Ring-1T-FP8
Ring-1T-FP8 is a chat model from inclusionAI, released October 11, 2025. Ring-1T-FP8 is an open-weights chat model.
by inclusionAI
Best for
Ways to use Ring-1T-FP8 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your inclusionAI API key. osFoundry discovers Ring-1T-FP8 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
Ring-1T-FP8 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.
Ring-1T-FP8 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Ring-1T-FP8
Is Ring-1T-FP8 free to use?
Ring-1T-FP8 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 Ring-1T-FP8 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 Ring-1T-FP8 locally?
Yes. Ring-1T-FP8 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Ring-1T-FP8 best at?
Ring-1T-FP8 is well-suited to text generation.
How do I use Ring-1T-FP8 in osFoundry?
Paste your inclusionAI API key in the key dialog (or deploy the open weights for self-hostable models), assign Ring-1T-FP8 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by inclusionAI on October 11, 2025. Source: https://huggingface.co/inclusionAI/Ring-1T-FP8