hf.co/empero-ai/Qwen3.8-4B-Distill-GGUF:Q4_K_M
OLLAMA GGUFqwen35 · 4.33B · unknown
Aug 28, 2026 · Apple M4
qwen2.5-1.5b-instruct
LM-STUDIO GGUFqwen2 · 1.5B · Q4_K_M
Mar 6, 2026 · Intel Core™ i5-5300U
Global Score
66 vs 61
Hardware Fit
100 vs 69
Quality Score
52 vs 58
Hardware
hf.co/empero-ai/Qw… qwen2.5-1.5b-instr…
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… qwen2.5-1.5b-instr…
Tokens/sec26.56.6
First chunk447 ms2277 ms
TTFT447 ms2.3 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
qwen2.5-1.5b-instruct
Speed
23/50
TTFT
19/20
Memory
27/30
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-instruct
Reasoning
9/20
Coding
9/20
Instruction
13/20
Structured
14/15
Math
5/15
Multilingual
8/10
Reasoning: Weak Coding: Weak 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