This is a LoRA adapter for gpt2-large trained on Atlas of Knowledge v1.0.3
instruction records. It generates educational responses; it is not a factual authority,
professional advisor, or benchmark of broad educational competence.
Training
Training records: 16332
Held-out validation records: 256
Validation loss: 0.0975
Base-model parameters: 774,030,080
LoRA trainable parameters: 8,110,080
Hardware: local CPU in WSL; no cloud GPU was used.
Objective: next-token prediction over question, answer, definition, and reasoning text.
The adapter requires the named base model. Its training data contains systematically
expanded educational records, so outputs can repeat dataset phrasing or overfit to its
structure. Evaluate outputs independently before any consequential use.
