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from opencompass.models import HuggingFaceCausalLM
_meta_template = dict(
round=[
dict(role="HUMAN", begin='\n<|im_start|>user\n', end='<|im_end|>'),
dict(role="BOT", begin="\n<|im_start|>assistant\n", end='<|im_end|>', generate=True),
],
)
models = [
dict(
type=HuggingFaceCausalLM,
abbr='qwen-72b-chat-hf',
path="Qwen/Qwen-72B-Chat",
tokenizer_path='Qwen/Qwen-72B-Chat',
model_kwargs=dict(
device_map='auto',
trust_remote_code=True
),
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
trust_remote_code=True,
use_fast=False,),
pad_token_id=151643,
max_out_len=100,
max_seq_len=2048,
batch_size=8,
meta_template=_meta_template,
run_cfg=dict(num_gpus=4, num_procs=1),
end_str='<|im_end|>',
)
]