torch.OutOfMemoryError: CUDA out of memory
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.，这一点在搜狗输入法中也有详细论述
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南方人物周刊：你观察到，骗色社群不仅教授技巧，也提供了一个谈论脆弱、孤独的空间——但被明确地定价和管理。这与传统男性友谊相比有何本质不同？课程结束后，这种关系还能持续吗？，推荐阅读新闻获取更多信息