tinyllama-finetuned
tinyllama-finetuned is a chat model from Radhe09, released April 17, 2026. tinyllama-finetuned is an open-weights chat model.
by Radhe09
Best for
Ways to use tinyllama-finetuned in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Radhe09 API key. osFoundry discovers tinyllama-finetuned 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
tinyllama-finetuned 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.
tinyllama-finetuned vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about tinyllama-finetuned
Is tinyllama-finetuned free to use?
tinyllama-finetuned 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 tinyllama-finetuned 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 tinyllama-finetuned locally?
Yes. tinyllama-finetuned is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is tinyllama-finetuned best at?
tinyllama-finetuned is well-suited to text generation.
How do I use tinyllama-finetuned in osFoundry?
Paste your Radhe09 API key in the key dialog (or deploy the open weights for self-hostable models), assign tinyllama-finetuned to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Radhe09 on April 17, 2026. Source: https://huggingface.co/Radhe09/tinyllama-finetuned