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13min chapter
Handling Multi-Terabyte LLM Checkpoints // Simon Karasik // #228
MLOps.community
Navigating the Checkpoint Conundrum
The chapter explores the significance of checkpoints in training neural networks, drawing parallels to video game checkpoints to emphasize progress-saving. It delves into managing multi-terabyte checkpoints for large models, discussing the balance between frequency, size, and storage challenges. The importance of starting with smaller models for efficient training, monitoring progress with various tools, and utilizing high-speed networks for handling massive checkpoints is underscored.
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