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* [Feature] Support import configs/models/summarizers from whl * Update LCBench configs * Update * Update * Update * Update * update * Update * Update * Update * Update * Update
26 lines
781 B
Python
26 lines
781 B
Python
from opencompass.models import VLLM
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settings = [
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('internlm2-1.8b-vllm', 'internlm/internlm2-1_8b', 1),
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('internlm2-7b-vllm', 'internlm/internlm2-7b', 1),
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('internlm2-base-7b-vllm', 'internlm/internlm2-base-7b', 1),
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('internlm2-20b-vllm', 'internlm/internlm2-20b', 2),
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('internlm2-base-20b-vllm', 'internlm/internlm2-base-20b', 2),
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]
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models = []
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for abbr, path, num_gpus in settings:
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models.append(
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dict(
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type=VLLM,
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abbr=abbr,
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path=path,
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model_kwargs=dict(tensor_parallel_size=num_gpus),
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max_out_len=100,
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max_seq_len=2048,
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batch_size=32,
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generation_kwargs=dict(temperature=0),
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run_cfg=dict(num_gpus=num_gpus, num_procs=1),
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)
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)
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