微调 Qwen3.5-14B-Base satire 模型需要什么硬件?
Help With Choosing Hardware [P]
有用户计划对 Qwen3.5-14B-Base 做全量微调,数据集约 18000 条、样本偏长且与模型内部知识不符,因此放弃 LoRA。其在 vast.ai 租用 4x12GB GPU、48GB 系统内存的云机器,训练时反复显存不足,浪费约 $3,现寻求合适的硬件配置建议。
I am going to fine-tune a satire model, with the base model being `Qwen3.5-14B-Base`. The dataset has ~18000 examples, most of which are pretty long and do not align with the model's internal knowledge (they have incorrect answers to facts), so I needed to do a full fine tune rather than use LoRA.
Today, I rented a cloud computer on vast.ai. It had 4x12GB GPUs and 48GB of system RAM, but I feel stupid because it kept running out of memory when I tried training, and I kept trying to change settings rather than just renting a different computer, so I basically wasted $3. I underestimated how much RAM would be needed for this task.
So, I would like to know if any of you have some recommendations for proper hardware to use.
submitted by /u/minedroid1
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来源:r/MachineLearning · reddit.com