Back to leaderboard

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 12, 2026 · AMD Ryzen 5 5500

Global Score
81 vs 76
Hardware Fit
90 vs 100
Quality Score
77 vs 65

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/sec22.2161.3
First chunk67 ms51 ms
TTFT1.1 s51 ms
Load time5.4 s5.2 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
7/20
Coding
10/20
Instruction
11/20
Structured
15/15
Math
14/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e2b-it-qat details | View qwen3:1.7b 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