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hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 22, 2026 · Apple M1 Pro

maternion/ling-3.0-tiny:8b

OLLAMA GGUF

bailingmoe3 · 7.9B · Q4_K_M

Excellent

Aug 25, 2026 · Apple M1 Pro

Global Score
66 vs 88
Hardware Fit
100 vs 98
Quality Score
52 vs 83

Hardware

hf.co/empero-ai/Qw… maternion/ling-3.0…
MachineMacBook ProMacBook Pro
CPUApple M1 ProApple M1 Pro
Cores1010
RAM16 GB16 GB
GPUApple M1 ProApple M1 Pro
OSmacOS 26.6.2macOS 26.6.2
Archarm64arm64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… maternion/ling-3.0…
Tokens/sec40.273.0
First chunk325 ms175 ms
TTFT325 ms175 ms
Load time3.1 s3.2 s
Memory usage4.7 GB5.9 GB
Memory %30%37%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

maternion/ling-3.0-tiny…

Speed
50/50
TTFT
20/20
Memory
28/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
15/20
Coding
9/20
Instruction
8/20
Structured
1/15
Math
15/15
Multilingual
4/10
Reasoning: Adequate Coding: Weak Instruction Following: Weak Structured Output: Poor Math: Strong Multilingual: Weak

maternion/ling-3.0-tiny…

Reasoning
16/20
Coding
19/20
Instruction
15/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Strong Coding: Strong Instruction Following: Strong Structured Output: Strong Math: Adequate Multilingual: Strong
View hf.co/empero-ai/Qw… details | View maternion/ling-3.0… 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