med_assistant_llama3_gguf
joshua802's med_assistant_llama3_gguf is a chat model. med_assistant_llama3_gguf is an open-weights chat model.
by joshua802
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use med_assistant_llama3_gguf in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your joshua802 API key. osFoundry discovers med_assistant_llama3_gguf 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
med_assistant_llama3_gguf 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.
med_assistant_llama3_gguf vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about med_assistant_llama3_gguf
Is med_assistant_llama3_gguf free to use?
med_assistant_llama3_gguf 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 med_assistant_llama3_gguf 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 med_assistant_llama3_gguf locally?
Yes. med_assistant_llama3_gguf is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is med_assistant_llama3_gguf best at?
med_assistant_llama3_gguf is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use med_assistant_llama3_gguf in osFoundry?
Paste your joshua802 API key in the key dialog (or deploy the open weights for self-hostable models), assign med_assistant_llama3_gguf to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by joshua802 on April 20, 2026. Source: https://huggingface.co/joshua802/med_assistant_llama3_gguf