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gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Jun 13, 2026 · AMD Ryzen 9 3900X 12-Core Processor

Global Score
81 vs 82
Hardware Fit
90 vs 90
Quality Score
77 vs 79

Hardware

gemma-4-e2b-it-qat qwen3:14b
MachineDocker ContainerMicro-Star International Co., Ltd. MS-7C37
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 9 3900X 12-Core Processor
Cores1624
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]GameViewer Virtual Display Adapter, NVIDIA GeForce RTX 3080
OSUbuntu 26.04 LTSMicrosoft Windows 11 专业版 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it-qat qwen3:14b
Tokens/sec22.274.4
First chunk67 ms324 ms
TTFT1.1 s2.6 s
Load time5.4 s5.1 s
Memory usage0.0 GB9.0 GB
Memory %0%14%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

qwen3:14b

Speed
50/50
TTFT
10/20
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

qwen3:14b

Reasoning
18/20
Coding
11/20
Instruction
17/20
Structured
14/15
Math
10/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma-4-e2b-it-qat details | View qwen3:14b details

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