relex_pre
Built by KKrueger, relex_pre is an chat model. relex_pre is an open-weights chat model.
by KKrueger
Best for
Ways to use relex_pre in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your KKrueger API key. osFoundry discovers relex_pre 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
relex_pre 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.
relex_pre vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about relex_pre
Is relex_pre free to use?
relex_pre 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 relex_pre 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 relex_pre locally?
Yes. relex_pre is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is relex_pre best at?
relex_pre is well-suited to text classification.
How do I use relex_pre in osFoundry?
Paste your KKrueger API key in the key dialog (or deploy the open weights for self-hostable models), assign relex_pre to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by KKrueger on April 30, 2025. Source: https://huggingface.co/KKrueger/relex_pre