Model Anatomy See what's inside open-weight AI models

Can I run Kimi-K3-DSpark on a Mac with 24 GB?

Yes

Its published weights (4.50 GB) fit in the 16.0 GB a Mac with 24 GB can use, with room for ≈ 548K tokens of context.

Full analysis of Kimi-K3-DSpark Everything that runs on Mac with 24 GB Get the weights on Hugging Face
hf download RadixArk/Kimi-K3-DSpark

Files and context on Mac with 24 GB

Each file of Kimi-K3-DSpark (and of GGUF versions the site has analyzed), and how much context fits next to it, with the context cache in 16-bit or 8-bit.

FileSizeOn Mac with 24 GB Context (16-bit)Context (8-bit)
As published4.50 GBFits548K1M
4-bit (estimate)1.27 GBFits703K1M

Kimi-K3-DSpark on other hardware

Popular models that run on Mac with 24 GB

Assumes 67% of the Mac's memory is usable (macOS's default limit for the GPU; it can be raised) and at least 4K tokens of context for one conversation, with the context cache in 16-bit unless noted. Fits leaves at least 20% of that memory for context; Tight leaves less.