embedder_collection
embedder_collection is a embedding model from kalle07, released March 3, 2025. embedder_collection is an open-weights embed model.
by kalle07
Best for
Ways to use embedder_collection in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your kalle07 API key. osFoundry discovers embedder_collection 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
embedder_collection 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.
embedder_collection vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about embedder_collection
Is embedder_collection free to use?
embedder_collection 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 embedder_collection 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 embedder_collection locally?
Yes. embedder_collection is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is embedder_collection best at?
embedder_collection is well-suited to sentence similarity.
How do I use embedder_collection in osFoundry?
Paste your kalle07 API key in the key dialog (or deploy the open weights for self-hostable models), assign embedder_collection to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by kalle07 on March 3, 2025. Source: https://huggingface.co/kalle07/embedder_collection