# Gemma 3n E4B: RAM and VRAM requirements

> Gemma 3n E4B is a 8B Gemma model. At Q4_K_M it needs about **5.7 GB** to run and fits **33 of 40** tracked devices. Minimum to run: Nvidia GeForce RTX 3060 (12GB).

Last validated: 2026-08-03. Sources: Ollama, HuggingFace GGUF repos, vendor specs.

## Memory by quantization
| Quant | On disk | To run (4k context) |
| --- | --- | --- |
| Q4_K_M | 4.23 GB | ~5.7 GB |
| Q8_0 | 6.85 GB | ~8.4 GB |
| FP16 | 13.7 GB | ~15.2 GB |

Memory = weights + KV cache + ~0.8 GB runtime overhead, and varies ±15% with context length.

## Will it run on my device?
- **Apple M1 (8GB)** (8 GB): No, not enough memory
- **iPhone 17** (8 GB): No, not enough memory
- **iPhone 17 Pro** (12 GB): Yes, it runs
- **16GB RAM Laptop (CPU/iGPU only)** (16 GB): Yes, it runs (room for Q8_0)
- **Google Pixel 10 Pro** (16 GB): Yes, it runs (room for Q8_0)
- **Nvidia GeForce RTX 3090 (24GB)** (24 GB): Yes, it runs (room for FP16)
- **Apple M4 Pro (48GB)** (48 GB): Yes, it runs (room for FP16)
- **Apple M3 Ultra (256GB)** (256 GB): Yes, it runs (room for FP16)

Full table of all 40 devices: https://localmodel.run/model/gemma-3n-e4b

## How to run
Quickest path: `ollama run gemma3n:e4b`. On Mac, LM Studio (ships MLX) is fastest; on Linux, Ollama for chat or vLLM to serve; on Windows, LM Studio or Ollama.

## Details
- Parameters: 8B
- Default context: 32k tokens
- License: gemma (commercial use: conditional)
- Released: 2025-06
- HuggingFace: 36,851 downloads/mo, 919 likes

## FAQ
### How much VRAM or RAM does Gemma 3n E4B need?
About 5.7 GB at Q4_K_M (weights 4.23 GB + KV cache + overhead) at a 4k context. Budget ~8.4 GB for Q8_0.
### Can Gemma 3n E4B run on a laptop?
Yes. Gemma 3n E4B fits on a 16 GB laptop or Mac at Q4_K_M, and runs on Apple Silicon or a 12 GB+ GPU comfortably.
### Can I use Gemma 3n E4B commercially?
Conditionally: Gemma Terms of Use apply to commercial use..

Sources: https://huggingface.co/google/gemma-3n-E4B-it, https://huggingface.co/unsloth/gemma-3n-E4B-it-GGUF, https://ollama.com/library/gemma3n, https://gigazine.net/gsc_news/en/20250627-google-gemma-3n-full-release/
More: https://localmodel.run/model/gemma-3n-e4b