Kolibri — AI News Today

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Kolibri — Aleph Alpha's 78.1B-parameter English-German Mixture-of-Experts model released October 2026 under Apache 2.0. It activates only 3.46B parameters per token, supports a 1M-token context with per-request reasoning effort, and was trained to say "I don't know", giving Europe another sovereign open-weight option.

huggingface.co/Aleph-Alpha/Kolibri-1

14 stories about Kolibri

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About Kolibri

Kolibri is a large language model by Aleph Alpha. Kolibri — Aleph Alpha's 78.1B-parameter English-German Mixture-of-Experts model released October 2026 under Apache 2.0. It activates only 3.46B parameters per token, supports a 1M-token context with per-request reasoning effort, and was trained to say "I don't know", giving Europe another sovereign open-weight option. This page tracks 14 recent news stories about Kolibri, curated from 30+ sources and updated every 15 minutes.

Kolibri — Coverage Momentum

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First tracked Oct 2026. Most-citing sources: r/LocalLLaMA (2), Medium (2), r/accelerate (1), Marktechpost (1). Data aggregated by Best AI News Today from 30+ sources.

14 stories

Frequently Asked Questions

What is Kolibri?

Kolibri is Kolibri — Aleph Alpha's 78.1B-parameter English-German Mixture-of-Experts model released October 2026 under Apache 2.0. It activates only 3.46B parameters per token, supports a 1M-token context with per-request reasoning effort, and was trained to say "I don't know", giving Europe another sovereign open-weight option.

Where can I access Kolibri?

Kolibri is available at https://huggingface.co/Aleph-Alpha/Kolibri-1. It's developed by Aleph Alpha.

What is the latest news about Kolibri?

As of today, there are 14 recent stories about Kolibri. Recent headlines include: Mistral Large 4 vs Kolibri vs Beam: Which Open-Weight LLM?; How Sovereign Is Kolibri?; 5 Questions to Ask Before Using This Free German AI Model. Updated every 15 minutes.

What other LLM AI models are there?

Kolibri is part of the LLM model category. Browse all comparable AI llm models with live news mentions and benchmarks.