readme: ---
  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](https://github.com/kingoflolz/mesh-transformer-jax) codebase.
  
  Boris was trained on around 78B tokens of French text from the [C4](https://huggingface.co/datasets/c4) dataset. We started training from GPT-J, which has been trained on [The Pile](https://pile.eleuther.ai/). 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](https://en.wikipedia.org/wiki/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](https://en.cedille.ai/).
  
  Cedille is a relatively large model and running it in production can get expensive. Consider contacting us for API access at hello@cedille.ai.
  
  
  ## 📊 Cedille paper
  Our paper is out now! https://arxiv.org/abs/2202.03371
  
  Thanks for citing our work if you make use of Cedille
  ```bibtex
  @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 hello@cedille.ai.
  
  ## Links
  * [Official website](https://en.cedille.ai/)
  * [Blog](https://en.cedille.ai/blog)
  * [GitHub](https://github.com/coteries/cedille-ai)
  * [Twitter](https://twitter.com/CedilleAI)
  
  