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ColossalAI/docs/source/en/basics/booster_checkpoint.md

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# Booster Checkpoint
Author: [Hongxin Liu](https://github.com/ver217)
**Prerequisite:**
- [Booster API](./booster_api.md)
## Introduction
We've introduced the [Booster API](./booster_api.md) in the previous tutorial. In this tutorial, we will introduce how to save and load checkpoints using booster.
## Model Checkpoint
{{ autodoc:colossalai.booster.Booster.save_model }}
Model must be boosted by `colossalai.booster.Booster` before saving. `checkpoint` is the path to saved checkpoint. It can be a file, if `shard=False`. Otherwise, it should be a directory. If `shard=True`, the checkpoint will be saved in a sharded way. This is useful when the checkpoint is too large to be saved in a single file. Our sharded checkpoint format is compatible with [huggingface/transformers](https://github.com/huggingface/transformers).
{{ autodoc:colossalai.booster.Booster.load_model }}
Model must be boosted by `colossalai.booster.Booster` before loading. It will detect the checkpoint format automatically, and load in corresponding way.
## Optimizer Checkpoint
> ⚠ Saving optimizer checkpoint in a sharded way is not supported yet.
{{ autodoc:colossalai.booster.Booster.save_optimizer }}
Optimizer must be boosted by `colossalai.booster.Booster` before saving.
{{ autodoc:colossalai.booster.Booster.load_optimizer }}
Optimizer must be boosted by `colossalai.booster.Booster` before loading.
## LR Scheduler Checkpoint
{{ autodoc:colossalai.booster.Booster.save_lr_scheduler }}
LR scheduler must be boosted by `colossalai.booster.Booster` before saving. `checkpoint` is the local path to checkpoint file.
{{ autodoc:colossalai.booster.Booster.load_lr_scheduler }}
LR scheduler must be boosted by `colossalai.booster.Booster` before loading. `checkpoint` is the local path to checkpoint file.
## Checkpoint design
More details about checkpoint design can be found in our discussion [A Unified Checkpoint System Design](https://github.com/hpcaitech/ColossalAI/discussions/3339).
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