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gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

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

qwen3:8b

OLLAMA GGUF

qwen3 · 8.2B · Q4_K_M

Excellent

Apr 28, 2026 · Intel Xeon® Gold 6230

Global Score
81 vs 80
Hardware Fit
90 vs 85
Quality Score
77 vs 78

Hardware

gemma-4-e2b-it-qat qwen3:8b
MachineDocker ContainerHP HP Z8 G4 Workstation
CPUIntel Gen Intel® Core™ i9-11900HIntel Xeon® Gold 6230
Cores1680
RAM15 GB252 GB
GPUTigerLake-H GT1 [UHD Graphics]TU104GL [Quadro RTX 5000]
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modeperformancelow-power

Performance

gemma-4-e2b-it-qat qwen3:8b
Tokens/sec22.265.1
First chunk67 ms289 ms
TTFT1.1 s4.2 s
Load time5.4 s4.6 s
Memory usage0.0 GB5.6 GB
Memory %0%2%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

Speed
40/50
TTFT
20/20
Memory
30/30

qwen3:8b

Speed
50/50
TTFT
5/20
Memory
30/30

Quality

gemma-4-e2b-it-qat

Reasoning
10/20
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

qwen3:8b

Reasoning
17/20
Coding
10/20
Instruction
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e2b-it-qat details | View qwen3:8b 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