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exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

richardyoung/qwythos-9b-abliterated:Q8_0

OLLAMA GGUF

qwen35 · 9.0B · Q8_0

Good

Jun 28, 2026 · Apple M4 Pro

Global Score
75 vs 65
Hardware Fit
100 vs 96
Quality Score
64 vs 52

Hardware

exaone-3.5-2.4b-in… richardyoung/qwyth…
MachineMacBook AirMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM32 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.3macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

exaone-3.5-2.4b-in… richardyoung/qwyth…
Tokens/sec37.025.3
First chunk288 ms397 ms
TTFT288 ms397 ms
Load timeN/A6.3 s
Memory usage2.4 GB8.3 GB
Memory %8%34%

HW Fit Score Breakdown

exaone-3.5-2.4b-instruc…

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

richardyoung/qwythos-9b…

Speed
47/50
TTFT
20/20
Memory
29/30

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

richardyoung/qwythos-9b…

Reasoning
18/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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