VAETKI-20B-A2B
VAETKI-20B-A2B is a 20 billion parameter chat model from nc-ai-consortium, released December 29, 2025. VAETKI-20B-A2B is an open-weights chat model with roughly 20 billion parameters.
by nc-ai-consortium · 20B parameters
Best for
Ways to use VAETKI-20B-A2B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nc-ai-consortium API key. osFoundry discovers VAETKI-20B-A2B 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
VAETKI-20B-A2B 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.
What hardware can run VAETKI-20B-A2B
VAETKI-20B-A2B runs on a single 16GB consumer GPU (~12 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~48 GB).
VAETKI-20B-A2B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about VAETKI-20B-A2B
Is VAETKI-20B-A2B free to use?
VAETKI-20B-A2B 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 VAETKI-20B-A2B commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does VAETKI-20B-A2B need?
Approximately 12 GB at Q4 quantisation, or 48 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run VAETKI-20B-A2B locally?
Yes. VAETKI-20B-A2B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is VAETKI-20B-A2B best at?
VAETKI-20B-A2B is well-suited to text generation.
How do I use VAETKI-20B-A2B in osFoundry?
Paste your nc-ai-consortium API key in the key dialog (or deploy the open weights for self-hostable models), assign VAETKI-20B-A2B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nc-ai-consortium on December 29, 2025. Source: https://huggingface.co/nc-ai-consortium/VAETKI-20B-A2B