radiant-proud-meadow
Released by JonCenaJ in 2026, radiant-proud-meadow is an chat model. radiant-proud-meadow is an open-weights chat model.
by JonCenaJ
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use radiant-proud-meadow in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your JonCenaJ API key. osFoundry discovers radiant-proud-meadow 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
radiant-proud-meadow 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.
radiant-proud-meadow vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about radiant-proud-meadow
Is radiant-proud-meadow free to use?
radiant-proud-meadow 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 radiant-proud-meadow 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 radiant-proud-meadow locally?
Yes. radiant-proud-meadow is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is radiant-proud-meadow best at?
radiant-proud-meadow is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use radiant-proud-meadow in osFoundry?
Paste your JonCenaJ API key in the key dialog (or deploy the open weights for self-hostable models), assign radiant-proud-meadow to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by JonCenaJ on May 7, 2026. Source: https://huggingface.co/JonCenaJ/radiant-proud-meadow