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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

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
81 vs 64
Hardware Fit
90 vs 69
Quality Score
77 vs 62

Hardware

gemma-4-e2b-it-qat qwen3.5:4b
MachineDocker ContainerLENOVO 20U30029MB
CPUIntel Gen Intel® Core™ i9-11900HIntel Core™ i5-10210U
Cores168
RAM15 GB15 GB
GPUTigerLake-H GT1 [UHD Graphics]CometLake-U GT2 [UHD Graphics]
OSUbuntu 26.04 LTSPop 24.04 LTS
Archx64x64
Power Modeperformanceperformance

Performance

gemma-4-e2b-it-qat qwen3.5:4b
Tokens/sec22.27.4
First chunk67 ms1815 ms
TTFT1.1 s1.8 s
Load time5.4 s10.9 s
Memory usage0.0 GB3.5 GB
Memory %0%23%

HW Fit Score Breakdown

gemma-4-e2b-it-qat

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

qwen3.5:4b

Speed
19/50
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

qwen3.5:4b

Reasoning
15/20
Coding
14/20
Instruction
6/20
Structured
12/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Weak Multilingual: Strong
View gemma-4-e2b-it-qat details | View qwen3.5:4b 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