TralalLM-50M
Released by Tralalabs in 2026, TralalLM-50M is an chat model. TralalLM-50M is an open-weights chat model.
by Tralalabs
Best for
Ways to use TralalLM-50M in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Tralalabs API key. osFoundry discovers TralalLM-50M 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
TralalLM-50M 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.
TralalLM-50M vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TralalLM-50M
Is TralalLM-50M free to use?
TralalLM-50M 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 TralalLM-50M 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 TralalLM-50M locally?
Yes. TralalLM-50M is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TralalLM-50M best at?
TralalLM-50M is well-suited to text generation.
How do I use TralalLM-50M in osFoundry?
Paste your Tralalabs API key in the key dialog (or deploy the open weights for self-hostable models), assign TralalLM-50M to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Tralalabs on April 29, 2026. Source: https://huggingface.co/Tralalabs/TralalLM-50M