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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

gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

Global Score
81 vs 79
Hardware Fit
90 vs 81
Quality Score
77 vs 78

Hardware

gemma-4-e2b-it-qat gemma-4-e2b-it@q5_…
MachineDocker ContainerDocker Container
CPUIntel Gen Intel® Core™ i9-11900HIntel Gen Intel® Core™ i9-11900H
Cores1616
RAM15 GB15 GB
GPUTigerLake-H GT1 [UHD Graphics]TigerLake-H GT1 [UHD Graphics]
OSUbuntu 26.04 LTSUbuntu 26.04 LTS
Archx64x64
Power Modeperformanceperformance

Performance

gemma-4-e2b-it-qat gemma-4-e2b-it@q5_…
Tokens/sec22.217.2
First chunk67 ms7 ms
TTFT1.1 s1.6 s
Load time5.4 s8.9 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
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

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

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