ruri-large-v2
cl-nagoya's ruri-large-v2 is a embedding model. ruri-large-v2 is an open-weights embed model.
by cl-nagoya
Best for
Ways to use ruri-large-v2 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your cl-nagoya API key. osFoundry discovers ruri-large-v2 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-large-v2 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-large-v2 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ruri-large-v2
Is ruri-large-v2 free to use?
ruri-large-v2 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-large-v2 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-large-v2 locally?
Yes. ruri-large-v2 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ruri-large-v2 best at?
ruri-large-v2 is well-suited to sentence similarity.
How do I use ruri-large-v2 in osFoundry?
Paste your cl-nagoya API key in the key dialog (or deploy the open weights for self-hostable models), assign ruri-large-v2 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 December 6, 2024. Source: https://huggingface.co/cl-nagoya/ruri-large-v2