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The script throws an out of memory error on the non-lora model forward pass. I can print GPU memory immediately after loading the model and notice each GPU has 62.7 GB of memory allocated, except GPU 7, which has 120.9 GB (out of 140.) Ideally, the weights should be distributed evenly. We can specify which weights go where with device_map. You might wonder why device_map=’auto’ distributes weights so unevenly. I certainly did, but could not find a satisfactory answer and am convinced it would be trivial to distribute the weights relatively evenly.。PG官网对此有专业解读
。业内人士推荐手游作为进阶阅读
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比爾·蓋茨據報承認與兩俄羅斯女性有染並道歉 梅琳達稱想起「令人痛苦的時光」