qwen3:14b
OLLAMA GGUFqwen3 · 14.8B · Q4_K_M
Mar 19, 2026 · Apple M4
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Global Score
82 vs 76
Hardware Fit
71 vs 100
Quality Score
86 vs 66
Hardware
qwen3:14b hf.co/empero-ai/Qw…
MachineMac miniMacBook Pro
CPUApple M4Apple M1 Pro
Cores1010
RAM24 GB16 GB
GPUApple M4Apple M1 Pro
OSmacOS 26.3macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced
Performance
qwen3:14b hf.co/empero-ai/Qw…
Tokens/sec10.340.3
First chunk513 ms101 ms
TTFT513 ms101 ms
Load time7.2 s2.7 s
Memory usage9.4 GB4.5 GB
Memory %39%28%
HW Fit Score Breakdown
qwen3:14b
Speed
23/50
TTFT
20/20
Memory
28/30
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
14/20
Structured
15/15
Math
12/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
hf.co/empero-ai/Qwen3.8…
Reasoning
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate 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