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this post was submitted on 28 Jul 2026
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Technology
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Running model that is good at everything require huge amount of energy and huge data center. Those models are mixture of experts. Latest Kimi K3 have 896 experts. Imagine you have company with 896 employees. Each question involves 16 employees to figure out what to do in what area of your business. Like a brainstorm to solver problem. Now if you know exactly what you want and in which area you actually need only 1-5 people. Like an agile team instead of all those people that you have. So you can hire just couple Kimi K3 experts. 16 experts are 100B parameters so roughly 1 expert in frontier open source model is 6B parameters. 5 experts is 30B parameters. You can run 27B Qwen 3.6 quantized into int4 on your computer.
I posted link below to example where they fine tuned model ( take it like a employee training ) for specific task.
An important caveat to that explanation is that the mixture of experts gets evaluated for every token and not for high level tasks as in the example. There will be certain "experts" for looking at indentation tokens, or ones that look at specific word beginnings/prefixes etc.