finetune时报错：KeyError: 'models.llama' about chinese-vicuna HOT 17 CLOSED

transformers              4.27.4                     py_0    huggingface

git clone https://github.com/huggingface/transformers.git
cd transformers
pip install -e .

transformers              4.28.0.dev0              pypi_0    pypi

===================================BUG REPORT===================================
Welcome to bitsandbytes. For bug reports, please submit your error trace to: https://github.com/TimDettmers/bitsandbytes/issues
================================================================================
CUDA SETUP: Required library version not found: libsbitsandbytes_cpu.so. Maybe you need to compile it from source?
CUDA SETUP: Defaulting to libbitsandbytes_cpu.so...
/home/doudou/miniconda3/envs/chinese-vicuna/lib/python3.8/site-packages/bitsandbytes/cextension.py:31: UserWarning: The installed version of bitsandbytes was compiled without GPU support. 8-bit optimizers and GPU quantization are unavailable.
  warn("The installed version of bitsandbytes was compiled without GPU support. "
Traceback (most recent call last):
  File "finetune.py", line 8, in <module>
    import transformers
  File "/home/doudou/projects/github/transformers-main/src/transformers/__init__.py", line 26, in <module>
    from . import dependency_versions_check
  File "/home/doudou/projects/github/transformers-main/src/transformers/dependency_versions_check.py", line 17, in <module>
    from .utils.versions import require_version, require_version_core
  File "/home/doudou/projects/github/transformers-main/src/transformers/utils/__init__.py", line 57, in <module>
    from .hub import (
  File "/home/doudou/projects/github/transformers-main/src/transformers/utils/hub.py", line 32, in <module>
    from huggingface_hub import (
  File "/home/doudou/miniconda3/envs/chinese-vicuna/lib/python3.8/site-packages/huggingface_hub/__init__.py", line 278, in __getattr__
    submod = importlib.import_module(submod_path)
  File "/home/doudou/miniconda3/envs/chinese-vicuna/lib/python3.8/importlib/__init__.py", line 127, in import_module
    return _bootstrap._gcd_import(name[level:], package, level)
  File "/home/doudou/miniconda3/envs/chinese-vicuna/lib/python3.8/site-packages/huggingface_hub/file_download.py", line 21, in <module>
    from filelock import FileLock
ModuleNotFoundError: No module named 'filelock'

Looking in indexes: https://pypi.tuna.tsinghua.edu.cn/simple
Collecting git+https://github.com/huggingface/transformers
  Cloning https://github.com/huggingface/transformers to /tmp/pip-req-build-lxrdj0gq
  Running command git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-lxrdj0gq
  fatal: unable to access 'https://github.com/huggingface/transformers/': gnutls_handshake() failed: The TLS connection was non-properly terminated.
  error: subprocess-exited-with-error
  
  × git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-lxrdj0gq did not run successfully.
  │ exit code: 128
  ╰─> See above for output.
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
error: subprocess-exited-with-error

× git clone --filter=blob:none --quiet https://github.com/huggingface/transformers /tmp/pip-req-build-lxrdj0gq did not run successfully.
│ exit code: 128
╰─> See above for output.

DATA_PATH="./sample/merge.json" # 这是下载好的merge.json
OUTPUT_PATH="my-lora-Vicuna"
MODEL_PATH="../llama-13b-hf/" # 下载好的llama-13b模型
lora_checkpoint="../Chinese-Vicuna-lora-13b-belle-and-guanaco/" # 下载到本地的
TEST_SIZE=2000

python finetune.py \
--data_path $DATA_PATH \
--output_path $OUTPUT_PATH \
--model_path $MODEL_PATH \
--eval_steps 200 \
--save_steps 200 \
--test_size $TEST_SIZE

torch.cuda.OutOfMemoryError: CUDA out of memory. Tried to allocate 136.00 MiB (GPU 0; 23.70 GiB total capacity; 13.51 GiB already allocated; 95.56 MiB free; 13.94 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation.  See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF