llama3_baseline
llama3_baseline is a chat model from smithblack-0, released March 22, 2026. llama3_baseline is an open-weights chat model.
by smithblack-0
Best for
Ways to use llama3_baseline in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your smithblack-0 API key. osFoundry discovers llama3_baseline 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
llama3_baseline 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.
llama3_baseline vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama3_baseline
Is llama3_baseline free to use?
llama3_baseline 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 llama3_baseline 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 llama3_baseline locally?
Yes. llama3_baseline is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama3_baseline best at?
llama3_baseline is well-suited to text generation.
How do I use llama3_baseline in osFoundry?
Paste your smithblack-0 API key in the key dialog (or deploy the open weights for self-hostable models), assign llama3_baseline to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by smithblack-0 on March 22, 2026. Source: https://huggingface.co/smithblack-0/llama3_baseline