# thalovant-m2v-intents by Thalovant: Open-Weight Model Source: https://savrn.com/models/thalovant-m2v-intents Markdown alternate of the page above; the site index is https://savrn.com/llms.txt --- ## Runs On What it takes to serve thalovant-m2v-intents (31M parameters): the memory its weights need at each precision, and the cheapest way to rent enough data-center GPUs to hold them. | Precision | Weights | Memory needed | Cheapest setup | Per hour | Also fits | | --- | --- | --- | --- | --- | --- | | 16-bit | 0.1 GB | 0.1 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 8-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | | 4-bit | 0.0 GB | 0.0 GB | 1x [MI300X](https://savrn.com/ai-index/pricing/gpus/mi300x) (192 GB) Vultr | $1.85 | [1x H100](https://savrn.com/ai-index/pricing/gpus/h100) $1.99 · [1x MI325X](https://savrn.com/ai-index/pricing/gpus/mi325x) $2.00 | Memory is the weights at that precision plus 20% for the runtime and a short context; a long context needs more. Prices are the lowest on-demand hourly rates in the [SAVRN Index](https://savrn.com/ai-index/pricing/gpus), read Oct 7, 2026. [thalovant-m2v-intents on every accelerator the SAVRN Index prices, at every precision](https://savrn.com/models/thalovant-m2v-intents/gpus) ## Model Card By Thalovant, published under apache-2.0, revision d5167312c77b. 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](https://huggingface.co/Jarbas/m2v-256-distiluse-base-multilingual-cased-v2), fine-tuned with model2vec's classifier trainer. ### How good it is Measured on sentences the classifier never saw: 22317 held-out rows whose text, in any language, and whose intent line are both absent from the 91300 rows an evaluation model was trained on. A split per row would score the en-GB twin of an en-US training sentence as new. [Read the full model card (1,435 words)](https://savrn.com/models/thalovant-m2v-intents/card) ## Identity and Version Repository thalovant/thalovant-m2v-intents Publisher Thalovant Task Text classification Modality Text Library model2vec Parameters 31M parameters Languages Not stated by the source Revision d5167312c77b64399509e242eded866de0fc9a04 First published 2026-09-08 Last updated 2026-10-04 ## Files and Weights 16 files, 266.3 MB in total. The weights are 3 files totalling 245.5 MB in safetensors. Weights3 files · 245.5 MB Configuration8 files · 16.9 MB Tokenizer2 files · 3.9 MB Documentation2 files · 12.4 KB Repository1 file · 1.6 KB Every file | File | Type | Size | SHA-256 | | --- | --- | --- | --- | | encoder/model.safetensors | Weights | 122.3 MB | 7b36ecf58b02 | | head.safetensors | Weights | 916.5 KB | 79506ec07852 | | model.safetensors | Weights | 122.3 MB | eada89cdd993 | | config.json | Configuration | 12.2 KB | — | | encoder/config.json | Configuration | 59 B | — | | encoder/modules.json | Configuration | 278 B | — | | encoder/training.json | Configuration | 8.1 KB | — | | index.json | Configuration | 16.4 MB | 21db20b22290 | | labels.json | Configuration | 10.6 KB | — | | modules.json | Configuration | 278 B | — | | training.json | Configuration | 418.2 KB | — | | README.md | Documentation | 11.2 KB | — | | encoder/README.md | Documentation | 1.2 KB | — | | .gitattributes | Repository | 1.6 KB | — | | encoder/tokenizer.json | Tokenizer | 2.0 MB | — | | tokenizer.json | Tokenizer | 2.0 MB | — | ## License and Download License apache-2.0 Access Open weights, no gate Download size 245.5 MB [Download from Thalovant](https://huggingface.co/thalovant/thalovant-m2v-intents) Released by Thalovant through its official repository on Hugging Face. [Read the license](https://www.apache.org/licenses/LICENSE-2.0). ## Built From - Derived from Jarbas/m2v-256-distiluse-base-multilingual-cased-v2 ## Memory Requirements | Precision | Weights in memory | | --- | --- | | As published | 245.5 MB | | 16-bit | 0.1 GB | | 8-bit | 0.0 GB | | 4-bit | 0.0 GB | Weights only, from the published parameter count; the key-value cache and runtime add to this. ## Questions About thalovant-m2v-intents ### How much GPU memory does thalovant-m2v-intents need? About 0.1 GB at 16-bit and 0 GB at 4-bit: the weights (31M parameters) plus a working margin. A long context needs more. ### What is the cheapest GPU to run thalovant-m2v-intents on? At 16-bit, 1x MI300X from $1.85 an hour; at 4-bit, 1x MI300X from $1.85 an hour, at the lowest on-demand prices the SAVRN Index lists. ### Can I use thalovant-m2v-intents commercially? Yes. thalovant-m2v-intents is released under Apache License 2.0. The Apache License 2.0 is a permissive open-source license. 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Open weights 23M parameters 512 tokens transformers [View model](https://savrn.com/models/hw1-hc3-detector-6) ## Thalovant [All models and datasets](https://savrn.com/model-publishers/thalovant) ## Versions - [d5167312c77b](https://savrn.com/models/thalovant-m2v-intents/versions/d5167312c77b) · current 2026-10-04 - [a54846ff44c9](https://savrn.com/models/thalovant-m2v-intents/versions/a54846ff44c9) 2026-10-01 - [064c88893ce7](https://savrn.com/models/thalovant-m2v-intents/versions/064c88893ce7) 2026-09-24 - [fd745b1e59f2](https://savrn.com/models/thalovant-m2v-intents/versions/fd745b1e59f2) 2026-09-20 ## Explore More - [All text classification models](https://savrn.com/models/tasks/text-classification) - [All models under apache-2.0](https://savrn.com/models/licenses/apache-2-0) - [Model comparisons](https://savrn.com/models/comparisons) - [The model directory](https://savrn.com/models) - [Open model prices by host](https://savrn.com/ai-index/pricing/open-models) ## Source - Repository metadata, read 2026-10-04. - [Hugging Face record](https://huggingface.co/thalovant/thalovant-m2v-intents) - [How the hub is built](https://savrn.com/model-hub/methodology)