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google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

solar:10.7b

OLLAMA GGUF

llama · 11B · Q4_0

Good

Mar 2, 2026 · Apple M4

Global Score
78 vs 63
Hardware Fit
68 vs 87
Quality Score
82 vs 52

Hardware

google/gemma-4-e4b… solar:10.7b
MachineDocker ContainerMacBook Air
CPUIntel Gen Intel® Core™ i9-11900HApple M4
Cores1610
RAM15 GB32 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M4
OSUbuntu 26.04 LTSmacOS 26.3
Archx64arm64
Power Modeperformancebalanced

Performance

google/gemma-4-e4b… solar:10.7b
Tokens/sec11.415.8
First chunk26 msN/A
TTFT2.2 s353 ms
Load time5.9 s0.4 s
Memory usage0.0 GB6.6 GB
Memory %0%21%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

Speed
21/50
TTFT
17/20
Memory
30/30

solar:10.7b

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

Quality

google/gemma-4-e4b-it-qat

Reasoning
14/20
Coding
18/20
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

solar:10.7b

Reasoning
8/20
Coding
8/20
Instruction
11/20
Structured
14/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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