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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

gemma3:270m

OLLAMA GGUF

gemma3 · 268.10M · Q8_0

Marginal

Mar 5, 2026 · Apple M3 Pro

Global Score
77 vs 50
Hardware Fit
59 vs 97
Quality Score
84 vs 30

Hardware

gemma-4-e4b-it@q5_… gemma3:270m
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M3 Pro
Cores1612
RAM15 GB36 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M3 Pro
OSUbuntu 26.04 LTSmacOS 15.7.5
Archx64arm64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… gemma3:270m
Tokens/sec9.3239.2
First chunk51 ms127 ms
TTFT3.4 s127 ms
Load time12.2 s0.7 s
Memory usage0.0 GB0.6 GB
Memory %0%2%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

gemma3:270m

Speed
50/50
TTFT
20/20
Memory
27/30

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

gemma3:270m

Reasoning
4/20
Coding
2/20
Instruction
10/20
Structured
8/15
Math
1/15
Multilingual
5/10
Reasoning: Poor Coding: Poor Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Weak

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