mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen2.5-coder-1.5b-instruct-mlx
LM-STUDIO MLXqwen2 · 1.5B · 8bit
Mar 4, 2026 · Apple M4
Global Score
73 vs 70
Hardware Fit
100 vs 100
Quality Score
62 vs 57
Hardware
mlx-community/Yi-1… qwen2.5-coder-1.5b…
MachineMacBook AirMacBook Air
CPUApple M4Apple M4
Cores1010
RAM32 GB32 GB
GPUApple M4Apple M4
OSmacOS 26.3macOS 26.3
Archarm64arm64
Power Modebalancedbalanced
Performance
mlx-community/Yi-1… qwen2.5-coder-1.5b…
Tokens/sec29.158.4
First chunk451 ms234 ms
TTFT451 ms234 ms
Load timeN/AN/A
Memory usage0.9 GB1.5 GB
Memory %3%5%
HW Fit Score Breakdown
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2.5-coder-1.5b-inst…
Speed
50/50
TTFT
20/20
Memory
30/30
Quality
mlx-community/Yi-1.5-6B…
Reasoning
10/20
Coding
11/20
Instruction
13/20
Structured
13/15
Math
9/15
Multilingual
6/10
Reasoning: Adequate Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Adequate Multilingual: Adequate
qwen2.5-coder-1.5b-inst…
Reasoning
9/20
Coding
12/20
Instruction
13/20
Structured
12/15
Math
4/15
Multilingual
7/10
Reasoning: Weak Coding: Adequate Instruction Following: Adequate Structured Output: Strong Math: Poor 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