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

orcarouter/Qwen3.8-27B-Uncensored:iq4_xs

OLLAMA GGUF

qwen35 · 27.3B · IQ4_XS

Excellent

Sep 11, 2026 · Intel Core™ i5-10400

Global Score
81 vs 88
Hardware Fit
90 vs 69
Quality Score
77 vs 96

Hardware

gemma-4-e2b-it-qat orcarouter/Qwen3.8…
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-10400
Cores1612
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Todesk Virtual Display Adapter, AskLink Display Adapter (SDR), OrayIddDriver Device, NVIDIA GeForce RTX 3080
OSUbuntu 26.04 LTSMicrosoft Windows 10 专业版 10.0.19045
Archx64x64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it-qat orcarouter/Qwen3.8…
Tokens/sec22.239.5
First chunk67 ms220 ms
TTFT1.1 s3.2 s
Load time5.4 s13.7 s
Memory usage0.0 GB14.2 GB
Memory %0%89%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

orcarouter/Qwen3.8-27B-…

Speed
50/50
TTFT
14/20
Memory
5/30

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

orcarouter/Qwen3.8-27B-…

Reasoning
19/20
Coding
19/20
Instruction
18/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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