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hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

qwen3.8-27b-mlx

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Marginal

Aug 17, 2026 · Apple M5 Max

Global Score
66 vs 59
Hardware Fit
100 vs 63
Quality Score
52 vs 58

Hardware

hf.co/empero-ai/Qw… qwen3.8-27b-mlx
MachineMacBook ProMacBook Pro
CPUApple M4Apple M5 Max
Cores1018
RAM16 GB64 GB
GPUApple M4Apple M5 Max
OSmacOS 26.6.1macOS 27.0
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen3.8-27b-mlx
Tokens/sec26.518.3
First chunk447 ms4 ms
TTFT447 ms530 ms
Load time3.3 sN/A
Memory usage4.8 GB38.5 GB
Memory %30%60%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3.8-27b-mlx

Speed
23/50
TTFT
20/20
Memory
20/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

qwen3.8-27b-mlx

Reasoning
19/20
Coding
14/20
Instruction
6/20
Structured
1/15
Math
13/15
Multilingual
5/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
View hf.co/empero-ai/Qw… details | View qwen3.8-27b-mlx details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest