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

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

gemma4:e4b-mlx

OLLAMA GGUF
Not Rec.

Jul 7, 2026 · Apple M2 Pro

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

Hardware

hf.co/empero-ai/Qw… gemma4:e4b-mlx
MachineMacBook ProMacBook Pro
CPUApple M4Apple M2 Pro
Cores1010
RAM16 GB16 GB
GPUApple M4Apple M2 Pro
OSmacOS 26.6.1macOS 26.5
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… gemma4:e4b-mlx
Tokens/sec26.526.9
First chunk447 ms222 ms
TTFT447 ms222 ms
Load time3.3 s0.1 s
Memory usage4.8 GB15.4 GB
Memory %30%96%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

gemma4:e4b-mlx

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

Quality

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

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

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