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gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

Global Score
85 vs 75
Hardware Fit
95 vs 74
Quality Score
81 vs 76

Hardware

gemma4:e4b-mlx unsloth/gemma-4-e2…
MachineMacBook ProDocker Container
CPUApple M2 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M2 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

gemma4:e4b-mlx unsloth/gemma-4-e2…
Tokens/sec47.313.0
First chunk258 ms62 ms
TTFT258 ms1.5 s
Load time5.1 s7.8 s
Memory usage7.9 GB0.0 GB
Memory %49%0%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
25/30

unsloth/gemma-4-e2b-it@…

Speed
24/50
TTFT
20/20
Memory
30/30

Quality

gemma4:e4b-mlx

Reasoning
15/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

unsloth/gemma-4-e2b-it@…

Reasoning
11/20
Coding
16/20
Instruction
16/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma4:e4b-mlx details | View unsloth/gemma-4-e2… 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