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

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

llama4:scout

OLLAMA GGUF

llama4 · 108.6B · Q4_K_M

Excellent

Oct 3, 2026 · Cortex-X925

Global Score
66 vs 81
Hardware Fit
100 vs 64
Quality Score
52 vs 88

Hardware

hf.co/empero-ai/Qw… llama4:scout
MachineMacBook ProNVIDIA NVIDIA_DGX_Spark
CPUApple M4Cortex-X925
Cores1020
RAM16 GB122 GB
GPUApple M4Device 2e12
OSmacOS 26.6.1Ubuntu 24.04.5 LTS
Archarm64arm64
Power Modebalancedperformance

Performance

hf.co/empero-ai/Qw… llama4:scout
Tokens/sec26.519.6
First chunk447 ms677 ms
TTFT447 ms677 ms
Load time3.3 s13.1 s
Memory usage4.8 GB63.4 GB
Memory %30%52%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

llama4:scout

Speed
20/50
TTFT
20/20
Memory
24/30

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

llama4:scout

Reasoning
17/20
Coding
19/20
Instruction
16/20
Structured
13/15
Math
13/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Strong 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