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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

qwen3:1.7b

OLLAMA GGUF

qwen3 · 2.0B · Q4_K_M

Good

Oct 11, 2026 · AMD Ryzen 5 5500

Global Score
81 vs 79
Hardware Fit
90 vs 100
Quality Score
77 vs 70

Hardware

gemma-4-e2b-it-qat qwen3:1.7b
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-e2b-it-qat qwen3:1.7b
Tokens/sec22.2191.4
First chunk67 ms70 ms
TTFT1.1 s1.1 s
Load time5.4 s4.6 s
Memory usage0.0 GB1.6 GB
Memory %0%21%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

qwen3:1.7b

Speed
50/50
TTFT
20/20
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

qwen3:1.7b

Reasoning
16/20
Coding
7/20
Instruction
14/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Strong Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong

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