Maestro-REMI-bpe20k
Built by NathanFradet, Maestro-REMI-bpe20k is an chat model. Maestro-REMI-bpe20k is an open-weights chat model.
by NathanFradet
Best for
Ways to use Maestro-REMI-bpe20k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your NathanFradet API key. osFoundry discovers Maestro-REMI-bpe20k 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
Maestro-REMI-bpe20k 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.
Maestro-REMI-bpe20k vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Maestro-REMI-bpe20k
Is Maestro-REMI-bpe20k free to use?
Maestro-REMI-bpe20k 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 Maestro-REMI-bpe20k 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 Maestro-REMI-bpe20k locally?
Yes. Maestro-REMI-bpe20k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Maestro-REMI-bpe20k best at?
Maestro-REMI-bpe20k is well-suited to text generation.
How do I use Maestro-REMI-bpe20k in osFoundry?
Paste your NathanFradet API key in the key dialog (or deploy the open weights for self-hostable models), assign Maestro-REMI-bpe20k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by NathanFradet on October 10, 2023. Source: https://huggingface.co/NathanFradet/Maestro-REMI-bpe20k