readme: ---
  language: de
  license: mit
  datasets:
  - german-nlp-group/german_common_crawl
  ---
  
  # GC4LM: A Colossal (Biased) language model for German
  
  This repository presents a colossal (and biased) language model for German trained on the recently released
  ["German colossal, clean Common Crawl corpus"](https://german-nlp-group.github.io/projects/gc4-corpus.html) (GC4),
  with a total dataset size of ~844GB.
  
  ---
  
  **Disclaimer**: the presented and trained language models in this repository are for **research only** purposes.
  The GC4 corpus - that was used for training - contains crawled texts from the internet. Thus, the language models can
  be considered as highly biased, resulting in a model that encodes stereotypical associations along gender, race,
  ethnicity and disability status. Before using and working with the released checkpoints, it is highly recommended
  to read:
  
  [On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?](https://faculty.washington.edu/ebender/papers/Stochastic_Parrots.pdf)
  
  from Emily M. Bender, Timnit Gebru, Angelina McMillan-Major and Shmargaret Shmitchell.
  
  The aim of the released checkpoints is to boost research on large pre-trained language models for German, especially
  for identifying biases and how to prevent them, as most research is currently done only for English.
  
  ---
  
  Please use the new GitHub Discussions feature in order to discuss or present further research questions.
  Feel free to use `#gc4lm` on Twitter 🐦.