ResNet-Mixed-Convolution
Released by qualcomm in 2025, ResNet-Mixed-Convolution is an video-generation model. ResNet-Mixed-Convolution is an open-weights video model.
by qualcomm
Best for
Ways to use ResNet-Mixed-Convolution in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your qualcomm API key. osFoundry discovers ResNet-Mixed-Convolution 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
ResNet-Mixed-Convolution 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.
ResNet-Mixed-Convolution vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ResNet-Mixed-Convolution
Is ResNet-Mixed-Convolution free to use?
ResNet-Mixed-Convolution 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 ResNet-Mixed-Convolution commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
Can I run ResNet-Mixed-Convolution locally?
Yes. ResNet-Mixed-Convolution is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ResNet-Mixed-Convolution best at?
ResNet-Mixed-Convolution is well-suited to video classification.
How do I use ResNet-Mixed-Convolution in osFoundry?
Paste your qualcomm API key in the key dialog (or deploy the open weights for self-hostable models), assign ResNet-Mixed-Convolution to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by qualcomm on January 3, 2025. Source: https://huggingface.co/qualcomm/ResNet-Mixed-Convolution