Create README.md

README.md

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+---
+inference: false
+license: llama2
+language:
+- en
+tags:
+- information retrieval
+- reranker
+---
+
+# RankVicuna (No Data Augmentation) Model Card
+
+## Model Details
+
+RankVicuna is a chat assistant trained by fine-tuning Llama 2 on user-shared conversations collected from ShareGPT.
+
+- **Developed by:** [Castorini](https://github.com/castorini)
+- **Model type:** An auto-regressive language model based on the transformer architecture
+- **License:** Llama 2 Community License Agreement	
+- **Finetuned from base model:** [Llama 2](https://arxiv.org/abs/2307.09288)
+
+This specific model is a 7B variant and is trained without data augmentation.
+
+### Model Sources
+
+- **Repository:** https://github.com/castorini/rank_llm
+- **Paper:** https://arxiv.org/abs/2309.15088
+
+## Uses
+
+The primary use of RankVicuna is research at the intersection large language models and retrieval.
+The primary intended users of the model are researchers and hobbyists in natural language processing and information retrieval.
+
+## Training Details
+
+RankVicuna is finetuned from `lmsys/vicuna-7b-v1.5` with supervised instruction fine-tuning.
+
+## Evaluation
+
+RankVicuna is currently evaluated on DL19/DL20. See more details in our [paper](https://arxiv.org/pdf/2309.15088.pdf).