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unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

gemma4:e2b-mlx

OLLAMA GGUF
Excellent

Aug 25, 2026 · Apple M1 Pro

Global Score
75 vs 82
Hardware Fit
74 vs 99
Quality Score
76 vs 75

Hardware

unsloth/gemma-4-e2… gemma4:e2b-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

unsloth/gemma-4-e2… gemma4:e2b-mlx
Tokens/sec13.070.4
First chunk62 ms96 ms
TTFT1.5 s96 ms
Load time7.8 s2.5 s
Memory usage0.0 GB5.7 GB
Memory %0%36%

HW Fit Score Breakdown

unsloth/gemma-4-e2b-it@…

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

gemma4:e2b-mlx

Speed
50/50
TTFT
20/20
Memory
29/30

Quality

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

gemma4:e2b-mlx

Reasoning
14/20
Coding
14/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong
View unsloth/gemma-4-e2… details | View gemma4:e2b-mlx 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