qualcomm

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

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

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.

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.

Hexagon-MLIR is a compiler toolchain for compiling and executing AI kernels and models on Qualcomm Hexagon Neural Processing Units (NPUs).

Embedded Linker (eld)

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...

Debugger-based crash triage tool

FastRPC is Qualcomm's userspace library that facilitates efficient remote procedure calls between the CPU and DSP for high-performance computing.

Qbox

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...

Qualcomm Cloud AI SDK (Platform and Apps) enable high performance deep learning inference on Qualcomm Cloud AI platforms delivering high throughput and low latency across Computer Vision, Object...

Device flashing utility and library

Qualcomm kernel drivers provide logical representations of Qualcomm chipset-enabled mobile devices over USB connections. This repository includes source code, build scripts, and documentation for...

The plugins of crash-utility

PatchWise automates patch review and static analysis for the Linux kernel, streamlining upstream contributions and ensuring code quality.