NanoVLM_Init
Built by LMMs-Lab-Speedrun, NanoVLM_Init is an chat model. NanoVLM_Init is an open-weights chat model.
by LMMs-Lab-Speedrun
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use NanoVLM_Init in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your LMMs-Lab-Speedrun API key. osFoundry discovers NanoVLM_Init 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
NanoVLM_Init 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.
NanoVLM_Init vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about NanoVLM_Init
Is NanoVLM_Init free to use?
NanoVLM_Init 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 NanoVLM_Init 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 NanoVLM_Init locally?
Yes. NanoVLM_Init is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is NanoVLM_Init best at?
NanoVLM_Init is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use NanoVLM_Init in osFoundry?
Paste your LMMs-Lab-Speedrun API key in the key dialog (or deploy the open weights for self-hostable models), assign NanoVLM_Init to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by LMMs-Lab-Speedrun on February 23, 2026. Source: https://huggingface.co/LMMs-Lab-Speedrun/NanoVLM_Init