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from opencompass.models import HuggingFaceCausalLM
_meta_template = dict(
begin='###',
round=[
dict(role='HUMAN', begin='Human: ', end='###'),
dict(role='BOT', begin='Assistant: ', end='</s>', generate=True),
],
eos_token_id=100007,
)
models = [
dict(
type=HuggingFaceCausalLM,
abbr='aquilachat2-34b-16k-hf',
path="BAAI/AquilaChat2-34B-16K",
tokenizer_path='BAAI/AquilaChat2-34B-16K',
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=4096,
batch_size=8,
run_cfg=dict(num_gpus=2, num_procs=1),
)
]
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