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PatchTST-FM (patched time-series transformer-based foundation model) essentially has the architectural simplicity of PatchTST, but differs in some crucial ways. Coupled with a revised training strategy and a significantly larger training corpus, we are able to train a model that achieves state-of-the-art results on [GiftEval](https://huggingface.co/spaces/Salesforce/GIFT-Eval) (see below for recommended filters to view this on the leaderboard). 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