gemma-4-e2b-it-qat
LM-STUDIO GGUFgemma4 · Q4_K_XL
Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H
Kimi-48B:48B
OLLAMA GGUFkimi-linear · 49.1B · unknown
Aug 19, 2026 · Intel Core™ i7-14700F
Global Score
81 vs 85
Hardware Fit
90 vs 83
Quality Score
77 vs 86
Hardware
gemma-4-e2b-it-qat Kimi-48B:48B
MachineDocker ContainerHP OMEN 35L VALORANT Limited Edition Gaming Desktop PC
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i7-14700F
Cores1628
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 5080
OSUbuntu 26.04 LTSMicrosoft Windows 11 Enterprise 10.0.26200
Archx64x64
Power Modeperformancebalanced
Performance
gemma-4-e2b-it-qat Kimi-48B:48B
Tokens/sec22.232.8
First chunk67 ms724 ms
TTFT1.1 s724 ms
Load time5.4 s20.9 s
Memory usage0.0 GB25.8 GB
Memory %0%41%
HW Fit Score Breakdown
gemma-4-e2b-it-qat
Speed
40/50
TTFT
20/20
Memory
30/30
Kimi-48B:48B
Speed
36/50
TTFT
20/20
Memory
27/30
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
Kimi-48B:48B
Reasoning
16/20
Coding
17/20
Instruction
15/20
Structured
15/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest