MS3.2-24B-Magnum-Diamond
Doctor-Shotgun's MS3.2-24B-Magnum-Diamond packs 24 billion parameters into a chat model. MS3.2-24B-Magnum-Diamond is an open-weights chat model with roughly 24 billion parameters.
by Doctor-Shotgun · 24B parameters
Best for
Ways to use MS3.2-24B-Magnum-Diamond in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Doctor-Shotgun API key. osFoundry discovers MS3.2-24B-Magnum-Diamond 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
MS3.2-24B-Magnum-Diamond 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.
What hardware can run MS3.2-24B-Magnum-Diamond
MS3.2-24B-Magnum-Diamond runs on a single 16GB consumer GPU (~15 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~58 GB).
MS3.2-24B-Magnum-Diamond vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MS3.2-24B-Magnum-Diamond
Is MS3.2-24B-Magnum-Diamond free to use?
MS3.2-24B-Magnum-Diamond 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 MS3.2-24B-Magnum-Diamond commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does MS3.2-24B-Magnum-Diamond need?
Approximately 15 GB at Q4 quantisation, or 58 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run MS3.2-24B-Magnum-Diamond locally?
Yes. MS3.2-24B-Magnum-Diamond is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MS3.2-24B-Magnum-Diamond best at?
MS3.2-24B-Magnum-Diamond is well-suited to text generation.
How do I use MS3.2-24B-Magnum-Diamond in osFoundry?
Paste your Doctor-Shotgun API key in the key dialog (or deploy the open weights for self-hostable models), assign MS3.2-24B-Magnum-Diamond to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Doctor-Shotgun on June 22, 2025. Source: https://huggingface.co/Doctor-Shotgun/MS3.2-24B-Magnum-Diamond