Why it matters
The flagship systems project: the portfolio demonstrates ownership of the runtime boundary rather than only consuming a hosted model API.
Architecture
Evidence / implementation boundary
C++17 runtime work, pinned llama.cpp integration, GGUF model registry, memory-aware inference, CLI workflows, localhost API foundation and a Phase 5 fine-tuning pipeline are documented in the repository.
The project is developed with constrained environments in mind, including ARM64/Termux validation supplied by the project owner. This page does not turn that into a universal hardware benchmark.
Fine-tuning and broader runtime capabilities remain active areas of development.
Model performance and memory requirements vary by model, quantization and hardware. Production deployment is not claimed merely from the existence of the runtime.
Continue runtime hardening, reproducible benchmarks, broader model workflows and clearer deployment guidance.
Engineering focus
Problem framing → architecture → implementation → validation → documentation → the next useful version. The portfolio is designed to show decisions and evidence, not just screenshots.