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unsloth/gemma-4-26b-a4b-it

LM-STUDIO GGUF

gemma4 · 26B · Q3_K_M

Excellent

Apr 5, 2026 · Apple M4

lfm2.5:8b

OLLAMA GGUF

lfm2moe · 8.5B · Q4_K_M

Excellent

Aug 24, 2026 · Apple M1 Pro

Global Score
84 vs 80
Hardware Fit
64 vs 95
Quality Score
92 vs 73

Hardware

unsloth/gemma-4-26… lfm2.5:8b
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

unsloth/gemma-4-26… lfm2.5:8b
Tokens/sec16.598.5
First chunk32 ms167 ms
TTFT2.2 s2.5 s
Load timeN/A3.0 s
Memory usage19.3 GB6.0 GB
Memory %80%37%

HW Fit Score Breakdown

unsloth/gemma-4-26b-a4b…

Speed
36/50
TTFT
18/20
Memory
10/30

lfm2.5:8b

Speed
50/50
TTFT
17/20
Memory
28/30

Quality

unsloth/gemma-4-26b-a4b…

Reasoning
18/20
Coding
19/20
Instruction
17/20
Structured
14/15
Math
14/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong

lfm2.5:8b

Reasoning
2/20
Coding
12/20
Instruction
19/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Poor Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Strong 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