7AM Autonomous Reveal Pack

Voice Dataset → Director LoRA → Omni Creative Machine

This is the morning cockpit for the pipeline you asked to make real while sleeping: dataset examples, Unsloth training plan, white paper, narrated HyperFrames proof video, and closed gates.

portable voice rows

data_train.jsonl follows audio/text/duration/dataset_id examples.

375 + 42

Director SFT rows

qwen_director_train/validation teach strict MindForge JSON.

5 → 60

Unsloth training ladder

A100 smoke first, bounded full follow-up after receipt.

Closed

safety gates

No public post, payment, voice-to-shell, or unbounded GPU loop.

Open the proof

Dataset shape

{"audio":"data/audio3.wav","text":"Each line is a JSON object with audio path and text.","duration":3.5}
{"audio":"data/audio5.wav","text":"Optional: add dataset_id for multi-dataset training.","dataset_id":1}

Training receipt

Full 60-step Qwen3.6 Director LoRA completed: train loss 0.4061.
Adapter uploaded: HF model repo.
Modal adapter path: /outputs/qwen36-27b-mindforge-director-smoke-20260513T081919Z/adapter.

Tiny goblin receipt: not just vibes — manifests, verifiers, video, training ladder. Uh huh huh.