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22 lines
1.5 KiB
Python
22 lines
1.5 KiB
Python
from mmengine.config import read_base
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with read_base():
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from opencompass.configs.datasets.OpenHuEval.HuMatchingFIB.HuMatchingFIB import hu_matching_fib_datasets
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# from opencompass.configs.models.openai.gpt_4o_mini_20240718 import models as gpt_4o_mini_20240718_model
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# from opencompass.configs.models.deepseek.deepseek_v3_api_siliconflow import models as deepseek_v3_api_siliconflow_model
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# from opencompass.configs.models.deepseek.deepseek_v3_api import models as deepseek_v3_api_model
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# from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_7b_instruct import models as lmdeploy_qwen2_5_7b_instruct_model
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# from opencompass.configs.models.hf_internlm.lmdeploy_internlm3_8b_instruct import models as lmdeploy_internlm3_8b_instruct_model
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# from opencompass.configs.models.qwq.lmdeploy_qwq_32b_preview import models as lmdeploy_qwq_32b_preview_model
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# from opencompass.configs.models.deepseek.deepseek_r1_siliconflow import models as deepseek_r1_siliconflow_model
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# from opencompass.configs.models.openai.o1_mini_2024_09_12 import models as o1_mini_2024_09_12_model
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# from opencompass.configs.models.openai.o3_mini_2025_01_31 import models as o3_mini_2025_01_31_model
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_5_7b_chat import models as lmdeploy_internlm2_5_7b_chat_model
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datasets = hu_matching_fib_datasets
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models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
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work_dir = './outputs/' + __file__.split('/')[-1].split('.')[0] + '/' # do NOT modify this line, yapf: disable, pylint: disable
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