readme: ---
  license: bigscience-bloom-rail-1.0
  datasets:
  - oscar
  language:
  - de
  library_name: transformers
  pipeline_tag: text-generation
  ---
  
  # BLOOM-CLP German (6.4B parameters)
  
  This is a monolingual German language model trained using the [CLP-Transfer](https://arxiv.org/abs/2301.09626) method based on [BLOOM-7b1](https://huggingface.co/bigscience/bloom-7b1).
  
  You can try out the model at [European Language Grid](https://live.european-language-grid.eu/catalogue/tool-service/20825/try%20out/).
  
  ## Training dataset
  
  - ca. 50B German tokens
  - Web-crawled content from the German subset [OSCAR v22.01](https://oscar-corpus.com/post/oscar-v22-01/) (excluding content tagged as header, footer, noisy, or adult)
  - Web-crawled content from the [GC4 Corpus](https://german-nlp-group.github.io/projects/gc4-corpus.html) (including only the head and middle parts)
  - Both Web-crawled datasets are deduplicated with [Google's suffix array implementation](https://github.com/google-research/deduplicate-text-datasets)
  - German court decisions from [Open Legal Data](http://openlegaldata.io/)
  
  ## Code
  
  - [BigScience's Megatron-Deepspeed fork](https://github.com/bigscience-workshop/Megatron-DeepSpeed)
  
  ## Hardware
  
  - 32xA100-40GB GPUs
  
  ## Evaluation
  
  TBA (see paper)
  