Kimi-K2-Thinking-MLX-4.25bit
Built by inferencerlabs, Kimi-K2-Thinking-MLX-4.25bit is an chat model. Kimi-K2-Thinking-MLX-4.25bit is an open-weights chat model.
by inferencerlabs
Best for
Ways to use Kimi-K2-Thinking-MLX-4.25bit in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your inferencerlabs API key. osFoundry discovers Kimi-K2-Thinking-MLX-4.25bit 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-Thinking-MLX-4.25bit 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-Thinking-MLX-4.25bit 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-Thinking-MLX-4.25bit
Is Kimi-K2-Thinking-MLX-4.25bit free to use?
Kimi-K2-Thinking-MLX-4.25bit 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-Thinking-MLX-4.25bit 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-Thinking-MLX-4.25bit locally?
Yes. Kimi-K2-Thinking-MLX-4.25bit is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Kimi-K2-Thinking-MLX-4.25bit best at?
Kimi-K2-Thinking-MLX-4.25bit is well-suited to text generation.
How do I use Kimi-K2-Thinking-MLX-4.25bit in osFoundry?
Paste your inferencerlabs API key in the key dialog (or deploy the open weights for self-hostable models), assign Kimi-K2-Thinking-MLX-4.25bit to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by inferencerlabs on November 7, 2025. Source: https://huggingface.co/inferencerlabs/Kimi-K2-Thinking-MLX-4.25bit