Examples in the MLX framework. Contribute to ml-explore/mlx-examples development by creating an account on GitHub.
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
How Stable Diffusion works
Understand in a simple way how Stable Diffusion transforms a few words into a spectacular image.
The physics behind diffusion models
Awni Hannun on Twitter / X
The latest mlx-lm is out and it has continuous batching with mlx_lm.server! Added by @angeloskath Check-out the video of 4 simultaneous requests running with Qwen3 30B on the same M2 Ultra: https://t.co/o9sFC3k4DN— Awni Hannun (@awnihannun) December 3, 2025
Improving LM Studio's MLX Engine for Agentic Workflows
mlx-engine v1.8.5 dramatically improves performance for repeated, long-context agentic workflows by checkpointing your KV cache.
Unsloth AI on Twitter / X
Introducing Unsloth Desktop 🦥The first desktop app to run and train models locally.• Open-source. Runs on Mac, Windows and Linux• Supports MLX, diffusion image/video, audio, GGUF• Connect Claude Code and Codex to local LLMs• 50% more accurate, self-healing tool calls +… pic.twitter.com/vjTFB1e5IQ— Unsloth AI (@UnslothAI) August 11, 2026
Complete guide to samplers in Stable Diffusion
Dive into the world of Stable Diffusion samplers and unlock the potential of image generation.
GradientHQ/parallax
Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere
MLX India Community Meetup - Mumbai Edition · Luma
On device AI is where things get interesting and the people building with it are the ones shaping what comes next. About MLX India We're a community of 300+…
ml5 - A friendly machine learning library for the web.
ml5.js aims to make machine learning approachable for a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
Zhijian Liu on Twitter / X
🔥 DFlash x MLX is happening!Shoutout to @aryagm01 for the early work on this. We're building on the momentum. Native MLX support, more models (Qwen3.5), up to 4x faster. Lossless!👉 https://t.co/9CtLKDptNI pic.twitter.com/pMdaCH4oKi— Zhijian Liu (@zhijianliu_) April 15, 2026
Continuous diffusion language models
Fully discrete methods dominated for a few years, but language models based on continuous diffusion are making a comeback.
