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README.md
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---
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license: bigscience-bloom-rail-1.0
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datasets:
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- OpenAssistant/oasst1
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- LEL-A/translated_german_alpaca_validation
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- deepset/germandpr
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language:
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- de
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pipeline_tag: conversational
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---
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# Instruction-fine-tuned German language model (6B parameters)
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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)
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Trained on:
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- 20B additional German tokens
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- [OpenAssistant/oasst1](https://huggingface.co/datasets/OpenAssistant/oasst1) (German subset)
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- [LEL-A/translated_german_alpaca_validation](https://huggingface.co/datasets/LEL-A/translated_german_alpaca_validation)
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- [LEL-A's version of deepset/germandpr](https://github.com/LEL-A/EuroInstructProject#instruct-germandpr-dataset-v1-german)
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## Chat demo
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[https://opengptx.dfki.de/chat/](https://opengptx.dfki.de/chat/)
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Please note that this a research prototype and may not be suitable for extensive use.
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## How to cite
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If you are using our code or models, please cite [our paper](https://arxiv.org/abs/2301.09626):
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```bibtex
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@misc{Ostendorff2023clp,
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doi = {10.48550/ARXIV.2301.09626},
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author = {Ostendorff, Malte and Rehm, Georg},
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title = {Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning},
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publisher = {arXiv},
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year = {2023}
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}
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```
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## License
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[BigScience BLOOM RAIL 1.0](https://bigscience.huggingface.co/blog/the-bigscience-rail-license)
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