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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

qwen3.8:latest

OLLAMA GGUF

qwen35 · 27.3B · Q4_K_M

Good

Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor

Global Score
77 vs 68
Hardware Fit
59 vs 22
Quality Score
84 vs 88

Hardware

gemma-4-e4b-it@q5_… qwen3.8:latest
MachineDocker ContainerSystem manufacturer
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 9 5950X 16-Core Processor
Cores1632
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 3090
OSUbuntu 26.04 LTSMicrosoft Windows 11 Pro 10.0.26300
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e4b-it@q5_… qwen3.8:latest
Tokens/sec9.310.0
First chunk51 ms1041 ms
TTFT3.4 s14.3 s
Load time12.2 s22.3 s
Memory usage0.0 GB26.2 GB
Memory %0%82%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

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

qwen3.8:latest

Speed
12/50
TTFT
1/20
Memory
9/30

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

qwen3.8:latest

Reasoning
19/20
Coding
19/20
Instruction
10/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e4b-it@q5_… details | View qwen3.8:latest 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