---
language: de
license: mit
tags:
- pytorch
- causal-lm
datasets:
- c4
---

# Cedille AI
Cedille is a project to bring large language models to non-English languages.

## de-anna
Anna 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.

Anna was trained on German text with a similar methodology to [Boris](https://huggingface.co/Cedille/fr-boris), our French model. 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. Anna makes use of the unmodified GPT-2 tokenizer.

# How to run

## Loading the model
### Base (requires 48+ GB of RAM)
```
from transformers import AutoTokenizer, AutoModelForCausalLM

tokenizer = AutoTokenizer.from_pretrained("Cedille/de-anna")
model = AutoModelForCausalLM.from_pretrained("Cedille/de-anna")
```
### Lower memory usage (loads on 16GB of RAM)
GPT_J models (link) have a parameter to only be loaded once ...
Combine that with half precision (fp16) ...
TO DO

## Generation
TO DO

## 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)