Darwin-36B-Opus
Darwin-36B-Opus is a 36 billion parameter chat model from FINAL-Bench, released April 22, 2026. Darwin-36B-Opus is an open-weights chat model with roughly 36 billion parameters.
by FINAL-Bench · 36B parameters
Best for
Ways to use Darwin-36B-Opus in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your FINAL-Bench API key. osFoundry discovers Darwin-36B-Opus 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
Darwin-36B-Opus 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 Darwin-36B-Opus
Darwin-36B-Opus runs on a 24GB consumer or workstation GPU (~22 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~87 GB).
Darwin-36B-Opus vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Darwin-36B-Opus
Is Darwin-36B-Opus free to use?
Darwin-36B-Opus 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 Darwin-36B-Opus 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 Darwin-36B-Opus need?
Approximately 22 GB at Q4 quantisation, or 87 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Darwin-36B-Opus locally?
Yes. Darwin-36B-Opus is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Darwin-36B-Opus best at?
Darwin-36B-Opus is well-suited to text generation.
How do I use Darwin-36B-Opus in osFoundry?
Paste your FINAL-Bench API key in the key dialog (or deploy the open weights for self-hostable models), assign Darwin-36B-Opus to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by FINAL-Bench on April 22, 2026. Source: https://huggingface.co/FINAL-Bench/Darwin-36B-Opus