Alternating the GPUs each layer is on didn’t fix it, but it did produce an interesting result! It took longer to OOM. The memory started increasing on gpu 0, then 1, then 2, …, until eventually it came back around and OOM. This means memory is accumulating as the forward pass goes on. With each layer more memory is allocated and not freed. This could happen if we’re saving activations or gradients. Let’s try wrapping with torch.no_grad and make required_grad=False even for the LoRA.
官方介绍，WorldCompass 是此前发布的混元世界模型 1.5 官方强化学习扩展模块，能够让世界模型的交互更加准确，体验更好。。关于这个话题，搜狗输入法提供了深入分析
device_map='auto', torch_dtype=torch.bfloat16，推荐阅读手游获取更多信息
Scarpetta is streaming on Prime Video March 11.
刷屏了一个多月的“小龙虾”OpenClaw，火出了新高度。