Guide: Finetune GPT2-XL (1.5 Billion Parameters, the biggest model) on a single 16 GB VRAM V100 Google Cloud instance with Huggingface Transformers using DeepSpeed

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I needed to finetune the GPT2 1.5 Billion parameter model for a project, but the model didn't fit on my gpu. So i figured out how to run it with deepspeed and gradient checkpointing, which reduces the required GPU memory. Now it can fit on just one GPU.

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