A deliberately small, reproducible research model — one of several seeds in EleutherAI's Pythia suite designed for studying how language models develop during training. At 160M parameters it handles only basic language tasks and has a narrow 2048-token context, but its value lies in transparency and reproducibility rather than raw capability. Researchers can compare it directly against other Pythia seeds to isolate the effects of random initialization.