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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.

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.

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

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Dataset used to train stefan-it/electra-base-gc4-64k-800000-cased-generator