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from opencompass.models import HuggingFaceCausalLM
_meta_template = dict(
round=[
dict(role='HUMAN', begin='### Human: \n', end='\n\n'),
dict(role='BOT', begin='### Assistant: ', end='</s>', generate=True),
],
)
models = [
dict(
type=HuggingFaceCausalLM,
abbr='nanbeige-16b-chat-32k-hf',
path="Nanbeige/Nanbeige-16B-Chat-32K",
tokenizer_path='Nanbeige/Nanbeige-16B-Chat-32K',
model_kwargs=dict(
device_map='auto',
trust_remote_code=True,
torch_dtype='auto',
),
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=2, num_procs=1),
end_str='</s>',
)
]
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