acmo_3.5_9B
acmo_3.5_9B is a 9 billion parameter image-generation model from epalenque, released April 28, 2026. acmo_3.5_9B is an open-weights image model with roughly 9 billion parameters.
by epalenque · 9B parameters
Best for
Ways to use acmo_3.5_9B in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your epalenque API key. osFoundry discovers acmo_3.5_9B 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
acmo_3.5_9B 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 acmo_3.5_9B
acmo_3.5_9B runs on a single 16GB consumer GPU (~6 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~22 GB).
acmo_3.5_9B vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about acmo_3.5_9B
Is acmo_3.5_9B free to use?
acmo_3.5_9B 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 acmo_3.5_9B 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 acmo_3.5_9B need?
Approximately 6 GB at Q4 quantisation, or 22 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run acmo_3.5_9B locally?
Yes. acmo_3.5_9B is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is acmo_3.5_9B best at?
acmo_3.5_9B is well-suited to image text to text.
How do I use acmo_3.5_9B in osFoundry?
Paste your epalenque API key in the key dialog (or deploy the open weights for self-hostable models), assign acmo_3.5_9B to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by epalenque on April 28, 2026. Source: https://huggingface.co/epalenque/acmo_3.5_9B