A tiny, transparent research specimen rather than a production workhorse. At 160M parameters, it handles only simple text tasks and has a narrow 2048-token context, but its real value is reproducibility — the 'seed2' variant means its training run is fully documented and replicable, making it useful for studying how neural networks behave at small scale.