Show HN: Germany's new sovereign AI model Kolibri

Kolibri is a new sovereign AI model developed by Tejus Shankar, an AI researcher at the University of Edinburgh and a researcher at the University of Edinburgh's AI group, Aleph Alpha. The model is designed to be a more private and transparent alternative to existing large language models like BERT and RoBERTa. Kolibri is based on a new architecture that uses a combination of transformer and recurrent neural networks to achieve state-of-the-art performance on various natural language processing tasks. The model is trained on a dataset of 1.2 billion parameters, which is significantly smaller than the 11 billion parameters used in RoBERTa. Kolibri is designed to be more energy-efficient and requires less computational resources than existing models, making it more suitable for deployment on edge devices. The model is also more transparent and interpretable, allowing users to understand how it arrives at its conclusions. Tejus Shankar plans to open-source the model and make it available for public use.