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English(EN) Mistral AI has released Timestral, a family of four time series forecasting models ranging from 5M to 209M parameters. The largest model outperforms Google's Ti

Mistral AI 发布 Timestral，在基准测试中超越 Google 的 TimesFM-3

作者 PulseAugur 编辑部 · [2 个来源] ·

Mistral AI 推出了 Timestral，这是一个新的时间序列基础模型系列，包含 4 个模型，参数量从 500 万到 2.09 亿不等。最大的 Timestral 模型在 GIFT-Eval、TIME 和 fev-bench 等基准测试中表现优于 Google 的 TimesFM-3，在零样本预测模型中排名第一。值得注意的是，Timestral 模型设计为可在标准服务器 CPU 上高效运行，无需 GPU，并且其开放权重和推理代码可供开发者使用。 AI

影响 为 CPU 上的零样本时间序列预测设定了新的 SOTA（State-of-the-Art），可能降低了采用门槛。

排序理由 Frontier-lab 模型发布，附带系统卡。[lever_c_demoted from frontier_release: ic=2 ai=1.0]

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AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

Mistral AI 发布 Timestral，在基准测试中超越 Google 的 TimesFM-3

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Frontier-lab 模型发布，附带系统卡。[lever_c_demoted from frontier_release: ic=2 ai=1.0]
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报道来源 [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

    Mistral AI 发布 Timestral：一个性能超越 Google TimesFM-3 的 209M 参数预测模型系列

    <p>Mistral released Timestral, a time series foundation model family from 5M to 209M parameters. The 209M model leads GIFT-Eval, TIME and fev-bench among zero-shot models and runs on CPU.</p> <p>The post <a href="https://www.marktechpost.com/2026/10/18/mistral-timestral-time-seri…

  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Mistral AI 发布 Timestral 系列模型，涵盖 500 万至 2.09 亿参数，最大模型性能超越 Google 的 Ti

    Mistral AI has released Timestral, a family of four time series forecasting models ranging from 5M to 209M parameters. The largest model outperforms Google's TimesFM-3 on benchmark tests and runs on standard CPU hardware. The models are available with open weights. https://www. m…

    链接 marktechpost.com/…/mistral-timestral-time…

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