When aligning models for underserved languages, document what doesn't work (like DPO failures), use statistical rigor in comparisons, and watch for silent failures in LLM-based evaluation—judges may refuse to score items without warning, invalidating results.
This paper presents Manacá-1B-Instruct-2, a safety-aligned Brazilian Portuguese language model, documenting failed DPO experiments and successful safety alignment through iterative SFT.