Snapdragon-based Linux devices
Docker Setup
The easiest way to build llama.cpp for a Snapdragon-based Linux device is using the toolchain Docker image (see github.com/snapdragon-toolchain). This image includes OpenCL SDK, Hexagon SDK, CMake, and the ARM64 Linux cross-compilation toolchain.
Cross-compilation is supported on Linux X86 hosts. The resulting binaries are deployed to and run on the target Qualcomm Snapdragon ARM64 Linux device.
~/src/llama.cpp$ docker run -it -u $(id -u):$(id -g) --volume $(pwd):/workspace --platform linux/amd64 ghcr.io/snapdragon-toolchain/arm64-linux:v0.1
[d]/> cd /workspace
Note: The rest of the Linux build process assumes that you're running inside the toolchain container.
How to Build
Let's build llama.cpp with CPU, OpenCL, and Hexagon backends via CMake presets:
[d]/workspace> cp docs/backend/snapdragon/CMakeUserPresets.json .
[d]/workspace> cmake --preset arm64-linux-snapdragon-release -B build-snapdragon
[d]/workspace> cmake --build build-snapdragon -j $(nproc)
To generate an installable "package" simply use cmake --install, then zip it:
[d]/workspace> cmake --install build-snapdragon --prefix pkg-snapdragon
[d]/workspace> zip -r pkg-snapdragon.zip pkg-snapdragon
How to Install
For this step, you will deploy the built binaries and libraries to the target Linux device. Transfer pkg-snapdragon.zip to the target device, then unzip it and set up the environment variables:
$ unzip pkg-snapdragon.zip
$ cd pkg-snapdragon
$ export LD_LIBRARY_PATH=./lib
$ export ADSP_LIBRARY_PATH=./lib
At this point, you should also download some models onto the device:
$ wget https://huggingface.co/bartowski/Llama-3.2-3B-Instruct-GGUF/resolve/main/Llama-3.2-3B-Instruct-Q4_0.gguf
How to Run
Next, since we have setup the environment variables, we can run the llama-cli with the Hexagon backends:
$ ./bin/llama-cli -m Llama-3.2-3B-Instruct-Q4_0.gguf --device HTP0 -ngl 99 -p "what is the most popular cookie in the world?"