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Qwen 3.6 27B achieves 34 tokens/sec on a MacBook Pro M5 Max 64GB locally with 90% draft acceptance, enabled by TurboQuant, GGUF, and llama.cpp, showcasing a major advancement in laptop-based AI inference.
Daniel Farinax demonstrates running Qwen3.6-27B on a MacBook Pro M5 128GB, using a custom Rust CLI (MPTLX) to build a low-poly GTA game overnight, claiming blazing fast performance comparable to Claude 4.6 running locally.
antirez announces receiving an M5 Max 128GB MacBook Pro from audreyt to develop DwarfStar4 and experiment with distributed inference across M3 Max and M5 Max hardware.
The article analyzes the viability of running AI inference locally on a MacBook Pro, comparing a local Qwen 35B model against the cloud-based Claude Opus 4.5. It concludes that local models are 2x faster for routine tasks, making them a practical choice for half of daily workloads despite a slight capability gap.
The author shares their experience running the Qwen3.6 model on a MacBook Pro with 128GB of unified memory, praising Apple's hardware efficiency for local AI inference.
This article reports on tests of the DS4 inference engine written in C by @antirez, noting its impressive speed when running a GPT-4o-equivalent model on a MacBook Pro with 128GB of RAM.