qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
hf.co/empero-ai/Qwen3.8-2B-Distill-GGUF:BF16
OLLAMA GGUFqwen35 · 1.94B · BF16
Aug 23, 2026 · Apple M1 Pro
Global Score
65 vs 66
Hardware Fit
92 vs 100
Quality Score
54 vs 52
Hardware
qwen2.5:1.5b hf.co/empero-ai/Qw…
MachineiMacMacBook Pro
CPUIntel Core™ i7-4771Apple M1 Pro
Cores810
RAM32 GB16 GB
GPUNVIDIA GeForce GTX 780MApple M1 Pro
OSmacOS 15.7.3macOS 26.6.2
Archx64arm64
Power Modebalancedbalanced
Performance
qwen2.5:1.5b hf.co/empero-ai/Qw…
Tokens/sec19.640.4
First chunk690 ms93 ms
TTFT690 ms93 ms
Load time21.4 s2.7 s
Memory usage1.0 GB4.7 GB
Memory %3%30%
HW Fit Score Breakdown
qwen2.5:1.5b
Speed
42/50
TTFT
20/20
Memory
30/30
hf.co/empero-ai/Qwen3.8…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
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
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
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