TeCoA4-ViT-B-32-laion2B-s34B-b79K
chs20's TeCoA4-ViT-B-32-laion2B-s34B-b79K packs 2 billion parameters into a image-generation model. TeCoA4-ViT-B-32-laion2B-s34B-b79K is an open-weights image model with roughly 2 billion parameters.
by chs20 · 2B parameters
Best for
- zero shot image classification
Ways to use TeCoA4-ViT-B-32-laion2B-s34B-b79K in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your chs20 API key. osFoundry discovers TeCoA4-ViT-B-32-laion2B-s34B-b79K 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
TeCoA4-ViT-B-32-laion2B-s34B-b79K 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 TeCoA4-ViT-B-32-laion2B-s34B-b79K
TeCoA4-ViT-B-32-laion2B-s34B-b79K runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~5 GB).
TeCoA4-ViT-B-32-laion2B-s34B-b79K vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about TeCoA4-ViT-B-32-laion2B-s34B-b79K
Is TeCoA4-ViT-B-32-laion2B-s34B-b79K free to use?
TeCoA4-ViT-B-32-laion2B-s34B-b79K 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 TeCoA4-ViT-B-32-laion2B-s34B-b79K 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 TeCoA4-ViT-B-32-laion2B-s34B-b79K need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run TeCoA4-ViT-B-32-laion2B-s34B-b79K locally?
Yes. TeCoA4-ViT-B-32-laion2B-s34B-b79K is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is TeCoA4-ViT-B-32-laion2B-s34B-b79K best at?
TeCoA4-ViT-B-32-laion2B-s34B-b79K is well-suited to zero shot image classification.
How do I use TeCoA4-ViT-B-32-laion2B-s34B-b79K in osFoundry?
Paste your chs20 API key in the key dialog (or deploy the open weights for self-hostable models), assign TeCoA4-ViT-B-32-laion2B-s34B-b79K to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by chs20 on August 14, 2024. Source: https://huggingface.co/chs20/TeCoA4-ViT-B-32-laion2B-s34B-b79K