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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

qwen3.5:4b

OLLAMA GGUF

qwen35 · 4.7B · Q4_K_M

Good

Aug 28, 2026 · Intel Core™ i5-10210U

Global Score
66 vs 64
Hardware Fit
100 vs 69
Quality Score
52 vs 62

Hardware

hf.co/empero-ai/Qw… qwen3.5:4b
MachineMacBook ProLENOVO 20U30029MB
CPUApple M4Intel Core™ i5-10210U
Cores108
RAM16 GB15 GB
GPUApple M4CometLake-U GT2 [UHD Graphics]
OSmacOS 26.6.1Pop 24.04 LTS
Archarm64x64
Power Modebalancedperformance

Performance

hf.co/empero-ai/Qw… qwen3.5:4b
Tokens/sec26.57.4
First chunk447 ms1815 ms
TTFT447 ms1.8 s
Load time3.3 s10.9 s
Memory usage4.8 GB3.5 GB
Memory %30%23%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen3.5:4b

Speed
19/50
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

qwen3.5:4b

Reasoning
15/20
Coding
14/20
Instruction
6/20
Structured
12/15
Math
6/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Weak Structured Output: Strong Math: Weak 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