ruri-v3-30m
Released by cl-nagoya in 2025, ruri-v3-30m is an embedding model. ruri-v3-30m is an open-weights embed model.
by cl-nagoya
Best for
Ways to use ruri-v3-30m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your cl-nagoya API key. osFoundry discovers ruri-v3-30m automatically — assign it to a Maestro role (router, direct, orchestrator, or fallback) in the Pipeline tab and it is live in every chat. Your key, your provider account — no token markup.
Deploy a dedicated endpoint
ruri-v3-30m is open-weights — run it locally for free, or deploy a dedicated GPU endpoint in your workspace for reserved capacity with no rate limits.
Use it in a Room App
Room Apps declare AI features in their manifest, then call them with invokeAI:
import { invokeAI } from '@osfoundry/app-sdk'
// 'summarize' is an AI feature declared in your app manifest.
const result = await invokeAI('summarize', userText)
Call it from your own apps
Once a model is wired into your workspace you can host it as an API and reach it from your own services, scripts, or CI — outside osFoundry.
ruri-v3-30m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ruri-v3-30m
Is ruri-v3-30m free to use?
ruri-v3-30m is free to run locally on your own hardware. Hosted access through osFoundry is metered (input Free (local), output Free (local)). You can switch between local and hosted at any time.
Can I use ruri-v3-30m commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run ruri-v3-30m locally?
Yes. ruri-v3-30m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ruri-v3-30m best at?
ruri-v3-30m is well-suited to sentence similarity.
How do I use ruri-v3-30m in osFoundry?
Paste your cl-nagoya API key in the key dialog (or deploy the open weights for self-hostable models), assign ruri-v3-30m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by cl-nagoya on April 7, 2025. Source: https://huggingface.co/cl-nagoya/ruri-v3-30m