ByT5_g2g
Released by AUEB-NLP in 2024, ByT5_g2g is an chat model. ByT5_g2g is an open-weights chat model.
by AUEB-NLP
Best for
Ways to use ByT5_g2g in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your AUEB-NLP API key. osFoundry discovers ByT5_g2g 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
ByT5_g2g 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.
ByT5_g2g vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ByT5_g2g
Is ByT5_g2g free to use?
ByT5_g2g 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 ByT5_g2g 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 ByT5_g2g locally?
Yes. ByT5_g2g is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ByT5_g2g best at?
ByT5_g2g is well-suited to text generation.
How do I use ByT5_g2g in osFoundry?
Paste your AUEB-NLP API key in the key dialog (or deploy the open weights for self-hostable models), assign ByT5_g2g to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by AUEB-NLP on July 1, 2024. Source: https://huggingface.co/AUEB-NLP/ByT5_g2g