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44 lines
1.2 KiB
Python
44 lines
1.2 KiB
Python
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from mmengine.config import read_base
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from opencompass.partitioners import SizePartitioner
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from opencompass.runners import LocalRunner
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from opencompass.tasks import OpenICLInferTask
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from opencompass.models import OpenAI
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from opencompass.models.lagent import CodeAgent
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from opencompass.lagent.actions.python_interpreter import PythonInterpreter
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PYTHON_INTERPRETER_DESCRIPTION = """\
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It can run a Python code. The code must be a valid code that contains only python method.
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"""
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actions = [
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dict(
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type=PythonInterpreter,
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description=PYTHON_INTERPRETER_DESCRIPTION,
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answer_expr=None,
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)
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]
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with read_base():
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from .datasets.ds1000.ds1000_gen_5c4bec import ds1000_datasets as datasets
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models = [
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dict(
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abbr='gpt-3.5-react',
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type=CodeAgent,
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llm=dict(
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type=OpenAI,
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path='gpt-3.5-turbo',
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key='ENV',
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query_per_second=1,
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max_seq_len=4096,
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),
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actions=actions,
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batch_size=8),
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]
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infer = dict(
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partitioner=dict(type=SizePartitioner, max_task_size=40000),
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runner=dict(
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type=LocalRunner, max_num_workers=16,
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task=dict(type=OpenICLInferTask)),
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)
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