exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

hf.co/bartowski/ai9stars_G9v3-3B-GGUF:BF16

OLLAMA GGUF

llama · 2.99B · BF16

Good

Aug 25, 2026 · Apple M1 Pro

Global Score

75 vs 76

Hardware Fit

100 vs 92

Quality Score

64 vs 69

Hardware

exaone-3.5-2.4b-in… hf.co/bartowski/ai…

MachineMacBook AirMacBook Pro

CPUApple M4Apple M1 Pro

Cores1010

RAM32 GB16 GB

GPUApple M4Apple M1 Pro

OSmacOS 26.3macOS 26.6.2

Archarm64arm64

Power Modebalancedbalanced

Performance

exaone-3.5-2.4b-in… hf.co/bartowski/ai…

Tokens/sec37.029.9

First chunk288 ms105 ms

TTFT288 ms105 ms

Load timeN/A3.4 s

Memory usage2.4 GB8.9 GB

Memory %8%56%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

Speed

50/50

TTFT

20/20

Memory

30/30

hf.co/bartowski/ai9star…

Speed

50/50

TTFT

20/20

Memory

22/30

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

hf.co/bartowski/ai9star…

Reasoning

11/20

Coding

13/20

Instruction

12/20

Structured

15/15

Math

10/15

Multilingual

8/10

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

View exaone-3.5-2.4b-in… details | View hf.co/bartowski/ai… 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