Gemma, Explained

Google's Open Weights — Worth Running Yourself?

Gemma 4 (April 2026) is the real thing: Apache 2.0, five sizes from edge to workstation, weights you actually download. This page answers the two questions that matter — what local hosting truly takes, and what to use when you want the capability without the GPU stack.

Apache 2.0 · 5 sizes · local-first. Not in @vustbot — waitlist below.Honest scope: we don't run Gemma today
Vote for hosted Gemma (waitlist)
Apache 2.0 — real open weights5 sizes: E2B to 31BLocal-first by design

Honest scope

Gemma is not in our lineup — here's what is

@vustbot serves frontier cloud models: GPT-5/5.5, Claude Sonnet 4.6 and Opus 4.8, Gemini 3 Flash and 3.1 Pro, Grok 4.3, DeepSeek, GLM 5.2, Kimi K2.6 — free tier, no card, model switching mid-chat. Gemma's whole point is running on YOUR hardware, which is the opposite product shape. If you want a hosted Gemma anyway, press the waitlist button: it's a real demand counter, and enough votes move it up the roadmap.

Everything on this page about Gemma 4 itself — license, sizes, release date — is verified against Google's own docs.

See the difference

Open weights, the real cost of local, and the no-setup path — honestly.

What Gemma 4 is

The facts

Google's open-weights family, released April 2026 under Apache 2.0 — the permissive license that made headlines. Five parameter sizes (E2B, E4B, 12B, 31B, 26B A4B) from phone/edge-friendly to workstation-class.

What 'open weights' buys you

You download the model and run it on YOUR hardware: no per-token bill, no data leaving your machine, fine-tuning allowed, commercial use allowed. The trade: you provide the compute, the setup and the maintenance.

What running it locally takes

The honest checklist

A runner (Ollama, LM Studio, llama.cpp), enough RAM/VRAM for your chosen size — small Gemmas run on laptops, the larger ones want a serious GPU — plus quantization choices, prompt templates and updates when a new version ships.

Who this fits

Developers, tinkerers, privacy-hard requirements, offline environments. If that's you, Gemma 4 is the most permissively-licensed mainstream family to build on. If it's not you, the setup is the product you didn't ask for.

The no-setup path

Same need, different door

Most people asking 'can I run Gemma locally' actually want capable AI without a subscription — the local part is a means, not the goal.

What works today

@vustbot runs frontier models (GPT-5.5, Claude Opus 4.8, Gemini 3.1 Pro, DeepSeek and more) in a Telegram chat: free tier, no card, no GPU, switch models mid-conversation. Gemma itself isn't in the lineup — the waitlist button below is how you vote to add it.

02·Practical use cases

Who Gemma 4 actually fits

Privacy-hard requirements

Data that must not leave the machine — legal, medical, trade secrets

Local open weights are the correct answer: nothing transits a vendor. Gemma 4's Apache 2.0 license makes commercial use clean.

Tinkerers with hardware

An idle GPU and curiosity about running models yourself

Gemma 4's five sizes (E2B to 31B) give a real ladder: start small on a laptop, scale to what your VRAM holds.

Everyone else asking 'can I run it'

Wanting capable AI without a subscription — local as a means, not a goal

The honest answer is usually the no-setup path: frontier models in a Telegram chat, free tier first. The waitlist button is how you vote for a hosted Gemma.

03·How it works

The open-weights reality check

01Download is the easy part

Weights are free under Apache 2.0. A runner (Ollama, LM Studio) gets a small Gemma answering on a laptop in an evening.

02The size sets the bill

E-series runs on modest hardware; 12B and up reward a real GPU with generous VRAM. Quantization trades quality for fit.

03The ceiling is honest

No local-runnable size matches frontier cloud models on hard reasoning. Pick local for constraints — privacy, offline, fine-tuning — not for peak quality.

04·Same tool · in Telegram

Telegram

Frontier answers without the GPU stack

@vustbot · Open @vustbot for GPT-5.5, Claude Opus 4.8, Gemini 3.1 Pro and more — free tier, no card, no setup. Press the waitlist button inside to vote for hosted Gemma.

Open in Telegram

05·Quality & trust

Honest scope — Gemma and us

Not in our lineup

@vustbot serves frontier cloud models (GPT-5/5.5, Claude, Gemini, Grok, DeepSeek, GLM, Kimi). Gemma is local-first open weights — the opposite product shape. We don't run it and don't claim to.

Waitlist = demand counter

The web_gemma_waitlist deeplink is a real signal we count. Enough presses and a hosted Gemma moves up the roadmap; until then this page stays a guide, not a product claim.

Facts verified

Gemma 4: released April 2026, Apache 2.0, five sizes (E2B, E4B, 12B, 31B, 26B A4B) — checked against Google's developer docs at build time.

Frequently asked questions

The open-weights reading set.

Cloud vs local AI

The decision table: when self-hosting wins and when it doesn't.

Gemini in Telegram

Google's frontier family — the closed sibling, usable today.

All models

Every model @vustbot runs and how the free tier works.

Ready when you are

Local when it must be. Chat when it doesn't.

Gemma 4 is the right call for privacy, offline and fine-tuning. For everything else, frontier models already answer in Telegram — no card, no hardware.

Open @vustbotCloud vs local — the decision table