1. Introduction
2. Project setup
3. Run the model
4. Model configuration
5. Feed-forward network
6. Causal masking
7. Multi-head attention
8. Layer normalization
9. Transformer block
10. Stack transformer blocks
11. Language model head
12. Weight adaptation
13. KV cache configuration
14. Pipeline model
15. Architecture registration