MegaLoc
Built by gberton, MegaLoc is an chat model. MegaLoc is an open-weights chat model.
by gberton
Best for
- visual document retrieval
Ways to use MegaLoc in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your gberton API key. osFoundry discovers MegaLoc 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
MegaLoc 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.
MegaLoc vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MegaLoc
Is MegaLoc free to use?
MegaLoc 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 MegaLoc 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 MegaLoc locally?
Yes. MegaLoc is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MegaLoc best at?
MegaLoc is well-suited to visual document retrieval.
How do I use MegaLoc in osFoundry?
Paste your gberton API key in the key dialog (or deploy the open weights for self-hostable models), assign MegaLoc to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by gberton on February 27, 2025. Source: https://huggingface.co/gberton/MegaLoc