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56 lines
2.2 KiB
Python
56 lines
2.2 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import pytest
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from .embed_utils import EmbedModelInfo, correctness_test_embed_models
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from .mteb_utils import mteb_test_embed_models
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MODELS = [
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-xs",
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is_matryoshka=False,
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architecture="BertModel",
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enable_test=True),
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-s",
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is_matryoshka=False,
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architecture="BertModel",
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enable_test=False),
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-m",
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is_matryoshka=False,
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architecture="BertModel",
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enable_test=False),
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-m-long",
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is_matryoshka=False,
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architecture="NomicBertModel",
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enable_test=True),
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-l",
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is_matryoshka=False,
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architecture="BertModel",
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enable_test=False),
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-m-v1.5",
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is_matryoshka=True,
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architecture="BertModel",
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enable_test=True),
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-l-v2.0",
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is_matryoshka=True,
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architecture="XLMRobertaModel",
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enable_test=True),
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EmbedModelInfo("Snowflake/snowflake-arctic-embed-m-v2.0",
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is_matryoshka=True,
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architecture="GteModel",
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enable_test=True),
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]
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@pytest.mark.parametrize("model_info", MODELS)
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def test_embed_models_mteb(hf_runner, vllm_runner,
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model_info: EmbedModelInfo) -> None:
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mteb_test_embed_models(hf_runner, vllm_runner, model_info)
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@pytest.mark.parametrize("model_info", MODELS)
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def test_embed_models_correctness(hf_runner, vllm_runner,
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model_info: EmbedModelInfo,
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example_prompts) -> None:
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correctness_test_embed_models(hf_runner, vllm_runner, model_info,
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example_prompts)
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