RockyEmbed_Marco
Built by fermacsys, RockyEmbed_Marco is an embedding model. RockyEmbed_Marco is an open-weights embed model.
by fermacsys
Best for
Ways to use RockyEmbed_Marco in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your fermacsys API key. osFoundry discovers RockyEmbed_Marco 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
RockyEmbed_Marco 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.
RockyEmbed_Marco vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about RockyEmbed_Marco
Is RockyEmbed_Marco free to use?
RockyEmbed_Marco 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 RockyEmbed_Marco 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 RockyEmbed_Marco locally?
Yes. RockyEmbed_Marco is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is RockyEmbed_Marco best at?
RockyEmbed_Marco is well-suited to feature extraction.
How do I use RockyEmbed_Marco in osFoundry?
Paste your fermacsys API key in the key dialog (or deploy the open weights for self-hostable models), assign RockyEmbed_Marco to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by fermacsys on April 14, 2026. Source: https://huggingface.co/fermacsys/RockyEmbed_Marco