IFM Releases K2 Horizon: Six Apache 2.0 Models From 0.9B to 375B
2026-09-07 13:00Models🔥 42.2 heat score
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The IFM laboratory under `MBZUAI` released the K2 Horizon suite on September 7, 2026, comprising six open-source models with parameters ranging from 0.9B to 375B-A23B. The suite uses the Apache 2.0 protocol and provides complete resources such as pre-trained datasets, intermediate checkpoints, and training code. All models support FP8 and GGUF formats and are available for deployment on platforms such as Hugging Face, vLLM, SGLang, and Ollama. The six models share a common core architecture and interfaces; the MoVA technology extends expert routing to the attention mechanism, enabling the 36B-A4B model to achieve better performance than dense models of the same size while maintaining parameter sparsity; the Uno adapter achieves approximately 3 times faster inference through diffusion distillation. The K2-Horizon-375B-A23B scored 70.2 on Terminal-Bench 2.1, but on SWE-bench Ver…
The IFM laboratory under `MBZUAI` released K2 Horizon last week, offering six Apache 2.0 open-source models ranging from 0.9B to 375B-A23B. The kit includes pre-trained datasets, intermediate checkpoints, and training code, among other complete resources. All models support FP8 and GGUF formats and are available for deployment on platforms such as Hugging Face, vLLM, SGLang, and Ollama. The six models share a common core architecture and interfaces; the MoVA technology extends expert routing to the attention mechanism, enabling the 36B-A4B model to outperform dense models of the same size while maintaining parameter sparsity. The Uno adapter achieves approximately three times faster inference through diffusion distillation. K2-Horizon-375B-A23B scored 70.2 on Terminal-Bench 2.1, but it lagged behind GPT-5.6 Lu in tasks such as SWE-bench Verified.