Apriel-1.5-15b-Thinker
Apriel-1.5-15b-Thinker (ServiceNow-AI, 2025) is a 15 billion parameter image-generation model. Apriel-1.5-15b-Thinker is an open-weights image model with roughly 15 billion parameters.
by ServiceNow-AI · 15B parameters
Best for
Ways to use Apriel-1.5-15b-Thinker in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ServiceNow-AI API key. osFoundry discovers Apriel-1.5-15b-Thinker 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
Apriel-1.5-15b-Thinker 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 Apriel-1.5-15b-Thinker
Apriel-1.5-15b-Thinker runs on a single 16GB consumer GPU (~9 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~36 GB).
Apriel-1.5-15b-Thinker vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Apriel-1.5-15b-Thinker
Is Apriel-1.5-15b-Thinker free to use?
Apriel-1.5-15b-Thinker 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 Apriel-1.5-15b-Thinker 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 Apriel-1.5-15b-Thinker need?
Approximately 9 GB at Q4 quantisation, or 36 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Apriel-1.5-15b-Thinker locally?
Yes. Apriel-1.5-15b-Thinker is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Apriel-1.5-15b-Thinker best at?
Apriel-1.5-15b-Thinker is well-suited to image text to text.
How do I use Apriel-1.5-15b-Thinker in osFoundry?
Paste your ServiceNow-AI API key in the key dialog (or deploy the open weights for self-hostable models), assign Apriel-1.5-15b-Thinker to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ServiceNow-AI on September 24, 2025. Source: https://huggingface.co/ServiceNow-AI/Apriel-1.5-15b-Thinker