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gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

qwen2.5:0.5b

OLLAMA GGUF

qwen2 · 494.03M · Q4_K_M

Marginal

Mar 2, 2026 · Apple M4

Global Score
81 vs 57
Hardware Fit
90 vs 100
Quality Score
77 vs 39

Hardware

gemma-4-e2b-it-qat qwen2.5:0.5b
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-e2b-it-qat qwen2.5:0.5b
Tokens/sec22.2165.0
First chunk67 msN/A
TTFT1.1 s81 ms
Load time5.4 s0.5 s
Memory usage0.0 GB1.7 GB
Memory %0%5%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

qwen2.5:0.5b

Speed
40/50
TTFT
30/20
Memory
30/30

Quality

gemma-4-e2b-it-qat

Reasoning
10/20
Coding
17/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

qwen2.5:0.5b

Reasoning
6/20
Coding
6/20
Instruction
7/20
Structured
11/15
Math
5/15
Multilingual
4/10
Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Weak Multilingual: Weak
View gemma-4-e2b-it-qat details | View qwen2.5:0.5b 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