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hf.co/unsloth/Qwen3.8-27B-GGUF:UD-IQ1_S

OLLAMA GGUF

qwen35 · 27.3B · unknown

Marginal

Aug 25, 2026 · Apple M1 Pro

exaone-3.5-2.4b-instruct-mlx

LM-STUDIO MLX

exaone · 2.4B · 8bit

Good

Mar 4, 2026 · Apple M4

Global Score
46 vs 75
Hardware Fit
50 vs 100
Quality Score
44 vs 64

Hardware

hf.co/unsloth/Qwen… exaone-3.5-2.4b-in…
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/unsloth/Qwen… exaone-3.5-2.4b-in…
Tokens/sec6.037.0
First chunk2377 ms288 ms
TTFT2.2 s288 ms
Load time6.8 sN/A
Memory usage10.6 GB2.4 GB
Memory %66%8%

HW Fit Score Breakdown

hf.co/unsloth/Qwen3.8-2…

Speed
15/50
TTFT
18/20
Memory
17/30

exaone-3.5-2.4b-instruc…

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

Quality

hf.co/unsloth/Qwen3.8-2…

Reasoning
8/20
Coding
5/20
Instruction
10/20
Structured
11/15
Math
3/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Adequate Math: Poor Multilingual: Adequate

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
View hf.co/unsloth/Qwen… details | View exaone-3.5-2.4b-in… 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