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google/gemma-4-e4b

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

Jul 7, 2026 · AMD Ryzen 7 5800H

maternion/ling-3.0-tiny:8b

OLLAMA GGUF

bailingmoe3 · 7.9B · Q4_K_M

Good

Aug 24, 2026 · Apple M1 Pro

Global Score
62 vs 68
Hardware Fit
77 vs 98
Quality Score
55 vs 55

Hardware

google/gemma-4-e4b maternion/ling-3.0…
MachineLENOVO 82JQMacBook Pro
CPUAMD Ryzen 7 5800HApple M1 Pro
Cores1610
RAM16 GB16 GB
GPUNVIDIA GeForce RTX 3060 Laptop GPUApple M1 Pro
OSMicrosoft Windows 11 家庭版 中文版 10.0.26100macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced

Performance

google/gemma-4-e4b maternion/ling-3.0…
Tokens/sec27.673.6
First chunk23 ms190 ms
TTFT480 ms190 ms
Load timeN/A2.9 s
Memory usage13.2 GB5.9 GB
Memory %83%37%

HW Fit Score Breakdown

google/gemma-4-e4b

Speed
48/50
TTFT
20/20
Memory
9/30

maternion/ling-3.0-tiny…

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

google/gemma-4-e4b

Reasoning
18/20
Coding
17/20
Instruction
5/20
Structured
3/15
Math
11/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

maternion/ling-3.0-tiny…

Reasoning
19/20
Coding
17/20
Instruction
3/20
Structured
0/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

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