Skala 1.1
Skala 1.1 is an exchange-correlation functional for density functional theory (DFT) developed by Microsoft Research's OneDFT team. It uses a deep learning approach with a scalable neural network architecture that performs non-local message-passing on a 3D grid of electron density features.
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Frequently asked questions about Skala 1.1
Answered from the entry's own fields: context, license, modalities, evidence, serving and the memory to self-host.
Microsoft has not published a context window for Skala 1.1, so the catalog shows it as not available rather than estimating one.
Yes. Skala 1.1 is an open-weight model released under the MIT license, so the weights can be downloaded and self-hosted within that license's terms.
The catalog has no modality record for Skala 1.1, so its inputs and outputs are shown as not available rather than assumed to be text.
No published benchmark result for Skala 1.1 is in the catalog yet, so the model is shown as unmeasured. It is not ranked or estimated; the router treats it as unknown for every task until a suite measures it.
Not on the managed pool today; Skala 1.1 is listed for reference and comparison. Connect your own provider key or endpoint that serves it and the gateway runs it on your account, with routing decisions recorded the same way.
Microsoft has not published a parameter count for Skala 1.1, so the catalog cannot estimate its memory footprint. The capacity planner can size it from a parameter count you supply.
Fields collected from public registries, host APIs and benchmark publishers, each tagged with its source.
Last updated: Aug 28, 2026
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