The short answer is no, it won't work on your home computer. In it's current form it needs something like 594 GB of memory, far outside what you can reasonably run on normal consumer hardware in 2026.
replyIf you have really high end hardware, you might be able to squeeze a heavily quantized version of Kimi-K3 onto your rig, but it will be too slow or too lobotomized to be useful.
This does put a near state-of-the-art open weights model within reach of what a small or medium business could afford if there's a case for local inference. It's probably not as good as Claude Fable or ChatGPT Sol. But if you're an organization that has a genuine need to run inference locally, this is a real possibility.
Is this for your homelab? Not in any practical sense.
Is this a possibility for organizations that can justify $1M or so on hardware for a near SOTA model they have full control over? Yeah, absolutely.
The full K3 model will probably be way more than 594GB, that's more of a plausible range for Kimi 2.x. You'll probably be able to test run this model at full or near-full precision using SSD offload, but only at very slow speeds - probably slow enough that you'll be forced to let inferences run overnight or even spanning multiple days. Mind you, that's still useful enough for many casual users, given that they're running a near-SOTA model!
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replyYes it will. Buy a 4TB nvme, allocate 3TB as swap, and run a gpu emulator on your cpu.
replyI can't imagine a GPU emulator would run better than straight CPU.
replyRight
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