starcoder2:3b
starcoder2 · 3B · Q4_0
MacBook Air (Apple M4)
32 GB · macOS 26.3
Tested on March 2, 2026
Global Score
48 /100
Marginal
Hardware Fit
100/100
Quality
13/100
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Ollama
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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
- 49.4
- Standard deviation
- ±18.5
- Time to first token
- 155 ms
- Load time
- 0.4 s
- Memory usage
- 3.0 GB (9%)
- Total tokens
- 520
Score breakdown
Speed
40/40
Time to first token
30/30
Memory
30/30
Quality
Reasoning
0/20
Coding
2/20
Instruction following
5/20
Structured output
2/15
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
- 14c0938227f89f1b26f378a0feed5f056f2d65ec2f579b488d700416d67f7c6a
Interpretation
Hardware fit: 100/100. Overall suitability: MARGINAL (Global 48/100). Category profile: Reasoning: Poor, Coding: Poor, Instruction Following: Weak, Structured Output: Poor, Math: Poor, Multilingual: Poor. Warning: model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.
Warnings
- Model produced very low accuracy on quality tasks — results may be unusable despite good hardware performance.
- Token speed is unstable (stddev 18.5 tok/s, mean 49.4 tok/s) — may indicate thermal throttling or memory pressure.
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npx metrillm@latest benchRequires Node 20+ and Ollama running