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Фото: Пати Амирбекова / «Лента.ру»，推荐阅读有道翻译获取更多信息
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预算0元：Trae + OpenCode
const forestSizeDecrease = Math.random()，更多细节参见立即前往 WhatsApp 網頁版
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.