D3LM-from-nt
Released by Hengchang-Liu in 2026, D3LM-from-nt is an chat model. D3LM-from-nt is an open-weights chat model.
by Hengchang-Liu
Best for
Ways to use D3LM-from-nt in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Hengchang-Liu API key. osFoundry discovers D3LM-from-nt 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
D3LM-from-nt 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.
D3LM-from-nt vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about D3LM-from-nt
Is D3LM-from-nt free to use?
D3LM-from-nt 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 D3LM-from-nt 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 D3LM-from-nt locally?
Yes. D3LM-from-nt is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is D3LM-from-nt best at?
D3LM-from-nt is well-suited to text generation.
How do I use D3LM-from-nt in osFoundry?
Paste your Hengchang-Liu API key in the key dialog (or deploy the open weights for self-hostable models), assign D3LM-from-nt to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Hengchang-Liu on March 2, 2026. Source: https://huggingface.co/Hengchang-Liu/D3LM-from-nt