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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

Qwen3-30B:30b

OLLAMA GGUF

qwen3moe · 30.5B · Q4_K_M

Excellent

Aug 19, 2026 · AMD Ryzen 9 9955HX3D 16-Core Processor

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

Hardware

gemma-4-e2b-it-qat Qwen3-30B:30b
MachineDocker ContainerHP HyperX OMEN Gaming Laptop 16-ap1xxx
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 9 9955HX3D 16-Core Processor
Cores1632
RAM15 GB31 GB
GPUTigerLake-H GT1 [UHD Graphics]AMD Radeon(TM) 610M, NVIDIA GeForce RTX 5070 Laptop GPU
OSUbuntu 26.04 LTSMicrosoft Windows 11 Home 10.0.26200
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it-qat Qwen3-30B:30b
Tokens/sec22.242.5
First chunk67 ms442 ms
TTFT1.1 s442 ms
Load time5.4 s21.7 s
Memory usage0.0 GB17.9 GB
Memory %0%58%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

Qwen3-30B:30b

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

Qwen3-30B: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 Qwen3-30B: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