RankVicuna (FP16) 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
- Model type: An auto-regressive language model based on the transformer architecture
- License: Llama 2 Community License Agreement
- Finetuned from base model: Llama 2
This specific model is a 7B variant and is trained with data augmentation. It is also worth noting that it is converted to FP16.
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 of 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.
- Downloads last month
- 1,638
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
The model cannot be deployed to the HF Inference API:
The model authors have turned it off explicitly.