MODEL SPEC: Date: 1. Task (one sentence): 2. Users and setting (who uses it, where it runs): 3. Input -> output (with one real example of each): 4. Success metric and target: 5. Baseline (prompting result on the eval set): 6. Evaluation set (size, where it came from): 7. Base model (name, size, license): 8. Training data (source, size, rights, privacy): 9. Method (prompting / retrieval / SFT / LoRA / QLoRA / preference tuning / from scratch): 10. Budget (hardware, hours, money): 11. Risks and safeguards: 12. Kill criteria (when to stop):