Skip to main content
Language modelOpen weights

K2 Horizon 7B

Institute of Foundation Models

Released
September 3, 2026
Data date
October 7, 2026
Input
Text
Output
Text

K2 Horizon 7B is a dense model with a 512K context for coding, reasoning, and multi-step tasks. After reinforcement learning, it receives an extra FTPO stage that the model card says is intended to reduce repetitive loops in long generations. The smaller 3.7B model follows a similar training path.

Specifications and access

SpecificationValue and source
Parameters
7B total parametersSource
Active parameters
7B parameters per tokenSource
Context window
524,288 tokensSource
Input modalities
TextSource
Output modalities
TextSource
Documented training stages
Pretraining, four midtraining stages, math, code, search, and tool-use RL experts with a merge, two SFT phases, and a final anti-doom-loop FTPO step.Source
License
Apache 2.0Source