mlx-community/Yi-1.5-6B-Chat-4bit
LM-STUDIO GGUFMar 5, 2026 · Apple M4
qwen2.5:1.5b
OLLAMA GGUFqwen2 · 1.5B · Q4_K_M
Mar 16, 2026 · Intel Core™ i7-4771
Global Score
73 vs 65
Hardware Fit
100 vs 92
Quality Score
62 vs 54
Hardware
mlx-community/Yi-1… qwen2.5:1.5b
MachineMacBook AiriMac
CPUApple M4Intel Core™ i7-4771
Cores108
RAM32 GB32 GB
GPUApple M4NVIDIA GeForce GTX 780M
OSmacOS 26.3macOS 15.7.3
Archarm64x64
Power Modebalancedbalanced
Performance
mlx-community/Yi-1… qwen2.5:1.5b
Tokens/sec29.119.6
First chunk451 ms690 ms
TTFT451 ms690 ms
Load timeN/A21.4 s
Memory usage0.9 GB1.0 GB
Memory %3%3%
HW Fit Score Breakdown
mlx-community/Yi-1.5-6B…
Speed
50/50
TTFT
20/20
Memory
30/30
qwen2.5:1.5b
Speed
42/50
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
qwen2.5:1.5b
Reasoning
8/20
Coding
9/20
Instruction
12/20
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