reve-positions
Released by brain-bzh in 2025, reve-positions is an embedding model. reve-positions is an open-weights embed model.
by brain-bzh
Best for
Ways to use reve-positions in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your brain-bzh API key. osFoundry discovers reve-positions 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
reve-positions 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.
reve-positions vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about reve-positions
Is reve-positions free to use?
reve-positions 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 reve-positions 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 reve-positions locally?
Yes. reve-positions is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is reve-positions best at?
reve-positions is well-suited to feature extraction.
How do I use reve-positions in osFoundry?
Paste your brain-bzh API key in the key dialog (or deploy the open weights for self-hostable models), assign reve-positions to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by brain-bzh on October 31, 2025. Source: https://huggingface.co/brain-bzh/reve-positions