parcae-770m
SandyResearch's parcae-770m is a chat model. parcae-770m is an open-weights chat model.
by SandyResearch
Best for
Ways to use parcae-770m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SandyResearch API key. osFoundry discovers parcae-770m 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
parcae-770m 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.
parcae-770m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about parcae-770m
Is parcae-770m free to use?
parcae-770m 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 parcae-770m 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 parcae-770m locally?
Yes. parcae-770m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is parcae-770m best at?
parcae-770m is well-suited to text generation.
How do I use parcae-770m in osFoundry?
Paste your SandyResearch API key in the key dialog (or deploy the open weights for self-hostable models), assign parcae-770m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SandyResearch on April 8, 2026. Source: https://huggingface.co/SandyResearch/parcae-770m