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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

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Apr 29, 2026 · Intel Core™ i5-8350U

Global Score
81 vs 61
Hardware Fit
90 vs 85
Quality Score
77 vs 51

Hardware

gemma-4-e2b-it-qat qwen3:0.6b
MachineDocker ContainerLENOVO 20L7CTO1WW
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-8350U
Cores168
RAM15 GB23 GB
GPUTigerLake-H GT1 [UHD Graphics]Kaby Lake-R GT2 [UHD Graphics 620]
OSUbuntu 26.04 LTSFedora Linux 43
Archx64x64
Power Modeperformancelow-power

Performance

gemma-4-e2b-it-qat qwen3:0.6b
Tokens/sec22.227.0
First chunk67 ms597 ms
TTFT1.1 s8.7 s
Load time5.4 s1.8 s
Memory usage0.0 GB0.9 GB
Memory %0%4%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

qwen3:0.6b

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

qwen3:0.6b

Reasoning
14/20
Coding
0/20
Instruction
9/20
Structured
12/15
Math
9/15
Multilingual
7/10
Reasoning: Adequate Coding: Poor Instruction Following: Weak Structured Output: Strong Math: Adequate Multilingual: Adequate
View gemma-4-e2b-it-qat 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