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from opencompass.models import HuggingFaceCausalLM
_meta_template = dict(
round=[
dict(role='HUMAN', begin='<|startofpiece|>', end=''),
dict(role='BOT', begin='<|endofpiece|>', end='</s>', generate=True),
],
eos_token_id=2,
)
models = [
dict(
type=HuggingFaceCausalLM,
abbr='aquilachat2-7b-hf',
path="BAAI/AquilaChat2-7B",
tokenizer_path='BAAI/AquilaChat2-7B',
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,
),
meta_template=_meta_template,
max_out_len=100,
max_seq_len=2048,
batch_size=8,
run_cfg=dict(num_gpus=1, num_procs=1),
)
]
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