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c305fa5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 | # 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](https://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?"
```
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