Aleph Alpha releases Kolibri: 78B parameters, 1M context, built in Europe
Model releasesRelated articles
Aleph Alpha's Kolibri: the 78B MoE that runs (almost) locally
Kolibri ships 78B open-weight parameters in an FP8 format built for local hardware: 3.46B active per token, Apache 2.0, context up to 1M. We test it: real VRAM costs and current limits.
gpt-oss: OpenAI's open reasoning model
21B total parameters but only 3.6B active, native MXFP4 weights and 128K of context: OpenAI's first open reasoning model fits in 16GB. What that means in practice.
Ling 3.1 Flash: 560B open-weight with MIT license and 1M context — what changes if you have 24GB of VRAM
Ling 3.1 Flash ships 560B open-weight parameters under an MIT license with 1M context. It won't fit in 24GB of VRAM, but the quantizations, 25B active MoE and the real numbers change the calculation.
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