gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
gemma4:26b
OLLAMA GGUFgemma4 · 25.8B · Q4_K_M
Apr 3, 2026 · AMD RYZEN AI MAX+ 395
Global Score
81 vs 89
Hardware Fit
90 vs 95
Quality Score
77 vs 87
Hardware
gemma-4-e2b-it-qat gemma4:26b
MachineDocker ContainerAZW GTR Pro
CPUIntel Gen Intel® Core™ i9-11900HAMD RYZEN AI MAX+ 395
Cores1632
RAM15 GB125 GB
GPUTigerLake-H GT1 [UHD Graphics]Radeon 8060S
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modeperformanceperformance
Performance
gemma-4-e2b-it-qat gemma4:26b
Tokens/sec22.248.3
First chunk67 ms346 ms
TTFT1.1 s346 ms
Load time5.4 s4.4 s
Memory usage0.0 GB36.1 GB
Memory %0%29%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
gemma4:26b
Speed
45/50
TTFT
20/20
Memory
30/30
Quality
gemma-4-e2b-it-qat
Reasoning
10/20
Coding
17/20
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
16/20
Coding
19/20
Instruction
16/20
Structured
14/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest