MUSE-news_retrain
Released by muse-bench in 2024, MUSE-news_retrain is an chat model. MUSE-news_retrain is an open-weights chat model.
by muse-bench
Best for
Ways to use MUSE-news_retrain in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your muse-bench API key. osFoundry discovers MUSE-news_retrain 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
MUSE-news_retrain 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.
MUSE-news_retrain vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MUSE-news_retrain
Is MUSE-news_retrain free to use?
MUSE-news_retrain 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 MUSE-news_retrain 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 MUSE-news_retrain locally?
Yes. MUSE-news_retrain is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MUSE-news_retrain best at?
MUSE-news_retrain is well-suited to text generation.
How do I use MUSE-news_retrain in osFoundry?
Paste your muse-bench API key in the key dialog (or deploy the open weights for self-hostable models), assign MUSE-news_retrain to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by muse-bench on May 31, 2024. Source: https://huggingface.co/muse-bench/MUSE-news_retrain