|
--- |
|
inference: false |
|
license: llama2 |
|
language: |
|
- en |
|
tags: |
|
- information retrieval |
|
- reranker |
|
--- |
|
|
|
# RankVicuna 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 with 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). |
