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AI モデル 84757

• beetle-bilingual-l2-50-simultaneous-b2-fineweb-rus-eng↗

  Beetle-FineWeb-24B-4

• rwkv-6-misc↗

  BlinkDL

• DeepSeek-R1-Distill-Qwen-7B-GGUF-llamafile↗

  Bojun-Feng

• neurorvq-eeg-pretrained↗

  braindecode

• Diagnostic-Reasoning-Q3X1↗

  Clinical-Reasoning-Hub

• dots.ocr-1.5↗

  davanstrien

• scglm-v2-46m↗

  davemaxuellkr

• Qwen3.8-Flash-Next-heretic-2-ROCMFP4↗

  Deritak

• 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