language: fr
license: mit
tags:
- pytorch
- causal-lm
datasets:
- c4
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 hello@cedille.ai.
How do I cite Cedille?
Thanks for citing our work in case you build on top of Cedille. For the time being, please reference our work like so:
@misc{cedille2021,
author = {Laurent, F. and Muller, M.},
title = {Cedille AI},
year = {2021},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/coteries/cedille-ai}}
}
Contact us
For any custom development please contact us at hello@cedille.ai.