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42 lines
1.7 KiB
Python
42 lines
1.7 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 tests.models.language.pooling.embed_utils import (
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correctness_test_embed_models)
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from tests.models.utils import CLSPoolingEmbedModelInfo, EmbedModelInfo
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from .mteb_utils import mteb_test_embed_models
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MODELS = [
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CLSPoolingEmbedModelInfo("nomic-ai/nomic-embed-text-v1",
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architecture="NomicBertModel",
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mteb_score=0.737568559,
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enable_test=True),
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CLSPoolingEmbedModelInfo("nomic-ai/nomic-embed-text-v1.5",
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architecture="NomicBertModel",
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enable_test=False),
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CLSPoolingEmbedModelInfo("nomic-ai/CodeRankEmbed",
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architecture="NomicBertModel",
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enable_test=False),
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CLSPoolingEmbedModelInfo("nomic-ai/nomic-embed-text-v2-moe",
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architecture="NomicBertModel",
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mteb_score=0.715488912,
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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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