Россиянин устроил дебош на борту самолета, был связан скотчем и попал на видеоРоссиянин перебрал с виски и устроил дебош на борту самолета до Омска
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Throughout this series, “we” refers to maderix (human) and Claude Opus 4.6 (by Anthropic) working as a pair. The reverse engineering, benchmarking, and training code were developed collaboratively — human intuition driving the exploration, AI reasoning through the data and writing the analysis. We think this kind of human–AI collaboration is a new and natural way to do systems research: one partner as the architect with intuition, the other as the engineer writing the code and crafting experiments .
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.,更多细节参见超级权重
Instead, the point is to sift through fluff and bloat to get to what’s really important, and that’s not only much easier, but the various tools available today make it really easy to do. Below, I’ll describe the tool I used for it, and how I configured it to help me sift through the nonsense.