Xmodel_VLM
Released by XiaoduoAILab in 2024, Xmodel_VLM is an chat model. Xmodel_VLM is an open-weights chat model.
by XiaoduoAILab
Best for
Ways to use Xmodel_VLM in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your XiaoduoAILab API key. osFoundry discovers Xmodel_VLM 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
Xmodel_VLM 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.
Xmodel_VLM vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Xmodel_VLM
Is Xmodel_VLM free to use?
Xmodel_VLM 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 Xmodel_VLM 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 Xmodel_VLM locally?
Yes. Xmodel_VLM is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Xmodel_VLM best at?
Xmodel_VLM is well-suited to text generation.
How do I use Xmodel_VLM in osFoundry?
Paste your XiaoduoAILab API key in the key dialog (or deploy the open weights for self-hostable models), assign Xmodel_VLM to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by XiaoduoAILab on May 16, 2024. Source: https://huggingface.co/XiaoduoAILab/Xmodel_VLM