LUAR-CRUD
Built by rrivera1849, LUAR-CRUD is an embedding model. LUAR-CRUD is an open-weights embed model.
by rrivera1849
Best for
Ways to use LUAR-CRUD in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your rrivera1849 API key. osFoundry discovers LUAR-CRUD 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
LUAR-CRUD 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.
LUAR-CRUD vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about LUAR-CRUD
Is LUAR-CRUD free to use?
LUAR-CRUD 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 LUAR-CRUD 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 LUAR-CRUD locally?
Yes. LUAR-CRUD is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is LUAR-CRUD best at?
LUAR-CRUD is well-suited to feature extraction.
How do I use LUAR-CRUD in osFoundry?
Paste your rrivera1849 API key in the key dialog (or deploy the open weights for self-hostable models), assign LUAR-CRUD to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by rrivera1849 on September 22, 2023. Source: https://huggingface.co/rrivera1849/LUAR-CRUD