qwen2.5:0.5b

qwen2 · 494.03M · Q4_K_M

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 76% Compare

Global Score

57 /100

Marginal

Hardware Fit

100/100

Quality

39/100

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Ollama

ollama pull qwen2.5:0.5b

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ollama.com/library/qwen2.5

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GGUF versions & quantizations

Hardware

Machine: MacBook Air
CPU: Apple M4
Cores: 10 total (4 perf + 6 eff)
Frequency: 2.4 GHz
RAM: 32 GB LPDDR5
GPU: Apple M4
OS: macOS 26.3
Arch: arm64
Power Mode: balanced

Performance

Tokens/sec Tokens generated per second — higher is better: 165.0
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±3.0
First chunk latency Delay before the first streamed chunk arrives from runtime: N/A
Time to first token How fast the model starts responding — lower is better: 81 ms
Load time Time to load the model into memory before inference: 0.5 s
Memory usage RAM consumed during inference — percentage of total system memory: 1.7 GB (5%)
Total tokens Total number of tokens generated across all benchmark prompts: 1255

Score breakdown

Speed

40/50

Time to first token

30/20

Memory

30/30

Quality

Reasoning

6/20

Coding

6/20

Instruction following

7/20

Structured output

11/15

Math

5/15

Multilingual

4/10

Category levels

Reasoning: Weak Coding: Weak Instruction Following: Weak Structured Output: Adequate Math: Weak Multilingual: Weak

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: f4eb06068ffd0ce42f5bd582e88d8032171066245bb869070cb9e8d794c347f6

Interpretation

Hardware fit: 100/100. Overall suitability: GOOD (Global 63/100). Category profile: Reasoning: Weak, Coding: Weak, Instruction Following: Weak, Structured Output: Adequate, Math: Weak, Multilingual: Weak.

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Or run without installing: npx metrillm@latest