gemma-4-4bit-it-mlx-dwq-ram-5gb
gemma-4-4bit-it-mlx-dwq-ram-5gb is a chat model from chantra, released April 24, 2026. gemma-4-4bit-it-mlx-dwq-ram-5gb is an open-weights chat model.
by chantra
Best for
Ways to use gemma-4-4bit-it-mlx-dwq-ram-5gb in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your chantra API key. osFoundry discovers gemma-4-4bit-it-mlx-dwq-ram-5gb 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
gemma-4-4bit-it-mlx-dwq-ram-5gb 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.
gemma-4-4bit-it-mlx-dwq-ram-5gb vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gemma-4-4bit-it-mlx-dwq-ram-5gb
Is gemma-4-4bit-it-mlx-dwq-ram-5gb free to use?
gemma-4-4bit-it-mlx-dwq-ram-5gb 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 gemma-4-4bit-it-mlx-dwq-ram-5gb 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 gemma-4-4bit-it-mlx-dwq-ram-5gb locally?
Yes. gemma-4-4bit-it-mlx-dwq-ram-5gb is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gemma-4-4bit-it-mlx-dwq-ram-5gb best at?
gemma-4-4bit-it-mlx-dwq-ram-5gb is well-suited to text generation.
How do I use gemma-4-4bit-it-mlx-dwq-ram-5gb in osFoundry?
Paste your chantra API key in the key dialog (or deploy the open weights for self-hostable models), assign gemma-4-4bit-it-mlx-dwq-ram-5gb to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by chantra on April 24, 2026. Source: https://huggingface.co/chantra/gemma-4-4bit-it-mlx-dwq-ram-5gb