{"repo":"qualcomm/GenieX","free":true,"listed":false,"github":"https://github.com/qualcomm/GenieX","clone":"git clone https://github.com/qualcomm/GenieX.git","description":"Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code","language":"Rust","stars":8301,"topics":["llm","on-device-ai","sdk","vlm","go","gpt-oss","llama3","qwen3","granite4","qwen3vl"],"license":"BSD-3-Clause","category":"ai-agents","readme_excerpt":"The easiest way to run frontier LLMs & VLMs locally on Qualcomm devices Documentation · Quickstart · Models · Community --- GenieX is an on-device Gen AI inference runtime for Qualcomm devices . Bring almost any GGUF model from Hugging Face — or a pre-compiled bundle from Qualcomm AI Hub — and run it locally on the Hexagon NPU, Adreno GPU, or CPU in a few lines of code. One C SDK underneath, exposed through a CLI, Python, Kotlin/Java, Docker, and an OpenAI-compatible server. It is the community version of Qualcomm GENIE. Supported platforms GenieX runs only on Qualcomm Snapdragon . Find your platform, then jump straight to the interface you want to use. Platform Example devices Jump to a quickstart --- --- --- 🪟 Windows ARM64 (Compute) Snapdragon X · X Elite CLI · Python · Local server 🤖 Android (Mobile) Snapdragon 8 Elite · 8 Elite Gen 5 Android SDK 🐧 Linux ARM64 (IoT) Dragonwing QCS9075 CLI · Docker · Python No device on hand? Spin up a remote session on Qualcomm Device Cloud. --- Quickstart Pick your interface below. Each one follows the same three steps — Install , Run , and Docs — and shows both runtimes: a GGUF model from Hugging Face ( llama cpp ) and a pre-compiled bundle from Qualcomm AI Hub ( qairt , NPU). CLI Install - Windows ARM64 — download the installer, run it, then open a new terminal. - Linux ARM64 — one line, no sudo : Run — chat with any model in one line (drag in an image for VLMs): 📖 Docs — Install · Quickstart · Command reference Python Install Run ","default_branch":null,"files":null,"tree":[],"storefront":"/r/qualcomm","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/qualcomm/GenieX/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}