gemma-helpdesk-v2-e2b-seed42
gemma-helpdesk-v2-e2b-seed42 (voidash, 2026) is a 2 billion parameter chat model. gemma-helpdesk-v2-e2b-seed42 is an open-weights chat model with roughly 2 billion parameters.
by voidash · 2B parameters
Best for
Ways to use gemma-helpdesk-v2-e2b-seed42 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your voidash API key. osFoundry discovers gemma-helpdesk-v2-e2b-seed42 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-helpdesk-v2-e2b-seed42 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 gemma-helpdesk-v2-e2b-seed42
gemma-helpdesk-v2-e2b-seed42 runs on a single 16GB consumer GPU (~2 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~5 GB).
gemma-helpdesk-v2-e2b-seed42 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about gemma-helpdesk-v2-e2b-seed42
Is gemma-helpdesk-v2-e2b-seed42 free to use?
gemma-helpdesk-v2-e2b-seed42 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-helpdesk-v2-e2b-seed42 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 gemma-helpdesk-v2-e2b-seed42 need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run gemma-helpdesk-v2-e2b-seed42 locally?
Yes. gemma-helpdesk-v2-e2b-seed42 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is gemma-helpdesk-v2-e2b-seed42 best at?
gemma-helpdesk-v2-e2b-seed42 is well-suited to text generation.
How do I use gemma-helpdesk-v2-e2b-seed42 in osFoundry?
Paste your voidash API key in the key dialog (or deploy the open weights for self-hostable models), assign gemma-helpdesk-v2-e2b-seed42 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by voidash on April 29, 2026. Source: https://huggingface.co/voidash/gemma-helpdesk-v2-e2b-seed42