Vaani-LID_v0
ARTPARK-IISc's Vaani-LID_v0 is a embedding model. Vaani-LID_v0 is an open-weights embed model.
by ARTPARK-IISc
Best for
Ways to use Vaani-LID_v0 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ARTPARK-IISc API key. osFoundry discovers Vaani-LID_v0 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
Vaani-LID_v0 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.
Vaani-LID_v0 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Vaani-LID_v0
Is Vaani-LID_v0 free to use?
Vaani-LID_v0 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 Vaani-LID_v0 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 Vaani-LID_v0 locally?
Yes. Vaani-LID_v0 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Vaani-LID_v0 best at?
Vaani-LID_v0 is well-suited to feature extraction.
How do I use Vaani-LID_v0 in osFoundry?
Paste your ARTPARK-IISc API key in the key dialog (or deploy the open weights for self-hostable models), assign Vaani-LID_v0 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ARTPARK-IISc on February 5, 2026. Source: https://huggingface.co/ARTPARK-IISc/Vaani-LID_v0