llmdet_base
iSEE-Laboratory's llmdet_base is a chat model. llmdet_base is an open-weights chat model.
by iSEE-Laboratory
Best for
- zero shot object detection
Ways to use llmdet_base in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your iSEE-Laboratory API key. osFoundry discovers llmdet_base 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
llmdet_base 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.
llmdet_base vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llmdet_base
Is llmdet_base free to use?
llmdet_base 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 llmdet_base 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 llmdet_base locally?
Yes. llmdet_base is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llmdet_base best at?
llmdet_base is well-suited to zero shot object detection.
How do I use llmdet_base in osFoundry?
Paste your iSEE-Laboratory API key in the key dialog (or deploy the open weights for self-hostable models), assign llmdet_base to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by iSEE-Laboratory on May 30, 2025. Source: https://huggingface.co/iSEE-Laboratory/llmdet_base