Xiaomi's MiMo-V2-Flash represents a breakthrough in efficient AI model design, featuring 309 billion total parameters with only 15 billion active during inference. This Mixture-of-Experts architecture delivers exceptional performance while maintaining reasonable hardware requirements for local deployment. In this comprehensive guide, we'll walk you through multiple methods to run MiMo-V2-Flash locally on your machine.

Running Kimi-K2-Instruct locally can seem daunting at first — but with the right tools and steps, it’s surprisingly straightforward. Whether you’re a developer looking to experiment with advanced AI models or someone who wants full control over inference without relying on cloud APIs, this guide will walk you through the entire process step-by-step.

Imagine having the power of a cutting-edge AI model like Llama 4 Maverick at your fingertips—locally, securely, and effortlessly. This 17-billion parameter behemoth, developed by Meta, is renowned for its exceptional performance in both text and image understanding. But, have you ever wondered how to harness this incredible potential for your own projects? In this comprehensive guide, we'll show you exactly how to set up and run Llama 4 Maverick locally, leveraging the versatility of AI in your own environment.

DeepSeek R1 is a powerful open-source AI model that stands out in the realm of language processing. Its ability to perform reasoning tasks akin to advanced human capabilities makes it an attractive choice for developers, researchers, and AI enthusiasts. Running DeepSeek R1 locally allows users to maintain control over their data while benefiting from lower latency. This guide will take you through the essential steps to set up and run DeepSeek R1 on your local machine, regardless of whether you're using Mac, Windows, or Linux.