Apertus-0.6B-wnorm2up
daslab-testing's Apertus-0.6B-wnorm2up packs 1 billion parameters into a chat model. Apertus-0.6B-wnorm2up is an open-weights chat model with roughly 1 billion parameters.
by daslab-testing · 1B parameters
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Ways to use Apertus-0.6B-wnorm2up in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your daslab-testing API key. osFoundry discovers Apertus-0.6B-wnorm2up 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
Apertus-0.6B-wnorm2up 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 Apertus-0.6B-wnorm2up
Apertus-0.6B-wnorm2up runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
Apertus-0.6B-wnorm2up vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Apertus-0.6B-wnorm2up
Is Apertus-0.6B-wnorm2up free to use?
Apertus-0.6B-wnorm2up 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 Apertus-0.6B-wnorm2up 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 Apertus-0.6B-wnorm2up need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Apertus-0.6B-wnorm2up locally?
Yes. Apertus-0.6B-wnorm2up is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Apertus-0.6B-wnorm2up best at?
Apertus-0.6B-wnorm2up is well-suited to text generation.
How do I use Apertus-0.6B-wnorm2up in osFoundry?
Paste your daslab-testing API key in the key dialog (or deploy the open weights for self-hostable models), assign Apertus-0.6B-wnorm2up to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by daslab-testing on April 30, 2026. Source: https://huggingface.co/daslab-testing/Apertus-0.6B-wnorm2up