Pipe Network publishes a 350GB Kimi K3 build for 512GB Mac Studios
The pruned MLX model fits in unified memory, but Pipe reports 0.20 tokens per second and warns that quality degrades.
By Ryan Merket · Published
Primary source: Pipe Network on X
Why it matters
Pipe made a 1.56TB frontier model loadable on one high-memory Mac, exposing the harder constraint behind open weights: usable local inference still demands severe compromises.
David Rhodus (@DavidRhodus) and Pipe Network have published an Apple MLX port that cuts Moonshot AI's 2.8 trillion-parameter Kimi K3 from roughly 1.56TB on disk to as little as 350GB, allowing a heavily pruned version of the model to load on a Mac Studio with 512GB of unified memory.…
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