exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

google/gemma-4-e4b-it-qat

LM-STUDIO GGUF

gemma4 · Q4_0

Good

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

Global Score

75 vs 78

Hardware Fit

100 vs 68

Quality Score

64 vs 82

Hardware

exaone-3.5-2.4b-in… google/gemma-4-e4b…

MachineMacBook AirDocker Container

CPUApple M4Intel Gen Intel® Core™ i9-11900H

Cores1016

RAM32 GB15 GB

GPUApple M4TigerLake-H GT1 [UHD Graphics]

OSmacOS 26.3Ubuntu 26.04 LTS

Archarm64x64

Power Modebalancedperformance

Performance

exaone-3.5-2.4b-in… google/gemma-4-e4b…

Tokens/sec37.011.4

First chunk288 ms26 ms

TTFT288 ms2.2 s

Load timeN/A5.9 s

Memory usage2.4 GB0.0 GB

Memory %8%0%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

Speed

50/50

TTFT

20/20

Memory

30/30

google/gemma-4-e4b-it-qat

Speed

21/50

TTFT

17/20

Memory

30/30

Quality

exaone-3.5-2.4b-instruc…

Reasoning

9/20

Coding

13/20

Instruction

15/20

Structured

14/15

Math

5/15

Multilingual

8/10

Reasoning: Weak Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Weak Multilingual: Strong

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

View exaone-3.5-2.4b-in… details | View google/gemma-4-e4b… 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