hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 22, 2026 · Apple M1 Pro
qwen2.5:3b
OLLAMA GGUFqwen2 · 3.1B · Q4_K_M
Mar 2, 2026 · Apple M4
Global Score
66 vs 77
Hardware Fit
100 vs 100
Quality Score
52 vs 67
Hardware
hf.co/empero-ai/Qw… qwen2.5:3b
MachineMacBook ProMacBook Air
CPUApple M1 ProApple M4
Cores1010
RAM16 GB32 GB
GPUApple M1 ProApple M4
OSmacOS 26.6.2macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
hf.co/empero-ai/Qw… qwen2.5:3b
Tokens/sec40.247.2
First chunk325 msN/A
TTFT325 ms168 ms
Load time3.1 s0.5 s
Memory usage4.7 GB4.0 GB
Memory %30%13%
HW Fit Score Breakdown
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2.5:3b
Speed
40/50
TTFT
30/20
Memory
30/30
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
qwen2.5:3b
Reasoning
12/20
Coding
14/20
Instruction
12/20
Structured
15/15
Math
5/15
Multilingual
9/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Weak 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