starling-lm:7b

llama · 7B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 2, 2026

Top 49% Compare

Global Score

68 /100

Good

Hardware Fit

97/100

Quality

49/100

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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: 23.7
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±0.1
Time to first token How fast the model starts responding — lower is better: 234 ms
Load time Time to load the model into memory before inference: 0.4 s
Memory usage RAM consumed during inference — percentage of total system memory: 5.3 GB (17%)
Total tokens Total number of tokens generated across all benchmark prompts: 1363

Score breakdown

Speed

37/40

Time to first token

30/30

Memory

30/30

Quality

Reasoning

11/20

Coding

13/20

Instruction following

6/20

Structured output

3/15

Math

8/15

Multilingual

8/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: 5798b15a8548dabd698c3725497cdb855e7baebd5abea4598e13057c994aeae1

Interpretation

Hardware fit: 97/100. Overall suitability: GOOD (Global 68/100). Category profile: Reasoning: Adequate, Coding: Adequate, Instruction Following: Weak, Structured Output: Poor, Math: Adequate, Multilingual: Strong.

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