Installation | Documentation | Examples
MLX Swift is a Swift API for MLX.
MLX is an array framework for machine learning on Apple silicon. MLX Swift expands MLX to the Swift language, making research and experimentation easier on Apple silicon.
MLX Swift has many examples, including:
-
MNISTTrainer: An example that runs on both iOS and macOS that downloads MNIST training data and trains a LeNet.
-
MLXChatExample: An example chat app that runs on both iOS and macOS that supports LLMs and VLMs.
-
LLMEval: A simple example that runs on both iOS and macOS that downloads an LLM and tokenizer from Hugging Face and generates text from a given prompt.
-
StableDiffusionExample: An example that runs on both iOS and macOS that downloads a stable diffusion model from Hugging Face and generates an image from a given prompt.
-
llm-tool: A command line tool for generating text using a variety of LLMs available on the Hugging Face hub.
The MLX Swift Examples repo contains the complete code and documentation for these examples, including guidelines on porting models from MLX Python.
The MLX Swift package can be built and run from Xcode or SwiftPM. A CMake install is also provided.
More details are in the documentation.
In Xcode you can add https://github.com/ml-explore/mlx-swift.git as a package
dependency and link MLX, MLXNN, MLXOptimizers and MLXRandom as needed.
To use MLX with SwiftPM you can add this to your Package.swift:
dependencies: [
.package(url: "https://github.com/ml-explore/mlx-swift", from: "0.10.0")
]and add the libraries as dependencies:
dependencies: [.product(name: "MLX", package: "mlx-swift"),
.product(name: "MLXNN", package: "mlx-swift"),
.product(name: "MLXOptimizers", package: "mlx-swift")]Note
SwiftPM (command line) cannot build the Metal shaders so the ultimate build has to be done via Xcode.
Although SwiftPM (command line) cannot build the Metal shaders, xcodebuild can and
it can be used to do command line builds:
# build and run tests
xcodebuild test -scheme mlx-swift-Package -destination 'platform=OS X'
# build Tutorial
xcodebuild build -scheme Tutorial -destination 'platform=OS X'
Building with CMake requires both CMake and Ninja to be installed. You can do this with Homebrew:
brew install cmake
brew install ninjaWith CMake:
mkdir build
cd build
cmake .. -G Ninja
ninja
./exampleCheck out the contribution guidelines for more information on contributing to MLX. See the docs for more information on building from source, and running tests.
We are grateful for all of our contributors. If you contribute to MLX Swift and wish to be acknowledged, please add your name to the list in your pull request.
MLX Swift was initially developed by David Koski and Ronan Collobert, and is now maintained by David Koski. MLX Swift is built on top of MLX, which was initially developed with equal contribution by Awni Hannun, Jagrit Digani, Angelos Katharopoulos, and Ronan Collobert.
See Releases. Generally the MLX Swift version number corresponds to the same version number in MLX. Release notes indicate specifics.
All capabilities in MLX (Python) should be available in MLX Swift. If you encounter any that are missing please file an issue or feel free to submit a PR.