PlantCaduceus_l32
Built by kuleshov-group, PlantCaduceus_l32 is an embedding model. PlantCaduceus_l32 is an open-weights embed model.
by kuleshov-group
Best for
Ways to use PlantCaduceus_l32 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your kuleshov-group API key. osFoundry discovers PlantCaduceus_l32 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
PlantCaduceus_l32 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.
PlantCaduceus_l32 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about PlantCaduceus_l32
Is PlantCaduceus_l32 free to use?
PlantCaduceus_l32 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 PlantCaduceus_l32 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 PlantCaduceus_l32 locally?
Yes. PlantCaduceus_l32 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is PlantCaduceus_l32 best at?
PlantCaduceus_l32 is well-suited to feature extraction.
How do I use PlantCaduceus_l32 in osFoundry?
Paste your kuleshov-group API key in the key dialog (or deploy the open weights for self-hostable models), assign PlantCaduceus_l32 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by kuleshov-group on May 19, 2024. Source: https://huggingface.co/kuleshov-group/PlantCaduceus_l32