medical_1bmix_m32-f7a64807-not_easy_1e-4_1200
medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 is a chat model from graf, released April 25, 2026. medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 is an open-weights chat model.
by graf
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your graf API key. osFoundry discovers medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 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
medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 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.
medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about medical_1bmix_m32-f7a64807-not_easy_1e-4_1200
Is medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 free to use?
medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 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 medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 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 medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 locally?
Yes. medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 best at?
medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 in osFoundry?
Paste your graf API key in the key dialog (or deploy the open weights for self-hostable models), assign medical_1bmix_m32-f7a64807-not_easy_1e-4_1200 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by graf on April 25, 2026. Source: https://huggingface.co/graf/medical_1bmix_m32-f7a64807-not_easy_1e-4_1200