hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
qwen3.5:9b
OLLAMA GGUFqwen35 · 9.7B · Q4_K_M
Mar 7, 2026 · AMD Ryzen 5 5500
Global Score
66 vs 71
Hardware Fit
100 vs 56
Quality Score
52 vs 78
Hardware
hf.co/empero-ai/Qw… qwen3.5:9b
MachineMacBook ProSystem manufacturer
CPUApple M1 ProAMD Ryzen 5 5500
Cores1012
RAM16 GB16 GB
GPUApple M1 ProNVIDIA GeForce RTX 3060
OSmacOS 26.6.2Microsoft Windows 11 IoT Enterprise LTSC 10.0.26100
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen3.5:9b
Tokens/sec40.45.3
First chunk93 ms1624 ms
TTFT93 ms1.6 s
Load time2.7 s4.0 s
Memory usage4.7 GB7.9 GB
Memory %30%50%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:9b
Speed
11/50
TTFT
20/20
Memory
25/30
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
qwen3.5:9b
Reasoning
14/20
Coding
17/20
Instruction
12/20
Structured
15/15
Math
10/15
Multilingual
10/10
Reasoning: Adequate Coding: Strong 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