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What is K2 Horizon?

K2 Horizon consists of a collection of six open models, namely the 375B-A23B, 36B-A4B, 32B, 7B, 3.7B, and 0.9B, each meticulously designed to excel in specific areas such as reasoning, mathematics, coding, agentic tasks, and overall functional capabilities. These models are built upon a cohesive architecture that incorporates a shared vocabulary, training methodologies, interfaces, evaluation frameworks, and deployment tools, which enable smooth transitions between different model sizes and effective management of varying workloads. Leading the lineup, the 375B-A23B model excels in complex reasoning, software development, research endeavors, and long-term agentic operations, whereas the 32B and 36B-A4B models emphasize strong local deployment capabilities. The 36B-A4B model is distinguished by its cutting-edge Mixture-of-Value Attention mechanism, which fuses sparse attention with Mixture-of-Experts layers, enabling it to utilize around 4 billion parameters per token, thereby closely rivaling the performance of the denser 32B model. This innovative architecture not only enhances versatility but also optimizes resource utilization across a diverse array of applications, making K2 Horizon a formidable presence in the field of model technology. Additionally, the collective strengths of these models allow for a comprehensive approach to tackling various challenges within their respective domains.

What is Ai2 OLMoE?

Ai2 OLMoE is a completely open-source language model that utilizes a mixture-of-experts approach, designed to operate fully on-device, which allows users to explore its capabilities in a secure and private environment. The primary goal of this application is to aid researchers in enhancing on-device intelligence while enabling developers to rapidly prototype innovative AI applications without relying on cloud services. As a highly efficient version within the Ai2 OLMo model family, OLMoE empowers users to engage with advanced local models in practical situations, explore strategies to improve smaller AI systems, and locally test their models using the provided open-source framework. Furthermore, OLMoE can be smoothly integrated into a variety of iOS applications, prioritizing user privacy and security by functioning entirely on-device. Users can easily share the results of their conversations with friends or colleagues, enjoying the benefits of a completely open-source model and application code. This makes Ai2 OLMoE an outstanding resource for personal experimentation and collaborative research, offering extensive opportunities for innovation and discovery in the field of artificial intelligence. By leveraging OLMoE, users can contribute to a growing ecosystem of on-device AI solutions that respect user privacy while facilitating cutting-edge advancements.

Media

Media

Integrations Supported

Integrations Supported

Molmo 2

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
iPhone
iPad

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Institute of Foundation Models

Date Founded

2025

Company Location

United States

Company Website

ifm.ai/blog/k2/

Company Facts

Organization Name

The Allen Institute for Artificial Intelligence

Date Founded

2014

Company Location

United States

Company Website

allenai.org

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

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