---
pretty_name: FastPLMs research and validation artifacts
license: other
license_name: source-specific-terms
license_link: https://github.com/Synthyra/FastPLMs/blob/main/docs/licensing.md
---
# FastPLMs artifacts

This dataset holds the measured reports and golden regression tensors maintained by [FastPLMs](https://github.com/Synthyra/FastPLMs). It is not a training dataset or a set of model checkpoints.

The source repository keeps `evidence.toml`, which pins an immutable dataset revision and each payload's SHA-256 digest and size. Fetch explicitly with `python -m tools.artifacts.evidence_store fetch` before offline documentation, release, or parity checks.

Paths preserve the source workspace layout: `docs/evidence`, `docs/validation`, and `tests/goldens`. Runtime configuration, model manifests, dependency locks, and small synthetic fixtures remain in Git.

## Evidence status

The v2 confidence reports preserve historical numeric results. Their `metrics_review` fields mark correlations, bootstrap intervals, and acceptance gates as requiring recomputation after the tied-rank correction. Raw per-target predictions were not recovered from the closed training workstation or W&B. These archived values must not be presented as corrected evaluation results. No v2 confidence weights are included.

Other artifacts retain their recorded source revisions, environments, and evidence boundaries. Presence in this dataset is not an assertion that all release gates pass.

## Terms and provenance

Payloads originated in the public FastPLMs repository at PR #49 (`1ae17f2b3955db28fe9c076b5c7e2394c6fc83ac`), with review-status annotations added to the v2 confidence reports. Golden metadata identifies originating checkpoints and source revisions. Applicable model and source terms remain in effect; migration does not relicense them. Consult the source repository's `LICENSES`, model manifest, and licensing documentation. No blanket permissive license is asserted for the combined collection.