Gemma3-1B-IT-LiteRT
Released by MiCkSoftware in 2026, Gemma3-1B-IT-LiteRT is a 1 billion parameter chat model. Gemma3-1B-IT-LiteRT is an open-weights chat model with roughly 1 billion parameters.
by MiCkSoftware · 1B parameters
Best for
Ways to use Gemma3-1B-IT-LiteRT in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your MiCkSoftware API key. osFoundry discovers Gemma3-1B-IT-LiteRT 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
Gemma3-1B-IT-LiteRT 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 Gemma3-1B-IT-LiteRT
Gemma3-1B-IT-LiteRT runs on a single 16GB consumer GPU (~1 GB VRAM with KV-cache headroom). Full-precision inference fits on a single H100 80GB at FP16 precision (~3 GB).
Gemma3-1B-IT-LiteRT vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about Gemma3-1B-IT-LiteRT
Is Gemma3-1B-IT-LiteRT free to use?
Gemma3-1B-IT-LiteRT 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 Gemma3-1B-IT-LiteRT 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 Gemma3-1B-IT-LiteRT need?
Approximately 1 GB at Q4 quantisation, or 3 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run Gemma3-1B-IT-LiteRT locally?
Yes. Gemma3-1B-IT-LiteRT is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is Gemma3-1B-IT-LiteRT best at?
Gemma3-1B-IT-LiteRT is well-suited to text generation.
How do I use Gemma3-1B-IT-LiteRT in osFoundry?
Paste your MiCkSoftware API key in the key dialog (or deploy the open weights for self-hostable models), assign Gemma3-1B-IT-LiteRT to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by MiCkSoftware on March 8, 2026. Source: https://huggingface.co/MiCkSoftware/Gemma3-1B-IT-LiteRT