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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

qwen3.8-27b-mlx

LM-STUDIO UNKNOWN

27B

Good

Aug 17, 2026 · Apple M5 Max

Global Score
78 vs 66
Hardware Fit
68 vs 91
Quality Score
82 vs 55

Hardware

google/gemma-4-e4b… qwen3.8-27b-mlx
MachineDocker ContainerMacBook Pro
CPUIntel Gen Intel® Core™ i9-11900HApple M5 Max
Cores1618
RAM15 GB64 GB
GPUTigerLake-H GT1 [UHD Graphics]Apple M5 Max
OSUbuntu 26.04 LTSmacOS 27.0
Archx64arm64
Power Modeperformancebalanced

Performance

google/gemma-4-e4b… qwen3.8-27b-mlx
Tokens/sec11.433.2
First chunk26 ms7 ms
TTFT2.2 s311 ms
Load time5.9 sN/A
Memory usage0.0 GB0.5 GB
Memory %0%1%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

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

qwen3.8-27b-mlx

Speed
41/50
TTFT
20/20
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

qwen3.8-27b-mlx

Reasoning
19/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
3/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View google/gemma-4-e4b… details | View qwen3.8-27b-mlx details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest