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Overview
PyTorch native post-training library
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Jul 11, 2026
- Languages
- python
Source: github.language+pyproject.toml · Jul 11, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 11, 2026)
pip install torch torchvision torchaoSource link
Tags
README
Installation 🛠️
torchtune is only tested with the latest stable PyTorch release (currently 2.6.0) as well as the preview nightly version, and leverages torchvision for finetuning multimodal LLMs and torchao for the latest in quantization techniques; you should install these as well.
Install stable PyTorch, torchvision, torchao stable releases
pip install torch torchvision torchao pip install torchtune
---
# Install PyTorch, torchvision, torchao nightlies.
pip install --pre --upgrade torch torchvision torchao --index-url https://download.pytorch.org/whl/nightly/cu126 # full options are cpu/cu118/cu124/cu126/xpu/rocm6.2/rocm6.3/rocm6.4
pip install --pre --upgrade torchtune --extra-index-url https://download.pytorch.org/whl/nightly/cpu
You can also check out our install documentation for more information, including installing torchtune from source.
To confirm that the package is installed correctly, you can run the following command:
tune --help
And should see the following output:
usage: tune [-h] {ls,cp,download,run,validate} ...
Welcome to the torchtune CLI!
options:
-h, --help show this help message and exit
...
License
torchtune is released under the BSD 3 license. However you may have other legal obligations that govern your use of other content, such as the terms of service for third-party models.