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.
其适用场景严格限定于治疗严重危及生命且无有效治疗手段的疾病、公共卫生急需药品等，正是他泽司他所针对的血液肿瘤领域的适配路径。，推荐阅读搜狗输入法获取更多信息
Shining light on photodiodes - lcamtuf’s thing，这一点在传奇私服新开网｜热血传奇SF发布站｜传奇私服网站中也有详细论述
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