Kolibri is an open-weight large language model (LLM) from Aleph Alpha for German and English: a mixture of experts with 78 billion parameters that only uses about 3.5 billion of them for each token it reads or writes. It came out on 3 October 2026 under the Apache 2.0 license, the weights are on Hugging Face, and it was trained from scratch on infrastructure in Germany and Finland. Aleph Alpha calls Kolibri sovereign, meaning it was built in Germany and Finland under European and German law with no foreign control, and customers get full freedom of deployment and intellectual-property safety.
The model has 78.1 billion total parameters, 3.46 billion active per token, supports 262,144 token context natively, and was trained on about 24 trillion tokens, more than a fifth German, on 768 NVIDIA B200 GPUs. It scores above comparable models in Aleph Alpha’s evaluation for both German and English.
Source: Hacker News · Summarized by HeadlinesBriefing