Running Kimi K3 on a M1 Mac
This technical guide explains how to run the Kimi K3 large language model on an Apple M1 Mac using a research project called Deltafin. It details the hardware requirements and software commands needed to manage the model's massive parameter size through local storage or streaming.
____ _ _ __ _ | _ \ ___| | |_ __ _ / _(_)_ __ | | | |/ _ \ | __/ _` | |_| | '_ \ | |_| | __/ | || (_| | _| | | | | |____/ \___|_|\__\__,_|_| |_|_| |_| An experiment in running Kimi K3 (2.8T parameters) on one Apple Silicon Mac Deltafin is a small research project that runs a Mixture-of-Experts model far larger than the machine it sits on. It is not fast — about 16 seconds per token on our M1 Max — but it is exact, reproducible, and it works on a 64 GB laptop. Newer chips and more RAM make it faster automatically.
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