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[ARTICLE · art-144746] src=marktechpost.com ↗ pub= topic=artificial-intelligence verified=true sentiment=· neutral

Aleph Alpha Releases Kolibri: A 78.1B Open-Weight English-German MoE Model With Only 3.46B Active Parameters

Aleph Alpha released Kolibri, a 78.1B-parameter English-German Mixture-of-Experts model that activates only 3.46B parameters per token, with a 1M-token context and per-request reasoning effort. The Apache 2.0 FP8 weights run on a single B200 or H200 GPU.

by read1 min views1 publishedOct 4, 2026

Aleph Alpha has released Kolibri, a 78.1B-parameter English-German Mixture-of-Experts model that activates only 3.46B parameters per token. It has a 1M-token context and per-request reasoning effort, and its Apache 2.0 FP8 weights run on a single B200 or H200.

The post Aleph Alpha Releases Kolibri: A 78.1B Open-Weight English-German MoE Model With Only 3.46B Active Parameters appeared first on MarkTechPost.

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