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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

qwen3.5:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Good

Mar 6, 2026 · AMD RYZEN AI MAX+ 395 w/ Radeon 8060S

Global Score
81 vs 79
Hardware Fit
90 vs 57
Quality Score
77 vs 89

Hardware

gemma-4-e2b-it-qat qwen3.5:27b
MachineDocker ContainerAZW GTR Pro
CPUIntel Gen Intel® Core™ i9-11900HAMD RYZEN AI MAX+ 395 w/ Radeon 8060S
Cores1632
RAM15 GB125 GB
GPUTigerLake-H GT1 [UHD Graphics]Integrated / Apple Silicon
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modeperformanceperformance

Performance

gemma-4-e2b-it-qat qwen3.5:27b
Tokens/sec22.210.7
First chunk67 ms341 ms
TTFT1.1 s341 ms
Load time5.4 s10.2 s
Memory usage0.0 GB39.7 GB
Memory %0%32%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

qwen3.5:27b

Speed
9/50
TTFT
20/20
Memory
28/30

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

qwen3.5:27b

Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
View gemma-4-e2b-it-qat details | View qwen3.5:27b 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