<ul><li>MiMo-VL-7B by Xiaomi is a compact but powerful VLM model excelling in multi-modal reasoning.</li><li>It features a native-resolution ViT encoder, efficient MLP projector, and a language model optimized for complex reasoning.</li><li>The two-phase training pipeline involves pretraining and Mixed On-policy Reinforcement Learning (MORL).</li><li>MiMo-VL-7B demonstrates top-tier performance in general understanding, GUI tasks, and multi-modal reasoning.</li><li>The article provides steps to install MiMo-VL-7B locally or on a GPU VM effortlessly.</li><li>Prerequisites include 1x RTXA4090 or RTXA6000 GPU, 20GB storage, and Anaconda installed.</li><li>Setting up a NodeShift account, creating a GPU node, and selecting configurations are part of the installation process.</li><li>Creating a virtual environment using Anaconda and installing necessary dependencies are essential steps.</li><li>Connecting to the GPU VM, setting up the project environment, and running the model are detailed in the guide.</li><li>MiMo-VL-7B offers fine-grained visual encoding, efficient alignment, and reasoning capabilities making it ideal for multi-modal tasks.</li></ul>

How to Install and Run Xiaomi MiMo-VL Locally

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