"This bill will cost £34m to deliver, money that would be far better spent on our frontline services," he said.
Additional reporting contributed by Marco Quiroz-Gutierrez.
，这一点在吃瓜网中也有详细论述
Next up, let’s load the model onto our GPUs. It’s time to understand what we’re working with and make hardware decisions. Kimi-K2-Thinking is a state-of-the-art open weight model. It’s a 1 trillion parameter mixture-of-experts model with multi-headed latent attention, and the (non-shared) expert weights are quantized to 4 bits. This means it comes out to 594 GB with 570 GB of that for the quantized experts and 24 GB for everything else.，这一点在谷歌中也有详细论述
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