trainer_output
linsong8208's trainer_output is a chat model. trainer_output is an open-weights chat model.
by linsong8208
Best for
Ways to use trainer_output in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your linsong8208 API key. osFoundry discovers trainer_output 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
trainer_output 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.
trainer_output vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| trainer_output | linsong8208 | — | — | Free (local) | Yes |
| kronos-mlx-base | gxcsoccer | — | — | Free (local) | Yes |
| fin_latn_1000mb | goldfish-models | — | — | Free (local) | Yes |
| eloftr | image-matching-models | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about trainer_output
Is trainer_output free to use?
trainer_output 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 trainer_output 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 trainer_output locally?
Yes. trainer_output is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is trainer_output best at?
trainer_output is well-suited to text generation.
How do I use trainer_output in osFoundry?
Paste your linsong8208 API key in the key dialog (or deploy the open weights for self-hostable models), assign trainer_output to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by linsong8208 on April 18, 2026. Source: https://huggingface.co/linsong8208/trainer_output