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Training & fine-tuning

Composer

A PyTorch-based library from MosaicML for training AI models efficiently across many graphics cards.

New this week

What it does

Composer is a toolkit for training deep-learning models, from language models to image generators. It's built on PyTorch, a popular AI programming framework, and handles hard parts such as spreading training across many GPUs and computers.

It includes automatic resuming after a failed run, automatic memory tuning to avoid crashes, and a set of speed-up techniques. Its makers say these can make some training jobs several times faster.

It connects to experiment-tracking tools and cloud storage.

Who it's for

Machine-learning engineers and researchers training models at scale.

Can I use it without coding?

Developers only. It's a Python library for people comfortable with PyTorch. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Computer
Works best on a powerful computer or one with a graphics card (GPU)
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it