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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

qwen3.5:9b

OLLAMA GGUF

qwen35 · 9.7B · Q4_K_M

Marginal

Mar 5, 2026 · AMD RYZEN AI MAX+ 395

Global Score
81 vs 57
Hardware Fit
90 vs 61
Quality Score
77 vs 55

Hardware

gemma-4-e2b-it-qat qwen3.5:9b
MachineDocker ContainerAZW GTR Pro
CPUIntel Gen Intel® Core™ i9-11900HAMD RYZEN AI MAX+ 395
Cores1632
RAM15 GB125 GB
GPUTigerLake-H GT1 [UHD Graphics]AMD Radeon 8060S
OSUbuntu 26.04 LTSUbuntu 24.04.4 LTS
Archx64x64
Power Modeperformancelow-power

Performance

gemma-4-e2b-it-qat qwen3.5:9b
Tokens/sec22.230.3
First chunk67 ms205 ms
TTFT1.1 s8.7 s
Load time5.4 s5.6 s
Memory usage0.0 GB18.8 GB
Memory %0%15%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

qwen3.5:9b

Speed
30/50
TTFT
1/20
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

qwen3.5:9b

Reasoning
17/20
Coding
2/20
Instruction
7/20
Structured
8/15
Math
12/15
Multilingual
9/10
Reasoning: Strong Coding: Poor Instruction Following: Weak Structured Output: Adequate Math: Strong Multilingual: Strong
View gemma-4-e2b-it-qat details | View qwen3.5:9b 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