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.
That's equally unhealthy, and even if you do achieve your goal you won't have done anything that mattered.。关于这个话题，新收录的资料提供了深入分析
这引发了外界的猜测——是否意味着Alexandr Wang被削权了？。新收录的资料是该领域的重要参考
found something you made useful,