checkpoint

TorchTitan uses PyTorch Distributed Checkpoint (DCP) for fault-tolerant, interoperable checkpointing.

Skills
AI research
1

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A skill that teaches Claude Code to do ai research tasks well. It is packaged knowledge the model uses whenever it is relevant.

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Install (Claude Code)

mkdir -p .claude/skills/checkpoint && curl -fsSL https://doutorai.pt/data/lib/skills__checkpoint.md -o .claude/skills/checkpoint/SKILL.md

Paste this command into the terminal, in your project folder, and the component installs automatically.

Content

# Checkpointing in TorchTitan

TorchTitan uses PyTorch Distributed Checkpoint (DCP) for fault-tolerant, interoperable checkpointing.

## Basic Configuration

```toml
[checkpoint]
enable = true
folder = "checkpoint"
interval = 500
```

## Save Model Only (Smaller Checkpoints)

Exclude optimizer state and training metadata:

```toml
[checkpoint]
enable = true
last_save_model_only = true
export_dtype = "bfloat16"  # Optional: export in lower precision
```

## Excluding Keys from Loading

Partial checkpoint loading for modified settings:

```toml
[checkpoint]
enable = true
exclude_from_loading = [

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