vit_large_patch14_clip_224.openai
Released by timm in 2022, vit_large_patch14_clip_224.openai is an chat model. vit_large_patch14_clip_224.openai is an open-weights chat model.
by timm
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use vit_large_patch14_clip_224.openai in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your timm API key. osFoundry discovers vit_large_patch14_clip_224.openai 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
vit_large_patch14_clip_224.openai 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.
vit_large_patch14_clip_224.openai vs similar models
| Model | Org | Params | Context | Input price | Self-host |
|---|
| vit_large_patch14_clip_224.openai | timm | — | — | Free (local) | Yes |
| GLM-5.1-MXFP4-Q8 | mlx-community | — | — | Free (local) | Yes |
| ner-german-legal | flair | — | — | Free (local) | Yes |
| progen3-339m | Profluent-Bio | — | — | Free (local) | Yes |
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about vit_large_patch14_clip_224.openai
Is vit_large_patch14_clip_224.openai free to use?
vit_large_patch14_clip_224.openai 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 vit_large_patch14_clip_224.openai 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 vit_large_patch14_clip_224.openai locally?
Yes. vit_large_patch14_clip_224.openai is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is vit_large_patch14_clip_224.openai best at?
vit_large_patch14_clip_224.openai is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use vit_large_patch14_clip_224.openai in osFoundry?
Paste your timm API key in the key dialog (or deploy the open weights for self-hostable models), assign vit_large_patch14_clip_224.openai 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 November 1, 2022. Source: https://huggingface.co/timm/vit_large_patch14_clip_224.openai