Artifact contract

A complete tiny-model journey from catalog ablation through a 2x2 distractor-and-safety training factorial, ending at a measured 45M capacity boundary.

This benchmark case file is classified as guided replay. Workload guidance: public evidence replay; rerunning model evaluation requires approval.

Build

Build the four training arms and verify the tiny-overfit correctness gate.

Modify

Inspect how distractor-rich and safety examples differ while every other training variable stays fixed.

Tune

Compare the four LoRA arms, three independent training seeds, and the predeclared unsafe-arm stop rule.

Prove

Reproduce the public-dev decision and explain why sealed V2 and quantized parity stayed locked.

Package

Retain fixtures, raw outputs, scorer, catalog policy, and conclusion as a benchmark artifact.

CLI surface

Run: posttrainllm eval-bfcl
Run: posttrainllm eval-compare

How to read this dossier

This canonical page separates the retained repository decision from the material that informed it. A source may describe an external claim, historical measurement, local observation, or planned procedure; those evidence classes are not interchangeable. Follow the provenance links before reusing a number or method.

Status and disposition describe what PostTrainLLM retained when this record was indexed. They are not a live product promise, a newly run benchmark, or permission to restart historical work. Unknown or unmeasured fields remain unknown rather than being treated as zero.

To reuse the record, first name the exact claim you need and trace it to the linked source. Then check whether the original environment, model revision, data split, evaluator, hardware, and budget match the proposed use. If they do not, treat the record as a hypothesis or design reference and run the smallest fresh comparison that can falsify it. Preserve negative outcomes and regressions beside any improvement; a local win on one slice does not silently become a general capability claim.

Source provenance

The normalized record comes from docs/learn/artifact-journey.json. The links below are the tracked evidence and explanatory sources preserved with the record.

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