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53 lines
1.4 KiB
Python
53 lines
1.4 KiB
Python
from mmengine.config import read_base
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from opencompass.models import SenseTime
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from opencompass.partitioners import NaivePartitioner
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from opencompass.runners.local_api import LocalAPIRunner
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from opencompass.tasks import OpenICLInferTask
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with read_base():
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from opencompass.configs.summarizers.medium import summarizer
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from opencompass.configs.datasets.ceval.ceval_gen import ceval_datasets
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datasets = [
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*ceval_datasets,
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]
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models = [
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dict(
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abbr='nova-ptc-xl-v1',
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type=SenseTime,
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path='nova-ptc-xl-v1',
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key='xxxxxxxxxxxxxx',
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url='xxxxxxxxxxx',
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query_per_second=1,
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max_out_len=2048,
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max_seq_len=2048,
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batch_size=8,
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parameters={
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'temperature': 0.8,
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'top_p': 0.7,
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'max_new_tokens': 1024,
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'repetition_penalty': 1.05,
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'know_ids': [],
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'stream': True,
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'user': '#*#***TestUser***#*#',
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'knowledge_config': {
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'control_level': 'normal',
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'knowledge_base_result': False,
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'online_search_result': False
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}
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}
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)
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]
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infer = dict(
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partitioner=dict(type=NaivePartitioner),
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runner=dict(
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type=LocalAPIRunner,
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max_num_workers=2,
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concurrent_users=2,
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task=dict(type=OpenICLInferTask)),
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)
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work_dir = 'outputs/api_sensetime/'
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