dual-lm-470m
dual-lm-470m (ltg, 2026) is an chat model. dual-lm-470m is an open-weights chat model.
by ltg
Best for
Ways to use dual-lm-470m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ltg API key. osFoundry discovers dual-lm-470m 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
dual-lm-470m 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.
dual-lm-470m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about dual-lm-470m
Is dual-lm-470m free to use?
dual-lm-470m 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 dual-lm-470m 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 dual-lm-470m locally?
Yes. dual-lm-470m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is dual-lm-470m best at?
dual-lm-470m is well-suited to text generation.
How do I use dual-lm-470m in osFoundry?
Paste your ltg API key in the key dialog (or deploy the open weights for self-hostable models), assign dual-lm-470m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ltg on January 27, 2026. Source: https://huggingface.co/ltg/dual-lm-470m