wizardlm2:7b

llama · 7B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

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Global Score

65 /100

Good

Hardware Fit

97/100

Quality

43/100

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ollama pull wizardlm2:7b

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ollama.com/library/wizardlm2

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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: 23.2
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.4
Time to first token How fast the model starts responding — lower is better: 264 ms
Load time Time to load the model into memory before inference: 0.6 s
Memory usage RAM consumed during inference — percentage of total system memory: 9.9 GB (31%)
Total tokens Total number of tokens generated across all benchmark prompts: 1501

Score breakdown

Speed

37/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

6/20

Coding

11/20

Instruction following

10/20

Structured output

4/15

Math

4/15

Multilingual

8/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: eaf76fe5b2f37bd18cfb917fe86d0f60c6eba8944742749d27ba7f5a410d7ad8

Interpretation

Hardware fit: 97/100. Overall suitability: GOOD (Global 65/100). Category profile: Reasoning: Weak, Coding: Adequate, Instruction Following: Adequate, Structured Output: Weak, Math: Weak, Multilingual: Strong.

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