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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

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

Global Score
80 vs 68
Hardware Fit
100 vs 93
Quality Score
71 vs 57

Hardware

gemma-3-4b-it-q4-k-m google/gemma-4-e4b
MachineMac ProLENOVO 82JQ
CPUIntel Core™ i5-10400AMD Ryzen 7 5800H
Cores1216
RAM32 GB16 GB
GPUAMD Radeon RX 6700 XTNVIDIA GeForce RTX 3060 Laptop GPU
OSmacOS 26.5.1Microsoft Windows 11 家庭版 中文版 10.0.26100
Archx64x64
Power Modebalancedbalanced

Performance

gemma-3-4b-it-q4-k-m google/gemma-4-e4b
Tokens/sec75.026.2
First chunk136 ms17 ms
TTFT136 ms572 ms
Load time0.0 sN/A
Memory usage0.8 GB6.5 GB
Memory %3%41%

HW Fit Score Breakdown

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

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

google/gemma-4-e4b

Speed
46/50
TTFT
20/20
Memory
27/30

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

google/gemma-4-e4b

Reasoning
17/20
Coding
19/20
Instruction
4/20
Structured
4/15
Math
12/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Weak Math: Strong Multilingual: Poor
View gemma-3-4b-it-q4-k-m details | View google/gemma-4-e4b 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