unsloth/gemma-4-e4b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
gemma4:e2b-mlx
OLLAMA GGUFAug 25, 2026 · Apple M1 Pro
Global Score
79 vs 82
Hardware Fit
69 vs 99
Quality Score
83 vs 75
Hardware
unsloth/gemma-4-e4… 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-e4… gemma4:e2b-mlx
Tokens/sec12.170.4
First chunk40 ms96 ms
TTFT2.1 s96 ms
Load time7.2 s2.5 s
Memory usage0.8 GB5.7 GB
Memory %6%36%
HW Fit Score Breakdown
unsloth/gemma-4-e4b-it-…
Speed
22/50
TTFT
17/20
Memory
30/30
gemma4:e2b-mlx
Speed
50/50
TTFT
20/20
Memory
29/30
Quality
unsloth/gemma-4-e4b-it-…
Reasoning
15/20
Coding
18/20
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
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
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest