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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

qwen/qwen3.8-27b

LM-STUDIO MLX

qwen3_5 · 27B · 8bit

Excellent

Aug 18, 2026 · Apple M4 Max

Global Score
66 vs 81
Hardware Fit
100 vs 68
Quality Score
52 vs 87

Hardware

hf.co/empero-ai/Qw… qwen/qwen3.8-27b
MachineMacBook ProMacBook Pro
CPUApple M4Apple M4 Max
Cores1016
RAM16 GB128 GB
GPUApple M4Apple M4 Max
OSmacOS 26.6.1macOS 26.5.2
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen/qwen3.8-27b
Tokens/sec26.516.4
First chunk447 ms5 ms
TTFT447 ms742 ms
Load time3.3 sN/A
Memory usage4.8 GB38.5 GB
Memory %30%30%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen/qwen3.8-27b

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

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

qwen/qwen3.8-27b

Reasoning
17/20
Coding
18/20
Instruction
16/20
Structured
15/15
Math
11/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View qwen/qwen3.8-27b details

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$ npm install -g metrillm@latest
$ metrillm

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Or run without installing: npx metrillm@latest