1. Introduction  
2. Related Work  
2.2. Small Language Models  
2.3. Quantization for Model Acceleration  
3. Python Code Generation using Low-Cost CPU Models  
3.1. Problem Definition  
4. Datasets  
5. Prompt Engineering to Improve Generation  
6. Evaluation Methodology  
7. Results and Discussion: Our Dataset  
8. Results and Discussion: HumanEval and EvalPlus Dataset  
9. Conclusions and Future Directions