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from opencompass.models import HuggingFaceCausalLM
_meta_template = dict(
begin="Below is an instruction that describes a task. Write a response that appropriately completes the request.\n\n",
round=[
dict(role="HUMAN", begin='### Instruction:\n', end='\n\n'),
dict(role="BOT", begin="### Response: ", end='\n\n', generate=True),
],
)
models = [
dict(
abbr='metamath-7b-v1.0-hf',
type=HuggingFaceCausalLM,
path='meta-math/MetaMath-7B-V1.0',
tokenizer_path='meta-math/MetaMath-7B-V1.0',
model_kwargs=dict(
device_map='auto',
trust_remote_code=True,
),
tokenizer_kwargs=dict(
padding_side='left',
truncation_side='left',
trust_remote_code=True,
),
meta_template=_meta_template,
max_out_len=100,
max_seq_len=2048,
batch_size=8,
run_cfg=dict(num_gpus=1, num_procs=1),
)
]
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