FastESM2_650
Synthyra's FastESM2_650 is a chat model. FastESM2_650 is an open-weights chat model.
by Synthyra
Best for
Ways to use FastESM2_650 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Synthyra API key. osFoundry discovers FastESM2_650 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
FastESM2_650 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.
FastESM2_650 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about FastESM2_650
Is FastESM2_650 free to use?
FastESM2_650 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 FastESM2_650 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 FastESM2_650 locally?
Yes. FastESM2_650 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is FastESM2_650 best at?
FastESM2_650 is well-suited to fill mask.
How do I use FastESM2_650 in osFoundry?
Paste your Synthyra API key in the key dialog (or deploy the open weights for self-hostable models), assign FastESM2_650 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Synthyra on December 3, 2024. Source: https://huggingface.co/Synthyra/FastESM2_650