ad1b983-default_SubclassDetection
ad1b983-default_SubclassDetection (quanda-bench-test, 2026) is an chat model. ad1b983-default_SubclassDetection is an open-weights chat model.
by quanda-bench-test
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use ad1b983-default_SubclassDetection in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your quanda-bench-test API key. osFoundry discovers ad1b983-default_SubclassDetection 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
ad1b983-default_SubclassDetection 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.
ad1b983-default_SubclassDetection vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| ad1b983-default_SubclassDetection | quanda-bench-test | — | — | Free (local) | Yes |
| llm-jp-3-150m | llm-jp | — | — | Free (local) | Yes |
| tiny-random-qwen3moe | optimum-intel-internal-testing | — | — | Free (local) | Yes |
| flux-loras | alexrzem | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ad1b983-default_SubclassDetection
Is ad1b983-default_SubclassDetection free to use?
ad1b983-default_SubclassDetection 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 ad1b983-default_SubclassDetection 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 ad1b983-default_SubclassDetection locally?
Yes. ad1b983-default_SubclassDetection is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ad1b983-default_SubclassDetection best at?
ad1b983-default_SubclassDetection is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use ad1b983-default_SubclassDetection in osFoundry?
Paste your quanda-bench-test API key in the key dialog (or deploy the open weights for self-hostable models), assign ad1b983-default_SubclassDetection to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by quanda-bench-test on April 7, 2026. Source: https://huggingface.co/quanda-bench-test/ad1b983-default_SubclassDetection