gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

llama2:7b

OLLAMA GGUF

llama · 7B · Q4_0

Marginal

Mar 2, 2026 · Apple M4

Global Score

77 vs 55

Hardware Fit

59 vs 99

Quality Score

84 vs 36

Hardware

gemma-4-e4b-it@q5_… llama2:7b

MachineDocker ContainerMacBook Air

CPUIntel Gen Intel® Core™ i9-11900HApple M4

Cores1610

RAM15 GB32 GB

GPUTigerLake-H GT1 [UHD Graphics]Apple M4

OSUbuntu 26.04 LTSmacOS 26.3

Archx64arm64

Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… llama2:7b

Tokens/sec9.325.1

First chunk51 msN/A

TTFT3.4 s228 ms

Load time12.2 s0.4 s

Memory usage0.0 GB5.8 GB

Memory %0%18%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed

17/50

TTFT

12/20

Memory

30/30

llama2:7b

Speed

39/50

TTFT

30/20

Memory

30/30

Quality

gemma-4-e4b-it@q5_k_xl

Reasoning

15/20

Coding

18/20

Instruction

17/20

Structured

15/15

Math

9/15

Multilingual

10/10

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

llama2:7b

Reasoning

4/20

Coding

3/20

Instruction

13/20

Structured

8/15

Math

1/15

Multilingual

7/10

Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

View gemma-4-e4b-it@q5_… details | View llama2:7b 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