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gemma-4-e2b-it@q5_k_xl

LM-STUDIO GGUF

gemma4 · Q5_K_XL

Good

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

maternion/ling-3.0-tiny:8b

OLLAMA GGUF

bailingmoe3 · 7.9B · Q4_K_M

Good

Aug 26, 2026 · Apple M1 Pro

Global Score
79 vs 68
Hardware Fit
81 vs 98
Quality Score
78 vs 55

Hardware

gemma-4-e2b-it@q5_… maternion/ling-3.0…
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M1 Pro
Cores1610
RAM15 GB16 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M1 Pro
OSUbuntu 26.04 LTSmacOS 26.6.2
Archx64arm64
Power Modeperformancebalanced

Performance

gemma-4-e2b-it@q5_… maternion/ling-3.0…
Tokens/sec17.272.1
First chunk7 ms175 ms
TTFT1.6 s175 ms
Load time8.9 s3.6 s
Memory usage0.0 GB5.9 GB
Memory %0%37%

HW Fit Score Breakdown

gemma-4-e2b-it@q5_k_xl

Speed
32/50
TTFT
19/20
Memory
30/30

maternion/ling-3.0-tiny…

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

Quality

gemma-4-e2b-it@q5_k_xl

Reasoning
11/20
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

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