unsloth_gemma-4-E2B-it_1776525877
artofai2030's unsloth_gemma-4-E2B-it_1776525877 packs 2 billion parameters into a chat model. unsloth_gemma-4-E2B-it_1776525877 is an open-weights chat model with roughly 2 billion parameters.
by artofai2030 · 2B parameters
Best for
- low-latency chat and routing
- request routing and triage
- text classification
Ways to use unsloth_gemma-4-E2B-it_1776525877 in osFoundry
Connect with your own key (BYOK)
Open the key dialog and paste your artofai2030 API key. osFoundry discovers unsloth_gemma-4-E2B-it_1776525877 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
unsloth_gemma-4-E2B-it_1776525877 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 unsloth_gemma-4-E2B-it_1776525877
unsloth_gemma-4-E2B-it_1776525877 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).
unsloth_gemma-4-E2B-it_1776525877 vs similar models
Licence
Unspecified — Licence terms not specified — verify the upstream model card before commercial use.
Check upstream documentation.
Frequently asked about unsloth_gemma-4-E2B-it_1776525877
Is unsloth_gemma-4-E2B-it_1776525877 free to use?
unsloth_gemma-4-E2B-it_1776525877 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 unsloth_gemma-4-E2B-it_1776525877 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 unsloth_gemma-4-E2B-it_1776525877 need?
Approximately 2 GB at Q4 quantisation, or 5 GB at full FP16 precision. Fits on a single 24GB consumer GPU.
Can I run unsloth_gemma-4-E2B-it_1776525877 locally?
Yes. unsloth_gemma-4-E2B-it_1776525877 is open-weights and runs locally on a workstation GPU. osFoundry's local runtime handles model loading, quantisation, and routing.
What is unsloth_gemma-4-E2B-it_1776525877 best at?
unsloth_gemma-4-E2B-it_1776525877 is well-suited to low-latency chat and routing, request routing and triage, text classification.
How do I use unsloth_gemma-4-E2B-it_1776525877 in osFoundry?
Paste your artofai2030 API key in the key dialog (or deploy the open weights for self-hostable models), assign unsloth_gemma-4-E2B-it_1776525877 to a Maestro role in the Pipeline tab, then use it in chat, Room Apps via invokeAI, or your own apps.
Published by artofai2030 on April 18, 2026. Source: https://huggingface.co/artofai2030/unsloth_gemma-4-E2B-it_1776525877