hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
maternion/ling-3.0-tiny:8b
OLLAMA GGUFbailingmoe3 · 7.9B · Q4_K_M
Aug 24, 2026 · Apple M1 Pro
Global Score
76 vs 68
Hardware Fit
100 vs 98
Quality Score
66 vs 55
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/sec40.373.6
First chunk101 ms190 ms
TTFT101 ms190 ms
Load time2.7 s2.9 s
Memory usage4.5 GB5.9 GB
Memory %28%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
11/20
Coding
10/20
Instruction
12/20
Structured
15/15
Math
8/15
Multilingual
10/10
Reasoning: Adequate Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Strong
maternion/ling-3.0-tiny…
Reasoning
19/20
Coding
17/20
Instruction
3/20
Structured
0/15
Math
15/15
Multilingual
1/10
Reasoning: Strong Coding: Strong Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest