magictokens_finetune_merged
Released by pbeart in 2025, magictokens_finetune_merged is an chat model. magictokens_finetune_merged is an open-weights chat model.
by pbeart
Best for
Ways to use magictokens_finetune_merged in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your pbeart API key. osFoundry discovers magictokens_finetune_merged 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
magictokens_finetune_merged 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.
magictokens_finetune_merged vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about magictokens_finetune_merged
Is magictokens_finetune_merged free to use?
magictokens_finetune_merged 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 magictokens_finetune_merged 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 magictokens_finetune_merged locally?
Yes. magictokens_finetune_merged is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is magictokens_finetune_merged best at?
magictokens_finetune_merged is well-suited to text generation.
How do I use magictokens_finetune_merged in osFoundry?
Paste your pbeart API key in the key dialog (or deploy the open weights for self-hostable models), assign magictokens_finetune_merged to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by pbeart on October 2, 2025. Source: https://huggingface.co/pbeart/magictokens_finetune_merged