Gemma 4 Models — Hardware Requirements

22 Gemma 4 models from Google and the community, from the smallest that runs in 2 GB of VRAM up to 32.7B parameters. Every row links to full quantization tables and GPU compatibility.

All Gemma 4 Models by Size

How Gemma 4 Compares — Benchmark Rating

Gemma 4 31B IT is the highest-rated Gemma 4 model with an overall benchmark rating of 50.8/100 — #34 among 75 open models. The top proprietary model, GPT 5.5, scores 88.8. Click a model to see its full benchmark breakdown.

Frequently Asked Questions

How much VRAM do I need to run a Gemma 4 model?

The smallest Gemma 4 model, Gemma 4 E2B IT Qat Mobile Transformers, runs from 1.4 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.

Which Gemma 4 models can I run on a 16 GB GPU?

34 of 37 Gemma 4 models fit in 16 GB of VRAM at some quantization, including Gemma 4 26B A4B IT, Gemma 4 31B IT, Gemma 4 E4B IT.

What is the most popular Gemma 4 model to run locally?

Gemma 4 26B A4B IT is the most downloaded Gemma 4 model in local-friendly quantized formats. It runs from 8.0 GB of VRAM.

How do Gemma 4 models score on benchmarks?

Gemma 4 31B IT leads the family with an overall benchmark rating of 50.8/100, ranking #34 among 75 open models, while the top proprietary model, GPT 5.5, scores 88.8. See the comparison chart above for the full standings.