Vedika_3.5_flash
Sheelu1246's Vedika_3.5_flash is a chat model. Vedika_3.5_flash is an open-weights chat model.
by Sheelu1246
Best for
Ways to use Vedika_3.5_flash in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Sheelu1246 API key. osFoundry discovers Vedika_3.5_flash 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
Vedika_3.5_flash 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.
Vedika_3.5_flash vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Vedika_3.5_flash
Is Vedika_3.5_flash free to use?
Vedika_3.5_flash 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 Vedika_3.5_flash 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 Vedika_3.5_flash locally?
Yes. Vedika_3.5_flash is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Vedika_3.5_flash best at?
Vedika_3.5_flash is well-suited to text generation.
How do I use Vedika_3.5_flash in osFoundry?
Paste your Sheelu1246 API key in the key dialog (or deploy the open weights for self-hostable models), assign Vedika_3.5_flash to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Sheelu1246 on April 30, 2026. Source: https://huggingface.co/Sheelu1246/Vedika_3.5_flash