FreeLLMMistral AI launches Timestral, a time‑series foundation model family
Timestral offers four sizes up to 209 M parameters, achieving top zero‑shot scores on GIFT‑Eval, TIME and fev‑bench.
Four model sizes are available: 5 M, 28 M, 123 M and 209 M parameters, with the largest weighing 837 MB.
The models support past‑only, known‑future and categorical covariates, output 21 quantiles per step, and handle contexts up to 32,768 steps.
Inference runs on CPU or GPU using PyTorch, NumPy, safetensors and huggingface_hub; installation is via pip or a cloned repository.
あなたにとっての意味
Timestral provides a ready‑to‑use forecasting tool that works without a GPU, making advanced time‑series prediction accessible to researchers and developers on modest hardware. Its strong zero‑shot performance also offers a free alternative to commercial forecasting services for those seeking locally runnable models.
ソース
- mistralai/timestral: Repository for Timestral, the time-series foundation model by Mistral AI, GitHub trending (official), 15 Oct 2026
上記のソースから自動的に生成し、当社のコードでチェックしました：すべての数値と名前が含まれ、文がソースをコピーしてはいけません。間違いを見つけましたか？報告する。
今日無料で使えるAIはどれですか？
すべての無料AIモデルをブラインドヒューマン投票で順位付けし、あなたのGPUで必要なメモリと速度を示します。