IFM Releases K2 Horizon: Six Apache 2.0 Models From 0.9B to 375B
Most open model launches release one checkpoint and a benchmark table. The Institute of Foundation Models (IFM) released something wider last week. IFM is the frontier lab launched by MBZUAI in May 2025. K2 Horizon is a fleet of six models: 375B-A23B, 36B-A4B, 32B, 7B, 3.7B and 0.9B. Shipping alongside them are the pre-training corpus, intermediate checkpoints, training code, configs and fine-grained logs. IFM calls it the largest fully open-source model launch in AI history. Is it deployabl
The Institute of Foundation Models released K2 Horizon, a collection of six open-source language models ranging from 0.9 billion to 375 billion parameters, all available under Apache 2.0 licensing. The release is notable for its scope: alongside the models themselves, the institute published the training data, intermediate checkpoints, training code, and detailed logs, calling it the largest fully open-source model launch in AI history. All six models share the same core architecture and deployment tools, allowing teams to prototype on smaller versions and scale to larger ones without changing their infrastructure. The release includes two technical innovations: MoVA, which applies expert routing to attention mechanisms rather than just feed-forward layers, and Uno, a training method that delivers roughly 3 times faster decoding speed as an add-on adapter.
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