hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
qwen3.8:latest
OLLAMA GGUFqwen35 · 27.3B · Q4_K_M
Oct 2, 2026 · AMD Ryzen 9 5950X 16-Core Processor
Global Score
66 vs 68
Hardware Fit
100 vs 22
Quality Score
52 vs 88
Hardware
hf.co/empero-ai/Qw… qwen3.8:latest
MachineMacBook ProSystem manufacturer
CPUApple M4AMD Ryzen 9 5950X 16-Core Processor
Cores1032
RAM16 GB32 GB
GPUApple M4NVIDIA GeForce RTX 3090
OSmacOS 26.6.1Microsoft Windows 11 Pro 10.0.26300
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen3.8:latest
Tokens/sec26.510.0
First chunk447 ms1041 ms
TTFT447 ms14.3 s
Load time3.3 s22.3 s
Memory usage4.8 GB26.2 GB
Memory %30%82%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.8:latest
Speed
12/50
TTFT
1/20
Memory
9/30
Quality
hf.co/empero-ai/Qwen3.8…
Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
qwen3.8:latest
Reasoning
19/20
Coding
19/20
Instruction
10/20
Structured
15/15
Math
15/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Strong
Run yours and compare
$
npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest