51 lines
1.7 KiB
Markdown
51 lines
1.7 KiB
Markdown
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---
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language: fr
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license: mit
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tags:
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- pytorch
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- causal-lm
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datasets:
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- c4
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---
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# Cedille AI
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Cedille is a project to bring large language models to non-English languages.
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## fr-boris
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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.
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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.
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Boris is named after the great French writer [Boris Vian](https://en.wikipedia.org/wiki/Boris_Vian).
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# How do I test Cedille?
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For the time being, the easiest way to test the model is to use our [publicly accessible playground](https://en.cedille.ai/).
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Cedille is a relatively large model and running it in production can get expensive. Consider contacting us for API access at hello@cedille.ai.
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## 📊 Cedille paper
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Our paper is out now! https://arxiv.org/abs/2202.03371
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Thanks for citing our work if you make use of Cedille
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```bibtex
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@misc{muller2022cedille,
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title={Cedille: A large autoregressive French language model},
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author={Martin M{\"{u}}ller and Florian Laurent},
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year={2022},
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eprint={2202.03371},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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```
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## Contact us
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For any custom development please contact us at hello@cedille.ai.
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## Links
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* [Official website](https://en.cedille.ai/)
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* [Blog](https://en.cedille.ai/blog)
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* [GitHub](https://github.com/coteries/cedille-ai)
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* [Twitter](https://twitter.com/CedilleAI)
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