adal_v5_raid
adal_v5_raid is a chat model from Shushant, released May 5, 2026. adal_v5_raid is an open-weights chat model.
by Shushant
Best for
Ways to use adal_v5_raid in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Shushant API key. osFoundry discovers adal_v5_raid 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
adal_v5_raid 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.
adal_v5_raid vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about adal_v5_raid
Is adal_v5_raid free to use?
adal_v5_raid 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 adal_v5_raid 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 adal_v5_raid locally?
Yes. adal_v5_raid is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is adal_v5_raid best at?
adal_v5_raid is well-suited to text classification.
How do I use adal_v5_raid in osFoundry?
Paste your Shushant API key in the key dialog (or deploy the open weights for self-hostable models), assign adal_v5_raid to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Shushant on May 5, 2026. Source: https://huggingface.co/Shushant/adal_v5_raid