mnasnet_100.rmsp_in1k
mnasnet_100.rmsp_in1k (timm, 2022) is an image-generation model. mnasnet_100.rmsp_in1k is an open-weights image model.
by timm
Best for
Ways to use mnasnet_100.rmsp_in1k in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timm API key. osFoundry discovers mnasnet_100.rmsp_in1k 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
mnasnet_100.rmsp_in1k 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.
mnasnet_100.rmsp_in1k vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| mnasnet_100.rmsp_in1k | timm | — | — | Free (local) | Yes |
| tiny-random-llama4 | optimum-intel-internal-testing | — | — | Free (local) | Yes |
| FLUX.1-Krea-dev | black-forest-labs | — | — | Free (local) | Yes |
| Chroma1-HD | lodestones | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about mnasnet_100.rmsp_in1k
Is mnasnet_100.rmsp_in1k free to use?
mnasnet_100.rmsp_in1k 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 mnasnet_100.rmsp_in1k 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 mnasnet_100.rmsp_in1k locally?
Yes. mnasnet_100.rmsp_in1k is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is mnasnet_100.rmsp_in1k best at?
mnasnet_100.rmsp_in1k is well-suited to image classification.
How do I use mnasnet_100.rmsp_in1k in osFoundry?
Paste your timm API key in the key dialog (or deploy the open weights for self-hostable models), assign mnasnet_100.rmsp_in1k to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by timm on December 13, 2022. Source: https://huggingface.co/timm/mnasnet_100.rmsp_in1k