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

OLLAMA GGUF

qwen35 · 1.94B · BF16

Good

Aug 23, 2026 · Apple M1 Pro

llama3.2:1b

OLLAMA GGUF

llama · 1.2B · Q8_0

Good

Mar 5, 2026 · AMD Ryzen 9 8945HS

Global Score
66 vs 62
Hardware Fit
100 vs 91
Quality Score
52 vs 50

Hardware

hf.co/empero-ai/Qw… llama3.2:1b
MachineMacBook ProASUSTeK COMPUTER INC. ROG Zephyrus G14 GA403UV_GA403UV
CPUApple M1 ProAMD Ryzen 9 8945HS
Cores1016
RAM16 GB15 GB
GPUApple M1 ProNVIDIA GeForce RTX 4060 Laptop GPU, AMD Radeon 780M Graphics
OSmacOS 26.6.2Microsoft Windows 11 Home 10.0.26200
Archarm64x64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… llama3.2:1b
Tokens/sec40.4170.2
First chunk93 ms142 ms
TTFT93 ms142 ms
Load time2.7 s3.2 s
Memory usage4.7 GB1.6 GB
Memory %30%11%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

llama3.2:1b

Speed
50/50
TTFT
20/20
Memory
21/30

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

llama3.2:1b

Reasoning
4/20
Coding
13/20
Instruction
14/20
Structured
13/15
Math
0/15
Multilingual
6/10
Reasoning: Poor Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Adequate

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