Xmodel_LM
XiaoduoAILab's Xmodel_LM is a chat model. Xmodel_LM is an open-weights chat model.
by XiaoduoAILab
Best for
Ways to use Xmodel_LM in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your XiaoduoAILab API key. osFoundry discovers Xmodel_LM 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_LM 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_LM vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Xmodel_LM
Is Xmodel_LM free to use?
Xmodel_LM 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_LM 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_LM locally?
Yes. Xmodel_LM is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Xmodel_LM best at?
Xmodel_LM is well-suited to text generation.
How do I use Xmodel_LM in osFoundry?
Paste your XiaoduoAILab API key in the key dialog (or deploy the open weights for self-hostable models), assign Xmodel_LM 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 June 5, 2024. Source: https://huggingface.co/XiaoduoAILab/Xmodel_LM