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gemma-4-e4b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

llama4:scout

OLLAMA GGUF

llama4 · 108.6B · Q4_K_M

Excellent

Oct 3, 2026 · Cortex-X925

Global Score
77 vs 81
Hardware Fit
59 vs 64
Quality Score
84 vs 88

Hardware

gemma-4-e4b-it@q5_… llama4:scout
MachineDocker ContainerNVIDIA NVIDIA_DGX_Spark
CPUIntel Gen Intel® Core™ i9-11900HCortex-X925
Cores1620
RAM15 GB122 GB
GPUTigerLake-H GT1 [UHD Graphics]Device 2e12
OSUbuntu 26.04 LTSUbuntu 24.04.5 LTS
Archx64arm64
Power Modeperformanceperformance

Performance

gemma-4-e4b-it@q5_… llama4:scout
Tokens/sec9.319.6
First chunk51 ms677 ms
TTFT3.4 s677 ms
Load time12.2 s13.1 s
Memory usage0.0 GB63.4 GB
Memory %0%52%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

Speed
17/50
TTFT
12/20
Memory
30/30

llama4:scout

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

Quality

gemma-4-e4b-it@q5_k_xl

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

llama4:scout

Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e4b-it@q5_… details | View llama4:scout 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