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AI 모델 84759

• multilingual-e5-small-ko↗

  dragonkue

  This is a sentence-transformers model finetuned from intfloat/multilingual-e5-small on datasets that include Korean query-passage pairs for improved performance on Korean retrieval tasks. It maps sentences & paragraphs to a 384-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more. This model is a lightweight Korean retriever, designed for ease of use and strong performance in practical retrieval tasks. It is ideal for running demos or lightweight applications, offering a good balance between speed and accuracy. For even higher retrieval performance, we recommend combining it with a reranker. Suggested reranker models:

• tt-tnt-1024↗

  episod

• Qwen3.5-0.8b-instruct-v2-gguf↗

  ertghiu256

• decision-4b-gguf↗

  evalengine

• mms-tts-cco↗

  facebook

• sn38-2026-04↗

  fitleech

• Qwen3-0.6B-DISTILL-glm-4.7-think-GGUF↗

  glogwa68

• bert-base-cased-finetuned-mrpc↗

  google-bert

• codegemma-7b-it-pytorch↗

  Google

• gemma-1.1-7b-it-pytorch↗

  Google