Issue running the codeup with WSL

[raymond-infinitecode]

python3 finetune.py --base_model='TheBloke/Dolphin-Llama2-7B-GPTQ' --data_path='data/codeup_19k.json' --num_epochs=10 --cutoff_len=512 --group_by_length --output_dir='./test-llama-2/7b' --lora_target_modules='[q_proj,k_proj,v_proj,o_proj]' --lora_r=16 --micro_batch_size

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bin /home/raymond/.local/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda121.so
CUDA SETUP: CUDA runtime path found: /usr/local/cuda/lib64/libcudart.so
CUDA SETUP: Highest compute capability among GPUs detected: 8.6
CUDA SETUP: Detected CUDA version 121
CUDA SETUP: Loading binary /home/raymond/.local/lib/python3.10/site-packages/bitsandbytes/libbitsandbytes_cuda121.so...
Training Alpaca-LoRA model with params:
base_model: TheBloke/Dolphin-Llama2-7B-GPTQ
data_path: data/codeup_19k.json
output_dir: ./test-llama-2/7b
batch_size: 128
micro_batch_size: True
num_epochs: 10
learning_rate: 0.0003
cutoff_len: 512
val_set_size: 2000
lora_r: 16
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules: ['q_proj', 'k_proj', 'v_proj', 'o_proj']
train_on_inputs: True
add_eos_token: False
group_by_length: True
wandb_project:
wandb_run_name:
wandb_watch:
wandb_log_model:
resume_from_checkpoint: False
prompt template: alpaca

Traceback (most recent call last):
File "/home/raymond/CodeUp/finetune.py", line 283, in
fire.Fire(train)
File "/home/raymond/.local/lib/python3.10/site-packages/fire/core.py", line 141, in Fire
component_trace = _Fire(component, args, parsed_flag_args, context, name)
File "/home/raymond/.local/lib/python3.10/site-packages/fire/core.py", line 475, in _Fire
component, remaining_args = _CallAndUpdateTrace(
File "/home/raymond/.local/lib/python3.10/site-packages/fire/core.py", line 691, in _CallAndUpdateTrace
component = fn(*varargs, **kwargs)
File "/home/raymond/CodeUp/finetune.py", line 112, in train
model = LlamaForCausalLM.from_pretrained(
File "/home/raymond/.local/lib/python3.10/site-packages/transformers/modeling_utils.py", line 2475, in from_pretrained
loading_attr_dict = quantization_config.get_loading_attributes()
AttributeError: 'BitsAndBytesConfig' object has no attribute 'get_loading_attributes'

CUDA version 12.1 and other pip things followed requirements.txt

Do you have any idea ?