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from opencompass.models import HuggingFace
_meta_template = dict(
round=[
dict(role='HUMAN', begin='[Round 1]\n\n问：', end='\n\n'),
dict(role='BOT', begin='答：', end='\n\n', generate=True),
],
)
models = [
dict(
type=HuggingFace,
abbr='chatglm2-6b-hf',
path='THUDM/chatglm2-6b',
tokenizer_path='THUDM/chatglm2-6b',
model_kwargs=dict(
trust_remote_code=True,
device_map='auto',
),
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
trust_remote_code=True,
),
meta_template=_meta_template,
max_out_len=100,
max_seq_len=4096,
batch_size=8,
run_cfg=dict(num_gpus=1, num_procs=1),
)
]
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