gemma-2-9b_coding
gemma-2-9b_coding (MergeBench, 2025) is an chat model. gemma-2-9b_coding is an open-weights chat model.
by MergeBench
Best for
Ways to use gemma-2-9b_coding in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MergeBench API key. osFoundry discovers gemma-2-9b_coding 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-2-9b_coding 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-2-9b_coding vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gemma-2-9b_coding
Is gemma-2-9b_coding free to use?
gemma-2-9b_coding 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-2-9b_coding 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-2-9b_coding locally?
Yes. gemma-2-9b_coding is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gemma-2-9b_coding best at?
gemma-2-9b_coding is well-suited to text generation.
How do I use gemma-2-9b_coding in osFoundry?
Paste your MergeBench API key in the key dialog (or deploy the open weights for self-hostable models), assign gemma-2-9b_coding to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MergeBench on May 14, 2025. Source: https://huggingface.co/MergeBench/gemma-2-9b_coding