
What happened
Ollama 0.35 is the first of a series of releases supporting decision models, and can run Nimble, Tev1, and Tev1:0.8b locally.
Why it matters
Decision models can handle tasks like ticket triaging, model routing, and content moderation, and now they can run on a user's own machine rather than only in the cloud.
What to watch
The test is whether future updates deliver on the stated plans to add MLX support for faster Mac performance and to expand the number of supported models. Watch for those updates.
WHO IT HITSDevelopers and IT teams who run local AI tools like Ollama can now pull and run Jev-like decision models on their own hardware, which may suit tasks such as ticket triaging, model routing, and content moderation without relying on cloud services.
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Ollama positions version 0.35 as the first in a series of releases that support decision models, rather than a one-off addition. The models it can now run — Nimble, Tev1, and Tev1:0.8b — are built on the same idea as Jev, and the company frames their use around practical tasks such as ticket triaging, model routing, and content moderation.
The release is accompanied by an announced roadmap: future updates are planned to add MLX support for faster operation on Mac and to expand the number of supported models. That suggests Ollama intends to grow the decision-model line over time rather than stop at this first set.
For people already using Ollama to run AI locally, the significance hinges on how quickly those planned updates arrive and whether more decision models follow. The outcome depends on the roadmap being delivered, not just announced, and on whether these models prove useful for the triage, routing, and moderation tasks the company highlights.
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