Gemma 3 — Local AI Model by Google

Name: LLM Configurator — GPU VRAM Checker
Author: LLM Configurator

Autor: Jakub Rusinowski · Ostatnia aktualizacja: 10 lipca 2026

Gemma 3 delivers exceptional quality-per-VRAM ratio, with the 4B model outperforming many 7B competitors. Features multimodal capabilities and a 128k context window across all sizes. Previous generation — superseded by Gemma 4 (E2B/E4B/26B-A4B/31B and the 12B Unified follow-up), which improves efficiency and multimodal support. Still widely used and supported.

Hardware Requirements

Gemma 3 1B Instruct	Min 1 GB VRAM · Q4_K_M · 32,000 ctx · `ollama run gemma3:1b`
Gemma 3 4B Instruct	Min 3 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run gemma3:4b`
Gemma 3 12B Instruct	Min 8 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run gemma3:12b`
Gemma 3 27B Instruct	Min 17 GB VRAM · Q4_K_M · 128,000 ctx · `ollama run gemma3:27b`

Recommended GPU

The cheapest GPU that runs Gemma 3 locally (min 1 GB VRAM) is the Intel Arc B570 (10 GB).

Ujawnienie afiliacyjne: Niektóre odnośniki na tej stronie to linki afiliacyjne — jeśli dokonasz zakupu za ich pośrednictwem, LLM Configurator może otrzymać prowizję bez dodatkowych kosztów dla Ciebie. Jako uczestnik programu Amazon Associates, LLM Configurator zarabia na kwalifikujących się zakupach.

Intel Arc B570 10GB

Sugerowana cena premierowa: $219

Ceny w 2026 są niestabilne — sprawdź aktualną ofertę.

Sprawdź cenę na Amazon

How to Run Locally

Install Ollama then run: ollama run gemma3:1b

Minimum VRAM: 1 GB. For best results use Q4_K_M quantization.

Gemma 3 — Frequently Asked Questions

How much VRAM does Gemma 3 need?

Gemma 3 needs about 1 GB VRAM at Q4_K_M quantization for its smallest variant. Variants: Gemma 3 1B Instruct (1 GB, Q4_K_M); Gemma 3 4B Instruct (3 GB, Q4_K_M); Gemma 3 12B Instruct (8 GB, Q4_K_M); Gemma 3 27B Instruct (17 GB, Q4_K_M). On Apple Silicon, unified memory counts toward this requirement.

Can I run Gemma 3 on an RTX 4090 (24 GB)?

Yes — Gemma 3 runs on an RTX 4090 (24 GB) and other 24 GB cards such as the RTX 3090. Smaller variants also fit comfortably on 8–16 GB GPUs at Q4_K_M.

What quantization should I use for Gemma 3?

Q4_K_M is the best balance of quality and VRAM for Gemma 3 in most cases. Choose Q8_0 for near-lossless quality if you have spare VRAM, or smaller quants (Q3/Q2) only when memory is tight.

How do I run Gemma 3 with Ollama?

Install Ollama, then run: ollama run gemma3:1b. This downloads Gemma 3 and starts a local, OpenAI-compatible endpoint — no internet connection is needed after the initial download.