Prime_690M
Prime_690M (AI4Protein, 2024) is an embedding model. Prime_690M is an open-weights embed model.
by AI4Protein
Best for
Ways to use Prime_690M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AI4Protein API key. osFoundry discovers Prime_690M 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
Prime_690M 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.
Prime_690M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Prime_690M
Is Prime_690M free to use?
Prime_690M 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 Prime_690M 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 Prime_690M locally?
Yes. Prime_690M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Prime_690M best at?
Prime_690M is well-suited to feature extraction.
How do I use Prime_690M in osFoundry?
Paste your AI4Protein API key in the key dialog (or deploy the open weights for self-hostable models), assign Prime_690M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AI4Protein on July 24, 2024. Source: https://huggingface.co/AI4Protein/Prime_690M