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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-coder-1.5b-instruct

LM-STUDIO GGUF

qwen2 · 1.5B · Q4_K_M

Good

Mar 6, 2026 · Intel Core™ i5-5300U

Global Score
66 vs 61
Hardware Fit
100 vs 69
Quality Score
52 vs 57

Hardware

hf.co/empero-ai/Qw… qwen2.5-coder-1.5b…
MachineMacBook ProLENOVO 20BUS00700
CPUApple M4Intel Core™ i5-5300U
Cores104
RAM16 GB16 GB
GPUApple M4Intel(R) HD Graphics 5500
OSmacOS 26.6.1Microsoft Windows 10 Professionnel 10.0.19045
Archarm64x64
Power Modebalancedbalanced

Performance

hf.co/empero-ai/Qw… qwen2.5-coder-1.5b…
Tokens/sec26.57.3
First chunk447 ms2369 ms
TTFT447 ms2.4 s
Load time3.3 sN/A
Memory usage4.8 GB0.9 GB
Memory %30%6%

HW Fit Score Breakdown

hf.co/empero-ai/Qwen3.8…

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

qwen2.5-coder-1.5b-inst…

Speed
25/50
TTFT
18/20
Memory
26/30

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-coder-1.5b-inst…

Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
3/15
Multilingual
8/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor Multilingual: Strong

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