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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

Good

Mar 5, 2026 · Intel Gen Intel® Core™ i7-13700K

Global Score
81 vs 77
Hardware Fit
90 vs 75
Quality Score
77 vs 78

Hardware

gemma-4-e2b-it-qat qwen3.5:9b
MachineDocker ContainerASUS
CPUIntel Gen Intel® Core™ i9-11900HIntel Gen Intel® Core™ i7-13700K
Cores1624
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]NVIDIA GeForce RTX 3070
OSUbuntu 26.04 LTSMicrosoft Windows 11 Pro 10.0.26200
Archx64x64
Power Modeperformanceunknown

Performance

gemma-4-e2b-it-qat qwen3.5:9b
Tokens/sec22.230.5
First chunk67 ms291 ms
TTFT1.1 s291 ms
Load time5.4 s4.8 s
Memory usage0.0 GB8.8 GB
Memory %0%14%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

qwen3.5:9b

Speed
34/50
TTFT
20/20
Memory
21/30

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