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qwen3.6:27b

OLLAMA GGUF

qwen35 · 27.8B · Q4_K_M

Not Rec.

Jun 25, 2026 · Apple M4 Pro

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

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

Global Score
20 vs 66
Hardware Fit
34 vs 100
Quality Score
14 vs 52

Hardware

qwen3.6:27b hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4 ProApple M4
Cores1210
RAM24 GB16 GB
GPUApple M4 ProApple M4
OSmacOS 15.6.1macOS 26.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

qwen3.6:27b hf.co/empero-ai/Qw…
Tokens/sec10.626.5
First chunk1344 ms447 ms
TTFT30.0 s447 ms
Load time0.2 s3.3 s
Memory usage18.1 GB4.8 GB
Memory %75%30%

HW Fit Score Breakdown

qwen3.6:27b

Speed
22/50
TTFT
0/20
Memory
12/30

hf.co/empero-ai/Qwen3.8…

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

Quality

qwen3.6:27b

Reasoning
2/20
Coding
1/20
Instruction
2/20
Structured
1/15
Math
2/15
Multilingual
6/10
Reasoning: Poor Coding: Poor Instruction Following: Poor Structured Output: Poor Math: Poor Multilingual: Adequate

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

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