hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 25, 2026 · Apple M1 Pro
Ling-3.0-tiny-IQ4_XS:latest
OLLAMA GGUFbailingmoe3 · 7.9B · IQ4_XS
Aug 30, 2026 · Intel Core™ i7-7700HQ
Global Score
76 vs 87
Hardware Fit
100 vs 100
Quality Score
66 vs 82
Hardware
hf.co/empero-ai/Qw… Ling-3.0-tiny-IQ4_…
MachineMacBook ProASUSTeK COMPUTER INC. GL702VMK
CPUApple M1 ProIntel Core™ i7-7700HQ
Cores108
RAM16 GB16 GB
GPUApple M1 ProNVIDIA GeForce GTX 1060
OSmacOS 26.6.2Microsoft Windows 11 Home 10.0.26200
Archarm64x64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… Ling-3.0-tiny-IQ4_…
Tokens/sec40.324.7
First chunk101 ms283 ms
TTFT101 ms283 ms
Load time2.7 s45.8 s
Memory usage4.5 GB4.3 GB
Memory %28%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
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
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
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