gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
qwen3.5:4b
OLLAMA GGUFqwen35 · 4.2B · Q4_K_M
Oct 12, 2026 · AMD Ryzen 5 5500
Global Score
81 vs 81
Hardware Fit
90 vs 98
Quality Score
77 vs 74
Hardware
gemma-4-e2b-it-qat qwen3.5:4b
MachineDocker ContainerMicrosoft WSL
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 5 5500
Cores1612
RAM15 GB8 GB
GPUTigerLake-H GT1 [UHD Graphics]Integrated / Unknown
OSUbuntu 26.04 LTSUbuntu 26.04.1 LTS
Archx64x64
Power Modeperformanceunknown
Performance
gemma-4-e2b-it-qat qwen3.5:4b
Tokens/sec22.293.7
First chunk67 ms249 ms
TTFT1.1 s249 ms
Load time5.4 s10.1 s
Memory usage0.0 GB2.9 GB
Memory %0%38%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
qwen3.5:4b
Speed
50/50
TTFT
20/20
Memory
28/30
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
qwen3.5:4b
Reasoning
15/20
Coding
13/20
Instruction
15/20
Structured
15/15
Math
7/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak 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