Kimi-K2.5-MXFP4-AttnFP8
amd's Kimi-K2.5-MXFP4-AttnFP8 is a chat model. Kimi-K2.5-MXFP4-AttnFP8 is an open-weights chat model.
by amd
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use Kimi-K2.5-MXFP4-AttnFP8 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your amd API key. osFoundry discovers Kimi-K2.5-MXFP4-AttnFP8 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-K2.5-MXFP4-AttnFP8 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-K2.5-MXFP4-AttnFP8 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Kimi-K2.5-MXFP4-AttnFP8
Is Kimi-K2.5-MXFP4-AttnFP8 free to use?
Kimi-K2.5-MXFP4-AttnFP8 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-K2.5-MXFP4-AttnFP8 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-K2.5-MXFP4-AttnFP8 locally?
Yes. Kimi-K2.5-MXFP4-AttnFP8 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Kimi-K2.5-MXFP4-AttnFP8 best at?
Kimi-K2.5-MXFP4-AttnFP8 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use Kimi-K2.5-MXFP4-AttnFP8 in osFoundry?
Paste your amd API key in the key dialog (or deploy the open weights for self-hostable models), assign Kimi-K2.5-MXFP4-AttnFP8 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by amd on April 24, 2026. Source: https://huggingface.co/amd/Kimi-K2.5-MXFP4-AttnFP8