Gemma Models — Hardware Requirements
11 Gemma models from Google and the community, from the smallest that runs in 0.1 GB of VRAM up to 27.0B parameters. Every row links to full quantization tables and GPU compatibility.
All Gemma Models by Size
| Model | Params | Runs from | Context | Publisher | Quant downloads |
|---|---|---|---|---|---|
| Functiongemma 270M IT | 268M | 0.1 GB | — | ||
| Functiongemma 270M Ft Mobile Actions | 270M | 0.6 GB | — | ||
| T5gemma B B Ul2 IT | 591M | 1.3 GB | — | ||
| Vaultgemma 1B | 1.0B | 2.3 GB | — | ||
| T5gemma L L Ul2 IT | 1.2B | 2.7 GB | — | ||
| Gemma 7B | 8.5B | 4.0 GB | — | ||
| Gemma 7B IT | 8.5B | 4.0 GB | — | ||
| Codegemma 7B IT | 8.5B | 4.0 GB | — | ||
| Turkish Gemma 9B T1 | 9.2B | 4.8 GB | 8K | ||
| Turkish Gemma 9B v0.1 | 9.2B | 4.8 GB | 8K | ||
| Diffusiongemma 26B A4B IT | 25.8B | 11.6 GB | 262K | ||
| Diffusiongemma 26B A4B IT Q4 K M Layers | 26B | 57.2 GB | — | ||
| Medgemma 27B Text IT | 27.0B | 8.2 GB | — |
How Gemma Compares — Benchmark Rating
Gemma 7B is the highest-rated Gemma model with an overall benchmark rating of 55.7/100 — #25 among 75 open models. The top proprietary model, GPT 5.5, scores 88.8. Click a model to see its full benchmark breakdown.
GPT 5.5 · proprietary88.8
Claude Opus 4.7 · proprietary87.6
Claude Fable 5 · proprietary86.6
GPT 5.4 · proprietary86.6
Claude Opus 4.8 · proprietary84.4
DeepSeek V4 Pro77.5
Qwen3.6 27B74.0
StableBeluga269.1
MiniMax M2.768.4
Gemma 7B55.7
Frequently Asked Questions
- How much VRAM do I need to run a Gemma model?
- The smallest Gemma model, Functiongemma 270M IT, runs from 0.1 GB of VRAM at an aggressive quantization. Larger family members need proportionally more — see the table above for every model.
- Which Gemma models can I run on a 16 GB GPU?
- 12 of 13 Gemma models fit in 16 GB of VRAM at some quantization, including Functiongemma 270M IT, Diffusiongemma 26B A4B IT, Medgemma 27B Text IT.
- What is the most popular Gemma model to run locally?
- Functiongemma 270M IT is the most downloaded Gemma model in local-friendly quantized formats. It runs from 0.1 GB of VRAM.
- How do Gemma models score on benchmarks?
- Gemma 7B leads the family with an overall benchmark rating of 55.7/100, ranking #25 among 75 open models, while the top proprietary model, GPT 5.5, scores 88.8. See the comparison chart above for the full standings.