Low-resource language post-training on consumer hardware. I teach open LLMs
proper Estonian on a single RTX 5090: locked evals, rule-based data generation
validated with morphological analysers (Vabamorf/EstNLTK), surgical SFT rounds
built from the model's own errors, on-policy DPO, and continued pretraining on
edited prose. Everything measured, every failure documented, all methods and
adapters released openly.
Mission: a small language should be as good in open models as in paid ones —
and this work should carry forward into future models. Non-commercial.