# Fine-tuning and adaptation status

`Inflect-Nano-v2` is an open-weight, inference-first release. The repository does not ship the private corpus-construction recipe, teacher setup, discriminator checkpoints, optimizer state, or a supported training command.

## What is supported

- Local inference from the released generator checkpoint.
- Deterministic regression testing through a fixed text, seed, speed, and variation value.
- Inspection of the complete deployable architecture and frontend.
- Research adaptation in a separate VITS-compatible training environment, at the user's own risk.

## What is not yet supported

- A one-command new-voice trainer.
- Zero-shot voice cloning or speaker embeddings.
- Language adaptation without rebuilding the symbol inventory and frontend.
- Resuming the release checkpoint as if it contained discriminators or optimizer state.

## Data contract for future adapters

A defensible voice-adaptation toolkit must require a UTF-8 manifest with one audio path and one verified transcript per row; mono, consistently sampled, unclipped speech; held-out prompts that never enter training; speaker-identity and transcript audits; and an inference-only export that removes all training-only state. Duration, silence, clipping, and ASR checks must run before training rather than after a failed model.

## Evaluation contract

Any adapted checkpoint should be compared with the frozen release on identical unseen prompts, a fixed seed policy, semantic WER, signal diagnostics, a learned quality predictor, and a blinded human listening test. Improving speaker similarity while reducing intelligibility is not a successful adaptation.

This file intentionally does not pretend that an unvalidated training recipe is a supported feature. A public adapter will be documented separately if it passes the same package and evaluation gates as the release models.