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gemma-3-4b-it-q4-k-m

OLLAMA GGUF

llama · 4B · Q4_K_M

Excellent

Jul 9, 2026 · Intel Core™ i5-10400

gemma-4-e2b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_K_XL

Excellent

Jun 29, 2026 · Intel Gen Intel® Core™ i9-11900H

Global Score
80 vs 81
Hardware Fit
100 vs 90
Quality Score
71 vs 77

Hardware

gemma-3-4b-it-q4-k-m gemma-4-e2b-it-qat
MachineMac ProDocker Container
CPUIntel Core™ i5-10400Intel Gen Intel® Core™ i9-11900H
Cores1216
RAM32 GB15 GB
GPUAMD Radeon RX 6700 XTTigerLake-H GT1 [UHD Graphics]
OSmacOS 26.5.1Ubuntu 26.04 LTS
Archx64x64
Power Modebalancedperformance

Performance

gemma-3-4b-it-q4-k-m gemma-4-e2b-it-qat
Tokens/sec75.022.2
First chunk136 ms67 ms
TTFT136 ms1.1 s
Load time0.0 s5.4 s
Memory usage0.8 GB0.0 GB
Memory %3%0%

HW Fit Score Breakdown

gemma-3-4b-it-q4-k-m

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

gemma-4-e2b-it-qat

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

Quality

gemma-3-4b-it-q4-k-m

Reasoning
11/20
Coding
17/20
Instruction
14/20
Structured
14/15
Math
5/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Strong

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
View gemma-3-4b-it-q4-k-m details | View gemma-4-e2b-it-qat 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