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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

Ling-3.0-tiny-IQ4_XS:latest

OLLAMA GGUF

bailingmoe3 · 7.9B · IQ4_XS

Excellent

Aug 30, 2026 · Intel Core™ i7-7700HQ

Global Score
66 vs 87
Hardware Fit
100 vs 100
Quality Score
52 vs 82

Hardware

hf.co/empero-ai/Qw… Ling-3.0-tiny-IQ4_…
MachineMacBook ProASUSTeK COMPUTER INC. GL702VMK
CPUApple M4Intel Core™ i7-7700HQ
Cores108
RAM16 GB16 GB
GPUApple M4NVIDIA GeForce GTX 1060
OSmacOS 26.6.1Microsoft Windows 11 Home 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… Ling-3.0-tiny-IQ4_…
Tokens/sec26.524.7
First chunk447 ms283 ms
TTFT447 ms283 ms
Load time3.3 s45.8 s
Memory usage4.8 GB4.3 GB
Memory %30%27%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

Ling-3.0-tiny-IQ4_XS:la…

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

Ling-3.0-tiny-IQ4_XS:la…

Reasoning
17/20
Coding
18/20
Instruction
14/20
Structured
15/15
Math
9/15
Multilingual
9/10
Reasoning: Strong Coding: Strong Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View Ling-3.0-tiny-IQ4_… 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