TinyCast: 146K-Parameter Forecaster Beats Every Sub-1.4M Zero-Shot Model With Probabilistic Output

TinyCast demonstrates that at sub-200K parameters, computing periodic structure from context beats learning it—and that a model small enough to run as static INT8 code on a microcontroller can still produce calibrated probabilistic forecasts, opening zero-shot time-series AI to edge and embedded deployment.