bdb919e-default_ClassDetection
Built by quanda-bench-test, bdb919e-default_ClassDetection is an chat model. bdb919e-default_ClassDetection 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 bdb919e-default_ClassDetection in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your quanda-bench-test API key. osFoundry discovers bdb919e-default_ClassDetection 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
bdb919e-default_ClassDetection 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.
bdb919e-default_ClassDetection vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| bdb919e-default_ClassDetection | quanda-bench-test | — | — | Free (local) | Yes |
| GA_Guard_Core | GeneralAnalysis | — | — | Free (local) | Yes |
| dots.llm1.inst | rednote-hilab | — | — | Free (local) | Yes |
| cwm | facebook | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about bdb919e-default_ClassDetection
Is bdb919e-default_ClassDetection free to use?
bdb919e-default_ClassDetection 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 bdb919e-default_ClassDetection 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 bdb919e-default_ClassDetection locally?
Yes. bdb919e-default_ClassDetection is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is bdb919e-default_ClassDetection best at?
bdb919e-default_ClassDetection is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use bdb919e-default_ClassDetection in osFoundry?
Paste your quanda-bench-test API key in the key dialog (or deploy the open weights for self-hostable models), assign bdb919e-default_ClassDetection 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 11, 2026. Source: https://huggingface.co/quanda-bench-test/bdb919e-default_ClassDetection