SabiYarn_MoE_translate_base
Released by Aletheia-ng in 2026, SabiYarn_MoE_translate_base is an chat model. SabiYarn_MoE_translate_base is an open-weights chat model.
by Aletheia-ng
Best for
Ways to use SabiYarn_MoE_translate_base in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Aletheia-ng API key. osFoundry discovers SabiYarn_MoE_translate_base 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
SabiYarn_MoE_translate_base 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.
SabiYarn_MoE_translate_base vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about SabiYarn_MoE_translate_base
Is SabiYarn_MoE_translate_base free to use?
SabiYarn_MoE_translate_base 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 SabiYarn_MoE_translate_base 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 SabiYarn_MoE_translate_base locally?
Yes. SabiYarn_MoE_translate_base is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is SabiYarn_MoE_translate_base best at?
SabiYarn_MoE_translate_base is well-suited to text generation.
How do I use SabiYarn_MoE_translate_base in osFoundry?
Paste your Aletheia-ng API key in the key dialog (or deploy the open weights for self-hostable models), assign SabiYarn_MoE_translate_base to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Aletheia-ng on April 17, 2026. Source: https://huggingface.co/Aletheia-ng/SabiYarn_MoE_translate_base