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gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
78 vs 66
Hardware Fit
72 vs 100
Quality Score
81 vs 52

Hardware

gemma4:e4b-mlx hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M2 ProApple M4
Cores1010
RAM16 GB16 GB
GPUApple M2 ProApple M4
OSmacOS 26.5macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:e4b-mlx hf.co/empero-ai/Qw…
Tokens/sec26.926.5
First chunk222 ms447 ms
TTFT222 ms447 ms
Load time0.1 s3.3 s
Memory usage15.4 GB4.8 GB
Memory %96%30%

HW Fit Score Breakdown

gemma4:e4b-mlx

Speed
50/50
TTFT
20/20
Memory
2/30

hf.co/empero-ai/Qwen3.8…

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

Quality

gemma4:e4b-mlx

Reasoning
14/20
Coding
19/20
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

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View gemma4:e4b-mlx details | View hf.co/empero-ai/Qw… details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest