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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

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Oct 11, 2026 · AMD Ryzen 5 5500

Global Score
77 vs 74
Hardware Fit
59 vs 100
Quality Score
84 vs 63

Hardware

gemma-4-e4b-it@q5_… qwen3:0.6b
MachineDocker ContainerMicrosoft WSL
CPUIntel Gen Intel® Core™ i9-11900HAMD Ryzen 5 5500
Cores1612
RAM15 GB8 GB
GPUTigerLake-H GT1 [UHD Graphics]Integrated / Unknown
OSUbuntu 26.04 LTSUbuntu 26.04.1 LTS
Archx64x64
Power Modeperformanceunknown

Performance

gemma-4-e4b-it@q5_… qwen3:0.6b
Tokens/sec9.3249.5
First chunk51 ms80 ms
TTFT3.4 s659 ms
Load time12.2 s6.3 s
Memory usage0.0 GB0.9 GB
Memory %0%11%

HW Fit Score Breakdown

gemma-4-e4b-it@q5_k_xl

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

qwen3:0.6b

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

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

qwen3:0.6b

Reasoning
13/20
Coding
6/20
Instruction
12/20
Structured
13/15
Math
12/15
Multilingual
7/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate
View gemma-4-e4b-it@q5_… details | View qwen3:0.6b 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