KLINEXA-EL1
Released by emylton in 2026, KLINEXA-EL1 is an chat model. KLINEXA-EL1 is an open-weights chat model.
by emylton
Best for
Ways to use KLINEXA-EL1 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your emylton API key. osFoundry discovers KLINEXA-EL1 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
KLINEXA-EL1 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.
KLINEXA-EL1 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about KLINEXA-EL1
Is KLINEXA-EL1 free to use?
KLINEXA-EL1 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 KLINEXA-EL1 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 KLINEXA-EL1 locally?
Yes. KLINEXA-EL1 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is KLINEXA-EL1 best at?
KLINEXA-EL1 is well-suited to text generation.
How do I use KLINEXA-EL1 in osFoundry?
Paste your emylton API key in the key dialog (or deploy the open weights for self-hostable models), assign KLINEXA-EL1 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by emylton on March 18, 2026. Source: https://huggingface.co/emylton/KLINEXA-EL1