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Français(FR) Timestral, la famille de modèles de prévision de séries temporelles de Mistral, tourne sur CPU sans GPU. Quatre tailles, de 5M à 209M de paramètres. Le plus gro

Mistral AI unveils Timestral time-series models for CPU inference

By PulseAugur Editorial · [1 sources] ·

Mistral AI has introduced Timestral, a family of time-series forecasting models designed to run efficiently on central processing units (CPUs) without the need for graphics processing units (GPUs). The models come in four sizes, ranging from 5 million to 209 million parameters. The largest model, with 209 million parameters, can predict one day ahead in 140 milliseconds, while the smallest achieves this in 10 milliseconds. Notably, the 209M model has achieved the top position on the GIFT-Eval benchmark in a zero-shot setting. AI

IMPACT Enables efficient time-series forecasting on standard CPUs, potentially broadening access to advanced predictive capabilities.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Mistral AI unveils Timestral time-series models for CPU inference

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15 / 100
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Significant
Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 Français(FR) · camilleroux ·

    Timestral, Mistral's family of time series forecasting models, runs on CPU without GPU. Four sizes, from 5M to 209M parameters. The largest

    Timestral, la famille de modèles de prévision de séries temporelles de Mistral, tourne sur CPU sans GPU. Quatre tailles, de 5M à 209M de paramètres. Le plus gros prévoit un jour d'avance en 140 ms, le plus petit en 10 ms. Le 209M est premier sur GIFT-Eval en zero-shot. ⬇️ https:/…

    LINKS mistral.ai/…/timestral camilleroux.com/veille

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