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48 lines
2.0 KiB
Python
48 lines
2.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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import pytest
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from ...utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
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from .embed_utils import 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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########## BertModel
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CLSPoolingEmbedModelInfo("intfloat/e5-small",
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architecture="BertModel",
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enable_test=True),
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CLSPoolingEmbedModelInfo("intfloat/e5-base",
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architecture="BertModel",
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enable_test=False),
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CLSPoolingEmbedModelInfo("intfloat/e5-large",
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architecture="BertModel",
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enable_test=False),
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CLSPoolingEmbedModelInfo("intfloat/multilingual-e5-small",
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architecture="BertModel",
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enable_test=False),
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########## XLMRobertaModel
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CLSPoolingEmbedModelInfo("intfloat/multilingual-e5-base",
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architecture="XLMRobertaModel",
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enable_test=True),
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CLSPoolingEmbedModelInfo("intfloat/multilingual-e5-large",
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architecture="XLMRobertaModel",
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enable_test=False),
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CLSPoolingEmbedModelInfo("intfloat/multilingual-e5-large-instruct",
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architecture="XLMRobertaModel",
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enable_test=False),
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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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