gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
llama3.2:latest
OLLAMA GGUFllama · 3.2B · Q4_K_M
May 27, 2026 · AMD Ryzen 5 2600X Six-Core Processor
Global Score
81 vs 76
Hardware Fit
90 vs 100
Quality Score
77 vs 65
Hardware
gemma-4-e2b-it-qat llama3.2:latest
MachineDocker ContainerMicro-Star International Co., Ltd. MS-7B79
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 5 2600X Six-Core Processor
Cores1612
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce GTX 1080
OSUbuntu 26.04 LTSMicrosoft Windows 11 Famille 10.0.26200
Archx64x64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat llama3.2:latest
Tokens/sec22.257.0
First chunk67 ms264 ms
TTFT1.1 s264 ms
Load time5.4 s9.7 s
Memory usage0.0 GB2.6 GB
Memory %0%16%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
llama3.2:latest
Speed
50/50
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
llama3.2:latest
Reasoning
11/20
Coding
15/20
Instruction
15/20
Structured
12/15
Math
3/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Poor 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