parti_3_full
Built by bunsenfeng, parti_3_full is an chat model. parti_3_full is an open-weights chat model.
by bunsenfeng
Best for
Ways to use parti_3_full in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bunsenfeng API key. osFoundry discovers parti_3_full 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
parti_3_full 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.
parti_3_full vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about parti_3_full
Is parti_3_full free to use?
parti_3_full 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 parti_3_full 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 parti_3_full locally?
Yes. parti_3_full is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is parti_3_full best at?
parti_3_full is well-suited to text generation.
How do I use parti_3_full in osFoundry?
Paste your bunsenfeng API key in the key dialog (or deploy the open weights for self-hostable models), assign parti_3_full to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bunsenfeng on December 12, 2025. Source: https://huggingface.co/bunsenfeng/parti_3_full