gpt_final_trainer
Released by haninmb in 2026, gpt_final_trainer is an chat model. gpt_final_trainer is an open-weights chat model.
by haninmb
Best for
Ways to use gpt_final_trainer in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your haninmb API key. osFoundry discovers gpt_final_trainer 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
gpt_final_trainer 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.
gpt_final_trainer vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gpt_final_trainer
Is gpt_final_trainer free to use?
gpt_final_trainer 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 gpt_final_trainer 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 gpt_final_trainer locally?
Yes. gpt_final_trainer is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gpt_final_trainer best at?
gpt_final_trainer is well-suited to text generation.
How do I use gpt_final_trainer in osFoundry?
Paste your haninmb API key in the key dialog (or deploy the open weights for self-hostable models), assign gpt_final_trainer to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by haninmb on April 19, 2026. Source: https://huggingface.co/haninmb/gpt_final_trainer