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

richardyoung/qwythos-9b-abliterated:Q8_0

OLLAMA GGUF

qwen35 · 9.0B · Q8_0

Good

Jun 28, 2026 · Apple M4 Pro

Global Score
66 vs 65
Hardware Fit
100 vs 96
Quality Score
52 vs 52

Hardware

hf.co/empero-ai/Qw… richardyoung/qwyth…
MachineMacBook ProMac mini
CPUApple M4Apple M4 Pro
Cores1012
RAM16 GB24 GB
GPUApple M4Apple M4 Pro
OSmacOS 26.6.1macOS 15.6.1
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… richardyoung/qwyth…
Tokens/sec26.525.3
First chunk447 ms397 ms
TTFT447 ms397 ms
Load time3.3 s6.3 s
Memory usage4.8 GB8.3 GB
Memory %30%34%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

richardyoung/qwythos-9b…

Speed
47/50
TTFT
20/20
Memory
29/30

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

richardyoung/qwythos-9b…

Reasoning
18/20
Coding
13/20
Instruction
6/20
Structured
0/15
Math
14/15
Multilingual
1/10
Reasoning: Strong Coding: Adequate Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Poor

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