metadata

pipeline_tag: text-generation
inference: true
license: apache-2.0
datasets:
  - GritLM/tulu2

Model Summary

A KTO version of https://huggingface.co/GritLM/GritLM-7B

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

Model	Description
GritLM 7B	Mistral 7B finetuned using GRIT
GritLM 8x7B	Mixtral 8x7B finetuned using GRIT

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}
}