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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-Coder-30B:30B

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Aug 18, 2026 · Intel Core™ Ultra X7 358H

Global Score
81 vs 88
Hardware Fit
90 vs 91
Quality Score
77 vs 87

Hardware

gemma-4-e2b-it-qat Qwen3-Coder-30B:30B
MachineDocker ContainerGMKtec NucBox EVO-T2S
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ Ultra X7 358H
Cores1616
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Intel(R) Arc(TM) B390 GPU
OSUbuntu 26.04 LTSMicrosoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it-qat Qwen3-Coder-30B:30B
Tokens/sec22.232.2
First chunk67 ms540 ms
TTFT1.1 s540 ms
Load time5.4 s15.6 s
Memory usage0.0 GB17.7 GB
Memory %0%28%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

Qwen3-Coder-30B:30B

Speed
41/50
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

Qwen3-Coder-30B:30B

Reasoning
16/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e2b-it-qat details | View Qwen3-Coder-30B:30B 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