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from opencompass.models import VLLM
_meta_template = dict(
round=[
dict(role="HUMAN", begin='<|im_start|>user\n', end='<|im_end|>\n'),
dict(role="BOT", begin="<|im_start|>assistant\n", end='<|im_end|>\n', generate=True),
],
eos_token_id=151645,
)
models = [
dict(
type=VLLM,
abbr='qwen1.5-72b-chat-vllm',
path="Qwen/Qwen1.5-72B-Chat",
model_kwargs=dict(tensor_parallel_size=4),
meta_template=_meta_template,
max_out_len=100,
max_seq_len=2048,
batch_size=32,
generation_kwargs=dict(temperature=0),
end_str='<|im_end|>',
run_cfg=dict(num_gpus=4, num_procs=1),
)
]
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