Run Mistral's Timestral time-series foundation models inside DuckDB
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Updated
Oct 29, 2026 - C++
Run Mistral's Timestral time-series foundation models inside DuckDB
Mistral Timestral: Tiny 209M AI Predicts Stocks Locally on CPU! Zero-shot probabilistic forecasting foundation model.
AI battery-life forecast for Windows: learns your habits with Timestral, runs entirely on your PC. Windows fork of Till Dusk.
AI weather in your browser: Mistral's Timestral model forecasts the next 24 hours, running entirely client-side (ONNX Runtime Web).
3D printed weather station with microservices backend
Pure-Zig train -> quantize -> deploy framework for ternary {-1,0,+1} MCU models
Timestral forecasting for Apache DataFusion
Findings and training setup for Mistral's Timestral time-series model: fine-tuning script (Mistral ships none), eval harness, and results. Benchmarked on Kalshi BTC 15-min markets.
Reproducible benchmark of Timestral-209M on public M4 monthly series
Zero-shot sales forecasting with Mistral AI's Timestral on Databricks: Unity Catalog, MLflow, serverless GPU, Prophet baseline
Grafana plugin for probabilistic time series forecasting with Mistral's Timestral model: forecast panel, Explore and panel-menu actions, and an alerting-ready data source.
Run, compare and inspect time-series foundation models (Timestral, Chronos-2, TimesFM, t0-gamma, TiRex-2) on your own machine. Unofficial, local-first.
To associate your repository with the timestral topic, visit your repo's landing page and select "manage topics."