hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
llama3.2:1b
OLLAMA GGUFllama · 1.2B · Q8_0
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/sec40.2170.2
First chunk325 ms142 ms
TTFT325 ms142 ms
Load time3.1 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
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npm install -g metrillm@latest$
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Or run without installing: npx metrillm@latest