mirror of
https://github.com/open-compass/opencompass.git
synced 2025-05-30 16:03:24 +08:00
53 lines
1.6 KiB
Python
53 lines
1.6 KiB
Python
|
from mmengine.config import read_base
|
||
|
|
|
||
|
|
from opencompass.models import HuggingFaceCausalLM, OpenAI
|
||
|
|
from opencompass.models.lagent import CodeAgent
|
||
|
|
from opencompass.partitioners import SizePartitioner
|
||
|
|
from opencompass.runners import LocalRunner
|
||
|
|
from opencompass.tasks import OpenICLInferTask
|
||
|
|
|
||
|
|
with read_base():
|
||
|
|
from opencompass.configs.datasets.gsm8k.gsm8k_gen_57b0b1 import \
|
||
|
|
gsm8k_datasets
|
||
|
|
from opencompass.configs.datasets.math.math_gen_943d32 import math_datasets
|
||
|
|
|
||
|
|
datasets = []
|
||
|
|
datasets += gsm8k_datasets
|
||
|
|
datasets += math_datasets
|
||
|
|
|
||
|
|
models = [
|
||
|
|
dict(abbr='gpt-3.5-react',
|
||
|
|
type=CodeAgent,
|
||
|
|
llm=dict(
|
||
|
|
type=OpenAI,
|
||
|
|
path='gpt-3.5-turbo',
|
||
|
|
key='ENV',
|
||
|
|
query_per_second=1,
|
||
|
|
max_seq_len=4096,
|
||
|
|
),
|
||
|
|
batch_size=8),
|
||
|
|
dict(abbr='WizardCoder-Python-13B-V1.0-react',
|
||
|
|
type=CodeAgent,
|
||
|
|
llm=dict(
|
||
|
|
type=HuggingFaceCausalLM,
|
||
|
|
path='WizardLM/WizardCoder-Python-13B-V1.0',
|
||
|
|
tokenizer_path='WizardLM/WizardCoder-Python-13B-V1.0',
|
||
|
|
tokenizer_kwargs=dict(
|
||
|
|
padding_side='left',
|
||
|
|
truncation_side='left',
|
||
|
|
trust_remote_code=True,
|
||
|
|
),
|
||
|
|
max_seq_len=2048,
|
||
|
|
model_kwargs=dict(trust_remote_code=True, device_map='auto'),
|
||
|
|
),
|
||
|
|
batch_size=8,
|
||
|
|
run_cfg=dict(num_gpus=2, num_procs=1)),
|
||
|
|
]
|
||
|
|
|
||
|
|
infer = dict(
|
||
|
|
partitioner=dict(type=SizePartitioner, max_task_size=40000),
|
||
|
|
runner=dict(type=LocalRunner,
|
||
|
|
max_num_workers=16,
|
||
|
|
task=dict(type=OpenICLInferTask)),
|
||
|
|
)
|