priorstudio — CLI
The command-line interface for PFN Studio, the toolkit for training prior-fitted foundation models.
Install
pip install pfnstudio
For training (requires PyTorch):
pip install "pfnstudio[torch]"
Commands
pfnstudio init <dir> # scaffold a new FM project
pfnstudio validate <path> # check artifacts against JSON Schema
pfnstudio lint <project> # cross-reference + style checks
pfnstudio sample <prior.yaml> # draw N tasks from a prior
pfnstudio run <run.yaml> # execute a training run end-to-end
pfnstudio predict <run-dir> # inference against a trained checkpoint
pfnstudio export <project> # tar-gzipped project archive
Run priorstudio --help for the full list and <cmd> --help for each
subcommand's flags.
What this CLI is for
PFN Studio organises every PFN project around five first-class artifacts: priors (synthetic data generators), models (block compositions), evals (benchmarks + metrics), runs (training manifests), and initiatives (research workstreams). This CLI operates on the file layout those artifacts produce — scaffolding new projects, validating them, running training, and exporting them for sharing.
The full story (concepts, architecture, examples, marketplace catalog) lives at the main repo: github.com/profitopsai/pfnstudio
License
Apache-2.0.
1 maintainer
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