mlx-community/stablelm-2-zephyr-1_6b-4bit

MacBook Air (Apple M4)

32 GB · macOS 26.3

Tested on March 5, 2026
Top 81% Compare
Global Score
50 /100
Marginal
Hardware Fit
100/100
Quality
29/100

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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
93.6
Standard deviation
±8.2
First chunk latency
166 ms
Time to first token
166 ms
Load time
N/A
Memory usage
0.7 GB (2%)
Total tokens
1188

Score breakdown

Speed
50/50
Time to first token
20/20
Memory
30/30

Quality

Reasoning
7/20
Coding
2/20
Instruction following
9/20
Structured output
3/15
Math
4/15
Multilingual
4/10

Category levels

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

Metadata

Spec version
0.2.1
Runtime
LM Studio 0.4.6+1
Model format
GGUF
Hardware profile
BALANCED
Result hash
66b088e2395250fa6e72988635da82800d407ef73c29971ad30e74ac19d59e57

Interpretation

Hardware fit: 100/100. Overall suitability: MARGINAL (Global 50/100). Category profile: Reasoning: Weak, Coding: Poor, Instruction Following: Weak, Structured Output: Poor, Math: Poor, Multilingual: Weak.

Bench Environment

Power: AC CPU load: avg 22% (peak 25%)

Run yours now

$ npm install -g metrillm@latest
$ metrillm

Requires Node 20+ and Ollama or LM Studio running

Or run without installing: npx metrillm@latest