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gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

Kimi-48B:48B

OLLAMA GGUF

kimi-linear · 49.1B · unknown

Excellent

Aug 24, 2026 · Intel Core™ Ultra X7 358H

Global Score
79 vs 86
Hardware Fit
81 vs 78
Quality Score
78 vs 89

Hardware

gemma-4-e2b-it@q5_… Kimi-48B:48B
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@q5_… Kimi-48B:48B
Tokens/sec17.223.1
First chunk7 ms752 ms
TTFT1.6 s752 ms
Load time8.9 s22.2 s
Memory usage0.0 GB25.5 GB
Memory %0%40%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

Kimi-48B:48B

Speed
31/50
TTFT
20/20
Memory
27/30

Quality

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
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

Kimi-48B:48B

Reasoning
18/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e2b-it@q5_… details | View Kimi-48B:48B details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest