Multimodal AI at the edge: Deploy vision language models with RamaLama

This article discusses RamaLama, an open-source CLI designed to simplify the deployment of vision language models (VLMs) on edge devices. It outlines the advantages of utilizing containerization to manage dependencies and ensure the security of AI model operations. The post provides a step-by-step guide on deploying a specific VLM (Qwen2.5VL-3B) using RamaLama, covering prerequisites, installation, serving models as APIs, and testing functionalities with images and videos.