gemma4:e4b

OLLAMA GGUF

gemma4 · 8.0B · Q4_K_M

Excellent

Sep 15, 2026 · Intel Core™ i5-14400F

google/gemma-3-4b

LM-STUDIO MLX

gemma3 · 4B · 4bit

Good

Mar 3, 2026 · Apple M4

Global Score

87 vs 76

Hardware Fit

100 vs 100

Quality Score

81 vs 66

Hardware

gemma4:e4b google/gemma-3-4b

MachineGigabyte Technology Co., Ltd. B760 AORUS ELITE AX DDR4MacBook Air

CPUIntel Core™ i5-14400FApple M4

Cores1610

RAM32 GB32 GB

GPUNVIDIA GeForce RTX 5060 TiApple M4

OSMicrosoft Windows 11 Professionnel 10.0.26200macOS 26.3

Archx64arm64

Power Modebalancedbalanced

Performance

gemma4:e4b google/gemma-3-4b

Tokens/sec82.139.4

First chunk64 ms468 ms

TTFT64 ms468 ms

Load time6.1 sN/A

Memory usage3.0 GB2.8 GB

Memory %9%9%

HW Fit Score Breakdown

gemma4:e4b

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-3-4b

Speed

50/50

TTFT

20/20

Memory

30/30

Quality

gemma4:e4b

Reasoning

14/20

Coding

18/20

Instruction

17/20

Structured

15/15

Math

7/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

google/gemma-3-4b

Reasoning

10/20

Coding

17/20

Instruction

13/20

Structured

12/15

Math

4/15

Multilingual

10/10

Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

View gemma4:e4b details | View google/gemma-3-4b details

Run yours and compare

$ npm install -g metrillm@latest

$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest