Tech · Hugging Face
IBM publishes SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license
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Time-series foundation models are changing the way forecasting systems are built.
Key facts
- When restricting the leaderboard to models that are zero-shot, replicable, and evaluated without test leakage, PatchTST-FM-r2 ranks second for both CRPS and MASE as of September 8, 2026
- The conformer blocks in the backbone use alternating convolution kernel sizes of 3 and 5, in a repeating pattern {5, 5, 3, 3}
- As of September 8, 2026, the model is the top performing zero-shot model released under a permissive, commercial-friendly open-source license (Apache 2.0 and OpenMDW 1.0) among replicable, zero-shot
- To provide greater choice for the community, Granite Time Series PatchTST-FM-r2 is dual licensed under Apache 2.0 and OpenMDW 1.0
Summary
IBM has released Granite Time Series PatchTST-FM-r2, the latest model in the Granite TSFM family ( github, blog ). As of September 8, 2026, the model is the top performing zero-shot model released under a permissive, commercial-friendly open-source license (Apache 2.0 and OpenMDW 1.0) among replicable, zero-shot models on the GIFT-Eval leaderboard. The model weights, architecture, inference pipeline, and code needed to reproduce the benchmark results are all available. In this blog they describe the model, dive deeper into the benchmarking results and the model architecture, discuss the training data and licensing, and provide code examples illustrating how to use the model. General-purpose zero-shot forecasting for demand, prices, energy loads, traffic, telemetry, and other time series.