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AI モデル 84759

• Salience-27B-R6-GGUF↗

  mradermacher

• UDI-VIS-128K-Llama-3.1-8B-GGUF↗

  mradermacher

• UNA-SimpleSmaug-34b-v1beta-GGUF↗

  mradermacher

• Voxtral-Mini-4B-Realtime-estonian-2609-GGUF↗

  mradermacher

• yolov8s-visdrone↗

  mshamrai

• pubmedbert-base-embeddings-100K↗

  NeuML

• humanizer↗

  npario

• Qwen-Image-Edit-mflux↗

  npario

• DeepSeek-R1-Distill-Qwen-1.5B_qfilt↗

  nthngdy

• dragon-multiturn-query-encoder↗

  NVIDIA

  We introduce Dragon-multiturn, a retriever specifically designed for the conversational QA scenario. It can handle conversational query which combine dialogue history with the current query. It is built on top of the Dragon retriever. The details of Dragon-multiturn can be found in here. **Please note that Dragon-multiturn is a dual encoder consisting of a query encoder and a context encoder. This repository is only for the query encoder of Dragon-multiturn for getting the query embeddings, and you also need the context encoder to get context embeddings, which can be found here. Both query encoder and context encoder share the same tokenizer.** .tg {border:none;border-collapse:collapse;border-spacing:0;} .tg td{border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;overflow:hidden; padding:10px 5px;word-break:normal;} .tg th{border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;font-weight:normal; overflow:hidden;padding:10px 5px;word-break:normal;} .tg .tg-c3ow{border-color:inherit;text-align:center;vertical-align:center} .tg .tg-0pky{border-color:inherit;text-align:left;vertical-align:center} top-1 top-5 top-1 top-5 top-1 top-5 top-1 top-5 top-5* top-20* top-5* top-20*