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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

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Mar 5, 2026 · Apple M1 Max

Global Score
77 vs 90
Hardware Fit
59 vs 97
Quality Score
84 vs 87

Hardware

gemma-4-e4b-it@q5_… qwen3:14b
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Max
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Max
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… qwen3:14b
Tokens/sec9.324.0
First chunk51 ms300 ms
TTFT3.4 s300 ms
Load time12.2 s3.6 s
Memory usage0.0 GB13.8 GB
Memory %0%43%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

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

qwen3:14b

Speed
47/50
TTFT
20/20
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

qwen3:14b

Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e4b-it@q5_… details | View qwen3:14b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest