b1ade-embed
w601sxs's b1ade-embed is a embedding model. b1ade-embed is an open-weights embed model.
by w601sxs
Best for
Ways to use b1ade-embed in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your w601sxs API key. osFoundry discovers b1ade-embed 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
b1ade-embed 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.
b1ade-embed vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about b1ade-embed
Is b1ade-embed free to use?
b1ade-embed 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 b1ade-embed 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 b1ade-embed locally?
Yes. b1ade-embed is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is b1ade-embed best at?
b1ade-embed is well-suited to feature extraction.
How do I use b1ade-embed in osFoundry?
Paste your w601sxs API key in the key dialog (or deploy the open weights for self-hostable models), assign b1ade-embed to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by w601sxs on May 14, 2024. Source: https://huggingface.co/w601sxs/b1ade-embed