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gemma4:26b

OLLAMA GGUF

gemma4 · 25.8B · Q4_K_M

Not Rec.

Apr 3, 2026 · Apple M4

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
33 vs 66
Hardware Fit
50 vs 100
Quality Score
25 vs 52

Hardware

gemma4:26b hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4Apple M4
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

gemma4:26b hf.co/empero-ai/Qw…
Tokens/sec20.026.5
First chunk941 ms447 ms
TTFT30.0 s447 ms
Load time0.2 s3.3 s
Memory usage20.3 GB4.8 GB
Memory %85%30%

HW Fit Score Breakdown

gemma4:26b

Speed
42/50
TTFT
0/20
Memory
8/30

hf.co/empero-ai/Qwen3.8…

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

Quality

gemma4:26b

Reasoning
14/20
Coding
1/20
Instruction
6/20
Structured
3/15
Math
0/15
Multilingual
1/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Poor

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

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