Small bird, fast wings, Kolibri is here.
78B parameters. 3.46B active. Up to 1M tokens of context. Built in Europe.
Now the weights are yours. Run it on your own hardware, under Apache 2.0.
How does the community evaluate multilingual capabilities of LLMs? Mostly by translating evaluation datasets, since most of them are predominantly in English. How does translation change what the eval actually measures?
Scaling RL environments and their infrastructure comes with several challenges. We documented our experiences while building Kolibri: stalling GPUs, images filling the disks, crashed sandboxes scored as wrong answers, and reward hacks.
Kolibri 1 now runs natively in Transformers 5.20!
We are still overwhelmed by all the community feedback.
You can now spin up our Kolibri models in just a few lines of code using 🤗transformers.
Special thanks go to Luca Motz (@LucaMotz3141) and Harry Mellor (@hmellor_) for