mistralai/Timestral-209M开源了新模型

mistralai/Timestral-209M · Hugging Face Hugging Face (https://huggingface.co/) Models (https://huggingface.co/models) Datasets (https://huggingface.co/datasets) Spaces (https://huggingface.co/spaces) Buckets new (https://huggingface.co/storage) Docs (https://huggingface.co/docs) Enterprise (https://huggingface.co/enterprise) Pricing (https://huggingface.co/pricing) Website Tasks (https://huggingface.co/tasks) HuggingChat (https://huggingface.co/chat) Collections (https://huggingface.co/collections) Languages (https://huggingface.co/languages) Organizations (https://huggingface.co/organizations) Community Blog (https://huggingface.co/blog) Posts (https://huggingface.co/posts) Daily Papers (https://huggingface.co/papers) Hardware (https://huggingface.co/hardware) Learn (https://huggingface.co/learn) Discord (https://huggingface.co/join/discord) Forum (https://discuss.huggingface.co/) GitHub (https://github.com/huggingface) Solutions Team & Enterprise (https://huggingface.co/enterprise) Hugging Face PRO (https://huggingface.co/pro) Enterprise Support (https://huggingface.co/support) Inference Providers (https://huggingface.co/inference/models) Inference Endpoints (https://huggingface.co/inference-endpoints) Storage Buckets (https://huggingface.co/storage) Log In (https://huggingface.co/login) Sign Up (https://huggingface.co/join) (https://huggingface.co/mistralai) mistralai (https://huggingface.co/mistralai) / Timestral-209M (https://huggingface.co/mistralai/Timestral-209M) Like 86 Follow Mistral AI_ 20.1k Time Series Forecasting (https://huggingface.co/models?pipeline_tag=time-series-forecasting) Safetensors (https://huggingface.co/models?library=safetensors) timestral (https://huggingface.co/models?other=timestral) time-series (https://huggingface.co/models?other=time-series) forecasting (https://huggingface.co/models?other=forecasting) foundation-model (https://huggingface.co/models?other=foundation-model) Eval Results (legacy) (https://huggingface.co/models?other=model-index) License: other Model card (https://huggingface.co/mistralai/Timestral-209M) Files Files and versions xet (https://huggingface.co/mistralai/Timestral-209M/tree/main) Community 1 (https://huggingface.co/mistralai/Timestral-209M/discussions) Copy to bucket new Model Details (https://huggingface.co/mistralai/Timestral-209M#model-details) Benchmarks (https://huggingface.co/mistralai/Timestral-209M#benchmarks) Timestral-209M compared with other models (https://huggingface.co/mistralai/Timestral-209M#timestral-209m-compared-with-other-models) Results across the Timestral family (https://huggingface.co/mistralai/Timestral-209M#results-across-the-timestral-family) Usage (https://huggingface.co/mistralai/Timestral-209M#usage) Install (https://huggingface.co/mistralai/Timestral-209M#install) Run the model (https://huggingface.co/mistralai/Timestral-209M#run-the-model) Additional Resources (https://huggingface.co/mistralai/Timestral-209M#additional-resources) License (https://huggingface.co/mistralai/Timestral-209M#license) Timestral-209M Timestral is a family of time series foundation models for zero-shot forecasting, available in 5M (https://huggingface.co/mistralai/Timestral-5M) , 28M (https://huggingface.co/mistralai/Timestral-28M) , 123M (https://huggingface.co/mistralai/Timestral-123M) , and 209M (https://huggingface.co/mistralai/Timestral-209M) parameter versions. This repository contains the 209M checkpoint. Timestral supports univariate and multivariate forecasting, past-only and known-future covariates, and probabilistic predictions across 21 quantiles. It accepts up to 32,768 historical time steps and forecasts up to 1,024 steps in a single forward pass. We’re releasing the source code in our GitHub repository (https://github.com/mistralai/timestral/) to make it easy to run Timestral and reproduce our benchmark results. (https://huggingface.co/mistralai/Timestral-209M#model-details) Model Detai

Mistral AI mistralai/Timestral-209M mistralai/Timestral-209M https://huggingface.co/mistralai/Timestral-209M