llama-68m
llama-68m is a chat model from SystemAdmin123, released January 31, 2025. llama-68m is an open-weights chat model.
by SystemAdmin123
Best for
Ways to use llama-68m in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your SystemAdmin123 API key. osFoundry discovers llama-68m 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
llama-68m 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.
llama-68m vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama-68m
Is llama-68m free to use?
llama-68m 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 llama-68m 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 llama-68m locally?
Yes. llama-68m is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama-68m best at?
llama-68m is well-suited to text generation.
How do I use llama-68m in osFoundry?
Paste your SystemAdmin123 API key in the key dialog (or deploy the open weights for self-hostable models), assign llama-68m to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by SystemAdmin123 on January 31, 2025. Source: https://huggingface.co/SystemAdmin123/llama-68m