hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
qwen3.6:27b
OLLAMA GGUFqwen35 · 27.8B · Q4_K_M
Apr 23, 2026 · AMD RYZEN AI MAX+ 395
Global Score
66 vs 80
Hardware Fit
100 vs 60
Quality Score
52 vs 89
Hardware
hf.co/empero-ai/Qw… qwen3.6:27b
MachineMacBook ProAZW GTR Pro
CPUApple M1 ProAMD RYZEN AI MAX+ 395
Cores1032
RAM16 GB125 GB
GPUApple M1 ProRadeon 8060S
OSmacOS 26.6.2Ubuntu 24.04.4 LTS
Archarm64x64
Power Modebalancedlow-power
Performance
hf.co/empero-ai/Qw… qwen3.6:27b
Tokens/sec40.211.2
First chunk325 ms429 ms
TTFT325 ms429 ms
Load time3.1 s8.8 s
Memory usage4.7 GB39.7 GB
Memory %30%32%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.6:27b
Speed
10/50
TTFT
20/20
Memory
30/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak
qwen3.6:27b
Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest