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Hi, thanks for your great work on LlamaGen!
I'm currently trying to reproduce your training strategy for a similar image modeling task. I have read through the paper and code, but I still have a few questions about the final training setup:
- How many GPUs (and what type) were used for training the full model?
- What was the global batch size and sequence length during training?
- Did you use any specific memory optimization techniques such as gradient checkpointing or ZeRO?
Any insight you could share would be extremely helpful for reproducing and scaling the training process. Thanks again!
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