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hf.co/mradermacher/gemma-4-E4B-GGUF:Q6_K

OLLAMA GGUF

gemma4 · 7.52B · unknown

Marginal

Aug 24, 2026 · Apple M1 Pro

gemma4:e4b-mlx

OLLAMA GGUF
Excellent

Jul 7, 2026 · Apple M2 Pro

Global Score
41 vs 85
Hardware Fit
100 vs 95
Quality Score
16 vs 81

Hardware

hf.co/mradermacher… gemma4:e4b-mlx
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M2 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M2 Pro
OSmacOS 26.6.2macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/mradermacher… gemma4:e4b-mlx
Tokens/sec34.647.3
First chunk179 ms258 ms
TTFT179 ms258 ms
Load time3.9 s5.1 s
Memory usage3.9 GB7.9 GB
Memory %25%49%

HW Fit Score Breakdown

hf.co/mradermacher/gemm…

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

gemma4:e4b-mlx

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

Quality

hf.co/mradermacher/gemm…

Reasoning
5/20
Coding
7/20
Instruction
0/20
Structured
0/15
Math
3/15
Multilingual
1/10
Reasoning: Poor Coding: Weak Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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
View hf.co/mradermacher… details | View gemma4:e4b-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