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from opencompass.models import HuggingFaceCausalLM
_meta_template = dict(
round=[
dict(role='HUMAN', begin='\n\n### Instruction:\n'),
dict(role='BOT', begin='\n\n### Response:\n', generate=True),
],
)
models = [
dict(
type=HuggingFaceCausalLM,
abbr='tigerbot-70b-chat-v2-hf',
path="TigerResearch/tigerbot-70b-chat-v2",
tokenizer_path='TigerResearch/tigerbot-70b-chat-v2',
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
trust_remote_code=True,
),
max_out_len=100,
max_seq_len=2048,
batch_size=8,
meta_template=_meta_template,
model_kwargs=dict(trust_remote_code=True, device_map='auto'),
run_cfg=dict(num_gpus=4, num_procs=1),
)
]
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