gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
Mar 5, 2026 · AMD Ryzen 9 8945HS
Global Score
81 vs 62
Hardware Fit
90 vs 91
Quality Score
77 vs 50
Hardware
gemma-4-e2b-it-qat llama3.2:1b
MachineDocker ContainerASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 9 8945HS
Cores1616
RAM15 GB15 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M Graphics
OSUbuntu 26.04 LTSMicrosoft Windows 11 Home 10.0.26200
Archx64x64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat llama3.2:1b
Tokens/sec22.2170.2
First chunk67 ms142 ms
TTFT1.1 s142 ms
Load time5.4 s3.2 s
Memory usage0.0 GB1.6 GB
Memory %0%11%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
llama3.2:1b
Speed
50/50
TTFT
20/20
Memory
21/30
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
llama3.2:1b
Reasoning
4/20
Coding
13/20
Instruction
14/20
Structured
13/15
Math
0/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate
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