PACINFRAX · PRODUCT
Prepare adaptation with dataset and model rights.
Define the training objective, artifact ownership and quality threshold before a run.
Your decision
Determine whether model adaptation is justified for your task.
- Confirm dataset provenance, consent and base-model license; separate data preparation from training permission.
- Specify train/validation splits, revision, hyperparameters, resource budget and checkpoint retention.
- Compare the adapted model against a baseline; decide who owns the artifact and who may deploy or export it.
Training submission, managed fine-tuning and artifact publication are not enabled. No quality improvement is promised.