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The setup was modest. Two RTX 4090s in my basement ML rig, running quantised models through ExLlamaV2 to squeeze 72-billion parameter models into consumer VRAM. The beauty of this method is that you don’t need to train anything. You just need to run inference. And inference on quantized models is something consumer GPUs handle surprisingly well. If a model fits in VRAM, I found my 4090’s were often ballpark-equivalent to H100s.
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Заявления Трампа об ударе по иранской школе опровергли14:48
The Pentagon's designation is the first time a US company has been labelled a supply chain risk, which means the government considers Anthropic not secure enough for it to use.
Европеец описал впечатления от дворца в России фразой «рот открылся и не закрывался»17:34