Devstral-Small-2-24B-Opus-Reasoning
Devstral-Small-2-24B-Opus-Reasoning is a 24 billion parameter chat model from adamjen, released March 24, 2026. Devstral-Small-2-24B-Opus-Reasoning is an open-weights chat model with roughly 24 billion parameters.
by adamjen · 24B parameters
Best for
Ways to use Devstral-Small-2-24B-Opus-Reasoning in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your adamjen API key. osFoundry discovers Devstral-Small-2-24B-Opus-Reasoning 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
Devstral-Small-2-24B-Opus-Reasoning 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 Devstral-Small-2-24B-Opus-Reasoning
Devstral-Small-2-24B-Opus-Reasoning 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).
Devstral-Small-2-24B-Opus-Reasoning vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Devstral-Small-2-24B-Opus-Reasoning
Is Devstral-Small-2-24B-Opus-Reasoning free to use?
Devstral-Small-2-24B-Opus-Reasoning 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 Devstral-Small-2-24B-Opus-Reasoning 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 Devstral-Small-2-24B-Opus-Reasoning need?
Approximately 15 GB at Q4 quantisation, or 58 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Devstral-Small-2-24B-Opus-Reasoning locally?
Yes. Devstral-Small-2-24B-Opus-Reasoning is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Devstral-Small-2-24B-Opus-Reasoning best at?
Devstral-Small-2-24B-Opus-Reasoning is well-suited to text generation.
How do I use Devstral-Small-2-24B-Opus-Reasoning in osFoundry?
Paste your adamjen API key in the key dialog (or deploy the open weights for self-hostable models), assign Devstral-Small-2-24B-Opus-Reasoning to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by adamjen on March 24, 2026. Source: https://huggingface.co/adamjen/Devstral-Small-2-24B-Opus-Reasoning