---
license: bigscience-bloom-rail-1.0
datasets:
- OpenAssistant/oasst1
- LEL-A/translated_german_alpaca_validation
- deepset/germandpr
language:
- de
pipeline_tag: conversational
---

# Instruction-fine-tuned German language model (6B parameters)

Base model: [malteos/bloom-6b4-clp-german](https://huggingface.co/malteos/bloom-6b4-clp-german) [(Ostendorff and Rehm, 2023)](https://arxiv.org/abs/2301.09626)

Trained on:
- 20B additional German tokens
- [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (German subset)
- [LEL-A/translated_german_alpaca_validation](https://huggingface.co/datasets/LEL-A/translated_german_alpaca_validation)
- [LEL-A's version of deepset/germandpr](https://github.com/LEL-A/EuroInstructProject#instruct-germandpr-dataset-v1-german)

## Chat demo

[https://opengptx.dfki.de/chat/](https://opengptx.dfki.de/chat/)

Please note that this a research prototype and may not be suitable for extensive use. 


## How to cite

If you are using our code or models, please cite [our paper](https://arxiv.org/abs/2301.09626):

```bibtex
@misc{Ostendorff2023clp,
  doi = {10.48550/ARXIV.2301.09626},
  author = {Ostendorff, Malte and Rehm, Georg},
  title = {Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning},
  publisher = {arXiv},
  year = {2023}
}

```

## License

[BigScience BLOOM RAIL 1.0](https://bigscience.huggingface.co/blog/the-bigscience-rail-license)