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hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

qwen3:14b

OLLAMA GGUF

qwen3 · 14.8B · Q4_K_M

Excellent

Jun 13, 2026 · AMD Ryzen 9 3900X 12-Core Processor

Global Score
66 vs 82
Hardware Fit
100 vs 90
Quality Score
52 vs 79

Hardware

hf.co/empero-ai/Qw… qwen3:14b
MachineMacBook ProMicro-Star International Co., Ltd. MS-7C37
CPUApple M1 ProAMD Ryzen 9 3900X 12-Core Processor
Cores1024
RAM16 GB64 GB
GPUApple M1 ProGameViewer Virtual Display Adapter, NVIDIA GeForce RTX 3080
OSmacOS 26.6.2Microsoft Windows 11 专业版 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen3:14b
Tokens/sec40.474.4
First chunk93 ms324 ms
TTFT93 ms2.6 s
Load time2.7 s5.1 s
Memory usage4.7 GB9.0 GB
Memory %30%14%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3:14b

Speed
50/50
TTFT
10/20
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

qwen3:14b

Reasoning
18/20
Coding
11/20
Instruction
17/20
Structured
14/15
Math
10/15
Multilingual
9/10
Reasoning: Strong Coding: Adequate Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong

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