Google’s 200M-parameter time-series foundation model with 16 / 谷歌具有16k上下文的200M参数时间序列基础模型

📰 2026-03-31 14:00 更新

🔸 Google’s 200M-parameter time-series foundation model with 16k context / 谷歌具有16k上下文的200M参数时间序列基础模型

🔗 Google’s 200M-parameter time-series foundation model with 16k context
🔥 24 points

原文:
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting. This open version is not an officially supported Google product. Latest Model Version: TimesFM 2.5 Archived Model Versions:

译文:
TimesFM (时间序列基础模型)是由Google Research开发的用于时间序列预测的预训练时间序列基础模型。此开放版本不是官方支持的Google产品。最新型号版本: TimesFM 2.5存档型号版本:


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