my_gemma2_pt
my_gemma2_pt is a chat model from mart1n3, released April 30, 2026. my_gemma2_pt is an open-weights chat model.
by mart1n3
Best for
Ways to use my_gemma2_pt in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your mart1n3 API key. osFoundry discovers my_gemma2_pt 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
my_gemma2_pt 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.
my_gemma2_pt vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about my_gemma2_pt
Is my_gemma2_pt free to use?
my_gemma2_pt 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 my_gemma2_pt 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 my_gemma2_pt locally?
Yes. my_gemma2_pt is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is my_gemma2_pt best at?
my_gemma2_pt is well-suited to text generation.
How do I use my_gemma2_pt in osFoundry?
Paste your mart1n3 API key in the key dialog (or deploy the open weights for self-hostable models), assign my_gemma2_pt to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by mart1n3 on April 30, 2026. Source: https://huggingface.co/mart1n3/my_gemma2_pt