Granite TTM R3 Model Card Building on top of TTM R1 and TTM R2 , we introduce the next generation of TinyTimeMixer under the Granite time series foundation model family — Granite TTM R3 . This release incorporates several novel tiny neural architectural innovations designed to push the limits of accuracy in high speed forecasting , a critical requirement for real world production deployments. Supported Tasks & Capabilities Granite TTM R3 is a family of pretrained models supporting multiple real world forecasting scenarios: Zero shot forecasting across unseen datasets Few shot adaptation effective with as few as ~1K samples Full fine tuning for domain specific optimization Multivariate time series forecasting Exogenous / control variable integration High throughput batch inference for production systems Architecture Overview Granite TTM adopts a mixture of experts paradigm composed of models with varying complexities [1 35M and Lite: 1 18M parameters] — coupled with a lightweight routing mechanism that automatically selects or blends the most suitable expert based on input data characteristics. This enables adaptive model selection, improving both accuracy and efficiency across dive…
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