qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 5, 2026 · Apple M1 Max
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
Global Score
90 vs 66
Hardware Fit
97 vs 100
Quality Score
87 vs 52
Hardware
qwen3:14b hf.co/empero-ai/Qw…
MachineMacBook ProMacBook Pro
CPUApple M1 MaxApple M1 Pro
Cores1010
RAM32 GB16 GB
GPUApple M1 MaxApple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3:14b hf.co/empero-ai/Qw…
Tokens/sec24.040.4
First chunk300 ms93 ms
TTFT300 ms93 ms
Load time3.6 s2.7 s
Memory usage13.8 GB4.7 GB
Memory %43%30%
HW Fit Score Breakdown
qwen3:14b
Speed
47/50
TTFT
20/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
qwen3:14b
Reasoning
17/20
Coding
18/20
Instruction
15/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong Multilingual: Strong
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
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