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LayerCheck: Adaptive Layer-wise Checkpointing for Large Language Model Post-training
With the rising computational and monetary costs of training large language models (LLMs), checkpointing---periodically storing model states for recovery---becomes essential for fault tolerance. Conventional checkpointing entails a severe trade-off between checkpoint frequency (I/O overhead) and com
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