Try Omarchy on Apple Silicon without any setup.
Geek Lite on Twitter / X
在 Apple Silicon Mac 上本地运行 LLM 推理服务，提供比 Ollama 和 llama.cpp 更快的 OpenAI 兼容 API，同时原生支持工具调用和提示缓存。https://t.co/IXet9GW7x0Rapid-MLX 用 Apple 自家的 MLX 框架做推理，搭了个 FastAPI 服务跑 OpenAI 兼容 API。在 Apple Silicon 上比 Ollama 快 2-4 倍，靠… pic.twitter.com/d9QUbAWJSZ— Geek Lite (@QingQ77) May 3, 2026
Apple Does Fusion.
For the first time in five generations of Apple Silicon, these chips are not a single piece of silicon. The newly announced M5 Pro and M5 Max use what Apple calls Fusion Architecture. This is a big…
Eduardo on Twitter / X
I built a version of Omarchy that runs on your MacBook.I wanted to try out Omarchy before doing a full install, but I only have an M series MacBook so I would have to find a laptop etc.So I decided to create something that allows people to test and run Omarchy on their… pic.twitter.com/VVEsBT9rEb— Eduardo (@martiano) August 25, 2026
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.
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.
ethicalabs-ai/BlossomTuneLLM-MLX
Federated Fine-Tuning of LLMs on Apple Silicon with Flower.ai and MLX-LM
AluminiumOS on Mac (MysticLeaks)
mzau/broke-cluster
A Poor Man's Apple Silicon LLM Cluster — tuned for MLX, scalable without shame.
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
Max Weinbach on Twitter / X
On-device Apple model (available to developers) can use skills and tool calls— Max Weinbach (@mweinbach) June 8, 2026
Doriandarko/MLX-GRPO
A pure MLX-based training pipeline for fine-tuning LLMs using GRPO on Apple Silicon.
Optimizing On-Device Inference for Apple Silicon
A custom local engine that improves prefill and decode throughput
GRID® APPLE A SERIES MOBILE PROCESSORS (V2)
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