FitMyLLM
Google/Dense

GoogleGemma 3n E2B

Gemma 3n E2B — Google's efficient model designed for phones and edge devices.

chatcodingmultilingualvision
6B
Parameters
32K
Context length
19
Benchmarks
6
Quantizations
100K
HF downloads
Architecture
Dense
Released
2025-06-25
Layers
26
KV Heads
4
Head Dim
256
Family
gemma

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.894.2 GBgood
Q5_K_S5.574.7 GBgood
Q5_K_M5.74.8 GBgood
Q6_K6.565.4 GBexcellent
Q8_08.56.9 GBlossless
FP161612.5 GBlossless

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

▸ READY TO RUN THIS?RENT BY THE HOUR

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

Community Ratings

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Benchmarks (19)

MATH-50069.1
HumanEval66.5
MBPP56.6
BBH44.3
IFEval40.3
GPQA Diamond22.9
IFBench22.0
MMLU-PRO17.6
MUSR14.9
AIME10.3
AA Math10.3
LiveCodeBench9.5
MATH6.2
SciCode5.2
AA Intelligence4.8
GPQA4.0
HLE4.0
AA Coding2.2
Terminal-Bench0.8

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run gemma3n: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
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla K20c
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20m
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20s
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 5 GB
5 GB VRAM • 160 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA P102-100
5 GB VRAM • 440 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA Quadro P2000
5 GB VRAM • 140.2 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA Quadro P2200
5 GB VRAM • 200.2 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
AmazonNeweggeBayPCPartPicker
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1060 6GB
6 GB VRAM • 192 GB/s
NVIDIA
$80
AmazonNeweggeBayPCPartPicker
NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA GeForce GTX 1060 6 GB
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1660
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker

Find the best GPU for Gemma 3n E2B

Build Hardware for Gemma 3n E2B

Model Card

View on HuggingFace

Gemma 3n E2B — Google's efficient model designed for phones and edge devices.

▸ SPEC SHEET

Gemma 3n E2B — 6B Dense.

▸ SPECIFICATIONS
PARAMETERS
6B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
32K tokens
CAPABILITIES
chat, coding, multilingual, vision
RELEASE DATE
2025-06-25
PROVIDER
Google
FAMILY
gemma
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.2 GB94%
Q5_K_S5.574.7 GB96%
Q5_K_M5.74.8 GB96%
Q6_K6.565.4 GB97%
Q8_08.56.9 GB100%
FP161612.5 GB100%
§ 01BENCHMARK SCORES
HumanEval66.5
MMLU-PRO17.6
MATH6.2
IFEval40.3
BBH44.3
GPQA4.0
MUSR14.9
MBPP56.6
GPQA Diamond22.9
LiveCodeBench9.5
AIME10.3
MATH-50069.1
HLE4.0
AA Intelligence4.8
AA Coding2.2
AA Math10.3
aa_ifbench22.0
aa_terminal_bench0.8
aa_scicode5.2
§ 02RUN COMMAND

Run Gemma 3n E2B locally with Ollama — needs 4.2 GB VRAM at Q4_K_M:

$ollama run gemma3n:e2b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA Tesla K20c
5 GB · 208 GB/s
NVIDIA Tesla K20m
5 GB · 208 GB/s
NVIDIA Tesla K20s
5 GB · 208 GB/s
NVIDIA GeForce GTX 1060 5 GB
5 GB · 160 GB/s
NVIDIA P102-100
5 GB · 440 GB/s
NVIDIA Quadro P2000
5 GB · 140.2 GB/s
NVIDIA Quadro P2200
5 GB · 200.2 GB/s
NVIDIA RTX 3050 6GB
6 GB · 168 GB/s
Intel Arc A380
6 GB · 186 GB/s
NVIDIA RTX 2060 6GB
6 GB · 336 GB/s
NVIDIA GTX 1660 SUPER
6 GB · 336 GB/s
NVIDIA GTX 1660 Ti
6 GB · 288 GB/s
NVIDIA GTX 1060 6GB
6 GB · 192 GB/s
NVIDIA Tesla C2070
6 GB · 143 GB/s
NVIDIA Tesla C2075
6 GB · 150 GB/s