Kimi-K2.6-JANGTQ_3L
Deviad's Kimi-K2.6-JANGTQ_3L is a chat model. Kimi-K2.6-JANGTQ_3L is an open-weights chat model.
by Deviad
Best for
Ways to use Kimi-K2.6-JANGTQ_3L in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your Deviad API key. osFoundry discovers Kimi-K2.6-JANGTQ_3L 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
Kimi-K2.6-JANGTQ_3L 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.
Kimi-K2.6-JANGTQ_3L vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Kimi-K2.6-JANGTQ_3L
Is Kimi-K2.6-JANGTQ_3L free to use?
Kimi-K2.6-JANGTQ_3L 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 Kimi-K2.6-JANGTQ_3L 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 Kimi-K2.6-JANGTQ_3L locally?
Yes. Kimi-K2.6-JANGTQ_3L is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Kimi-K2.6-JANGTQ_3L best at?
Kimi-K2.6-JANGTQ_3L is well-suited to text generation.
How do I use Kimi-K2.6-JANGTQ_3L in osFoundry?
Paste your Deviad API key in the key dialog (or deploy the open weights for self-hostable models), assign Kimi-K2.6-JANGTQ_3L to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by Deviad on April 29, 2026. Source: https://huggingface.co/Deviad/Kimi-K2.6-JANGTQ_3L