Fine-Tuning Qwen 2.5 on the Catechism, Summa, and Augustine via Local MLX
Pablo Leyva · R1 New Jersey Institute of Technology
This page hosts the latest rendered artifacts for the
scholastic-llm
project. Both PDFs are regenerated by GitHub Actions
(paper,
poster)
on every push that touches their sources.
The project is complete through Phase 2. Four MLX LoRA adapter variants are published on
Hugging Face, with
sft-v2-iter400
as the best checkpoint (68/120 strict, 68/90 balanced). The DPO chain is documented as a negative result.
Live interactive demo on Hugging Face Spaces (free CPU tier — 2 vCPU, 16 GB RAM). The 7B model is large for this hardware: each response takes ~5 minutes (responses are capped at 220 tokens; full Summa-form answers are in the paper). For real-time inference, run the MLX adapter locally on Apple Silicon (a single response in ~1-3 seconds).
Repository: github.com/pleyva2004/scholastic-llm