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@qualcomm

Qualcomm Technologies, Inc.

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

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 470

  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 1.2k 214

  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 469 126

  5. eld eld Public

    Embedded Linker (eld)

    C++ 261 86

  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 252 57

Repositories

Showing 10 of 165 repositories
  • cpullvm-toolchain Public
    qualcomm/cpullvm-toolchain's past year of commit activity
    LLVM 23 36 7 34 Updated Oct 23, 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 25,280 0 1 Updated Oct 23, 2026
  • eld Public

    Embedded Linker (eld)

    qualcomm/eld's past year of commit activity
    C++ 261 BSD-3-Clause 86 284 (12 issues need help) 111 Updated Oct 23, 2026
  • qcom-embedded-power-measurement Public

    Enables power measurement features that are available through debug board with PSOC chipset

    qualcomm/qcom-embedded-power-measurement's past year of commit activity
    C++ 6 BSD-3-Clause-Clear 4 0 0 Updated Oct 23, 2026
  • qcom-test-automation-controller Public

    Perform power off, power on, EDL, UEFI and more on Qualcomm devices remotely using debug board

    qualcomm/qcom-test-automation-controller's past year of commit activity
    C++ 9 BSD-3-Clause-Clear 16 0 6 Updated Oct 23, 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 2,733 470 27 10 Updated Oct 23, 2026
  • qemu Public Forked from qemu/qemu

    Official QEMU mirror. Please see http://wiki.qemu.org/Contribute/SubmitAPatch for how to submit changes to QEMU. Pull Requests are ignored. Please only use release tarballs from the QEMU website.

    qualcomm/qemu's past year of commit activity
    C 32 7,519 0 14 Updated Oct 23, 2026
  • aic-operator Public
    qualcomm/aic-operator's past year of commit activity
    Go 2 3 0 1 Updated Oct 23, 2026
  • GenieX Public

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

    qualcomm/GenieX's past year of commit activity
    Go 8,455 BSD-3-Clause 1,069 45 26 Updated Oct 23, 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 102 112 6 60 Updated Oct 23, 2026
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