RAGED_Llama
FinaPolat's RAGED_Llama is a chat model. RAGED_Llama is an open-weights chat model.
by FinaPolat
Best for
Ways to use RAGED_Llama in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FinaPolat API key. osFoundry discovers RAGED_Llama 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
RAGED_Llama 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.
RAGED_Llama vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about RAGED_Llama
Is RAGED_Llama free to use?
RAGED_Llama 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 RAGED_Llama 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 RAGED_Llama locally?
Yes. RAGED_Llama is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is RAGED_Llama best at?
RAGED_Llama is well-suited to text generation.
How do I use RAGED_Llama in osFoundry?
Paste your FinaPolat API key in the key dialog (or deploy the open weights for self-hostable models), assign RAGED_Llama to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FinaPolat on April 13, 2026. Source: https://huggingface.co/FinaPolat/RAGED_Llama