RITA_m
Built by lightonai, RITA_m is an chat model. RITA_m is an open-weights chat model.
by lightonai
Best for
Ways to use RITA_m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your lightonai API key. osFoundry discovers RITA_m 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
RITA_m 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.
RITA_m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about RITA_m
Is RITA_m free to use?
RITA_m 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 RITA_m 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 RITA_m locally?
Yes. RITA_m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is RITA_m best at?
RITA_m is well-suited to text generation.
How do I use RITA_m in osFoundry?
Paste your lightonai API key in the key dialog (or deploy the open weights for self-hostable models), assign RITA_m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by lightonai on April 25, 2022. Source: https://huggingface.co/lightonai/RITA_m