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from opencompass.models import HuggingFaceCausalLM
models = [
dict(
type=HuggingFaceCausalLM,
abbr='vicuna-7b-v1.5-hf',
path="lmsys/vicuna-7b-v1.5",
tokenizer_path='lmsys/vicuna-7b-v1.5',
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
use_fast=False,
),
max_out_len=100,
max_seq_len=2048,
batch_size=8,
model_kwargs=dict(device_map='auto'),
batch_padding=False, # if false, inference with for-loop without batch padding
use_fastchat_template=True,
run_cfg=dict(num_gpus=1, num_procs=1)
)
]
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