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ed81f9df30
* update * update * update * update * update * update * update * update * update * update --------- Co-authored-by: zhulin1 <zhulin1@pjlab.org.cn>
152 lines
8.9 KiB
Python
152 lines
8.9 KiB
Python
from mmengine.config import read_base
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with read_base():
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# choose a list of datasets
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from opencompass.configs.datasets.gsm8k.gsm8k_gen import \
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gsm8k_datasets # noqa: F401, E501
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from opencompass.configs.datasets.race.race_gen import \
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race_datasets # noqa: F401, E501
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# read hf models - chat models
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from opencompass.configs.models.baichuan.hf_baichuan2_7b_chat import \
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models as hf_baichuan2_7b_chat_model # noqa: F401, E501
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from opencompass.configs.models.chatglm.hf_glm4_9b_chat import \
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models as hf_glm4_9b_chat_model # noqa: F401, E501
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from opencompass.configs.models.chatglm.lmdeploy_glm4_9b_chat import \
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models as lmdeploy_glm4_9b_chat_model # noqa: F401, E501
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from opencompass.configs.models.chatglm.vllm_glm4_9b_chat import \
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models as vllm_glm4_9b_chat_model # noqa: F401, E501
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from opencompass.configs.models.deepseek.hf_deepseek_7b_chat import \
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models as hf_deepseek_7b_chat_model # noqa: F401, E501
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from opencompass.configs.models.deepseek.hf_deepseek_moe_16b_chat import \
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models as hf_deepseek_moe_16b_chat_model # noqa: F401, E501
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from opencompass.configs.models.deepseek.hf_deepseek_v2_lite_chat import \
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models as hf_deepseek_v2_lite_chat_model # noqa: F401, E501
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from opencompass.configs.models.deepseek.vllm_deepseek_7b_chat import \
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models as vllm_deepseek_7b_chat_model # noqa: F401, E501
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from opencompass.configs.models.gemma.hf_gemma2_2b_it import \
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models as hf_gemma2_2b_it_model # noqa: F401, E501
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from opencompass.configs.models.gemma.hf_gemma2_9b_it import \
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models as hf_gemma2_9b_it_model # noqa: F401, E501
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from opencompass.configs.models.gemma.hf_gemma_2b_it import \
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models as hf_gemma_2b_it_model # noqa: F401, E501
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from opencompass.configs.models.gemma.hf_gemma_7b_it import \
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models as hf_gemma_7b_it_model # noqa: F401, E501
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from opencompass.configs.models.gemma.lmdeploy_gemma_9b_it import \
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models as lmdeploy_gemma_9b_it_model # noqa: F401, E501
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from opencompass.configs.models.gemma.vllm_gemma_7b_it import \
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models as vllm_gemma_7b_it_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.hf_internlm2_5_7b_chat import \
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models as hf_internlm2_5_7b_chat_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.hf_internlm2_5_20b_chat import \
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models as hf_internlm2_5_20b_chat_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_5_7b_chat import \
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models as lmdeploy_internlm2_5_7b_chat_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_5_20b_chat import \
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models as lmdeploy_internlm2_5_20b_chat_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_chat_1_8b import \
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models as lmdeploy_internlm2_chat_1_8b_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_chat_1_8b_sft import \
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models as lmdeploy_internlm2_chat_1_8b_sft_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_chat_7b import \
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models as lmdeploy_internlm2_chat_7b_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.lmdeploy_internlm2_chat_7b_sft import \
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models as lmdeploy_internlm2_chat_7b_sft_model # noqa: F401, E501
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from opencompass.configs.models.hf_internlm.vllm_internlm2_chat_7b import \
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models as vllm_internlm2_chat_7b_model # noqa: F401, E501
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from opencompass.configs.models.hf_llama.hf_llama3_1_8b_instruct import \
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models as hf_llama3_1_8b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.hf_llama.hf_llama3_2_3b_instruct import \
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models as hf_llama3_2_3b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.hf_llama.hf_llama3_8b_instruct import \
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models as hf_llama3_8b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.hf_llama.lmdeploy_llama2_7b_chat import \
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models as lmdeploy_llama2_7b_chat_model # noqa: F401, E501
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from opencompass.configs.models.hf_llama.lmdeploy_llama3_1_8b_instruct import \
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models as lmdeploy_llama3_1_8b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.hf_llama.lmdeploy_llama3_2_3b_instruct import \
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models as lmdeploy_llama3_2_3b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.hf_llama.lmdeploy_llama3_8b_instruct import \
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models as lmdeploy_llama3_8b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.mistral.hf_mistral_7b_instruct_v0_2 import \
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models as hf_mistral_7b_instruct_v0_2_model # noqa: F401, E501
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from opencompass.configs.models.mistral.hf_mistral_7b_instruct_v0_3 import \
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models as hf_mistral_7b_instruct_v0_3_model # noqa: F401, E501
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from opencompass.configs.models.mistral.hf_mistral_nemo_instruct_2407 import \
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models as hf_mistral_nemo_instruct_2407_model # noqa: F401, E501
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from opencompass.configs.models.mistral.hf_mistral_small_instruct_2409 import \
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models as hf_mistral_small_instruct_2409_model # noqa: F401, E501
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from opencompass.configs.models.mistral.lmdeploy_mistral_nemo_instruct_2407 import \
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models as lmdeploy_mistral_nemo_instruct_2407_model # noqa: F401, E501
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from opencompass.configs.models.mistral.lmdeploy_mistral_small_instruct_2409 import \
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models as \
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lmdeploy_mistral_small_instruct_2409_model # noqa: F401, E501
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from opencompass.configs.models.mistral.vllm_mistral_7b_instruct_v0_1 import \
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models as vllm_mistral_7b_instruct_v0_1_model # noqa: F401, E501
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from opencompass.configs.models.mistral.vllm_mistral_7b_instruct_v0_2 import \
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models as vllm_mistral_7b_instruct_v0_2_model # noqa: F401, E501
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from opencompass.configs.models.openbmb.hf_minicpm3_4b import \
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models as hf_minicpm3_4b_model # noqa: F401, E501
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from opencompass.configs.models.openbmb.hf_minicpm_2b_dpo_fp32 import \
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models as hf_minicpm_2b_dpo_fp32_model # noqa: F401, E501
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from opencompass.configs.models.openbmb.hf_minicpm_2b_sft_bf16 import \
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models as hf_minicpm_2b_sft_bf16_model # noqa: F401, E501
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from opencompass.configs.models.openbmb.hf_minicpm_2b_sft_fp32 import \
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models as hf_minicpm_2b_sft_fp32_model # noqa: F401, E501
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from opencompass.configs.models.phi.hf_phi_3_mini_4k_instruct import \
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models as hf_phi_3_mini_4k_instruct_model # noqa: F401, E501
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from opencompass.configs.models.phi.hf_phi_3_small_8k_instruct import \
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models as hf_phi_3_mini_8k_instruct_model # noqa: F401, E501
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from opencompass.configs.models.qwen2_5.hf_qwen2_5_14b_instruct import \
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models as hf_qwen2_5_14b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.qwen2_5.lmdeploy_qwen2_5_14b_instruct import \
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models as lmdeploy_qwen2_5_14b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.qwen.hf_qwen1_5_0_5b_chat import \
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models as hf_qwen1_5_0_5b_chat_model # noqa: F401, E501
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from opencompass.configs.models.qwen.hf_qwen2_1_5b_instruct import \
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models as hf_qwen2_1_5b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.qwen.hf_qwen2_7b_instruct import \
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models as hf_qwen2_7b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.qwen.lmdeploy_qwen2_1_5b_instruct import \
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models as lmdeploy_qwen2_1_5b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.qwen.lmdeploy_qwen2_7b_instruct import \
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models as lmdeploy_qwen2_7b_instruct_model # noqa: F401, E501
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from opencompass.configs.models.qwen.vllm_qwen1_5_0_5b_chat import \
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models as vllm_qwen1_5_0_5b_chat_model # noqa: F401, E501
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from opencompass.configs.models.yi.hf_yi_1_5_6b_chat import \
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models as hf_yi_1_5_6b_chat_model # noqa: F401, E501
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from opencompass.configs.models.yi.hf_yi_1_5_9b_chat import \
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models as hf_yi_1_5_9b_chat_model # noqa: F401, E501
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race_datasets = [race_datasets[1]]
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datasets = sum([v for k, v in locals().items() if k.endswith('_datasets')], [])
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api_meta_template = dict(
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round=[
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dict(role='HUMAN', api_role='HUMAN'),
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dict(role='BOT', api_role='BOT', generate=True),
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],
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reserved_roles=[dict(role='SYSTEM', api_role='SYSTEM')],
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)
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for d in datasets:
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d['reader_cfg']['test_range'] = '[0:32]'
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models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
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for m in models:
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if 'turbomind' in m['abbr'] or 'lmdeploy' in m['abbr']:
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m['engine_config']['max_batch_size'] = 1
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m['batch_size'] = 1
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models = sorted(models, key=lambda x: x['run_cfg']['num_gpus'])
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summarizer = dict(
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dataset_abbrs=[
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'gsm8k',
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'race-middle',
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'race-high',
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],
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summary_groups=sum(
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[v for k, v in locals().items() if k.endswith('_summary_groups')], []),
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)
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