Pillar0-ChestCT
Built by YalaLab, Pillar0-ChestCT is an chat model. Pillar0-ChestCT is an open-weights chat model.
by YalaLab
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Pillar0-ChestCT in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your YalaLab API key. osFoundry discovers Pillar0-ChestCT 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
Pillar0-ChestCT 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.
Pillar0-ChestCT vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Pillar0-ChestCT
Is Pillar0-ChestCT free to use?
Pillar0-ChestCT 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 Pillar0-ChestCT 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 Pillar0-ChestCT locally?
Yes. Pillar0-ChestCT is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Pillar0-ChestCT best at?
Pillar0-ChestCT is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Pillar0-ChestCT in osFoundry?
Paste your YalaLab API key in the key dialog (or deploy the open weights for self-hostable models), assign Pillar0-ChestCT to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by YalaLab on November 18, 2025. Source: https://huggingface.co/YalaLab/Pillar0-ChestCT