Back to leaderboard

hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

qwen3:0.6b

OLLAMA GGUF

qwen3 · 751.63M · Q4_K_M

Good

Oct 11, 2026 · AMD Ryzen 5 5500

Global Score
66 vs 74
Hardware Fit
100 vs 100
Quality Score
52 vs 63

Hardware

hf.co/empero-ai/Qw… qwen3:0.6b
MachineMacBook ProMicrosoft WSL
CPUApple M4AMD Ryzen 5 5500
Cores1012
RAM16 GB8 GB
GPUApple M4Integrated / Unknown
OSmacOS 26.6.1Ubuntu 26.04.1 LTS
Archarm64x64
Power Modebalancedunknown

Performance

hf.co/empero-ai/Qw… qwen3:0.6b
Tokens/sec26.5249.5
First chunk447 ms80 ms
TTFT447 ms659 ms
Load time3.3 s6.3 s
Memory usage4.8 GB0.9 GB
Memory %30%11%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3:0.6b

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

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

qwen3:0.6b

Reasoning
13/20
Coding
6/20
Instruction
12/20
Structured
13/15
Math
12/15
Multilingual
7/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Strong Multilingual: Adequate
View hf.co/empero-ai/Qw… details | View qwen3:0.6b details

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