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fix(genai,#19700): bakeoff_large/__init__.py minimal docstring + prose -> README.md #19716

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Merged
myia-ai-01 merged 3 commits into from
Oct 8, 2026
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fix(genai,#19700): bakeoff_large/__init__.py minimal docstring + prose -> README.md #19716

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aa59c13
fix(genai,#19700): bakeoff_large/__init__.py minimal docstring + pros…
jsboige Oct 7, 2026
f4b2380
ci: refresh PR gate verdicts (run 37628653313 stale failure)
jsboige Oct 7, 2026
097e26e
Merge branch 'main' into fix/19700-bakeoff-large-init-syntax
jsboige Oct 8, 2026
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30 changes: 30 additions & 0 deletions ...AI.Notebooks/GenAI/Audio/04-Applications/v4/prosody_lab/bakeoff_large/README.md
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# bakeoff_large

Banc Phase A0 de l'EPIC #1028 / Issue #17586 (Audiobook) — modèles TTS au-delà
de 8 GB de VRAM, production audiobook français pour l'Association
Bibliothèques Sonores.

## Périmètre

- Machine : `myia-po-2023:CoursIA-2` — RTX 3090 24 GB + RTX 3080 16 GB.
- Disjoint de `bakeoff_small/` (`myia-po-2027:CoursIA-2`, RTX 4060 8 GB).

## Convention

- Chaque modèle candidat = 1 client dans `clients/<modele>.py`.
- Chaque banc = 1 appel :
```bash
python prosody_lab/ab_engine_test.py --model <modele> \
--extract <A|B> --out runs/<run-id>/A0-bakeoff/<modele>/
```
- Verdict plancher : `python scripts/tts_verification/verify_prosody.py --single <wav>` + WER Whisper.
- Aucun binaire audio dans le dépôt — dépôt GDrive
`G:\Mon Drive\MyIA\Projets\BibliothequesSonores\<run-id>\A0-bakeoff\`.

## Run-id courant

`run-20260924-143012` (à confirmer en début de Phase A).

## Modèles candidats (veille c.815, sous-agent haiku)

Tableau mis à jour dynamiquement dans `models_shortlist.md`.
25 changes: 8 additions & 17 deletions MyIA.AI.Notebooks/GenAI/Audio/04-Applications/v4/prosody_lab/bakeoff_large/__init__.py
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# Bakeoff Large — Phase A0 EPIC #1028 / Issue #17586
"""bakeoff_large — banc Phase A0 EPIC #1028 / Issue #17586 (Audiobook).

Périmètre `myia-po-2023:CoursIA-2` : RTX 3090 24 GB + RTX 3080 16 GB, modèles TTS au-delà de 8 GB de VRAM, visant la production audiobook français pour l'Association Bibliothèques Sonores.
Paquet d'orchestration des modèles TTS au-delà de 8 GB de VRAM, visant la
production audiobook français pour l'Association Bibliothèques Sonores.

Disjoint de `bakeoff_small/` (`myia-po-2027:CoursIA-2`, RTX 4060 8 GB).
Périmètre machine : myia-po-2023:CoursIA-2 (RTX 3090 24 GB + RTX 3080 16 GB).
Disjoint de bakeoff_small/ (myia-po-2027:CoursIA-2, RTX 4060 8 GB).

## Convention

- Chaque modèle candidat = 1 client dans `clients/<modele>.py`
- Chaque banc = 1 appel `python prosody_lab/ab_engine_test.py --model <modele> --extract <A|B> --out runs/<run-id>/A0-bakeoff/<modele>/`
- Verdict plancher : `python scripts/tts_verification/verify_prosody.py --single <wav>` + WER Whisper
- Aucun binaire audio dans le dépôt — dépôt GDrive `G:\Mon Drive\MyIA\Projets\BibliothequesSonores\<run-id>\A0-bakeoff\`

## Run-id courant

`run-20260924-143012` (à confirmer en début de Phase A)

## Modèles candidats (veille c.815, sous-agent haiku)

Tableau mis à jour dynamiquement dans `models_shortlist.md`.
Voir README.md du paquet pour la convention complète (clients, runs,
verdict plancher, etc.).
"""
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