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README.md
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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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- causal-lm
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- fr
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datasets:
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- c4
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- The Pile
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---
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### Quantized Cedille/fr-boris with 8-bit weights
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This is a version of Cedille's GPT-J (fr-boris) with 6 billion parameters that is modified so you can generate **and fine-tune the model in colab or equivalent desktop gpu (e.g. single 1080Ti)**.
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Here's how to run it: [](https://colab.research.google.com/drive/1ft6wQU0BhqG5PRlwgaZJv2VukKKjU4Es)
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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.
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## Links
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* [Cedille](https://en.cedille.ai/)
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* [Hivemind](https://training-transformers-together.github.io/)
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* [My Twitter](https://twitter.com/gustavecortal)
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