GitHub - mzau/broke-cluster: A Poor Man's Apple Silicon LLM Cluster — tuned for MLX, scalable without shame.

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…

0xSero/reap-mlx

REAP expert pruning for MoE LLMs on Apple Silicon via MLX

Alex Cheema on Twitter / X

It’s kind of crazy but the shitstorm of supply chain issues has created a new best-in-class local AI deployment: M5 Max MacBook clusters.- The memory unit economics are great - each MacBook has 128GB @ 614GB/s for $5k- M5 Max added tensor cores (Apple Neural Accelerators) with… https://t.co/f8STQ0tLZs pic.twitter.com/FLm3oOnyEl— Alex Cheema (@alexocheema) May 14, 2026

Run LLMs locally on your Mac · mlx-optiq

Quantize, fine-tune and serve LLMs locally on Apple Silicon. MLX-native, no PyTorch, no cloud. On PyPI.

Doriandarko/MLX-GRPO

A pure MLX-based training pipeline for fine-tuning LLMs using GRPO on Apple Silicon.

ModelScope on Twitter / X

🤯 400 Token/S on a MacBook? Yes, you read that right!Shaohong Chen just fine-tuned the Qwen3-0.6B LLM in under 2 minutes using Apple's MLX framework. This is how you turn your MacBook into a serious LLM development rig. A step-by-step guide and performance metrics inside! 🧵… pic.twitter.com/31Cmycy8Mh— ModelScope (@ModelScope2022) October 13, 2025

ethicalabs-ai/BlossomTuneLLM-MLX

Federated Fine-Tuning of LLMs on Apple Silicon with Flower.ai and MLX-LM

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

apple-silicon-llm-bench/results/complete_results.html at main · AlexHiesch/apple-silicon-llm-bench

Systematic LLM inference benchmark for Apple Silicon: 8 backends, 7 models, 791 measurements - AlexHiesch/apple-silicon-llm-bench

ARahim3/mlx-tune

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

ARahim3/mlx-tune

Fine-tune LLMs on your Mac with Apple Silicon. SFT, DPO, GRPO, Vision, TTS, STT, Embedding, and OCR fine-tuning — natively on MLX. Unsloth-compatible API.

omlx/docs/experimental/dflash_mlx_integration.md at main · jundot/omlx

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar - jundot/omlx

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.

ml-explore/mlx-lm

Run LLMs with MLX

jundot/omlx

LLM inference server with continuous batching & SSD caching for Apple Silicon — managed from the macOS menu bar