VLM2Vec-LLaVa-Next
Built by TIGER-Lab, VLM2Vec-LLaVa-Next is an image-generation model. VLM2Vec-LLaVa-Next is an open-weights image model.
by TIGER-Lab
Best for
Ways to use VLM2Vec-LLaVa-Next in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your TIGER-Lab API key. osFoundry discovers VLM2Vec-LLaVa-Next 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
VLM2Vec-LLaVa-Next 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.
VLM2Vec-LLaVa-Next vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about VLM2Vec-LLaVa-Next
Is VLM2Vec-LLaVa-Next free to use?
VLM2Vec-LLaVa-Next 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 VLM2Vec-LLaVa-Next 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 VLM2Vec-LLaVa-Next locally?
Yes. VLM2Vec-LLaVa-Next is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is VLM2Vec-LLaVa-Next best at?
VLM2Vec-LLaVa-Next is well-suited to image text to text.
How do I use VLM2Vec-LLaVa-Next in osFoundry?
Paste your TIGER-Lab API key in the key dialog (or deploy the open weights for self-hostable models), assign VLM2Vec-LLaVa-Next to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by TIGER-Lab on December 11, 2024. Source: https://huggingface.co/TIGER-Lab/VLM2Vec-LLaVa-Next