Back to leaderboard

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

OLLAMA GGUF

gemma4 · 7.52B · unknown

Marginal

Aug 24, 2026 · Apple M1 Pro

google/gemma-4-26b-a4b-it-qat

LM-STUDIO GGUF

gemma4 · 26B · Q4_0

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
41 vs 82
Hardware Fit
100 vs 56
Quality Score
16 vs 93

Hardware

hf.co/mradermacher… google/gemma-4-26b…
MachineMacBook ProDocker Container
CPUApple M1 ProIntel Gen Intel® Core™ i9-11900H
Cores1016
RAM16 GB15 GB
GPUApple M1 ProTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.6.2Ubuntu 26.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

hf.co/mradermacher… google/gemma-4-26b…
Tokens/sec34.612.0
First chunk179 ms86 ms
TTFT179 ms2.8 s
Load time3.9 s57.2 s
Memory usage3.9 GB9.1 GB
Memory %25%59%

HW Fit Score Breakdown

hf.co/mradermacher/gemm…

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

google/gemma-4-26b-a4b-…

Speed
22/50
TTFT
14/20
Memory
20/30

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

google/gemma-4-26b-a4b-…

Reasoning
17/20
Coding
19/20
Instruction
20/20
Structured
14/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View hf.co/mradermacher… details | View google/gemma-4-26b… 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