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* Update daily-run-test.yml * Create eval_regression_chat.py * Delete .github/scripts/.github/scripts/eval_regression_chat.py * Create eval_regression_chat.py * Update pr-run-test.yml * Update daily-run-test.yml * Update daily-run-test.yml * Update daily-run-test.yml * Update oc_score_baseline.yaml * Update oc_score_assert.py * Update daily-run-test.yml * Update daily-run-test.yml * Update oc_score_baseline.yaml * Update oc_score_assert.py * Update oc_score_assert.py * fix lint * update * update * update * update * update * update * update * update * update * Update daily-run-test.yml * update --------- Co-authored-by: zhulin1 <zhulin1@pjlab.org.cn>
53 lines
2.8 KiB
Python
53 lines
2.8 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 ...configs.datasets.gsm8k.gsm8k_gen_17d0dc import \
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gsm8k_datasets # noqa: F401, E501
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from ...configs.datasets.race.race_ppl import \
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race_datasets # noqa: F401, E501
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from ...configs.models.deepseek.hf_deepseek_moe_16b_base import \
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models as hf_deepseek_moe_16b_base_model # noqa: F401, E501
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# read hf models - chat models
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from ...configs.models.deepseek.lmdeploy_deepseek_7b_base import \
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models as lmdeploy_deepseek_7b_base_model # noqa: F401, E501
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from ...configs.models.deepseek.vllm_deepseek_moe_16b_base import \
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models as vllm_deepseek_moe_16b_base_model # noqa: F401, E501
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from ...configs.models.gemma.hf_gemma_2b import \
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models as hf_gemma_2b_model # noqa: F401, E501
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from ...configs.models.gemma.hf_gemma_7b import \
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models as hf_gemma_7b_model # noqa: F401, E501
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from ...configs.models.hf_internlm.lmdeploy_internlm2_1_8b import \
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models as lmdeploy_internlm2_1_8b_model # noqa: F401, E501
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from ...configs.models.hf_internlm.lmdeploy_internlm2_7b import \
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models as lmdeploy_internlm2_7b_model # noqa: F401, E501
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from ...configs.models.hf_internlm.lmdeploy_internlm2_base_7b import \
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models as lmdeploy_internlm2_base_7b_model # noqa: F401, E501
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from ...configs.models.hf_llama.lmdeploy_llama3_8b import \
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models as lmdeploy_llama3_8b_model # noqa: F401, E501
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from ...configs.models.mistral.hf_mistral_7b_v0_2 import \
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models as hf_mistral_7b_v0_2_model # noqa: F401, E501
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from ...configs.models.mistral.vllm_mistral_7b_v0_2 import \
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models as vllm_mistral_7b_v0_2_model # noqa: F401, E501
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from ...configs.models.qwen.hf_qwen1_5_moe_a2_7b import \
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models as hf_qwen1_5_moe_a2_7b_model # noqa: F401, E501
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from ...configs.models.qwen.hf_qwen2_0_5b import \
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models as hf_qwen2_0_5b_model # noqa: F401, E501
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from ...configs.models.qwen.lmdeploy_qwen2_1_5b import \
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models as lmdeploy_qwen2_1_5b_model # noqa: F401, E501
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from ...configs.models.qwen.lmdeploy_qwen2_7b import \
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models as lmdeploy_qwen2_7b_model # noqa: F401, E501
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from ...configs.models.qwen.vllm_qwen1_5_0_5b import \
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models as vllm_qwen1_5_0_5b_model # noqa: F401, E501
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from ...configs.models.yi.hf_yi_1_5_6b import \
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models as hf_yi_1_5_6b_model # noqa: F401, E501
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from ...configs.models.yi.hf_yi_1_5_9b import \
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models as hf_yi_1_5_9b_model # noqa: F401, E501
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from ...configs.summarizers.medium import summarizer # noqa: F401, E501
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models = sum([v for k, v in locals().items() if k.endswith('_model')], [])
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datasets = sum([v for k, v in locals().items() if k.endswith('_datasets')], [])
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for d in datasets:
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d['reader_cfg']['test_range'] = '[0:100]'
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