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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

muse-glimmer

OLLAMA GGUF
Good

Sep 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
79 vs 74
Hardware Fit
81 vs 41
Quality Score
78 vs 88

Hardware

gemma-4-e2b-it@q5_… muse-glimmer
MachineDocker ContainerAZW GTR Pro
CPUIntel Gen Intel® Core™ i9-11900HAMD RYZEN AI MAX+ 395
Cores1632
RAM15 GB125 GB
GPUTigerLake-H GT1 [UHD Graphics]Radeon 8060S
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modeperformancelow-power

Performance

gemma-4-e2b-it@q5_… muse-glimmer
Tokens/sec17.212.1
First chunk7 ms8749 ms
TTFT1.6 s8.7 s
Load time8.9 s0.3 s
Memory usage0.0 GB0.0 GB
Memory %0%0%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

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

muse-glimmer

Speed
10/50
TTFT
1/20
Memory
30/30

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

muse-glimmer

Reasoning
18/20
Coding
18/20
Instruction
13/20
Structured
14/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e2b-it@q5_… details | View muse-glimmer 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