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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

qwen2.5-math-1.5b-instruct

LM-STUDIO MLX

qwen2 · 1.5B · 4bit

Marginal

Mar 4, 2026 · Apple M4

Global Score
78 vs 45
Hardware Fit
68 vs 99
Quality Score
82 vs 22

Hardware

google/gemma-4-e4b… qwen2.5-math-1.5b-…
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… qwen2.5-math-1.5b-…
Tokens/sec11.491.7
First chunk26 ms205 ms
TTFT2.2 s205 ms
Load time5.9 sN/A
Memory usage0.0 GB0.8 GB
Memory %0%3%

HW Fit Score Breakdown

google/gemma-4-e4b-it-qat

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

qwen2.5-math-1.5b-instr…

Speed
50/50
TTFT
20/20
Memory
29/30

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

qwen2.5-math-1.5b-instr…

Reasoning
2/20
Coding
0/20
Instruction
3/20
Structured
1/15
Math
14/15
Multilingual
2/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
View google/gemma-4-e4b… details | View qwen2.5-math-1.5b-… details

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