MODEL INTELLIGENCE · SOURCE-FIRST
What is Timestral-28M?
Open Model Weights records Timestral-28M as a 0.0278212B-parameter time-series forecasting open-weight model in the Timestral family, with Mistral AI listed as the developer. The checked source repository provides 1 recognized weight artifacts, format evidence for Safetensors and a context window that is not declared in the checked standard sources. Values that are not evidenced in the checked sources remain explicitly undisclosed or unknown.
The repository declares Timestral Modified MIT (model weights). Commercial use requires reading the weight-specific Modified MIT license and IP-rights conditions; the Apache-2.0 Timestral code license does not cover the model weights. Open Model Weights reports the checked license evidence and classification; this is not legal advice.
No base model is declared in the checked standard lineage metadata, so Open Model Weights does not infer one. Training recipe status: not-disclosed-in-checked-repository; data disclosure status: described-in-model-card.
DEPLOYMENT PROFILE
Weight memory, without pretending it is a deployment guarantee.
These bars visualize weight-only decimal-GB estimates. They exclude KV cache, activations, runtime overhead, optimizer state and sharding.
LICENSE & USE
Timestral Modified MIT (model weights)
Commercial use requires reading the weight-specific Modified MIT license and IP-rights conditions; the Apache-2.0 Timestral code license does not cover the model weights
This section summarizes the checked repository evidence. It is not legal advice. Inspect license evidence ↗
LINEAGE & PROVENANCE
What the checked sources disclose — and what they do not.
Open Model Weights does not infer a hidden base model or training corpus when the checked sources do not declare one.
RUNTIME SIGNALS
Compatibility claims stay attached to their evidence level.
Declared and model-card-mentioned runtimes are discovery signals. They are not treated as Open Model Weights runtime tests unless explicitly measured.
EVIDENCE TRAIL
Sources and observed history.
This is where the article remains auditable: source links on one side, the registry's observed change history on the other.
Checked Hugging Face API metadata, exact repository file list, model card and config when accessible.