1-bit Quantization Magic: Kimi K3 Successfully Runs Locally on Mac Studio
danielhanchen · x · 2026-07-30
UnslothAI announced the successful local execution of the 1-bit Kimi K3 model. Using quantization, the model size was significantly reduced from 1.56TB to 594GB (a 62% decrease) while retaining approximately 78.9% of its original accuracy.
The quantized model can now run smoothly on a Mac Studio equipped with 128GB of RAM. In multi-GPU deployments (e.g., 4x B200s), it achieves a generation speed of 36 tokens/s. Official deployment guides and GGUF weights have been released.
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