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). Inspired by
GPT-J 8bit.
1from transformers import GPTJForCausalLM
2model = GPTJForCausalLM.from_pretrained("gustavecortal/fr-boris-8bit")
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.