# Thalovant: Open-Weight Models and Datasets
Source: https://savrn.com/model-publishers/thalovant
Markdown alternate of the page above; the site index is https://savrn.com/llms.txt

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## Models

Model · Text classification

### [thalovant-m2v-intents](https://savrn.com/models/thalovant-m2v-intents)

[Thalovant](https://savrn.com/model-publishers/thalovant)

A static-embedding intent classifier for the Thalovant hub. It maps an utterance to one of 190 labels of the form:, exactly as ovos-m2v-pipeline registers them. The labels are the fleet's skills and the other intents the hubs register (the persona and reading pipelines, wikihow), from the fleet corpus and nothing else. There is no "none of these" label: a sentence about something no skill does still gets the nearest skill's label, often with high confidence. Base: Jarbas/m2v-256-distiluse-base-multilingual-cased-v2, fine-tuned with model2vec's classifier trainer. Measured on sentences the classifier never saw: 22317 held-out rows whose text, in any language, and whose intent line are both…

Open weights apache-2.0 31M parameters model2vec

[View model](https://savrn.com/models/thalovant-m2v-intents)

## Explore More

- [All model publishers](https://savrn.com/model-publishers)
- [The model directory](https://savrn.com/models)
- [The dataset directory](https://savrn.com/datasets)

## Source

- Listed from their public repositories, read 2026-09-20.
- [Hugging Face profile](https://huggingface.co/thalovant)
- [How the hub is built](https://savrn.com/model-hub/methodology)
