# K2 Horizon

K2-Horizon is IFM's frontier reasoning series, built for agentic tool use and long-horizon tasks. Six open-weight sizes run from on-device to datacenter; the 375B sparse MoE is the model served on the hosted API.

- **Weights license:** Apache 2.0
- **Hugging Face collection:** [IFM/K2-Horizon](https://huggingface.co/collections/IFM/k2-horizon)
- **Pre-train data cutoff:** December 2025

## Model series

Six sizes spanning dense, MoVA + MoE, and sparse MoE architectures. Every size is released as open weights; the 375B is the one served on the hosted API. [Explore the collection on Hugging Face →](https://huggingface.co/collections/IFM/k2-horizon)

| Model | Architecture | Context | Best for | API | Weights |
| --- | --- | --- | --- | --- | --- |
| IFM/K2-Horizon-375B-A23B | Sparse MoE | 512K | Frontier reasoning and long-horizon agents | [Yes](https://docs.ifm.ai/docs/chat-completions.md) | [View](https://huggingface.co/IFM/K2-Horizon-375B-A23B) |
| IFM/K2-Horizon-MoVA-36B-A4B | MoVA + MoE | 512K | Production-style serving experiments | No | [View](https://huggingface.co/IFM/K2-Horizon-MoVA-36B-A4B) |
| IFM/K2-Horizon-32B | Dense decoder-only | 512K | Long-context and reasoning experiments | No | [View](https://huggingface.co/IFM/K2-Horizon-32B) |
| IFM/K2-Horizon-7B | Dense decoder-only | 512K | Fine-tuning and cost-conscious deployment | No | [View](https://huggingface.co/IFM/K2-Horizon-7B) |
| IFM/K2-Horizon-3.7B | Dense decoder-only | 512K | Efficient research and single-node serving | No | [View](https://huggingface.co/IFM/K2-Horizon-3.7B) |
| IFM/K2-Horizon-0.9B | Dense decoder-only | 128K | Local development, evaluation dry runs | No | [View](https://huggingface.co/IFM/K2-Horizon-0.9B) |

_Last updated: October 15, 2026_
