llama-midi
Released by dx2102 in 2025, llama-midi is an chat model. llama-midi is an open-weights chat model.
by dx2102
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use llama-midi in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your dx2102 API key. osFoundry discovers llama-midi 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-midi 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-midi vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about llama-midi
Is llama-midi free to use?
llama-midi 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-midi 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-midi locally?
Yes. llama-midi is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is llama-midi best at?
llama-midi is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use llama-midi in osFoundry?
Paste your dx2102 API key in the key dialog (or deploy the open weights for self-hostable models), assign llama-midi to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by dx2102 on February 11, 2025. Source: https://huggingface.co/dx2102/llama-midi