Back to leaderboard

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

unsloth/gemma-4-e2b-it@q8_0

LM-STUDIO GGUF

gemma4 · Q8_0

Good

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

Global Score
78 vs 75
Hardware Fit
68 vs 74
Quality Score
82 vs 76

Hardware

google/gemma-4-e4b… unsloth/gemma-4-e2…
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

google/gemma-4-e4b… unsloth/gemma-4-e2…
Tokens/sec11.413.0
First chunk26 ms62 ms
TTFT2.2 s1.5 s
Load time5.9 s7.8 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

unsloth/gemma-4-e2b-it@…

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

Quality

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
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

unsloth/gemma-4-e2b-it@…

Reasoning
11/20
Coding
16/20
Instruction
16/20
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