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google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

qwen3:4b

OLLAMA GGUF

qwen3 · 4.0B · Q4_K_M

Not Rec.

Jun 26, 2026 · Cortex-A78AE

Global Score
78 vs 32
Hardware Fit
68 vs 98
Quality Score
82 vs 4

Hardware

google/gemma-4-e4b… qwen3:4b
MachineDocker ContainerNVIDIA NVIDIA Jetson Orin Nano Engineering Reference Developer Kit Super
CPUIntel Gen Intel® Core™ i9-11900HCortex-A78AE
Cores166
RAM15 GB7 GB
GPUTigerLake-H GT1 [UHD Graphics]Integrated / Unknown
OSUbuntu 26.04 LTSUbuntu 22.04.5 LTS
Archx64arm64
Power Modeperformancebalanced

Performance

google/gemma-4-e4b… qwen3:4b
Tokens/sec11.417.9
First chunk26 ms950 ms
TTFT2.2 s950 ms
Load time5.9 s9.7 s
Memory usage0.0 GB3.0 GB
Memory %0%40%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

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

qwen3:4b

Speed
50/50
TTFT
20/20
Memory
28/30

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

qwen3:4b

Reasoning
4/20
Coding
0/20
Instruction
0/20
Structured
0/15
Math
0/15
Multilingual
0/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Poor

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