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Qualcomm Technologies, Inc.

At Qualcomm Technologies, Inc., we transform how the world connects, computes and communicates.

At Qualcomm Technologies, Inc., we transform how the world connects, computes and communicates. We are on a journey to embrace open source, its upstream contribution model and industry standards to make it easy for developers to innovate, build and scale.

Featured on-device AI projects

  • AI Model Efficiency Toolkit (AIMET): Advanced quantization and compression techniques to optimize trained neural networks for efficient inference
  • GenieX SDK: A high‑performance on-device inference framework that runs the latest multimodal models locally on NPU/GPU/CPU across common platforms
  • Qualcomm® AI Hub Models: A collection of deployment-ready ML models optimized for on-device performance and ready to run on Qualcomm devices

Explore our organizations and projects

Join our Discord community to directly engage with Qualcomm experts, connect with other developers working with Qualcomm technology, and stay updated on the latest developer-focused news and product demos: discord.com/invite/QualcommDeveloperNetwork

Read our Open Source Security Policy to learn how we handle vulnerability reporting, assessment, remediation, and disclosure across our open source projects.

Qualcomm branded products are products of Qualcomm Technologies, Inc. and/or its subsidiaries. AIMET and AudioReach are products of Qualcomm Innovation Center, Inc.

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  1. GenieX GenieX Public

    Run frontier LLMs and VLMs locally on Qualcomm devices across NPU, GPU, and CPU with a few lines of code

    Go 8.5k 1.1k

  2. aimet aimet Public

    AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

    Python 2.7k 479

  3. ai-hub-models ai-hub-models Public

    Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

    Python 1.3k 220

  4. ai-hub-apps ai-hub-apps Public

    The Qualcomm® AI Hub apps are a collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

    Python 482 132

  5. eld eld Public

    Embedded Linker (eld)

    C++ 264 91

  6. qai-appbuilder qai-appbuilder Public

    QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime SDK APIs into a set of simplified interfaces for running mod…

    Python 256 57

Repositories

Showing 10 of 166 repositories
  • qualcomm/cpullvm-toolchain's past year of commit activity
    LLVM 23 36 7 39 Updated Nov 14, 2026
  • llama.cpp Public Forked from ggml-org/llama.cpp

    LLM inference in C/C++

    qualcomm/llama.cpp's past year of commit activity
    C++ 16 MIT 26,169 0 0 Updated Nov 14, 2026
  • eld Public

    Embedded Linker (eld)

    qualcomm/eld's past year of commit activity
    C++ 264 BSD-3-Clause 91 301 (11 issues need help) 117 Updated Nov 14, 2026
  • ripple Public Forked from llvm/llvm-project

    The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.

    qualcomm/ripple's past year of commit activity
    LLVM 4 19,962 0 0 Updated Nov 14, 2026
  • qai-appbuilder Public

    QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime SDK APIs into a set of simplified interfaces for running models on the NPU/HTP.

    qualcomm/qai-appbuilder's past year of commit activity
    Python 256 57 6 1 Updated Nov 14, 2026
  • efficient-transformers Public

    This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transformers library) into inference-ready formats that run efficiently on Qualcomm Cloud AIxx (AI100, AI200 and so on) accelerators.

    qualcomm/efficient-transformers's past year of commit activity
    Python 102 117 6 69 Updated Nov 14, 2026
  • Startup-Demos Public

    Sample applications that run on QC-based devices

    qualcomm/Startup-Demos's past year of commit activity
    Python 11 MIT 20 0 28 Updated Nov 14, 2026
  • ai-hub-models Public

    Qualcomm® AI Hub Models is our collection of state-of-the-art machine learning models optimized for performance (latency, memory etc.) and ready to deploy on Qualcomm® devices.

    qualcomm/ai-hub-models's past year of commit activity
    Python 1,262 BSD-3-Clause 220 11 2 Updated Nov 14, 2026
  • aimet Public

    AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

    qualcomm/aimet's past year of commit activity
    Python 2,749 479 30 11 Updated Nov 14, 2026
  • camera-service Public

    Camera Service : It provides a camera service that loads the CamX libraries to interact with the camera hardware module. Additionally, it offers client APIs for communication with the service. Applications such as GStreamer-based apps can use these client APIs to access the camera feed and build end-user solutions.

    qualcomm/camera-service's past year of commit activity
    C++ 7 BSD-3-Clause-Clear 16 0 7 Updated Nov 14, 2026