qualcomm/GenieX
Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code observed · 2026-08-28
Health v2 · maintenance only
85/100
- Activity 99
- Release rhythm 86
- Longevity 53
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 747
- days_rel: 12
- days_push: 7
- n_releases_24m: 64
Adoption not part of the score
8326 stars · 1049 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
GenieX is an on-device generative AI inference runtime for Qualcomm Snapdragon devices, running frontier LLMs and VLMs on the Hexagon NPU, Adreno GPU, or CPU. It exposes a single C SDK through a CLI, Python and Kotlin/Java SDKs, Docker, and an OpenAI-compatible server, dispatching to llama.cpp (GGUF) or Qualcomm AI Engine Direct runtimes.
Use cases
- run llama 3 or qwen3 locally on a snapdragon laptop npu
- run gguf models from hugging face on hexagon npu
- embed on-device llm inference in an android app
- serve an openai-compatible local llm api on windows arm64
- deploy vision-language models on qualcomm dragonwing iot devices
- run llms offline on-device without cloud
- benchmark npu vs gpu vs cpu inference on snapdragon
When to choose
- you target Qualcomm Snapdragon hardware (Snapdragon X, 8 Elite, Dragonwing) and want NPU-accelerated local LLM/VLM inference
- you want to run GGUF models from Hugging Face with minimal setup
- you need an OpenAI-compatible local server or mobile (Kotlin) SDK for on-device AI
- you want pre-compiled, chipset-optimized models from Qualcomm AI Hub
When to avoid
- you run on non-Qualcomm hardware (Intel, AMD, Apple Silicon) - GenieX only works on Snapdragon
- you need server-scale multi-GPU inference or high-concurrency production serving
- you need non-GGUF model formats without a pre-compiled AI Hub bundle
- you require a fully stable release - it is currently in developer preview
Facets
library · maturity active
llm-inference sdk cli http-server machine-learning large-language-models artificial-intelligence machine-learning developer-tools mobile-development iot windows python cli on-device-ai qualcomm snapdragon hexagon-npu gguf llama-cpp openai-compatible vlm edge-ai rust android linux docker arm64
4 sources
- readme: https://github.com/qualcomm/GenieX · fetched 2026-08-28 · 42bf9c35f07c
- homepage: https://geniex.aihub.qualcomm.com/en/get-started/what-is-geniex · fetched 2026-08-29 · 27b1826e38e7
- site_page: https://geniex.aihub.qualcomm.com/en/get-started/quickstart · fetched 2026-08-29 · aa50bb96cdd3
- site_page: https://geniex.aihub.qualcomm.com/en/resources/faq · fetched 2026-08-29 · 926c74f36986
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| qualcomm/GenieX | main | 85 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem