Cedille AI
Cedille is a project to bring large language models to non-English languages.
fr-boris
Boris is a 6B parameter autoregressive language model based on the GPT-J architecture and trained using the mesh-transformer-jax codebase.
Boris was trained on around 78B tokens of French text from the C4 dataset. We started training from GPT-J, which has been trained on The Pile. As a consequence the model still has good performance in English language. Boris makes use of the unmodified GPT-2 tokenizer.
Boris is named after the great French writer Boris Vian.
How do I test Cedille?
For the time being, the easiest way to test the model is to use our publicly accessible playground.
Cedille is a relatively large model and running it in production can get expensive. Consider contacting us for API access at [email protected].
Cedille paper
Our paper is out now! [2202.03371] Cedille: A large autoregressive French language model
Thanks for citing our work if you make use of Cedille
@misc{muller2022cedille,
title={Cedille: A large autoregressive French language model},
author={Martin M{\"{u}}ller and Florian Laurent},
year={2022},
eprint={2202.03371},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
Contact us
For any custom development please contact us at [email protected].