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" (GC4), with a total dataset size of ~844GB.

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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?

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.

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Please use the new GitHub Discussions feature in order to discuss or present further research questions. Feel free to use #gc4lm on Twitter 🐦.