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* [Feature] Support the reasoning from BaiLing LLM This commit includes the access to BaiLing LLM and gets the reasoning. * Add the api example The example of evalute bailing api * Revise the generation arguments Based on current experiment, we update some generation arguments for better reasoning * [fix] set the batch size * Retry under flowcontrol of serverside * add dependent package into requirement.txt add dependent package retrying to clean up the pre-comment check. * correct the file names and make the file copy correct the file names. copy the files under configs to opencompass * fix the lint issue --------- Co-authored-by: christopher.dy <christopher.dy@antgroup.com>
39 lines
1009 B
Python
39 lines
1009 B
Python
from mmengine.config import read_base
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from opencompass.models import BailingAPI
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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.datasets.ceval.ceval_gen import ceval_datasets
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from opencompass.configs.summarizers.medium import summarizer
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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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path="Bailing-Lite-0830",
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token="xxxxxx", # set your key here or in environment variable BAILING_API_KEY
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url="https://bailingchat.alipay.com/chat/completions",
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type=BailingAPI,
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generation_kwargs={},
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query_per_second=1,
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max_seq_len=4096,
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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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)
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work_dir = "outputs/api_bailing/"
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