MolmoAct-7B-D-LIBERO-Goal-0812
Released by allenai in 2025, MolmoAct-7B-D-LIBERO-Goal-0812 is a 7 billion parameter chat model. MolmoAct-7B-D-LIBERO-Goal-0812 is an open-weights chat model with roughly 7 billion parameters.
by allenai · 7B parameters
Best for
Ways to use MolmoAct-7B-D-LIBERO-Goal-0812 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your allenai API key. osFoundry discovers MolmoAct-7B-D-LIBERO-Goal-0812 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
MolmoAct-7B-D-LIBERO-Goal-0812 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 MolmoAct-7B-D-LIBERO-Goal-0812
MolmoAct-7B-D-LIBERO-Goal-0812 runs on a single 16GB consumer GPU (~5 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~17 GB).
MolmoAct-7B-D-LIBERO-Goal-0812 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about MolmoAct-7B-D-LIBERO-Goal-0812
Is MolmoAct-7B-D-LIBERO-Goal-0812 free to use?
MolmoAct-7B-D-LIBERO-Goal-0812 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 MolmoAct-7B-D-LIBERO-Goal-0812 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 MolmoAct-7B-D-LIBERO-Goal-0812 need?
Approximately 5 GB at Q4 quantisation, or 17 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run MolmoAct-7B-D-LIBERO-Goal-0812 locally?
Yes. MolmoAct-7B-D-LIBERO-Goal-0812 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is MolmoAct-7B-D-LIBERO-Goal-0812 best at?
MolmoAct-7B-D-LIBERO-Goal-0812 is well-suited to robotics.
How do I use MolmoAct-7B-D-LIBERO-Goal-0812 in osFoundry?
Paste your allenai API key in the key dialog (or deploy the open weights for self-hostable models), assign MolmoAct-7B-D-LIBERO-Goal-0812 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by allenai on August 15, 2025. Source: https://huggingface.co/allenai/MolmoAct-7B-D-LIBERO-Goal-0812