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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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# RankVicuna (No Data Augmentation - FP16) Model Card |
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## Model Details |
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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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- **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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This specific model is a 7B variant and is trained without data augmentation. |
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It is also worth noting that it is converted to FP16. |
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### Model Sources |
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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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## Uses |
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The primary use of RankVicuna is research at the intersection of 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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## Training Details |
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RankVicuna is finetuned from `lmsys/vicuna-7b-v1.5` with supervised instruction fine-tuning. |
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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). |
