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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

qwen2-57b:57B

OLLAMA GGUF

qwen2moe · 57.4B · Q4_K_M

Good

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

Global Score
81 vs 67
Hardware Fit
90 vs 51
Quality Score
77 vs 74

Hardware

gemma-4-e2b-it-qat qwen2-57b:57B
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 qwen2-57b:57B
Tokens/sec22.28.6
First chunk67 ms1573 ms
TTFT1.1 s1.6 s
Load time5.4 s29.0 s
Memory usage0.0 GB32.8 GB
Memory %0%52%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

qwen2-57b:57B

Speed
10/50
TTFT
17/20
Memory
24/30

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

qwen2-57b:57B

Reasoning
13/20
Coding
14/20
Instruction
15/20
Structured
14/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View gemma-4-e2b-it-qat details | View qwen2-57b:57B 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