Kimi-K2.6-JANGTQ_K
Released by OsaurusAI in 2026, Kimi-K2.6-JANGTQ_K is an image-generation model. Kimi-K2.6-JANGTQ_K is an open-weights image model.
by OsaurusAI
Best for
Ways to use Kimi-K2.6-JANGTQ_K in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your OsaurusAI API key. osFoundry discovers Kimi-K2.6-JANGTQ_K 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_K 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_K 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_K
Is Kimi-K2.6-JANGTQ_K free to use?
Kimi-K2.6-JANGTQ_K 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_K 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_K locally?
Yes. Kimi-K2.6-JANGTQ_K 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_K best at?
Kimi-K2.6-JANGTQ_K is well-suited to image text to text.
How do I use Kimi-K2.6-JANGTQ_K in osFoundry?
Paste your OsaurusAI API key in the key dialog (or deploy the open weights for self-hostable models), assign Kimi-K2.6-JANGTQ_K to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by OsaurusAI on May 13, 2026. Source: https://huggingface.co/OsaurusAI/Kimi-K2.6-JANGTQ_K