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google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

gemma4:26b

OLLAMA GGUF

gemma4 · 25.2B · Q4_K_M

Not Rec.

Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor

Global Score
78 vs 84
Hardware Fit
68 vs 80
Quality Score
82 vs 86

Hardware

google/gemma-4-e4b… gemma4:26b
MachineDocker ContainerSystem manufacturer
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 9 5950X 16-Core Processor
Cores1632
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 3090
OSUbuntu 26.04 LTSMicrosoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modeperformancebalanced

Performance

google/gemma-4-e4b… gemma4:26b
Tokens/sec11.4147.6
First chunk26 ms139 ms
TTFT2.2 s30.0 s
Load time5.9 s21.3 s
Memory usage0.0 GB1.7 GB
Memory %0%5%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

gemma4:26b

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

Quality

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

gemma4:26b

Reasoning
17/20
Coding
14/20
Instruction
18/20
Structured
15/15
Math
13/15
Multilingual
9/10
Reasoning: Strong 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