ml-explore/mlx-swift

ml-explore/mlx-swift-lm

LLMs and VLMs with MLX Swift

ml-explore/mlx-lm

Run LLMs with MLX

mlx-examples/stable_diffusion at main · ml-explore/mlx-examples

Examples in the MLX framework. Contribute to ml-explore/mlx-examples development by creating an account on GitHub.

Swift.org

Swift is a general-purpose programming language built using a modern approach to safety, performance, and software design patterns.

Release v0.29.0 · ml-explore/mlx

Highlights Support for mxfp4 quantization (Metal, CPU) More performance improvements, bug fixes, features in CUDA backend mx.distributed supports NCCL back-end for CUDA What's Changed [CUDA]...

huggingface/ml-intern

🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models

GeminiKit - Swift SDK for Google Gemini AI

Build AI-powered Swift apps with GeminiKit. Native support for all Apple platforms and Linux.

Ollama is now powered by MLX on Apple Silicon in preview· Ollama Blog

Today, we're previewing the fastest way to run Ollama on Apple silicon, powered by MLX, Apple's machine learning framework.

Ivan Fioravanti ᯅ on Twitter / X

"We are releasing Open Source implementations for CoreAILanguageModel and MLXLanguageModel for running a myriad of local models on the Apple Neural Engine or your Mac's GPU" 👀 From #WWDC26: What’s new in the Foundation Models framework video: https://t.co/1NtKWYhNRs pic.twitter.com/HVtBsr3tjL— Ivan Fioravanti ᯅ (@ivanfioravanti) June 9, 2026

Rohan Paul on Twitter / X

👨‍🔧 Github: Native, Apple Silicon–only local LLM server. Similar to Ollama, but built on Apple's MLX- OpenAI API compatible, - Ollama‑compatible- OpenAI‑style tools + tool_choice, with tool_calls parsing and streaming deltasgithub. com/dinoki-ai/osaurus pic.twitter.com/G0NbWnEJcQ— Rohan Paul (@rohanpaul_ai) September 3, 2025

Mlem - A Beautiful iOS Client for Lemmy

Mlem is a beautiful, intuitive open source iOS client for Lemmy that lets you effortlessly participate in conversations across all Lemmy servers.

Cheng on Twitter / X

We have been expecting this since ollama's first pull request to MLX. It is just the beginning, CUDA & CPU backends are still improving and hopefully we will have one framework unifying inference & training for all platforms. https://t.co/EaBmEaNJhZ— Cheng (@zcbenz) March 31, 2026

0xSero/reap-mlx

REAP expert pruning for MoE LLMs on Apple Silicon via MLX

Announcing the Swift SDK for Android

Swift has matured significantly over the past decade — extending from cloud services to Windows applications, browser apps, and microcontrollers. Swift powers apps and services of all kinds, and thanks to its great interoperability, you can share code across platforms.

Exploring LLMs with MLX and the Neural Accelerators in the M5 GPU

Mac with Apple silicon is increasingly popular among AI developers and researchers interested in using their Mac to experiment with the…