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hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M

OLLAMA GGUF

qwen35 · 4.33B · unknown

Good

Aug 28, 2026 · Apple M4

qwen2.5:1.5b

OLLAMA GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 16, 2026 · Intel Core™ i7-4771

Global Score
66 vs 65
Hardware Fit
100 vs 92
Quality Score
52 vs 54

Hardware

hf.co/empero-ai/Qw… qwen2.5:1.5b
MachineMacBook ProiMac
CPUApple M4Intel Core™ i7-4771
Cores108
RAM16 GB32 GB
GPUApple M4NVIDIA GeForce GTX 780M
OSmacOS 26.6.1macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen2.5:1.5b
Tokens/sec26.519.6
First chunk447 ms690 ms
TTFT447 ms690 ms
Load time3.3 s21.4 s
Memory usage4.8 GB1.0 GB
Memory %30%3%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen2.5:1.5b

Speed
42/50
TTFT
20/20
Memory
30/30

Quality

hf.co/empero-ai/Qwen3.8…

Reasoning
18/20
Coding
14/20
Instruction
4/20
Structured
1/15
Math
15/15
Multilingual
0/10
Reasoning: Strong Coding: Adequate Instruction Following: Poor Structured Output: Poor Math: Strong Multilingual: Poor

qwen2.5:1.5b

Reasoning
8/20
Coding
9/20
Instruction
12/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
View hf.co/empero-ai/Qw… details | View qwen2.5:1.5b details

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$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest