Johannes EsslingerTNG

Hi speedbump,
we utilized the same training setup that olmOCR used to fine-tune Qwen2-VL-7B:
https://github.com/allenai/olmocr/tree/main/olmocr/train

Thanks andrei-41!

We chose the 8xH100 setup primarily for speed and convenience, since we had multiple experimental runs. Our final training run lasted 6 hours, so it was definitely overkill. But we rented the cluster via a cloud platform, which was a flexible, low-commitment choice; we could easily spin up/down instances as needed. Also, in terms of GPU memory, less would be definitely sufficient, probably two GPUs are already enough.