TTM R3 Model Card Building on top of TTM R1 and TTM R2 , we introduce the next generation of TinyTimeMixer — 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 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 🚀 Accuracy & Speed TTM R3 is engineered to achieve a strong balance between state of the art accuracy and extreme inference efficiency , making it well suited for real world, high throughput deployments. 📊 Accuracy (GIFT Eval) Maintains top tier performance on the GIFT Eval leaderboard. Fine tuned FM : MASE: 0.713 CRPS: 0.512 (Lite) MASE: 0.721 CRPS: 0.516 Pre trained FM : MASE: 0.724 CRPS: 0.520 (Lite) MASE: 0.734 CRPS: 0.526 ⚡ Inference Throughput TTM…
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