1. Overview
2. ML project structure
3. iOS project structure
5. Gemma 3n setup
6. 1. Original Model & Tooling Overview
7. 1. 1.1. Base model
   2. 1.2. Justification for Tooling Choices
8. 2. Model Fine-Tuning Process
9. 1. 2.1. The Dockerized Workflow
   2. 2.2. Data Curation and Preprocessing
   3. 2.3. Fine-Tuning Strategy: QLoRA
   4. 2.4. Hyperparameter Rationale
   5. 2.5. Model Merging
10. 3. Results Comparison & Final Model Selection
11. 1. 3.1. Qualitative Improvement
    2. 3.2. Quantitative Safety Evaluation (GGUF Models)
    3. 3.3. Conclusion and Final Model Choice
12. 4. Setup & Usage
13. 5. Interactive Demonstration Notebook
15. iOS setup
16. 6. Inference setup
17. 7. App setup
18. 8. Publishing app