Reading up on MLX

Hugging Face built a Claude Code Skill and test harness that helps contributors port language models from transformers to mlx-lm while preserving code quality and reviewer trust.

A guide for running Gemma 4 models locally on a Mac Mini via Ollama, with commenters reporting that the 26B variant is too slow and memory-intensive for daily use, while smaller quantizations suffice for light tool-calling tasks.

LLMFit is a terminal tool that scans system hardware and scores LLM models on fit, speed, and quality to recommend which can run locally.

An iPhone 16 Pro Max produces garbage output when running MLX LLMs due to a hardware defect in the Neural Engine, while an iPhone 15 Pro runs the same code correctly.

LM Studio 0.4 introduces a headless server daemon (llmster), parallel requests with continuous batching, a refreshed UI, and a new stateful REST API.

macOS 26.2 enables RDMA over Thunderbolt for clustering multiple Macs into fast AI inference nodes, prioritizing capacity over throughput.