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exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

unsloth/gemma-4-e4b-it@q4_k_m

LM-STUDIO GGUF

gemma4 · Q4_K_M

Good

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

Global Score
75 vs 79
Hardware Fit
100 vs 68
Quality Score
64 vs 84

Hardware

exaone-3.5-2.4b-in… unsloth/gemma-4-e4…
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… unsloth/gemma-4-e4…
Tokens/sec37.010.8
First chunk288 ms32 ms
TTFT288 ms2.0 s
Load timeN/A9.2 s
Memory usage2.4 GB0.8 GB
Memory %8%5%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

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

unsloth/gemma-4-e4b-it@…

Speed
20/50
TTFT
18/20
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

unsloth/gemma-4-e4b-it@…

Reasoning
15/20
Coding
18/20
Instruction
17/20
Structured
15/15
Math
9/15
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 unsloth/gemma-4-e4… 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