Kolibri: A Sovereign Open-Weight Model

Kolibri is an open-weight model with two versions: Kolibri Origin and Kolibri. Kolibri Origin, finished pre-training on June 11, 2026, has 30.6B total parameters and 3.27B active parameters per token. Kolibri, finished pre-training on September 11, 2026, has 78.1B total parameters and 3.46B active parameters per token. Both models feature 50 layers, with Kolibri Origin using 2 dense + 48 MoE layers and Kolibri using all MoE layers. Kolibri has a longer pre-training context length of 16,384 (16k) and a longest trained length of 262,144 (256k) compared to Kolibri Origin's 8,192 (8k) and 65,536 (64k) respectively.

This report provides the first detailed comparison of Kolibri Origin and Kolibri, highlighting their distinct architectural choices and performance across various benchmarks.