ddh0_gemma-3-40b-GGUF
ddh0_gemma-3-40b-GGUF is a 40 billion parameter chat model from bartowski, released July 14, 2025. ddh0_gemma-3-40b-GGUF is an open-weights chat model with roughly 40 billion parameters.
by bartowski · 40B parameters
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Ways to use ddh0_gemma-3-40b-GGUF in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your bartowski API key. osFoundry discovers ddh0_gemma-3-40b-GGUF 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
ddh0_gemma-3-40b-GGUF 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.
What hardware can run ddh0_gemma-3-40b-GGUF
ddh0_gemma-3-40b-GGUF runs on a 24GB consumer or workstation GPU (~24 GB VRAM with KV-cache headroom). Full-precision inference requires an H200 141GB or 2x A100 80GB at FP16 (~96 GB).
ddh0_gemma-3-40b-GGUF vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about ddh0_gemma-3-40b-GGUF
Is ddh0_gemma-3-40b-GGUF free to use?
ddh0_gemma-3-40b-GGUF 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 ddh0_gemma-3-40b-GGUF commercially?
Commercial use is allowed with conditions. Licence terms not specified — verify the upstream model card before commercial use. Check upstream documentation.
How much VRAM does ddh0_gemma-3-40b-GGUF need?
Approximately 24 GB at Q4 quantisation, or 96 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run ddh0_gemma-3-40b-GGUF locally?
Yes. ddh0_gemma-3-40b-GGUF is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is ddh0_gemma-3-40b-GGUF best at?
ddh0_gemma-3-40b-GGUF is well-suited to text generation.
How do I use ddh0_gemma-3-40b-GGUF in osFoundry?
Paste your bartowski API key in the key dialog (or deploy the open weights for self-hostable models), assign ddh0_gemma-3-40b-GGUF to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by bartowski on July 14, 2025. Source: https://huggingface.co/bartowski/ddh0_gemma-3-40b-GGUF