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2 changes: 1 addition & 1 deletion docs/source/deep_dives/checkpointer.rst
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Expand Up @@ -267,7 +267,7 @@ for testing or for loading quantized models for generation.
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:class:`DistributedCheckpointer <torchtune.training.DistributedCheckpointer>`
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

This checkpointer reads and writes checkpoints in a distributed format using Pytorch Distributed Checkpointing (DCP).
The output format is DCP's default format, which saves the state dict across all ranks, as seperate files for each rank. This differs
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