dm-llm-tiny
dm-llm-tiny is a chat model from JBHarris, released March 26, 2026. dm-llm-tiny is an open-weights chat model.
by JBHarris
Best for
Ways to use dm-llm-tiny in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your JBHarris API key. osFoundry discovers dm-llm-tiny 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
dm-llm-tiny 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.
dm-llm-tiny vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about dm-llm-tiny
Is dm-llm-tiny free to use?
dm-llm-tiny 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 dm-llm-tiny 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 dm-llm-tiny locally?
Yes. dm-llm-tiny is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is dm-llm-tiny best at?
dm-llm-tiny is well-suited to text generation.
How do I use dm-llm-tiny in osFoundry?
Paste your JBHarris API key in the key dialog (or deploy the open weights for self-hostable models), assign dm-llm-tiny to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by JBHarris on March 26, 2026. Source: https://huggingface.co/JBHarris/dm-llm-tiny