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MLX

Quickstart | Installation | Documentation | Examples

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MLX is an array framework for machine learning on Apple silicon, brought to you by Apple machine learning research.

Some key features of MLX include:

  • Familiar APIs: MLX has a Python API that closely follows NumPy. MLX also has fully featured C++, C, and Swift APIs, which closely mirror the Python API. MLX has higher-level packages like mlx.nn and mlx.optimizers with APIs that closely follow PyTorch to simplify building more complex models.

  • Composable function transformations: MLX supports composable function transformations for automatic differentiation, automatic vectorization, and computation graph optimization.

  • Lazy computation: Computations in MLX are lazy. Arrays are only materialized when needed.

  • Dynamic graph construction: Computation graphs in MLX are constructed dynamically. Changing the shapes of function arguments does not trigger slow compilations, and debugging is simple and intuitive.

  • Multi-device: Operations can run on any of the supported devices (currently the CPU and the GPU).

  • Unified memory: A notable difference from MLX and other frameworks is the unified memory model. Arrays in MLX live in shared memory. Operations on MLX arrays can be performed on any of the supported device types without transferring data.

MLX is designed by machine learning researchers for machine learning researchers. The framework is intended to be user-friendly, but still efficient to train and deploy models. The design of the framework itself is also conceptually simple. We intend to make it easy for researchers to extend and improve MLX with the goal of quickly exploring new ideas.

The design of MLX is inspired by frameworks like NumPy, PyTorch, Jax, and ArrayFire.

Examples

The MLX examples repo has a variety of examples, including:

Quickstart

See the quick start guide in the documentation.

Installation

MLX is available on PyPI. To install MLX on macOS, run:

pip install mlx

To install the CUDA backend on Linux, run:

pip install mlx[cuda]

To install a CPU-only Linux package, run:

pip install mlx[cpu]

Checkout the documentation for more information on building the C++ and Python APIs from source.

Contributing

Check 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 and wish to be acknowledged, please add your name to the list in your pull request.

Citing MLX

The MLX software suite was initially developed with equal contribution by Awni Hannun, Jagrit Digani, Angelos Katharopoulos, and Ronan Collobert. If you find MLX useful in your research and wish to cite it, please use the following BibTex entry:

@software{mlx2023,
  author = {Awni Hannun and Jagrit Digani and Angelos Katharopoulos and Ronan Collobert},
  title = {{MLX}: Efficient and flexible machine learning on Apple silicon},
  url = {https://github.com/ml-explore},
  version = {0.0},
  year = {2023},
}

Metadata

Release files for mlx 0.32.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for mlx 0.32.3
File
mlx-0.32.3-cp314-cp314t-win_arm64.whl CPython 3.14 CPython 3.14 free-threading Windows ARM64 Details
mlx-0.32.3-cp314-cp314t-win_amd64.whl CPython 3.14 CPython 3.14 free-threading Windows x86-64 Details
mlx-0.32.3-cp314-cp314t-manylinux_2_35_x86_64.whl CPython 3.14 CPython 3.14 free-threading Linux glibc 2.35+ x86-64 Details
mlx-0.32.3-cp314-cp314t-manylinux_2_35_aarch64.whl CPython 3.14 CPython 3.14 free-threading Linux glibc 2.35+ ARM64 Details
mlx-0.32.3-cp314-cp314t-macosx_26_0_arm64.whl CPython 3.14 CPython 3.14 free-threading macOS 26.0+ ARM64 Details
mlx-0.32.3-cp314-cp314t-macosx_15_0_arm64.whl CPython 3.14 CPython 3.14 free-threading macOS 15.0+ ARM64 Details
mlx-0.32.3-cp314-cp314t-macosx_14_0_arm64.whl CPython 3.14 CPython 3.14 free-threading macOS 14.0+ ARM64 Details
mlx-0.32.3-cp314-cp314-win_arm64.whl CPython 3.14 CPython 3.14 Windows ARM64 Details
mlx-0.32.3-cp314-cp314-win_amd64.whl CPython 3.14 CPython 3.14 Windows x86-64 Details
mlx-0.32.3-cp314-cp314-manylinux_2_35_x86_64.whl CPython 3.14 CPython 3.14 Linux glibc 2.35+ x86-64 Details
mlx-0.32.3-cp314-cp314-manylinux_2_35_aarch64.whl CPython 3.14 CPython 3.14 Linux glibc 2.35+ ARM64 Details
mlx-0.32.3-cp314-cp314-macosx_26_0_arm64.whl CPython 3.14 CPython 3.14 macOS 26.0+ ARM64 Details
mlx-0.32.3-cp314-cp314-macosx_15_0_arm64.whl CPython 3.14 CPython 3.14 macOS 15.0+ ARM64 Details
mlx-0.32.3-cp314-cp314-macosx_14_0_arm64.whl CPython 3.14 CPython 3.14 macOS 14.0+ ARM64 Details
mlx-0.32.3-cp313-cp313t-win_arm64.whl CPython 3.13 CPython 3.13 free-threading Windows ARM64 Details
mlx-0.32.3-cp313-cp313t-win_amd64.whl CPython 3.13 CPython 3.13 free-threading Windows x86-64 Details
mlx-0.32.3-cp313-cp313t-manylinux_2_35_x86_64.whl CPython 3.13 CPython 3.13 free-threading Linux glibc 2.35+ x86-64 Details
mlx-0.32.3-cp313-cp313t-manylinux_2_35_aarch64.whl CPython 3.13 CPython 3.13 free-threading Linux glibc 2.35+ ARM64 Details
mlx-0.32.3-cp313-cp313t-macosx_26_0_arm64.whl CPython 3.13 CPython 3.13 free-threading macOS 26.0+ ARM64 Details
mlx-0.32.3-cp313-cp313t-macosx_15_0_arm64.whl CPython 3.13 CPython 3.13 free-threading macOS 15.0+ ARM64 Details
mlx-0.32.3-cp313-cp313t-macosx_14_0_arm64.whl CPython 3.13 CPython 3.13 free-threading macOS 14.0+ ARM64 Details
mlx-0.32.3-cp313-cp313-win_arm64.whl CPython 3.13 CPython 3.13 Windows ARM64 Details
mlx-0.32.3-cp313-cp313-win_amd64.whl CPython 3.13 CPython 3.13 Windows x86-64 Details
mlx-0.32.3-cp313-cp313-manylinux_2_35_x86_64.whl CPython 3.13 CPython 3.13 Linux glibc 2.35+ x86-64 Details
mlx-0.32.3-cp313-cp313-manylinux_2_35_aarch64.whl CPython 3.13 CPython 3.13 Linux glibc 2.35+ ARM64 Details
mlx-0.32.3-cp313-cp313-macosx_26_0_arm64.whl CPython 3.13 CPython 3.13 macOS 26.0+ ARM64 Details
mlx-0.32.3-cp313-cp313-macosx_15_0_arm64.whl CPython 3.13 CPython 3.13 macOS 15.0+ ARM64 Details
mlx-0.32.3-cp313-cp313-macosx_14_0_arm64.whl CPython 3.13 CPython 3.13 macOS 14.0+ ARM64 Details
mlx-0.32.3-cp312-cp312-win_arm64.whl CPython 3.12 CPython 3.12 Windows ARM64 Details
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mlx-0.32.3-cp312-cp312-manylinux_2_35_x86_64.whl CPython 3.12 CPython 3.12 Linux glibc 2.35+ x86-64 Details
mlx-0.32.3-cp312-cp312-manylinux_2_35_aarch64.whl CPython 3.12 CPython 3.12 Linux glibc 2.35+ ARM64 Details
mlx-0.32.3-cp312-cp312-macosx_26_0_arm64.whl CPython 3.12 CPython 3.12 macOS 26.0+ ARM64 Details
mlx-0.32.3-cp312-cp312-macosx_15_0_arm64.whl CPython 3.12 CPython 3.12 macOS 15.0+ ARM64 Details
mlx-0.32.3-cp312-cp312-macosx_14_0_arm64.whl CPython 3.12 CPython 3.12 macOS 14.0+ ARM64 Details
mlx-0.32.3-cp311-cp311-win_arm64.whl CPython 3.11 CPython 3.11 Windows ARM64 Details
mlx-0.32.3-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
mlx-0.32.3-cp311-cp311-manylinux_2_35_x86_64.whl CPython 3.11 CPython 3.11 Linux glibc 2.35+ x86-64 Details
mlx-0.32.3-cp311-cp311-manylinux_2_35_aarch64.whl CPython 3.11 CPython 3.11 Linux glibc 2.35+ ARM64 Details
mlx-0.32.3-cp311-cp311-macosx_26_0_arm64.whl CPython 3.11 CPython 3.11 macOS 26.0+ ARM64 Details
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mlx-0.32.3-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
mlx-0.32.3-cp310-cp310-manylinux_2_35_x86_64.whl CPython 3.10 CPython 3.10 Linux glibc 2.35+ x86-64 Details
mlx-0.32.3-cp310-cp310-manylinux_2_35_aarch64.whl CPython 3.10 CPython 3.10 Linux glibc 2.35+ ARM64 Details
mlx-0.32.3-cp310-cp310-macosx_26_0_arm64.whl CPython 3.10 CPython 3.10 macOS 26.0+ ARM64 Details
mlx-0.32.3-cp310-cp310-macosx_15_0_arm64.whl CPython 3.10 CPython 3.10 macOS 15.0+ ARM64 Details
mlx-0.32.3-cp310-cp310-macosx_14_0_arm64.whl CPython 3.10 CPython 3.10 macOS 14.0+ ARM64 Details

Total release size: 32.2 MB

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Release history Release notifications | RSS feed

This release

0.32.3 This release

48 release files

0.8.1

10 release files

0.7.0

10 release files

0.4.0

10 release files

0.3.0

10 release files

0.0.9

10 release files

0.0.6

10 release files

0.0.5

10 release files

0.0.3

8 release files

0.0.2

8 release files

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