AdastraV20_Chenkin
Released by Gareji in 2025, AdastraV20_Chenkin is an chat model. AdastraV20_Chenkin is an open-weights chat model.
by Gareji
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use AdastraV20_Chenkin in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Gareji API key. osFoundry discovers AdastraV20_Chenkin 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
AdastraV20_Chenkin 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.
AdastraV20_Chenkin vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about AdastraV20_Chenkin
Is AdastraV20_Chenkin free to use?
AdastraV20_Chenkin 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 AdastraV20_Chenkin 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 AdastraV20_Chenkin locally?
Yes. AdastraV20_Chenkin is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is AdastraV20_Chenkin best at?
AdastraV20_Chenkin is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use AdastraV20_Chenkin in osFoundry?
Paste your Gareji API key in the key dialog (or deploy the open weights for self-hostable models), assign AdastraV20_Chenkin to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Gareji on December 31, 2025. Source: https://huggingface.co/Gareji/AdastraV20_Chenkin