausalLM loads the base-model checkpoint shards under the reported Llama weights path. Reproduce the command with the same paths, then determine whether the conversion completes or the checkpoint-loading failure can be diagnosed and documented from the available files and traceback.