Germany's Aleph Alpha released Kolibri on October 3 — a 78-billion-parameter English/German model with the full weights posted openly under Apache 2.0 on Hugging Face.
AspireAI community · huggingface.co
Germany's Aleph Alpha released Kolibri on October 3 — a 78-billion-parameter English/German model with the full weights posted openly under Apache 2.0 on Hugging Face.
The architecture is a Mixture-of-Experts: only about 3.46 billion parameters fire for any token, and the context window can stretch to 1 million tokens (recommended up to 262k for serving). The training was 20 trillion tokens on 768 NVIDIA B200 GPUs over 21 days, documented in a 189-page technical report.
Aleph Alpha's own numbers show Kolibri ahead of similar-sized open models on AIME 2026 (96.0) and GPQA Diamond (84.3), but trailing Qwen3.6-35B-A3B on long-context and tool-use evals. Vendor benchmarks — flag accordingly.
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