How much memory is needed for the GPU to run FinGPT-Forecaster？

[jiahuiLeee]

base_model = AutoModelForCausalLM.from_pretrained(
'meta-llama/Llama-2-7b-chat-hf',
token=access_token,
trust_remote_code=True,
device_map="auto",
torch_dtype=torch.float16,
offload_folder="offload/"
)
model = PeftModel.from_pretrained(
base_model,
'FinGPT/fingpt-forecaster_dow30_llama2-7b_lora',
offload_folder="offload/"
)
model = model.eval()

run python FinGPT/fingpt/FinGPT_Forecaster/app.py, I got this error:
Loading checkpoint shards: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2/2 [00:00<00:00, 2.68it/s]
/home/ljh/.conda/envs/FinGPT_Forecaster_py310/lib/python3.10/site-packages/transformers/utils/hub.py:373: FutureWarning: The use_auth_token argument is deprecated and will be removed in v5 of Transformers.
warnings.warn(
WARNING:root:Some parameters are on the meta device device because they were offloaded to the disk and cpu.
Traceback (most recent call last):
File "/home/ljh/Fin4LLM/FinGPT/fingpt/FinGPT_Forecaster/app.py", line 31, in
model = PeftModel.from_pretrained(
File "/home/ljh/.conda/envs/FinGPT_Forecaster_py310/lib/python3.10/site-packages/peft/peft_model.py", line 278, in from_pretrained
model.load_adapter(model_id, adapter_name, is_trainable=is_trainable, **kwargs)
File "/home/ljh/.conda/envs/FinGPT_Forecaster_py310/lib/python3.10/site-packages/peft/peft_model.py", line 587, in load_adapter
dispatch_model(
File "/home/ljh/.conda/envs/FinGPT_Forecaster_py310/lib/python3.10/site-packages/accelerate/big_modeling.py", line 378, in dispatch_model
offload_state_dict(offload_dir, disk_state_dict)
File "/home/ljh/.conda/envs/FinGPT_Forecaster_py310/lib/python3.10/site-packages/accelerate/utils/offload.py", line 98, in offload_state_dict
index = offload_weight(parameter, name, save_dir, index=index)
File "/home/ljh/.conda/envs/FinGPT_Forecaster_py310/lib/python3.10/site-packages/accelerate/utils/offload.py", line 32, in offload_weight
array = weight.cpu().numpy()
NotImplementedError: Cannot copy out of meta tensor; no data!