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gemma4:e4b-it-q8_0

OLLAMA GGUF

gemma4 · 8.0B · Q8_0

Excellent

Aug 25, 2026 · Apple M1 Pro

google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · 7.9B · Q4_K_M

Excellent

Sep 20, 2026 · AMD Ryzen 9 8940HX

Global Score
88 vs 83
Hardware Fit
100 vs 96
Quality Score
83 vs 78

Hardware

gemma4:e4b-it-q8_0 google/gemma-4-e4b
MachineMacBook ProASUSTeK COMPUTER INC. ROG Strix G16 G614PH_G614PH
CPUApple M1 ProAMD Ryzen 9 8940HX
Cores1032
RAM16 GB15 GB
GPUApple M1 ProNVIDIA GeForce RTX 5050 Laptop GPU, AMD Radeon(TM) 610M
OSmacOS 26.6.2Microsoft Windows 11 Home Single Language 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

gemma4:e4b-it-q8_0 google/gemma-4-e4b
Tokens/sec27.835.9
First chunk204 ms9 ms
TTFT204 ms182 ms
Load time6.6 sN/A
Memory usage5.0 GB6.5 GB
Memory %31%43%

HW Fit Score Breakdown

gemma4:e4b-it-q8_0

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

google/gemma-4-e4b

Speed
49/50
TTFT
20/20
Memory
27/30

Quality

gemma4:e4b-it-q8_0

Reasoning
14/20
Coding
19/20
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

google/gemma-4-e4b

Reasoning
14/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
6/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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