Model Summary

GritLM is a generative representational instruction tuned language model. It unifies text representation (embedding) and text generation into a single model achieving state-of-the-art performance on both types of tasks.

• Repository: ContextualAI/gritlm
• Paper: https://arxiv.org/abs/2402.09906
• Logs: https://wandb.ai/muennighoff/gritlm/runs/0uui712t/overview
• Script: https://github.com/ContextualAI/gritlm/blob/main/scripts/training/train_gritlm_7b.sh

Use

The model usage is documented here.

Citation

@misc{muennighoff2024generative,
 title={Generative Representational Instruction Tuning}, 
 author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela},
 year={2024},
 eprint={2402.09906},
 archivePrefix={arXiv},
 primaryClass={cs.CL}
}

Base model