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+ ---
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+ inference: false
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+ license: llama2
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+ language:
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+ - en
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+ tags:
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+ - information retrieval
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+ - reranker
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+ ---
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+
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+ # RankVicuna Model Card
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+
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+ ## Model Details
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+
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+ RankVicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
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+
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+ - **Developed by:** [Castorini](https://github.com/castorini)
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+ - **Model type:** An auto-regressive language model based on the transformer architecture
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+ - **License:** Llama 2 Community License Agreement
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+ - **Finetuned from base model:** [Llama 2](https://arxiv.org/abs/2307.09288)
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+
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+ This specific model is a 7B variant and is trained with data augmentation.
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+
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+ ### Model Sources
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+
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+ - **Repository:** https://github.com/castorini/rank_llm
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+ - **Paper:** https://arxiv.org/abs/2309.15088
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+
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+ ## Uses
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+
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+ The primary use of RankVicuna is research at the intersection large language models and retrieval.
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+ The primary intended users of the model are researchers and hobbyists in natural language processing and information retrieval.
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+
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+ ## Training Details
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+ RankVicuna is finetuned from `lmsys/vicuna-7b-v1.5` with supervised instruction fine-tuning.
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+
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+ ## Evaluation
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+ RankVicuna is currently evaluated on DL19/DL20. See more details in our [paper](https://arxiv.org/pdf/2309.15088.pdf).