Why it matters
Long training needs checkpoints. Understanding shapes reliable training.
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The architecture
Save: model + optimizer + scheduler + step.
Async save to avoid stalls.
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How it works end to end
Frequency: balance write cost vs recovery loss.
Format: safetensors modern.
Multi-tier storage.
Async: avoid blocking training.