merged_champion_v5_m4
merged_champion_v5_m4 is a chat model from ajtaltarabukin2022, released April 15, 2026. merged_champion_v5_m4 is an open-weights chat model.
by ajtaltarabukin2022
Best for
Ways to use merged_champion_v5_m4 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your ajtaltarabukin2022 API key. osFoundry discovers merged_champion_v5_m4 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
merged_champion_v5_m4 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.
merged_champion_v5_m4 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about merged_champion_v5_m4
Is merged_champion_v5_m4 free to use?
merged_champion_v5_m4 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 merged_champion_v5_m4 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 merged_champion_v5_m4 locally?
Yes. merged_champion_v5_m4 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is merged_champion_v5_m4 best at?
merged_champion_v5_m4 is well-suited to text generation.
How do I use merged_champion_v5_m4 in osFoundry?
Paste your ajtaltarabukin2022 API key in the key dialog (or deploy the open weights for self-hostable models), assign merged_champion_v5_m4 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by ajtaltarabukin2022 on April 15, 2026. Source: https://huggingface.co/ajtaltarabukin2022/merged_champion_v5_m4