Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed
Released by nicoboss in 2025, Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed is a 24 billion parameter image-generation model. Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed is an open-weights image model with roughly 24 billion parameters.
by nicoboss · 24B parameters
Best for
Ways to use Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your nicoboss API key. osFoundry discovers Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed 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
Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed 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 Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed
Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed 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).
Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed
Is Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed free to use?
Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed 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 Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed 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 Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed need?
Approximately 15 GB at Q4 quantisation, or 58 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed locally?
Yes. Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed best at?
Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed is well-suited to image text to text.
How do I use Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed in osFoundry?
Paste your nicoboss API key in the key dialog (or deploy the open weights for self-hostable models), assign Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by nicoboss on June 20, 2025. Source: https://huggingface.co/nicoboss/Mistral-Small-3.2-24B-Instruct-2506-llamacppfixed