mlx-community/stablelm-2-zephyr-1_6b-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen3.5:0.8b
OLLAMA GGUFqwen35 · 873.44M · Q8_0
Mar 2, 2026 · Apple M4
Global Score
50 vs 65
Hardware Fit
100 vs 99
Quality Score
29 vs 51
Hardware
mlx-community/stab… qwen3.5:0.8b
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/stab… qwen3.5:0.8b
Tokens/sec93.648.2
First chunk166 msN/A
TTFT166 ms195 ms
Load timeN/A1.0 s
Memory usage0.7 GB2.5 GB
Memory %2%8%
HW Fit Score Breakdown
mlx-community/stablelm-…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen3.5:0.8b
Speed
40/50
TTFT
30/20
Memory
29/30
Quality
mlx-community/stablelm-…
Reasoning
7/20
Coding
2/20
Instruction
9/20
Structured
3/15
Math
4/15
Multilingual
4/10
Reasoning: Weak Coding: Poor Instruction Following: Weak Structured Output: Poor Math: Poor Multilingual: Weak
qwen3.5:0.8b
Reasoning
9/20
Coding
6/20
Instruction
11/20
Structured
13/15
Math
5/15
Multilingual
7/10
Reasoning: Weak Coding: Weak Instruction Following: Adequate Structured Output: Strong Math: Weak Multilingual: Adequate
Run yours and compare
$
npm install -g metrillm@latest$
metrillmRequires Node 20+ and Ollama or LM Studio running
Or run without installing: npx metrillm@latest