eval_internlm_math_chat.py 831 Bytes
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from mmengine.config import read_base

from opencompass.models.huggingface import HuggingFaceCausalLM

with read_base():
    # choose a list of datasets
    from opencompass.configs.datasets.gsm8k.gsm8k_gen import gsm8k_datasets
    from opencompass.configs.datasets.math.math_gen_736506 import math_datasets
    from opencompass.configs.models.hf_internlm.hf_internlm2_chat_math_7b import \
        models as internlm_math_chat_7b_models
    from opencompass.configs.models.hf_internlm.hf_internlm2_chat_math_20b import \
        models as internlm_math_chat_20b_models

datasets = sum((v for k, v in locals().items() if k.endswith('_datasets')), [])
# Eval Math and GSM8k for both Internlm-Math-Chat-7B and 20b
datasets = [*math_datasets, *gsm8k_datasets]
models = [*internlm_math_chat_7b_models, *internlm_math_chat_20b_models]