act_trained_on_leed-office-red-brick-circle-to-square
Released by neiljay in 2026, act_trained_on_leed-office-red-brick-circle-to-square is an chat model. act_trained_on_leed-office-red-brick-circle-to-square is an open-weights chat model.
by neiljay
Best for
Ways to use act_trained_on_leed-office-red-brick-circle-to-square in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your neiljay API key. osFoundry discovers act_trained_on_leed-office-red-brick-circle-to-square 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
act_trained_on_leed-office-red-brick-circle-to-square 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.
act_trained_on_leed-office-red-brick-circle-to-square vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about act_trained_on_leed-office-red-brick-circle-to-square
Is act_trained_on_leed-office-red-brick-circle-to-square free to use?
act_trained_on_leed-office-red-brick-circle-to-square 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 act_trained_on_leed-office-red-brick-circle-to-square 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 act_trained_on_leed-office-red-brick-circle-to-square locally?
Yes. act_trained_on_leed-office-red-brick-circle-to-square is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is act_trained_on_leed-office-red-brick-circle-to-square best at?
act_trained_on_leed-office-red-brick-circle-to-square is well-suited to robotics.
How do I use act_trained_on_leed-office-red-brick-circle-to-square in osFoundry?
Paste your neiljay API key in the key dialog (or deploy the open weights for self-hostable models), assign act_trained_on_leed-office-red-brick-circle-to-square to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by neiljay on February 22, 2026. Source: https://huggingface.co/neiljay/act_trained_on_leed-office-red-brick-circle-to-square