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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='lemur-70b-chat-v1',
path="OpenLemur/lemur-70b-chat-v1",
tokenizer_path='OpenLemur/lemur-70b-chat-v1',
# 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,
model_kwargs=dict(device_map='auto', trust_remote_code=True),
run_cfg=dict(num_gpus=4, num_procs=1),
)
]
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