Google/Dense

GoogleGemma 4 E2B

Gemma 4 E2B — 2.3B effective params from 5.1B total via Per-Layer Embeddings. Vision + audio, 128K context.

chatmultilingualvisionaudio
5.1B
Parameters
128K
Context length
13
Benchmarks
6
Quantizations
100K
HF downloads
Architecture
Dense
Released
2026-04-02
Layers
35
KV Heads
1
Head Dim
256
Family
gemma

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.893.6 GBgood
Q5_K_S5.574.0 GBgood
Q5_K_M5.74.1 GBgood
Q6_K6.564.7 GBexcellent
Q8_08.55.9 GBlossless
FP161610.7 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN GEMMA 4 E2B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

Loading ratings...

Benchmarks (13)

MMLU-PRO60.0
LiveCodeBench44.0
GPQA Diamond43.4
IFBench38.0
AIME37.5
BBH21.9
SciCode20.9
τ²-Bench20.8
AA Intelligence15.2
AA Long Context15.0
AA Coding9.0
HLE4.8
Terminal-Bench3.0

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run gemma4:e2b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C1080
4 GB VRAM • 102 GB/s
NVIDIA
NVIDIA Tesla K10
4 GB VRAM • 160 GB/s
NVIDIA
NVIDIA Tesla M4
4 GB VRAM • 88 GB/s
NVIDIA
AMD Radeon Instinct MI8
4 GB VRAM • 512 GB/s
AMD
NVIDIA RTX A1000 Embedded
4 GB VRAM • 224 GB/s
NVIDIA
NVIDIA RTX A2000 Embedded
4 GB VRAM • 192 GB/s
NVIDIA
Intel Arc A310
4 GB VRAM • 124 GB/s
INTEL
$79
Intel Arc A350
4 GB VRAM • 124 GB/s
INTEL
$99

Find the best GPU for Gemma 4 E2B

Build Hardware for Gemma 4 E2B
▸ SPEC SHEET

Gemma 4 E2B5.1B Dense.

▸ SPECIFICATIONS
PARAMETERS
5.1B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, multilingual, vision, audio
RELEASE DATE
2026-04-02
PROVIDER
Google
FAMILY
gemma
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.893.6 GB94%
Q5_K_S5.574.0 GB96%
Q5_K_M5.74.1 GB96%
Q6_K6.564.7 GB97%
Q8_08.55.9 GB100%
FP161610.7 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO60.0
BBH21.9
GPQA Diamond43.4
HLE4.8
AA Intelligence15.2
AA Coding9.0
LiveCodeBench44.0
AIME37.5
aa_ifbench38.0
aa_terminal_bench3.0
aa_tau220.8
aa_scicode20.9
aa_lcr15.0
§ 02RUN COMMAND

Run Gemma 4 E2B locally with Ollama — needs 3.6 GB VRAM at Q4_K_M:

$ollama run gemma4:e2b