stablelm2:1.6b

stablelm · 2B · Q4_0

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 1, 2026

Top 89% Compare

Global Score

48 /100

Marginal

Hardware Fit

98/100

Quality

15/100

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Ollama

ollama pull stablelm2:1.6b

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ollama.com/library/stablelm2

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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: 62.8
Standard deviation Variation of speed across benchmark runs — lower means more consistent: ±1.2
Time to first token How fast the model starts responding — lower is better: 126 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: 1.1 GB (3%)
Total tokens Total number of tokens generated across all benchmark prompts: 1269

Score breakdown

Speed

40/40

Time to first token

30/30

Memory

28/30

Quality

Reasoning

4/20

Coding

0/20

Instruction following

6/20

Structured output

1/15

Math

2/15

Multilingual

2/10

Category levels

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

Metadata

Spec version: 0.2.0
Runtime: Ollama 0.17.4
Model format: GGUF
Hardware profile: BALANCED
Result hash: 1467feb1cb2b11bed7c415050081564754dd36a2127aada68c77ae22de2cad3b

Interpretation

Hardware fit: 98/100. Overall suitability: MARGINAL (Global 48/100). Category profile: Reasoning: Poor, Coding: Poor, Instruction Following: Weak, Structured Output: Poor, Math: Poor, Multilingual: Poor.

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npx metrillm@latest bench

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