Source details
- Original source
- unite.ai
- Published
- 2026-09-09
- Primary topic
- Foundation Models
Why it matters
Model launches, benchmark jumps, API upgrades, context window changes, and frontier LLM competition. Use the original source for the full report, then use the directory shortcuts below to compare the products and workflows the story points toward.
What happened
IBM released Granite Time Series PatchTST-FM-r2 on September 9, 2026, a roughly 385-million-parameter zero-shot time-series forecasting model dual-licensed under Apache 2.0 and the Linux Foundation's OpenMDW 1.0. The model weights, architecture, inference pipeline, and code needed to reproduce its benchmark results were all published openly with the release. IBM announced the model in a Hugging Face blog post by IBM Research authors, presenting it as the successor to PatchTST-FM-r1 and the…
What to do next
Compare the hosted model pages first, then check the related tools and buyer guides before changing workflow standards.
IBM released Granite Time Series PatchTST-FM-r2 on September 9, 2026, a roughly 385-million-parameter zero-shot time-series forecasting model dual-licensed under Apache 2.0 and the Linux Foundation's OpenMDW 1.0. The model weights, architecture, inference pipeline, and code needed to reproduce its benchmark results were all published openly with the release. IBM announced the model in a Hugging Face blog post by IBM Research authors, presenting it as the successor to PatchTST-FM-r1 and the…
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