Aleph Alpha Releases Kolibri-1, an Open-Weight LLM with 78B Parameters and 1M Context
Aleph Alpha has released its Kolibri-1 large language model, making its full weights available on Hugging Face under an Apache 2.0 license. The model is reported to have 78 billion parameters, with 3.46 billion active parameters, and supports a context window of up to 1 million tokens. The availability on Hugging Face, as reported by r/LocalLLaMA, serves as a direct confirmation of the model's release and its technical specifications. While some reports highlight Kolibri's positioning as a "sovereign German AI model for government use," the primary established fact is its public, open-weight release.
5 articles from 4 outlets covered this story. The underlying claim is sourced from a shipped.
What do all outlets agree on?
4 outlets covered “Aleph Alpha Releases Kolibri-1, an Open-Weight LLM with 78B Parameters and 1M Context”. All of them report the following:
- Aleph Alpha released a model named Kolibri or Kolibri-1
- The model's weights are available on Hugging Face
- The model is released under an Apache 2.0 license
- It has 78 billion parameters
- It has a context window of up to 1 million tokens
- It is an open-weight model
Which outlets covered this?
All 5 articles found on this story, grouped by the stance of the piece. Every link goes to the original publisher.