IFM's K2 Horizon aims to make the whole training pipeline inspectable
kimmonismus · x · 2026-09-09
IFMAI launched K2 Horizon, a connected fleet of six models ranging from 0.9B to 375B total parameters. The ambitious part: making the training process inspectable across pretraining, reasoning, and agentic post-training, with sparse variants activating only 4B and 23B parameters per token.
Related event: IFM Open-Sources K2 Horizon Model Fleet From 0.9B to 375B(4 posts)→
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