Today IFM is releasing K2 Horizon, a connected fleet of six models: 375B-A23B, 36B-A4B, 32B, 7B, 3.7B, and 0.9B. Across reasoning, mathematics, coding, agentic tasks, and general capabilities, K2 Horizon delivers top-tier performance in every size class—with the 0.9B, 3.7B, and 7B models setting new state of the art at their respective scales.

We are releasing intermediate checkpoints, training data or detailed data-construction recipes, open architecture, mixture compositions, training code, configurations, fine-grained logs, evaluation results, and final weights.

The models and code are released under the Apache 2.0 license. Datasets are released under their applicable licenses, such as ODC-BY; We disclose how the data was constructed and mixed when redistribution is not possible.

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[–] 2 points 7 hours ago*

Yes, llama swap also give you a pretty web based statistics of all the calls and runs for every model with t/s and more statistics.

It's pretty neat... You can also load and unload models manually, define groups for models that fit together in vram and so on.

It gives you that automation that people coming from ollama are used to.

under the hood all it does is running llama serve. You convert your models.ini to a yaml file 1:1 (plus a few more flexibility).

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