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from opencompass.models import HuggingFaceCausalLM
_meta_template = dict(
round=[
dict(role='HUMAN', begin='', end=''),
dict(role='BOT', begin='', end='\n\n', generate=True),
],
)
models = [
dict(
type=HuggingFaceCausalLM,
abbr='nanbeige-16b-base-32k-hf',
path="Nanbeige/Nanbeige-16B-Base-32K",
tokenizer_path='Nanbeige/Nanbeige-16B-Base-32K',
model_kwargs=dict(
device_map='auto',
trust_remote_code=True,
torch_dtype='auto',
),
tokenizer_kwargs=dict(
padding_side='right',
truncation_side='left',
trust_remote_code=True,
use_fast=False,
),
meta_template=_meta_template,
batch_padding=False,
max_out_len=1024,
max_seq_len=8192,
batch_size=8,
run_cfg=dict(num_gpus=1, num_procs=1),
)
]
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