Comments (4)
jklj077
commented on June 13, 2024
https://github.com/QwenLM/Qwen/tree/main/recipes/finetune/deepspeed#settings-and-gpu-requirements
Not possible for 24GB * 4.
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taishan1994
commented on June 13, 2024
是8卡，不是4卡。因为看到qlora在一张80G显卡上，设置长度为4096，训练需要68.0G，所以通过qlora的方式能否在8*24G的机器上设置长度为4096来微调qwen-72b-chat。但是我是用qlora+zero2进行多GPU微调。发现在模型加载的时候就会报OOM，如果使用zero3，并把model_offord和optim_offord打开，模型可以正常加载，但是qlora和zero3又不能同时使用。所以想问下有什么方式可以做到我想要做的。
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jklj077
commented on June 13, 2024
For ZeRO Stage 2, having each GPU capable of holding the entire model is a bare minimum requirement. Given that Qwen-72B-Chat-Int4 exceeds 40GB, trying to finetune a model of this scale using Q-LoRA with GPUs that only have 24GB (or even 48GB) of memory simply won't cut it.
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taishan1994
commented on June 13, 2024
了解了，谢谢您的回答。
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